Javelin vs Denuvo vs Vanguard: 26.7M Cheats Blocked [2026]

Anti-cheat software quietly became one of the most contested engineering problems in gaming during 2026. Electronic Arts says its in-house Javelin Anticheat now protects 21 titles and has watched over 10.8 billion PC gaming sessions, blocking 26.7 million cheat attempts along the way, according to a September 2026 progress update published by EA. Meanwhile Embark Studios rebuilt the anti-cheat stack behind ARC Raiders around Denuvo’s kernel-level driver and a behavioral detection layer from Anybrain, and Riot Games rolled out a redesigned Vanguard On-Demand model that only loads its kernel driver the moment a Riot game actually launches. Three very different philosophies, three very different trade-offs, and three vendors fighting for the same goal: keeping cheaters out without alienating the players who never cheated in the first place.

This comparison breaks down how EA Javelin, Denuvo Anti-Cheat paired with Anybrain, and Riot Vanguard actually work under the hood, what each one costs studios to license or build, how they perform against real enforcement data, and which approach fits which kind of game. We also look at where NVIDIA’s new RTX Spark handheld platform leaves compatibility gaps, and how the October 2026 ARC Raiders policy overhaul changed the industry’s appetite for permanent bans on first offense.

Anti-cheat used to be a line item buried in a game’s technical requirements, something players noticed only when it caused a crash or blocked a launch. That changed in 2026 for a simple reason: the scale of the problem became impossible to hide. EA’s own disclosure of 10.8 billion monitored sessions and 26.7 million blocked cheat attempts is not a marketing number dressed up for a press release, it is a direct admission of how much cheating traffic a modern live-service catalog actually absorbs every single day. When a publisher the size of EA, a studio the size of Embark, and a developer the size of Riot all independently decide 2026 is the year to overhaul their detection philosophy, that is a signal the old assumptions about what “good enough” anti-cheat looks like stopped holding up.

How EA Javelin Anticheat Works Under the Hood

EA Javelin Anticheat is the publisher’s own in-house system, built to replace third-party middleware across EA’s live-service catalog. Mike Reavey, EA’s CISO and SVP of Security Engineering, described the core mechanism plainly: “The game won’t start unless Javelin is running, and when Javelin is running, it’s watching the game and the processes around the game, the memory, and all the things that the computer loads,” he told IT Brew. That is a hard gate. If Javelin cannot initialize, the title simply refuses to boot, which is a different posture than anti-cheat systems that run as background watchdogs the player can theoretically delay or interfere with.

Once running, Javelin continuously compares the live state of the game process against an expected baseline. Reavey summarized the detection logic as a constant diff check: “And it says, ‘Did any of this change from what we expected it to be?’ Because if it changed, then it’s probably a cheat.” That expected-versus-actual model is a classic integrity-check approach, and EA has clearly scaled it across a huge footprint. The September 2026 update put coverage at 20 titles, and a GamesBeat interview published October 6, 2026 bumped that figure to 21 games, which signals EA is still actively expanding Javelin rather than treating it as a finished product.

EA has also confirmed it plans to add native ARM64 support to Javelin, a move clearly aimed at the growing handheld gaming market where chips from Qualcomm and MediaTek now compete directly with x86 APUs from AMD and Intel. Without ARM64 support, EA titles using Javelin simply cannot run natively on ARM-based handhelds, forcing emulation layers that tend to hurt both performance and anti-cheat reliability. That gap matters more every quarter as devices like the ROG Ally, Legion Go and newer ARM-based handhelds fight for shelf space.

Denuvo Anti-Cheat and Anybrain: Embark’s Two-Layer Defense in ARC Raiders

Embark Studios took a different architectural route for ARC Raiders. Rather than building a single in-house system from scratch, the studio layered Denuvo’s kernel-level anti-cheat driver underneath Anybrain’s behavioral detection engine, then added its own in-house machine-learning cheat-detection models on top. That three-part stack is unusual: most studios pick one vendor and lean on it, while Embark is explicitly running a kernel enforcement layer, a third-party behavioral AI layer, and a home-grown ML layer simultaneously.

Denuvo’s own positioning draws a sharp line between its anti-tamper DRM product and its anti-cheat product, even though they share engineering DNA. Andreas Ullmann, Denuvo’s product manager, explained the relationship this way: “The core is the same, but the function of what they do is different,” he told Ars Technica. Denuvo Anti-Cheat is pitched to studios as a tool for “trusted, competitive play,” and Irdeto, the company that owns Denuvo, markets it directly to multiplayer and esports titles where a kernel-level integrity check is considered table stakes.

Embark is also testing Elytra, its own anti-cheat detection system, inside THE FINALS before bringing it to ARC Raiders in the longer term. That staged rollout, testing new detection tech in a smaller or more controlled title before deploying it to the flagship game, is a pattern other studios are likely to copy as anti-cheat stacks get more complex and layered.

