Security operations centers spent 2025 experimenting with AI copilots. By September 2026, the experiment is over and a new product category has hardened: the AI SOC analyst platform, software that does not just summarize an alert but plans an investigation, queries the SIEM and EDR itself, and returns a verdict with cited evidence. Three vendors dominate the conversation right now for very different reasons. Prophet Security just published a Q3 2026 threat report built from 4.7 million autonomous investigation questions. Dropzone AI has the deepest public case-study library in the category, with named customers like UiPath and Zapier reporting double-digit percentage cuts in false positives. And Radiant Security, the pioneer of “triage 100% of alerts” messaging, no longer exists as an independent company after Cribl acquired its technology assets on August 19, 2026.
That timing matters. Anyone searching for Radiant Security today is really asking two questions: what happens to the product they evaluated, and which of the two survivors, Prophet or Dropzone, is the better replacement. This comparison answers both, using published pricing, integration counts, customer outcomes, and the analyst commentary that has emerged as Gartner starts tracking the category formally.
What is an AI SOC analyst platform, and why it replaced SOAR playbooks
Traditional security orchestration, automation, and response (SOAR) tools run fixed playbooks: if alert type X fires, execute steps A, B, and C. That model breaks the moment an API changes or an attacker deviates from the expected pattern, which is most of the time. An AI SOC analyst platform instead uses a large language model as a planning engine. It reads the alert, decides what evidence it needs, pulls that evidence from the SIEM, EDR, identity provider, and cloud logs through read-only API access, and reasons toward a verdict the way a human tier-1 or tier-2 analyst would, but in minutes instead of hours.
Gartner’s 2025 Hype Cycle for Security Operations placed AI SOC agents at the Innovation Trigger stage, with an estimated 1-5% market adoption, according to Help Net Security’s March 2026 analysis of AI SOC vendor claims. Early stage does not mean small stakes. Industry research trackers estimate autonomous SOC platforms accounted for roughly 64% of total autonomous SOC market revenue in 2025, ahead of point-automation tools and augmentation layers, because platforms that own the full investigation lifecycle capture more budget than tools that only handle one slice of it.
The category has also started splitting into two architectures. Investigation-first systems, the approach Prophet Security and Dropzone AI both use, autonomously analyze every alert that arrives and produce an evidence-backed determination. Automation-first tools still lean on human analysts for the reasoning step and use AI mainly to speed up data-gathering. That distinction is the single most useful lens for evaluating any AI SOC vendor pitch in late 2026, because vendors from both camps now use nearly identical marketing language.
The three platforms at a glance
Prophet Security, founded in Palo Alto and backed by a $30 million Series A in July 2025, markets a three-agent system: an AI SOC Analyst for investigation, an AI Threat Hunter for proactive detection, and an AI Detection Engineer that maps MITRE ATT&CK coverage and authors new detection rules. Dropzone AI, backed by a $37 million Series B closed in July 2025, positions itself more narrowly as a frontline AI SOC analyst with the deepest published integration list in the category, 90-plus connectors according to its own integrations page. Radiant Security built its reputation on a “100% of alerts, any source, machine speed” pitch and won Best SOC Automation Solution at The Hacker News’ Cybersecurity Stars Awards 2026, but its independent existence ended when Cribl bought its underlying technology and IP in August 2026 to build into its telemetry data platform.