The enforcement side changed dramatically in October 2026. Embark confirmed that first-time cheaters caught with confirmed cheat software in ARC Raiders can now receive permanent bans without the warning period that used to be standard, according to Beebom’s coverage of the policy overhaul. Embark also lowered its threshold for issuing hardware bans and is expanding hardware-ban capability to cover nearly every system it detects running cheat software, a far more aggressive enforcement posture than the gradual warning-then-suspension ladder that was common across the industry just a year earlier.

Riot Vanguard On-Demand: The Kernel Driver That Only Runs When You Play

Riot Games’ Vanguard has long been one of the most discussed kernel-level anti-cheat systems because it historically loaded at Windows boot and stayed resident even when no Riot game was running. That design choice drew years of criticism from privacy-conscious players who objected to a third-party kernel driver sitting in memory around the clock. Riot answered that criticism on June 24, 2026 with Vanguard On-Demand, a rework that lets the kernel driver start only when a Riot game actually launches instead of loading at system startup.

Phillip Koskinas, Riot’s Director and Head of Anti-Cheat, framed the broader Vanguard philosophy around visibility rather than pure blocking. Essentially, Vanguard “forces cheats to be visible,” he told TechCrunch, describing how the system leans on operating-system security features to expose cheating activity rather than simply trying to wall it off. Paul Chamberlain, Riot’s Security and Anti-Cheat Lead, added a second angle on why Vanguard changed Riot’s cheat-fighting economics: “Vanguard has made it easier for us to fight cheats in two ways: first, the protection mechanisms in Vanguard make it more difficult and time-consuming to create cheats,” he told PCGamesInsider.

That “time-consuming to create” framing matters because it reflects a cost-imposition strategy rather than a zero-cheats-ever promise. Vanguard’s bet is that if building a working cheat takes long enough and costs enough in wasted hardware bans, the volume of cheat developers willing to keep iterating against Valorant and League titles shrinks over time, even if a determined minority still gets through occasionally.

Common Cheat Categories Each System Is Built to Catch

Not every cheat works the same way, and that is exactly why EA, Embark and Riot are no longer betting on a single detection method. Aimbots and wallhacks that run inside the game’s own process space, reading or writing memory directly, are the classic target for kernel-level integrity checks: both Javelin and Vanguard are built around the idea that if a process’s memory map does not match what the game expects, something has tampered with it. Macro-based and scripted cheats, which automate inputs rather than touching memory, are harder for a pure integrity check to catch because nothing in the process itself looks abnormal; that is where behavioral analysis earns its keep, since a scripted cheat tends to produce statistically inhuman consistency in things like reaction time or recoil control.

The hardest category for any of these systems is hardware-level cheating through direct memory access, commonly shortened to DMA, where a cheat reads a game’s memory through a secondary PCIe device rather than through software running on the same operating system instance. A kernel driver watching for software-level tampering can, in principle, miss a DMA cheat entirely, since the read happens outside the monitored process altogether. This is precisely the gap Embark’s layered approach is designed to close: even if a DMA-based cheat slips past Denuvo’s kernel checks, Anybrain’s behavioral layer is still watching for the downstream effect, impossibly consistent aim or reaction times that no human produces naturally. No single detection method covers every cheat category perfectly, which is the strongest practical argument for the layered model gaining ground across the industry in 2026.

Specs at a Glance: EA Javelin vs Denuvo Plus Anybrain vs Riot Vanguard

The table below lines up the three systems across the attributes that matter most to studios evaluating anti-cheat middleware in late 2026: ownership model, detection approach, kernel access, enforcement posture, and scale.

Attribute	EA Javelin Anticheat	Denuvo Anti-Cheat + Anybrain (ARC Raiders)	Riot Vanguard On-Demand
Owner / developer	Electronic Arts (in-house)	Irdeto (Denuvo) + Anybrain, deployed by Embark Studios	Riot Games (in-house)
Primary detection model	Kernel-level process and memory integrity checks	Kernel driver plus behavioral AI plus in-house ML models	Kernel driver leveraging OS security features
Games protected	21 titles as of October 2026	ARC Raiders; Elytra tested first in THE FINALS	Valorant and other Riot titles
Kernel driver load timing	Required before game boot; game won’t start without it	Loads with Denuvo kernel component at launch	On-Demand: loads only when a Riot game launches (since June 24, 2026)
Reported scale	10.8 billion monitored PC sessions	Not separately disclosed by Embark	Not separately disclosed by Riot
Reported enforcement volume	26.7 million cheat attempts blocked	Hardware-ban threshold lowered, Oct. 2026 policy change	Cost-imposition strategy on cheat developers
Ban policy for first offense	Not publicly itemized by offense count	Permanent ban possible on first confirmed cheat (Oct. 2026)	Not publicly itemized by offense count
Hardware ban scope	Not publicly detailed	Expanding to nearly all systems detected running cheats	Historically aggressive hardware-ban use
ARM64 / handheld roadmap	Native ARM64 support planned	Not publicly announced	Not publicly announced
NVIDIA RTX Spark compatibility	Expected early 2027	Not listed in RTX Spark materials reviewed	Listed as supported in RTX Spark launch materials
Licensing availability	In-house, EA titles only, not licensed externally	Denuvo licensed commercially; Anybrain licensed commercially	In-house, Riot titles only, not licensed externally
Latest major update	Coverage expanded to 21 games, Oct. 6, 2026 report	Enforcement policy overhaul, October 2026	On-Demand kernel model, June 24, 2026