| Attribute | Prophet Security | Dropzone AI | Radiant Security (now Cribl) |
|---|---|---|---|
| HQ | Palo Alto, California | Seattle, Washington | San Francisco, California |
| Total funding | $30M Series A (Jul 2025) + strategic capital from Amex Ventures, Citi Ventures (Feb 2026) | $37M Series B (Jul 2025) | ~$25M total, including $15M Series A (Nov 2023), led by Next47 |
| Core product structure | 3-agent system: AI SOC Analyst, AI Threat Hunter, AI Detection Engineer | Single frontline AI SOC analyst plus AI Threat Hunter add-on (launched Mar 2026) | Adaptive AI SOC platform bundled with log management |
| Published integrations | Not publicly listed by name; covers SIEM, EDR, identity, cloud, email security, DLP, threat intel | 90+ named tools across 14 categories (Splunk, Sentinel, QRadar, CrowdStrike, Defender, SentinelOne, Okta, Entra ID, AWS, Azure, GCP, Wiz) | Vendor-agnostic ingestion; no public named integration list |
| Pricing model | Investigation-volume, quote-based ($50,000 per 5,000 investigations/year on AWS Marketplace) | Investigation-volume, was public at $36,000/year for 4,000 investigations, now quote-based Base/Enterprise/MSSP tiers | Seat- and use-case-based flat annual fee, quote-only, no free tier |
| Estimated entry price | ~$50,000/year | ~$36,000/year (historical, now sales-quoted) | $60,000-$100,000/year (small team estimate) |
| Headline benchmark claim | 10x reduction in mean time to resolution; 5x increase in SOC efficiency (customer page) | 85% cut in manual investigation work; 95% cut in threat-hunting investigation time | 100% of alerts from any source triaged at machine speed |
| Named customers | Enterprises in high tech, financial services, healthcare (unnamed in public materials) | UiPath, Zapier, Mysten Labs, Indiana Farm Bureau Insurance, Assala Energy, ECS (MSSP) | Not publicly disclosed |
| Q3 2026 data disclosure | Published quarterly threat report: 4.7M questions asked, median 35 questions/investigation, ~5 min median time to determination | No published quarterly aggregate report as of Sep 2026 | No longer publishing independently after Cribl acquisition |
| PeerSpot AI-SOC top-5 ranking (Aug 2026) | Yes, ranked 5th | Yes, ranked 4th | Not listed (Torq, Anvilogic, Purple AI led the list) |
| Recognition | “Rising in Cyber 2026” list | Central case-study library cited across multiple third-party buyer guides | Best SOC Automation Solution, Hacker News Cybersecurity Stars Awards 2026 |
| Company status, Sep 2026 | Independent, actively selling | Independent, actively selling | Acquired by Cribl (technology/IP only), Aug 19, 2026 |
Pricing breakdown: what an AI SOC analyst actually costs
All three vendors converged on the same billing logic: pay per investigation capacity, not per seat or per gigabyte ingested. That is a deliberate break from SIEM pricing, where data volume drives cost and unpredictably spikes budgets. An AI SOC analyst instead sells a fixed number of investigations per year, roughly equivalent to what one human tier-1 analyst produces annually, and lets unlimited internal users view reports and tune behavior.
| Vendor | Entry tier | Investigations included | Per-investigation cost (approx.) | Overage / scaling |
|---|---|---|---|---|
| Prophet Security | $50,000/year (AWS Marketplace listing) | 5,000/year | ~$10 | $10 per extra investigation unit |
| Dropzone AI | Historically $36,000/year, now sales-quoted Base tier | 4,000/year | ~$9 | Moved to quote-based Base, Enterprise, and MSSP tiers after its 2025 Series B |
| Radiant Security (pre-acquisition) | $60,000-$100,000/year (small team estimate) | Unlimited alert volume, seat/use-case based | Not disclosed publicly | Enterprise tier estimated $150,000-$300,000+/year; three-year TCO estimated $435,000-$779,000 with add-ons |
The trend line matters more than the exact numbers. Dropzone’s publicly listed price climbed from roughly $24,000 in 2024 to $36,000 by 2025, and by 2026 the company pulled the number off its website entirely in favor of sales-quoted tiers, a common move once a vendor has enough enterprise pull to negotiate case-by-case. Buyers evaluating either Prophet or Dropzone today should expect to request a quote rather than self-serve checkout, regardless of what older articles or cached pricing pages suggest.
Benchmarks: what the vendors actually measured
Benchmark claims in this category come almost entirely from vendor-published case studies rather than independent third-party lab testing, so read every number as a best-case customer result, not a guaranteed outcome. That caveat matters because the numbers are dramatic. Dropzone’s case-study hub lists a series of named outcomes: UiPath cut false positives 86% and saved more than 700 analyst hours after extending its existing agentic SOC with Dropzone; Zapier cut manual alert investigation by 85%; Indiana Farm Bureau Insurance reported a 75% reduction in manual investigative work alongside five-times-faster detection and response; Assala Energy reported 100% alert investigation coverage with a 70% cut in false positives; and an MSSP customer, ECS, automated 70% of alerts while scaling to more than 30,000 monthly alerts without adding headcount.
Prophet’s public benchmark language centers on a 10x reduction in mean time to resolution and a 5x increase in SOC efficiency, cited on its customer page, plus the Q3 2026 threat report figures: 4.7 million questions asked across the quarter, a median of 35 questions per investigation, and a median time to determination just over five minutes. That same report found that of investigations reaching a determination, 93% were benign and 7% were malicious, and that identity-related activity, credential phishing and direct account or session attacks, accounted for roughly half of all confirmed malicious cases, a data point that lines up with wider industry reporting on infostealer and session-hijacking growth in 2026, and one more reason SOC teams are pairing AI triage with phishing-resistant MFA at the identity layer rather than relying on detection alone.
Radiant’s headline claim before the Cribl acquisition was blunter: 100% of alerts from any source, triaged and investigated at machine speed, with verdicts sorted into Recommended Benign, Likely Benign, or Recommended Malicious. A broader industry analysis from D3 Security frames the category-wide range as a 60-95% reduction in analyst toil compared with legacy SOAR, which is roughly consistent with what all three vendors report individually. Independent lab benchmarks comparable to MITRE ATT&CK evaluations for EDR do not yet exist for AI SOC platforms, which is the biggest gap security buyers should push vendors to close in 2027 procurement cycles.
Integrations and vendor lock-in
Integration breadth decides how fast a platform gets to production value, since an AI SOC analyst is only as good as the data sources it can query. Dropzone publishes the most detailed list of any of the three: more than 90 tools across 14 categories, spanning SIEM (Splunk, Microsoft Sentinel, Google Security Operations, IBM QRadar), endpoint and EDR (CrowdStrike, Microsoft Defender, SentinelOne), cloud (AWS, Azure, Google Cloud, Wiz), identity (Okta, Microsoft Entra ID), and threat intelligence feeds like VirusTotal and AbuseIPDB. The company markets this as “no data migration, no log normalization, and no custom connectors to build,” connecting through native APIs the same way a human analyst would click through a console.
Prophet describes similarly broad coverage, SIEMs, EDRs, identity providers, cloud platforms, email security, network security, DLP, threat intel, and case management, but does not publish a named connector list with the same granularity, according to Help Net Security’s product showcase from June 2026. The company frames this as vendor-neutral architecture, working across a full security stack rather than being locked to one telemetry source.
Radiant’s approach, now folded into Cribl, was explicitly vendor-agnostic, ingesting alerts from whatever tooling an organization already ran. The practical implication of the Cribl deal is that Radiant’s autonomous triage logic will likely run as an application layered on top of Cribl’s telemetry pipeline rather than as a standalone connector hub, which changes the integration story for any customer who evaluated Radiant as an independent product before August 2026.
Total cost of ownership: a three-year projection
Annual list price only tells part of the story. Security teams budgeting for an AI SOC analyst need to account for investigation-capacity growth, since alert volume rarely stays flat once an organization adds cloud accounts, SaaS tools, or headcount. Using the published entry pricing above and a conservative 25% year-over-year growth in investigation volume, a mid-market security team’s three-year cost looks meaningfully different across the three platforms.
| Vendor | Year 1 | Year 2 (est.) | Year 3 (est.) | 3-year total |
|---|---|---|---|---|
| Prophet Security | $50,000 | ~$62,500 | ~$78,000 | ~$190,500 |
| Dropzone AI | $36,000 | ~$45,000 | ~$56,000 | ~$137,000 |
| Radiant Security (pre-acquisition, mid-market estimate) | $100,000 | ~$130,000 | ~$170,000 | ~$400,000-$435,000 (matches UnderDefense’s independently modeled range) |
The gap widens because Radiant priced on unlimited alert volume plus bundled log management rather than a fixed investigation count, which is more predictable for teams with unpredictable spikes but more expensive in steady-state operation. For teams that already know their annual alert volume within a reasonable margin, Dropzone’s investigation-based model produces the lowest three-year total of the three, assuming the 2026 quote-based tiers track close to the historical public pricing UnderDefense documented before the transparency shift.