A few patterns jump out immediately. EA is the only vendor of the three that has published hard scale numbers, 10.8 billion sessions and 26.7 million blocked attempts, while Embark and Riot have both been more specific about policy mechanics than about raw detection volume. That is not unusual in anti-cheat; publishing exact detection methodology risks helping cheat developers reverse-engineer the triggers, so most vendors disclose enforcement outcomes rather than detection internals.

Benchmark Data: Detection Scale, Ban Enforcement and Session Counts

Pulling hard benchmark numbers out of the anti-cheat industry is harder than comparing GPU frame rates, because studios treat detection methodology as a security secret. Still, three independent sources give us enough data points to compare real-world scale and enforcement intensity across the three systems this comparison covers.

Metric	Source	Figure	Context
Monitored PC sessions (Javelin)	EA official progress update	10.8 billion	Cumulative across 21 EA titles using Javelin
Cheat attempts blocked (Javelin)	EA official progress update	26.7 million	Measured over the reporting year
Titles covered by Javelin	EA / GamesBeat interview, Oct. 6, 2026	21 games	Up from 20 titles in the September 2026 figure
ARC Raiders ban policy change	TechPowerUp and Beebom reporting	Permanent ban on first offense	Confirmed cheat software use, Oct. 2026
Vanguard On-Demand rollout date	Windows Forum community analysis	June 24, 2026	Kernel driver now starts at game launch, not boot
RTX Spark anti-cheat compatibility list	NVIDIA launch materials	6 systems listed	BattlEye, EA Javelin, Easy Anti-Cheat, RICOCHET, Vanguard, Tencent Anti-Cheat Expert

The most telling line in that table is the RTX Spark compatibility list. NVIDIA named six anti-cheat systems its new handheld platform needs to work with at launch, and EA Javelin is the only one of the three systems in this comparison that NVIDIA says is not expected to be ready until early 2027. Vanguard already made the list at launch. That is a meaningful competitive gap for EA, since any EA title relying on Javelin may simply be unplayable on RTX Spark hardware until that support lands, while Valorant-style Vanguard-protected titles are already covered.

It is worth being direct about what this table cannot tell you: none of these figures are normalized against each other. EA’s 10.8 billion sessions and 26.7 million blocked attempts cover 21 titles with wildly different player counts and genres, from sports simulations to shooters, so the per-title detection rate implied by that aggregate figure is not something EA has broken out publicly. Embark and Riot, for their part, have chosen to talk about policy mechanics, permanent bans, hardware-ban thresholds, cost imposition, rather than raw volume, which makes a true apples-to-apples detection-rate comparison across all three systems impossible with publicly available data today. That gap is itself a useful finding for anyone doing vendor due diligence: ask every anti-cheat vendor for the same normalized metric, such as cheat attempts blocked per million sessions, before assuming one system is objectively “better” than another based on headline numbers alone.

Pricing and Licensing: What Studios Actually Pay

None of the three vendors in this comparison publish a public price list, which is normal for anti-cheat middleware; contracts are negotiated per studio and tied to player counts, platform scope, and support tier. What is publicly knowable is the licensing model each one uses, and that alone tells studios a lot about what kind of relationship they are signing up for.

System	Licensing model	Who can use it	Public pricing
EA Javelin Anticheat	Proprietary, in-house only	EA-published titles exclusively	Not licensed externally, no public price
Denuvo Anti-Cheat	Commercial license via Irdeto	Any studio that signs a licensing agreement	Custom quote, not publicly disclosed
Anybrain	Commercial license, behavioral detection layer	Studios that integrate it alongside a kernel driver	Custom quote, not publicly disclosed
Riot Vanguard	Proprietary, in-house only	Riot-published titles exclusively	Not licensed externally, no public price

That split matters strategically. A studio the size of Embark cannot build and maintain a Javelin-caliber in-house system from zero in a reasonable timeframe, so licensing Denuvo’s kernel component and layering Anybrain’s AI detection on top is the pragmatic middle path: strong protection without multi-year internal R&D. EA and Riot, by contrast, both have the scale and security engineering headcount to justify owning the entire stack, which also means neither one ever has to negotiate a renewal with an external vendor or worry about a licensing dispute interrupting service for live titles.