Build versus buy: why almost nobody builds this in-house
Every security engineering team capable of writing Python has, at some point, considered wiring a large language model directly to their SIEM API and skipping the vendor entirely. In practice almost none do it at production scale, and the reasons show up consistently across the case studies referenced above. First, an AI SOC analyst platform is not just a prompt template, it is a planning loop that decides which of dozens of possible API calls to make next based on what the previous call returned, then evaluates whether it has enough evidence to reach a verdict. Replicating that reliably, across SIEM, EDR, identity, and cloud telemetry with different schemas and rate limits, is a multi-engineer, multi-quarter project before it produces a single trustworthy verdict.
Second, the case-study evidence cited by Dropzone’s named customers, UiPath, Zapier, Mysten Labs, Indiana Farm Bureau Insurance, Assala Energy, and ECS, spans companies that already run sophisticated internal engineering and security functions and still chose to buy rather than build. UiPath specifically layered Dropzone on top of an internal agentic SOC it had already built, which is the more common pattern: build the orchestration and data plumbing internally, then buy the investigation reasoning engine, since that is the part hardest to get right and riskiest to leave half-finished in a live security environment.
Analyst and practitioner sentiment on the AI SOC category
Buyer-review data adds a useful counterweight to vendor marketing. PeerSpot’s Best AI-SOC solutions ranking for August 2026 places Torq, Anvilogic, and Purple AI ahead of both Dropzone AI and Prophet Security in raw user ranking, with Dropzone in fourth and Prophet in fifth, a reminder that the point-solution AI SOC analysts profiled in this comparison are competing in a wider field that includes platform-bundled and automation-first entrants. Neither Prophet nor Dropzone topped that particular list, but both cracked the top five among a field the ranking describes as spanning the full breadth of AI-driven SOC automation.
Industry commentary tracked through 2026 repeats a consistent warning: buyers are asking harder questions about governance, explainability, and real autonomy versus marketing claims, rather than taking vendor throughput numbers at face value. That skepticism is precisely why Prophet’s decision to publish a public quarterly threat report, rather than only curated customer success stories, stands out as a differentiator worth weighing heavily in a 2026 procurement process. It is independently checkable in a way that a single customer testimonial is not.
Real-world deployments: five examples that show how this plays out
UiPath, global automation software. UiPath already ran an internal agentic SOC and layered Dropzone AI on top as a frontline analyst. The result, according to Dropzone’s published case study, was an 86% cut in false positives and more than 700 analyst hours saved, freeing the security team to focus on higher-severity investigations instead of triage noise.
Zapier, SaaS automation. Zapier used Dropzone to cut manual alert investigation by 85%, which the company frames as letting its security function scale alongside product growth without adding headcount or outsourcing to a third-party MSSP.
Indiana Farm Bureau Insurance, regulated insurance. A more traditional, compliance-heavy industry reported a 75% reduction in manual investigative work and five-times-faster detection and response after deploying Dropzone, suggesting the model holds up outside of tech-native customers.
ECS, a managed security service provider. As an MSSP reselling detection and response to multiple end clients, ECS automated 70% of alerts and scaled to more than 30,000 monthly alerts without adding analyst headcount, a case study that speaks directly to MSSPs evaluating whether an AI SOC analyst can replace tier-1 hiring.
Enterprise customers in high tech, financial services, and healthcare (Prophet Security). Prophet’s public customer page cites unnamed enterprise deployments reporting a 5x increase in SOC efficiency, spanning the three industries the company names in its early-access materials, high tech, financial services, and healthcare, sectors where alert volume and compliance overhead both run high.
The Cribl-Radiant acquisition, and what it means if you already bought Radiant
Cribl announced on August 19, 2026 that it had acquired technology assets from Radiant Security’s AI-native SOC product, specifically the intellectual property behind software that autonomously triages, investigates, and resolves security alerts, according to SiliconANGLE’s coverage of the deal. This was Cribl’s second security-related acquisition of 2026, part of a broader push to move beyond telemetry pipeline management into active security operations. Cribl has said it plans to adapt Radiant’s technology to run as an application on its own telemetry data platform, with further platform announcements expected at CriblCon on September 28, 2026.
For any organization that signed a contract with Radiant Security before the acquisition, the practical question is continuity: will the product they evaluated keep operating standalone, or will it be absorbed entirely into Cribl’s platform roadmap. Acquisitions of this type, buying technology assets and IP rather than the whole company, typically signal that the standalone product will be sunset over a transition period while the underlying capability gets rebuilt inside the acquirer’s stack. Security teams currently running Radiant should treat this as a trigger to formally evaluate Prophet Security and Dropzone AI as migration targets rather than waiting for Cribl’s roadmap to clarify.
How the category stacks up against traditional SOAR and XSIAM
None of these three vendors compete in a vacuum. Palo Alto Networks has folded its XSOAR orchestration engine into Cortex XSIAM, an attempt to converge SIEM, XDR, SOAR, and attack surface management into one autonomous SOC platform with AI-driven analytics baked in. Torq’s HyperSOC, powered by an autonomous agent called Socrates, claims to close more than 90% of cases without human intervention, positioning itself as a direct alternative to point AI SOC analyst vendors for teams that want the automation layered onto an existing SOAR investment rather than bought as a separate product.
The practical distinction security leaders should draw: XSIAM and HyperSOC are platform bets, you adopt a full detection-and-response stack from one vendor. Prophet and Dropzone are point solutions that plug into whatever SIEM and EDR a team already runs, the same logic that makes AI-focused security layers like Lakera, Prisma AIRS, and Cisco AI Defense attractive as add-ons rather than platform replacements. According to Intezer’s roundup of AI SOC tools, this is exactly the trade-off buyers are weighing in 2026, full platform consolidation for simplicity, versus a best-of-breed AI analyst that avoids ripping out an existing SIEM investment.
Use-case recommendations: which platform fits which team
MSSPs scaling tier-1 triage without hiring. Dropzone AI’s MSSP-specific tier and the ECS case study make it the more proven option for managed security providers that need to absorb growing alert volume across multiple client tenants without linear headcount growth.
Enterprises that want full-lifecycle coverage beyond triage. Prophet Security’s three-agent structure, adding a Threat Hunter and a Detection Engineer alongside the core analyst, suits security teams that want proactive hunting and MITRE ATT&CK gap analysis bundled with alert investigation, rather than buying three separate point tools.
Teams with a large, heterogeneous tool stack. Dropzone’s 90-plus named integrations make it the safer pick when a security team runs a mix of legacy and modern tools across SIEM, EDR, cloud, and identity, since the connector list is public and verifiable before signing a contract.
Organizations already invested in Cribl for telemetry pipelines. Anyone already routing logs through Cribl’s data platform should watch the September 28, 2026 CriblCon announcements closely, since Radiant’s absorbed technology may become the lowest-friction AI SOC option specifically because it will not require a separate data pipeline.
Regulated industries needing auditable determinations. Prophet’s emphasis on “audit-ready determinations” with documented reasoning chains, plus its quarterly public threat reporting, gives compliance teams in financial services and healthcare a paper trail that is easier to present to auditors than a black-box automation layer.
Budget-constrained teams testing the category for the first time. Dropzone’s historically transparent pricing, even now that it has moved to quote-based tiers, gives buyers a reference point (roughly $9 per investigation at the entry tier) that makes it easier to negotiate and budget than Radiant’s flat, non-disclosed enterprise fee structure ever was.
Migration guide: moving off Radiant Security or evaluating your first AI SOC analyst
Whether you are migrating away from Radiant post-acquisition or standing up an AI SOC analyst for the first time, the sequence looks the same.
- Inventory your current alert sources. List every SIEM, EDR, identity provider, cloud account, and email security tool that currently feeds your SOC, since this list is what any AI SOC analyst will need read-only API access to.
- Pull twelve months of alert volume data. Both Prophet and Dropzone price on investigations per year, so you need a real number, not an estimate, to avoid buying too little capacity and hitting overage charges immediately.
- Request a proof of value from at least two vendors in parallel. Prophet advertises a free POV that can be configured in about 30 minutes with read-only access to two or three data sources; run the same alert set through a competing vendor to compare verdicts side by side.
- Check the false-positive rate on your own data, not the vendor’s case studies. Ask each vendor to run a live 30-day pilot against your actual alert stream and compare the determinations against what your human analysts would have concluded.