Budget conversations around anti-cheat also have to account for ongoing operating cost, not just the initial integration fee. A licensed system like Denuvo or Anybrain typically bills on some combination of per-title and per-player-count terms, which means a studio’s anti-cheat spend grows alongside its player base, a cost structure that is predictable but scales with success. An in-house system like Javelin or Vanguard has the opposite cost curve: a large fixed engineering investment up front, followed by a marginal cost per additional title or player that is close to zero once the core platform exists. That difference is exactly why EA’s strategy of stretching Javelin across 21 titles makes financial sense for a publisher of its size, while it would be a poor fit for a studio shipping a single game.

Kernel-Level vs Behavioral vs On-Demand: The Core Technical Trade-Offs

Every anti-cheat system in this comparison ultimately runs code at ring-0, the most privileged level of the operating system, because user-mode detection alone cannot reliably catch kernel-mode cheats. The differences are in when that privileged code runs and what triggers its decisions.

EA Javelin’s model is continuous and gating: the driver has to be active before the game will even start, and it keeps comparing live process state against an expected baseline for the entire session. That is a strict, always-on integrity check. Embark’s layered model for ARC Raiders adds a second axis entirely, behavioral pattern analysis via Anybrain sitting on top of Denuvo’s kernel enforcement, so even if a cheat somehow evades the kernel-level check, unusual in-game behavior (impossible aim consistency, inhuman reaction windows, wallhack-style pre-aiming) can still get flagged by the AI layer. Riot’s On-Demand approach changes the timing axis instead of the detection axis: the kernel driver still does similar integrity work to Javelin once it is running, but it simply is not resident in memory at all when you are not playing a Riot game.

A simplified way to think about the conceptual difference between a pure integrity-check model and a layered behavioral model looks roughly like this (this is an illustrative simplification, not source code from any vendor):

// Conceptual illustration only -- not actual vendor code
function checkIntegrity(processState, expectedBaseline) {
  if (processState.memoryMap !== expectedBaseline.memoryMap) {
    flagCheat("memory_mismatch");
  }
}

function checkBehavior(playerStats) {
  if (playerStats.headshotRate > thresholds.humanMax
      && playerStats.reactionTimeMs < thresholds.humanMin) {
    flagCheat("behavioral_anomaly");
  }
}

The first function represents the kind of deterministic check that EA Javelin and Riot Vanguard both rely on at their core: something changed that should not have changed. The second represents the probabilistic, pattern-based check that Anybrain adds for Embark: nothing necessarily “changed” in a memory sense, but the player’s statistical behavior does not look human. Running both at once, as ARC Raiders now does, is more expensive computationally and organizationally, but it catches a wider range of cheat types, including cheats that manipulate input at the hardware level rather than tampering with the game’s memory directly.

There is also a false-positive cost that differs meaningfully between the two models. A deterministic integrity check like Javelin’s tends to be binary and explainable: either the memory map matches the expected baseline or it does not, which makes an appeal process relatively straightforward to adjudicate. A behavioral model like Anybrain’s is inherently probabilistic, flagging a player because their statistics fall outside a normal human range, which means a small number of unusually skilled or unusually consistent human players can, in principle, trip the same alarms as an actual cheat. That is not a flaw unique to Anybrain; every behavioral anti-cheat system on the market wrestles with the same tension between catching more cheats and avoiding false accusations against legitimate high performers.

Real-World Deployments: Five Anti-Cheat Rollouts Worth Studying

ARC Raiders’ October 2026 policy overhaul. Embark’s decision to permanently ban confirmed first-time cheaters, rather than issuing a warning, marked one of the most aggressive public enforcement shifts of the year. Paired with a lowered hardware-ban threshold, the studio signaled it would rather risk over-enforcement against false positives than let repeat cheaters cycle through warning systems. For an extraction shooter where a single successful raid can net a player hours of accumulated loot, a cheater who only loses the run after multiple warnings can still do real economic damage to honest players in the meantime, which is the core argument Embark appears to be making with its harder first-offense line.

THE FINALS as an Elytra testbed. Embark is deliberately staging its newest in-house detection system, Elytra, inside a smaller live title before bringing it to its flagship extraction shooter. That staged-rollout pattern lets the studio tune false-positive rates against a more controlled player base first, reducing the risk that a detection bug bans legitimate ARC Raiders players once Elytra eventually goes live there. It is a sensible engineering discipline: ship the riskiest new detection logic to the title with lower financial and reputational stakes before promoting it to the flagship game.

EA’s 21-title Javelin footprint. Covering 21 games under a single in-house system, with 10.8 billion monitored sessions and 26.7 million blocked cheat attempts, makes Javelin one of the largest-scale anti-cheat deployments in the industry by sheer session volume, spanning everything from EA’s sports titles to its shooters. That breadth is itself a competitive advantage: a detection pattern discovered in one EA title can, in principle, inform Javelin’s baseline across every other title it protects, giving EA a data-sharing effect that a single-game studio cannot replicate.