- Verify audit and explainability requirements with your compliance team before signing. If you operate under SOC 2, HIPAA, or similar frameworks (a process typically tracked through platforms like Vanta, Drata, or Secureframe), confirm the AI SOC platform documents its reasoning chain in a format your auditors will accept.
- Negotiate investigation-capacity headroom, not just the base tier. Alert volume tends to grow 20-40% year over year in most enterprise environments, so build overage costs into your first-year budget rather than assuming the entry tier will last.
- Run both platforms in shadow mode against production alerts for at least two full weeks before cutting over. This surfaces integration gaps, missed alert types, and false-negative risk before the new platform becomes your primary triage layer.
- Decommission the old platform’s API access only after a full pay period of parallel operation confirms the new platform is catching everything the old one did.
Pros and cons
Prophet Security
Pros: Full-lifecycle three-agent architecture covers investigation, hunting, and detection engineering in one contract. Publishes quarterly aggregate threat reporting with real usage data, a transparency step neither competitor currently matches. Backed by strategic capital from Amex Ventures and Citi Ventures, which signals staying power with enterprise buyers in regulated industries.
Cons: Does not publish a named integration list, making pre-purchase technical fit harder to verify. Fewer independently documented named-customer case studies than Dropzone. Entry pricing runs higher per investigation than Dropzone’s historical rate.
Dropzone AI
Pros: Deepest public integration list in the category at 90-plus named tools. Strongest published case-study library with named enterprise and MSSP customers and specific percentage outcomes. Historically the most price-transparent vendor, giving buyers a real benchmark even after the move to quote-based tiers.
Cons: Narrower scope than Prophet out of the box, threat hunting is a separate add-on launched only in March 2026 rather than a bundled core feature. Pulled its public pricing page in 2026, reducing the transparency advantage for new evaluators. No published quarterly aggregate threat report to independently verify performance claims at scale.
Radiant Security (legacy, now Cribl)
Pros: Strong “100% alert coverage” positioning and industry award recognition before the acquisition. Bundled log management addressed SIEM cost concerns directly. Vendor-agnostic ingestion model required minimal reconfiguration of existing tooling.
Cons: No longer sold as an independent product, existing customers face a forced migration or an uncertain wait for Cribl’s roadmap. Never published pricing, named customers, or third-party-verifiable benchmark data, making it the least transparent of the three even while it was independent. Future product direction is now controlled by Cribl’s telemetry-platform priorities rather than a dedicated security-only roadmap.
The verdict: which AI SOC analyst wins in September 2026
There is no single winner, because the two surviving vendors are optimized for different buyers. For an MSSP or a mid-market enterprise that wants the fastest path to production with a stack it can verify before signing, Dropzone AI is the safer default: 90-plus named integrations, five detailed named-customer case studies with hard percentages, and a pricing history transparent enough to sanity-check quotes against. For a larger enterprise that wants one contract to cover investigation, proactive hunting, and detection-rule authoring, plus a vendor willing to publish quarterly aggregate performance data rather than cherry-picked case studies, Prophet Security is the stronger fit, especially in financial services and healthcare where Amex Ventures and Citi Ventures’ strategic backing signals a vendor built for regulated-industry longevity.
Radiant Security is, as of September 2026, not a viable new purchase. Its technology lives on inside Cribl, and the September 28, 2026 CriblCon announcements will determine whether that becomes a third credible option or a feature bolted onto a telemetry pipeline product. Until Cribl clarifies that roadmap, any team currently on Radiant should run parallel evaluations of Prophet and Dropzone rather than waiting.
Zoomed out, the category itself is still early. Gartner’s own placement of AI SOC agents at the Innovation Trigger stage, with single-digit percentage market adoption, is a reminder that even the vendors publishing the most detailed benchmarks are reporting from a still-small production base. The 60-95% toil-reduction range that shows up across every vendor’s marketing is directionally consistent, but none of it has been validated by an independent lab benchmark comparable to what MITRE runs for EDR. Buy on integration fit and contract flexibility today, not on the specific percentage in a case study.