Vanguard On-Demand on Valorant. Riot’s June 2026 shift away from boot-time loading directly answered years of player complaints about a kernel driver running at all times, without abandoning the kernel-level enforcement model that makes Valorant’s competitive integrity possible. The change did not weaken Vanguard’s detection power, it simply changed when that power is present on a player’s machine, a distinction that mattered enormously to the portion of Valorant’s player base that had spent years asking Riot for exactly this kind of concession.

NVIDIA RTX Spark’s anti-cheat compatibility matrix. NVIDIA’s own launch materials for RTX Spark list which anti-cheat systems are confirmed to work on the new handheld platform: BattlEye, EA Javelin (pending, expected early 2027), Easy Anti-Cheat, RICOCHET, Vanguard, and Tencent Anti-Cheat Expert. That a GPU maker now has to publish an anti-cheat compatibility list at all shows how central this problem has become to hardware launches, not just game launches. A handheld buyer in 2026 increasingly has to check an anti-cheat compatibility list the same way they would check a graphics card’s VRAM before buying, because the wrong anti-cheat gap can mean an entire multiplayer title is simply unplayable on day one.

Expert Voices: How EA, Riot and Denuvo Describe Their Own Systems

It is worth hearing how the people building these systems frame their own design choices, since the public-facing marketing rarely captures the engineering trade-offs as precisely as the people who ship the code.

Mike Reavey, EA’s CISO and SVP of Security Engineering, put Javelin’s gating design in blunt terms: “The game won’t start unless Javelin is running, and when Javelin is running, it’s watching the game and the processes around the game, the memory, and all the things that the computer loads.” On the detection logic specifically, he added: “And it says, ‘Did any of this change from what we expected it to be?’ Because if it changed, then it’s probably a cheat.” Both quotes come from his interview with IT Brew, and together they describe a model built entirely around deviation from an expected baseline.

Riot’s Phillip Koskinas, Director and Head of Anti-Cheat, described Vanguard’s philosophy around visibility rather than pure prevention, saying the system essentially “forces cheats to be visible.” Paul Chamberlain, Riot’s Security and Anti-Cheat Lead, framed the business impact in terms of cost imposed on cheat developers: “Vanguard has made it easier for us to fight cheats in two ways: first, the protection mechanisms in Vanguard make it more difficult and time-consuming to create cheats.” That is a notably different success metric than EA’s session-count and block-count figures; Riot is measuring success partly by how much harder and slower it becomes to build a working cheat in the first place.

Denuvo’s Andreas Ullmann, the company’s product manager, drew the clearest line between Denuvo’s two product lines when he said: “The core is the same, but the function of what they do is different,” distinguishing Denuvo Anti-Tamper (DRM against piracy) from Denuvo Anti-Cheat (runtime integrity for multiplayer fairness). That distinction matters for studios evaluating Denuvo, since the anti-piracy reputation the brand built over a decade is not automatically the same product Embark is using in ARC Raiders.

Use-Case Recommendations: Which Anti-Cheat Fits Which Studio

Large publishers with dedicated security engineering teams. If a studio has the headcount and multi-year budget EA and Riot have, building and owning an in-house system like Javelin or Vanguard pays off over time because there is no external licensing renewal risk and detection logic never has to be shared with a third party. The tradeoff is a long upfront investment: EA has been iterating on Javelin’s coverage for well over a year to reach 21 titles, and that kind of timeline is simply not available to a studio shipping its first live-service game next quarter.

Mid-size studios shipping a competitive live-service title. Embark’s approach, licensing Denuvo’s kernel component and Anybrain’s behavioral layer rather than building from zero, is the more realistic path for a studio that needs enterprise-grade protection on a launch timeline measured in months, not years. This path also scales down more gracefully: a smaller studio can start with just the kernel component and add a behavioral layer like Anybrain later, once the player base and cheat-threat profile justify the added integration cost.

Studios targeting handheld and ARM-based hardware first. Given that Vanguard already appears on NVIDIA’s RTX Spark compatibility list while Javelin support is not expected until early 2027, any studio prioritizing handheld launch-day compatibility should weigh that roadmap gap heavily before committing to a vendor. A studio planning a Steam Deck or RTX Spark launch window should ask any anti-cheat vendor directly for a dated ARM64 and handheld compatibility commitment rather than assuming parity with the PC build.

Competitive esports titles with strict fairness requirements. Vanguard’s cost-imposition philosophy, making cheats harder and slower to build in the first place, fits titles like Valorant where tournament integrity depends on cheat-development costs staying high enough to deter casual cheat developers. Esports titles also tend to have the most engaged, most vocal player base watching every enforcement decision, which rewards a system built around transparency of method over secrecy of method.

Extraction shooters and high-stakes loot-based games. ARC Raiders’ layered Denuvo-plus-Anybrain-plus-in-house-ML stack, combined with its aggressive October 2026 permanent-ban policy, reflects the reality that loot-driven games attract cheaters motivated by in-game economic gain, not just competitive ego, which argues for layering behavioral detection on top of kernel enforcement. When real player-earned loot is on the line, a false negative (a cheater who gets away with it) costs other players tangible progress, not just a frustrating match.

Studios worried about privacy-conscious player backlash. Riot’s On-Demand shift shows there is a middle path between “no kernel driver at all” and “kernel driver running at all times”: load the privileged component only when it is actually needed, and unload it the rest of the time. Any studio that has fielded complaints about an always-on kernel driver now has a concrete, shipped example to point to internally when arguing for the same kind of redesign.

Publishers managing a multi-genre portfolio under one anti-cheat budget. EA’s single-system, 21-title approach shows the efficiency case for consolidating anti-cheat spend under one in-house platform rather than licensing separate middleware per title or per genre, provided the publisher’s catalog is large enough to amortize the upfront engineering cost across that many games.

Migration Guide: Evaluating or Switching Anti-Cheat Vendors

Studios rarely rip out an anti-cheat system overnight, since doing so risks a window where cheat detection drops across an entire live player base. Here is a practical sequence for evaluating a move toward a Javelin-style in-house model, a Denuvo-plus-behavioral-layer model, or an On-Demand kernel model.

Audit your current cheat telemetry for at least one full reporting quarter before changing anything, so you have a real baseline to compare against post-migration.
Decide whether your studio can realistically staff an in-house security engineering team comparable to EA’s or Riot’s, since that is the single biggest factor separating an owned system from a licensed one.
If licensing a third-party kernel driver like Denuvo, confirm separately whether you also need a behavioral detection layer like Anybrain, since kernel integrity checks and behavioral pattern analysis catch different cheat categories.
Test kernel driver load timing against your target platforms early, especially handhelds and ARM-based devices, given the compatibility gaps visible in NVIDIA’s RTX Spark launch materials.
Run a closed beta with the new anti-cheat stack active alongside (not instead of) the old one, so you can compare detection and false-positive rates directly before fully cutting over.
Define your ban escalation policy before launch, not after: Embark’s October 2026 shift to permanent first-offense bans shows how quickly enforcement philosophy can change once real abuse data comes in.
Build a hardware-ban appeals process regardless of which vendor you choose, since false positives at the hardware level are far costlier to a player than a temporary account suspension.
Reassess the migration after one full season or patch cycle, since cheat developers typically need that long to build and distribute working exploits against a new detection system.

Treat this as a staged rollout rather than a single cutover event. Embark’s own approach, testing Elytra in THE FINALS before bringing it to ARC Raiders, is effectively this migration guide in practice: validate a new detection layer in a lower-stakes title first, then promote it once the false-positive rate is understood.

Pros and Cons of Each Anti-Cheat System

System	Pros	Cons
EA Javelin Anticheat	Proven at massive scale (10.8B sessions); gating design blocks launch if compromised; continuous ARM64 and platform investment	Not licensed outside EA; RTX Spark compatibility not expected until early 2027; always-on kernel presence during play
Denuvo Anti-Cheat + Anybrain	Layered kernel plus behavioral detection catches more cheat types; faster to deploy than building in-house; commercially available to any studio	Relies on two external vendors plus in-house ML, adding integration complexity; licensing costs not public, harder to budget
Riot Vanguard On-Demand	Kernel driver no longer resident at all times, easing privacy concerns; already on RTX Spark’s launch compatibility list; strong cost-imposition track record against cheat developers	In-house only, not available to license; historically aggressive hardware bans raised false-positive concerns in the past

Reading across that table, the honest conclusion is that each system’s biggest weakness is the mirror image of its biggest strength. Javelin’s gating design is exactly what makes it reliable at scale, and exactly what gives players zero control over when the kernel component is present. Vanguard On-Demand’s reduced footprint is exactly what makes it more privacy-friendly, and historically aggressive hardware bans are exactly what makes Riot’s enforcement feel heavy-handed to players who get flagged incorrectly. The Denuvo-plus-Anybrain stack’s layered coverage is exactly what makes it harder for cheats to slip through undetected, and exactly what makes it the most operationally complex of the three to integrate and maintain.

Privacy, Ring-0 Access and the Kernel Driver Debate

Every system compared here ultimately asks players to trust a piece of software running with kernel-level privileges, the same privilege tier as the operating system itself. That is not a small ask. A ring-0 driver can, in principle, read or interfere with anything else running on the machine, which is exactly why Riot’s shift to Vanguard On-Demand resonated with players who had spent years uneasy about a kernel driver loading automatically at every Windows boot regardless of whether a Riot game was even open.

EA’s Javelin takes the opposite stance on timing but a similarly firm stance on necessity: the game will not start without it. That design removes any ambiguity about whether the integrity check is active, since there is no way to play without it running, but it also means players get zero control over when that kernel-level component is present on their system during a play session.