What to watch through the rest of 2026
Three dates on the calendar will reshape this comparison before the year is out. September 28, 2026 is CriblCon, where Cribl is expected to detail how Radiant’s acquired technology actually ships inside its telemetry platform, the single biggest open question for anyone who bought Radiant before the deal closed. Beyond that, watch for Prophet Security’s next quarterly threat report, since a second consecutive quarter of published aggregate data would make its transparency claim durable rather than a one-off marketing moment. And keep an eye on whether Dropzone AI restores any form of public pricing now that its Series B is more than a year behind it, since the shift to quote-only tiers is the one area where it has quietly given up its biggest early differentiator against Prophet.
There is also a structural question hanging over the entire category. Gartner’s Innovation Trigger placement means most of the case-study evidence cited throughout this piece comes from early adopters willing to hand an AI agent real-time API access to their security stack, not from a broad, representative sample of enterprise SOCs. As more risk-averse buyers, particularly in regulated industries with strict change-control requirements, start running formal proof-of-value pilots in 2027, expect the published benchmark numbers to compress toward the more conservative end of the 60-95% toil-reduction range industry trackers currently cite, simply because early adopters tend to report their best results first.
Frequently asked questions
Is Radiant Security still available to buy?
No. Cribl acquired Radiant Security’s technology assets and intellectual property on August 19, 2026. Existing Radiant customers should expect a transition toward Cribl’s telemetry platform rather than continued standalone sales.
How much does an AI SOC analyst platform cost?
Entry pricing for Prophet Security starts around $50,000 per year for 5,000 investigations on AWS Marketplace. Dropzone AI historically listed $36,000 per year for 4,000 investigations before moving to quote-based tiers in 2026. Radiant Security’s estimated range before its acquisition was $60,000 to $100,000 per year for a small team, rising well above $150,000 at enterprise scale.
What is the difference between an AI SOC analyst and SOAR?
SOAR runs pre-built playbooks that execute fixed steps for known alert types and break when APIs or attacker behavior change. An AI SOC analyst uses a language model to dynamically plan each investigation, deciding what evidence to gather and reasoning toward a verdict rather than following a static script.
Which AI SOC platform has the most integrations?
Dropzone AI publishes the most detailed public integration list, with more than 90 named tools across 14 categories including Splunk, Microsoft Sentinel, CrowdStrike, Microsoft Defender, Okta, and the major cloud providers.
Can an AI SOC analyst replace human tier-1 analysts entirely?
Vendor case studies show significant reductions in manual triage work, 70-86% in several named Dropzone customer deployments, but every documented deployment keeps human analysts in the loop for escalations, tuning, and final incident response decisions rather than removing the role outright.
How does Prophet Security’s Q3 2026 threat report change buying decisions?
It is the first quarterly aggregate performance disclosure published by any of the three vendors, showing 4.7 million investigation questions, a median five-minute time to determination, and identity-related attacks accounting for roughly half of confirmed malicious activity. That level of transparency gives buyers a data point to benchmark against that neither Dropzone nor the former Radiant Security currently publishes.
Is Cortex XSIAM a competitor to these three vendors?
Yes, but as a different kind of purchase. Palo Alto Networks’ Cortex XSIAM bundles SIEM, XDR, SOAR, and autonomous investigation into a single platform, appealing to buyers who want full stack consolidation rather than a point AI analyst layered on top of an existing SIEM.
What should I do if I already signed a contract with Radiant Security?
Start parallel evaluations of Prophet Security and Dropzone AI now rather than waiting for Cribl’s roadmap. Run a 30-day shadow-mode pilot against your live alert stream with each vendor before your current Radiant contract renews or lapses.
Do these platforms replace a SIEM?
No. Prophet Security and Dropzone AI both sit on top of an existing SIEM, EDR, and identity stack, querying those tools through read-only API access rather than replacing them. Radiant Security’s bundled log management came closer to overlapping with SIEM functionality, and that overlap is part of why Cribl, a telemetry data platform, found its technology a natural acquisition target.
How is Torq HyperSOC different from Prophet Security and Dropzone AI?
Torq HyperSOC is built around an existing SOAR foundation with an autonomous agent, called Socrates, layered on top, and it claims to close more than 90% of cases without human intervention. Prophet and Dropzone are purpose-built AI SOC analysts without a legacy SOAR core, which typically means a lighter integration footprint but less built-in case-management tooling than a SOAR-native platform provides out of the box.