Embark’s layered approach sidesteps part of this debate by adding a behavioral layer that does not require kernel access at all; Anybrain’s AI detection analyzes gameplay statistics and input patterns rather than reading raw memory. That means part of ARC Raiders’ cheat detection can happen without expanding kernel-level attack surface, even though the Denuvo component underneath still operates at that privilege tier. Expect more studios to explore this hybrid split, kernel-level checks for the hardest cheats, behavioral analysis for everything else, as privacy scrutiny of anti-cheat software continues to grow among both players and regulators.

None of the three vendors in this comparison has published an independent third-party security audit of its kernel driver specifically for this reporting period, which is a gap worth flagging for any studio doing vendor due diligence. A kernel driver is, functionally, a piece of software a studio is asking millions of players to trust with system-level access, and the absence of a public audit trail means studios and players alike are largely relying on each vendor’s own track record and public statements rather than independently verified security claims. That is not unique to gaming; it mirrors a broader pattern across the kernel-level anti-cheat industry where audit transparency still lags well behind the privilege level these drivers operate at.

Hardware Bans, ARM64 Support and the Road to 2027

Hardware bans are the nuclear option in anti-cheat enforcement: rather than banning an account, which a determined cheater can simply recreate, a hardware ban targets identifiers tied to the physical machine itself. Embark’s decision to lower its hardware-ban threshold and expand coverage to nearly every system detected running cheat software marks one of the most aggressive hardware-ban postures of any major 2026 title. It is also a policy with real collateral-damage risk: hardware identifiers can occasionally be spoofed or shared across household devices, so an overly broad hardware-ban policy risks catching innocent players alongside cheaters.

EA’s planned native ARM64 support for Javelin points toward a parallel 2027 priority: platform expansion rather than just enforcement escalation. ARM64 support is a prerequisite for Javelin-protected titles to run natively on the growing wave of ARM-based Windows handhelds and laptops, rather than relying on compatibility layers that can both hurt performance and complicate anti-cheat reliability. Expect 2027 to be the year several major anti-cheat vendors either announce or ship ARM64-native builds, since the handheld gaming category is no longer a niche experiment.

How Players Can Tell Which Anti-Cheat Protects a Game

For players deciding whether to install a new multiplayer title, the anti-cheat system behind it is usually disclosed somewhere in the storefront listing, the installer’s first-run prompt, or the publisher’s own support pages, since most jurisdictions now expect some disclosure that a kernel-level driver is being installed alongside the game. On Windows specifically, a quick way to confirm which anti-cheat system is active is checking the installed services list after launching a title, since Javelin, Vanguard and Denuvo’s kernel component each register distinct driver names that remain visible to standard system tools.

Players who are specifically concerned about a kernel driver’s footprint when they are not playing should look for language like Riot’s “On-Demand” branding, which is the clearest public signal that a driver unloads when the associated game is closed rather than staying resident at all times. EA has not announced an equivalent on-demand model for Javelin as of this comparison, meaning the driver’s lifecycle still follows the traditional always-required-to-play pattern. None of this is a reason to avoid any of the three systems outright, since all three protect against real and common cheating methods, but informed players increasingly treat anti-cheat architecture as a legitimate factor in deciding which multiplayer titles to install, alongside more traditional considerations like system requirements and server stability.

NVIDIA RTX Spark and the Anti-Cheat Compatibility Race

NVIDIA’s RTX Spark launch materials quietly turned into one of the clearest public rankings of anti-cheat readiness available anywhere. By listing which systems are confirmed to work with the new handheld platform, BattlEye, EA Javelin, Easy Anti-Cheat, RICOCHET, Vanguard, and Tencent Anti-Cheat Expert, NVIDIA effectively published a readiness scoreboard that EA, Riot and every other anti-cheat vendor now has to answer to.

Being named on that list with Javelin support expected only in early 2027 is a meaningful competitive disadvantage for EA in the handheld segment specifically. Any EA title that depends on Javelin for multiplayer integrity may simply be unavailable, or available only in single-player mode, on RTX Spark hardware until that support ships. Vanguard’s presence on the list at launch gives Riot titles an immediate head start in that same hardware category, reinforcing how much platform-compatibility timing has become its own competitive axis in anti-cheat, separate from raw detection accuracy.

The Real Cost of Cheating to Studios and Players

It is easy to treat anti-cheat as a purely technical story, but the numbers EA disclosed make the business case explicit. Blocking 26.7 million cheat attempts across 10.8 billion sessions means roughly one in every 400 monitored sessions involved a cheat attempt EA’s own systems caught, and that figure only counts attempts Javelin actually detected; it says nothing about cheats that slipped through undetected in the same period. Every one of those blocked attempts represents a session where, absent Javelin, a paying customer could have faced an opponent running software designed to guarantee a win. Multiply that across a live-service game’s entire lifecycle and the retention math becomes obvious: players who repeatedly lose to cheaters stop paying for cosmetics, stop renewing battle passes, and eventually stop playing altogether.

For Embark specifically, the stakes are sharper because ARC Raiders is an extraction shooter where loot persistence is the core loop. A cheater who wallhacks their way to a rival’s stash is not just winning a match, they are directly converting another player’s time investment into their own in-game wealth. That is almost certainly why Embark chose to tighten its first-offense ban policy in October 2026 rather than waiting for a repeat-offense pattern to build up, as earlier industry norms assumed was the safer, more forgiving default. The cost of being wrong about a first-time ban is real, since legitimate players can trigger false positives, but Embark’s public stance suggests it judged the cost of under-enforcement in a loot-based economy to be higher than the cost of occasional over-enforcement.

The Verdict: Which Anti-Cheat Approach Wins in 2026

There is no single winner across every metric, and that is itself the most useful takeaway. On raw disclosed scale, EA Javelin leads clearly, with 10.8 billion monitored sessions and 26.7 million blocked cheat attempts across 21 titles, figures no other vendor in this comparison has matched publicly. On platform readiness heading into 2027, Riot Vanguard currently leads, already confirmed for NVIDIA’s RTX Spark at launch while Javelin support waits until early 2027. On enforcement aggressiveness, Embark’s Denuvo-plus-Anybrain stack for ARC Raiders is the clear leader following its October 2026 shift to permanent first-offense bans and expanded hardware-ban coverage.

For a studio choosing today, the honest recommendation splits by priority. Pick an EA Javelin-style owned, gating model if your studio has the scale and security budget to build and maintain it, and session-volume proof points matter to your stakeholders. Pick a Denuvo-plus-behavioral-layer model like Embark’s if speed to a strong, layered defense matters more than owning every line of detection code. Pick a Vanguard On-Demand-style model if minimizing kernel-driver footprint when players are not in-game, and handheld platform readiness, are the deciding factors for your audience. The clearest overall trend across all three: 2026 was the year anti-cheat stopped being a single background process and became a layered, multi-vendor, platform-aware discipline in its own right.

Frequently Asked Questions

Is EA Javelin Anticheat available for non-EA games?
No. Javelin is an in-house system built and operated exclusively for EA’s own published titles; it is not licensed to outside studios, and EA has not signaled any plan to change that as of this comparison’s October 2026 reporting.

What is the difference between Denuvo Anti-Cheat and Denuvo Anti-Tamper?
They share underlying engineering, but Denuvo Anti-Tamper is an anti-piracy DRM product while Denuvo Anti-Cheat targets runtime integrity for multiplayer fairness, a distinction Denuvo’s own product manager has drawn publicly. A game can use either, both, or neither, so the presence of one does not imply the other is also active.

Does Riot Vanguard still run at all times on Windows?
No, as of the June 24, 2026 Vanguard On-Demand update, the kernel driver loads only when a Riot game is actually launched, rather than at every Windows boot as in the previous model. Closing the game unloads the driver again, so it is not resident during ordinary Windows use.

Can ARC Raiders cheaters get banned on their first offense?
Yes. As of the October 2026 policy overhaul, confirmed first-time cheaters in ARC Raiders can receive a permanent ban without the warning period that was previously standard, and Embark has also lowered the threshold required to trigger a hardware ban alongside the account ban.

Will EA Javelin-protected games work on NVIDIA’s RTX Spark handheld?
Not immediately. NVIDIA’s own RTX Spark launch materials list EA Javelin compatibility as expected in early 2027, later than BattlEye, Easy Anti-Cheat, RICOCHET, Vanguard and Tencent Anti-Cheat Expert, all of which are listed as supported at launch. Players intending to use RTX Spark primarily for EA multiplayer titles should check for an updated compatibility announcement before buying.

What is Anybrain and how does it relate to Denuvo?
Anybrain is a separate behavioral-detection vendor that Embark Studios runs alongside Denuvo’s kernel-level anti-cheat driver in ARC Raiders, adding AI-based pattern analysis on top of Denuvo’s integrity checks rather than replacing them. The two layers are complementary: Denuvo watches for tampering at the process and memory level, while Anybrain watches for statistically inhuman play patterns regardless of how the cheat was implemented.

Is a kernel-level anti-cheat driver a security risk by itself?
Any software running at kernel privilege expands a system’s attack surface in principle, which is why vendors like Riot have moved toward reducing how long that driver stays resident, as seen in the Vanguard On-Demand redesign, while EA’s Javelin instead makes the driver mandatory for the entire play session. Neither approach has been shown to carry a demonstrated real-world exploit record at the scale of their respective player bases as of this comparison’s publication.

Can a studio use more than one anti-cheat system in the same game?
Yes. Embark’s ARC Raiders is the clearest example in this comparison, combining Denuvo’s kernel driver, Anybrain’s behavioral AI, and an in-house machine-learning layer simultaneously, with Elytra being tested in THE FINALS as a potential future addition.