Salt vs Wallarm vs Akamai API Security: 48x G2 Gap [2026]

Every enterprise now ships more APIs than webpages, and attackers know it. Salt Security, Wallarm, and Akamai API Security (the product born from Akamai’s 2024 purchase of Noname Security) have become the three names that show up most often when security teams search for a dedicated way to find, watch, and defend the endpoints that traditional web application firewalls were never built to understand. This comparison breaks down what each platform actually does in September 2026, what independent reviewers say about them, what they cost, and which one fits your environment.

Why API Security Became a Board-Level Problem in 2026

APIs stopped being a developer convenience years ago. They are now the primary way mobile apps, partner integrations, and increasingly AI agents talk to backend systems, and that shift changed what attackers target first. Wallarm’s 2026 API ThreatStats Report found that 11,053 of the 67,058 vulnerabilities published in 2025, roughly 17%, were API-related. The same research found that 43% of the entries added to CISA’s Known Exploited Vulnerabilities catalog that year traced back to an API flaw, a pattern consistent with the broader vulnerability-disclosure trends tracked in the National Vulnerability Database. Cross-site issues overtook other bug classes as the single largest category of API threat by volume, with injection and broken access control still close behind.

Secondary reporting tied to Akamai’s State of the Internet research describes a 113% year-over-year jump in daily API attacks per organization, and a separate figure attributed to Imperva’s threat research puts the growth in malicious API traffic at 168% year over year. Those numbers come from secondary summaries rather than the primary reports themselves, so treat them as directional rather than gospel, but the direction is consistent across every source: API attack volume is rising faster than the tooling built to stop it. Independent research from F5 Labs has tracked a similar pattern for several years running, with APIs consistently cited as one of the fastest-growing categories of attack surface across large enterprises.

None of this is theoretical. Every real API security tool on the market exists because a specific, named breach proved a web application firewall could not see the problem. We will walk through five of those breaches later in this article, but the short version is that a WAF trained to spot SQL injection in a login form has almost nothing useful to say about a mobile app calling an internal endpoint 40,000 times a minute to scrape someone else’s account data. That is the gap Salt Security, Wallarm, and Akamai API Security are built to close, and each closes it a little differently.

Meet the Three Platforms

Before getting into feature-by-feature detail, it helps to know where each vendor came from and where it is headed, because that history explains a lot of the current product roadmap.

Salt Security launched as a pure API security company and built its reputation on behavioral detection: watching how APIs are normally called and flagging deviations rather than relying on static signatures. In 2026 the company has been steadily rebranding itself as the Salt Agentic Security Platform, extending the same detection engine to cover AI agents that call APIs on a user’s behalf.

Wallarm has stayed closer to its original identity as an API and cloud-native application protection company, and it has leaned hard into public threat research as a differentiator. Its annual ThreatStats report has become one of the more widely cited sources for API vulnerability statistics in the industry, which is exactly the kind of credibility a smaller vendor needs when competing against platform giants.

Akamai API Security is the product formerly known as Noname Security before Akamai acquired the company in 2024. As of September 2026, the available evidence shows Akamai still marketing it under the Akamai API Security name rather than folding it into a fresh brand, while positioning it as one layer inside Akamai’s much larger application and edge security portfolio, alongside its App and API Protector and its content delivery network business.

Salt Security in Detail: From API Protection to Agentic Defense

Salt Security’s core pitch has always been the same: discover every API in the environment, including the ones nobody documented, then build a behavioral baseline for how each one is supposed to be used so that abuse looks like an anomaly rather than a signature match. That approach matters because most serious API attacks, like scraping, broken object level authorization, or business logic abuse, do not trip a traditional rule. They look like a normal API call repeated an abnormal number of times, or a normal call made by someone who should not have access to that particular object.

2026 has been an active year for Salt’s product roadmap specifically around AI. On September 22, the company announced native AI Detection and Response, internally called AI-DR, built into the Salt Agentic Security Platform to monitor how autonomous AI agents interact with APIs. Six days earlier, on September 16, Salt expanded its integration with CrowdStrike, aimed at giving joint customers shared visibility into AI-agent activity across endpoint and API telemetry. In early August, Salt shipped Salt Managed Rules for AWS WAF, a managed ruleset designed to extend protection to both conventional APIs and the newer category of AI-agent traffic.

On G2, Salt Security’s API Protection Platform carries a 4.7 out of 5 rating, though the review count sits at just 12, a surprisingly small sample for a vendor this well known in the category. That thin review base is worth keeping in mind: a 4.7 average built on a dozen reviews carries far less statistical weight than the same score built on a hundred.

Wallarm in Detail: Threat Research as a Product Strategy

Wallarm’s API Security Platform covers the same core job as Salt’s, discovery, posture management, and runtime attack detection, but the company has built a distinct identity around publishing hard data on the API threat landscape rather than just marketing copy. Its 2026 API ThreatStats Report is the source behind the 17% and 43% figures cited earlier in this article, and Wallarm uses that research pipeline both to sharpen its own detection signatures and to establish itself as an authority independent of its product sales.

The available evidence did not surface a single headline product launch for Wallarm in the July through September 2026 window comparable to Salt’s AI-DR announcement. That does not mean the product stood still, but it does suggest Wallarm’s 2026 has been more about research output and steady platform refinement than splashy feature drops.

Where Wallarm pulls ahead of Salt is review volume. Its G2 page shows the same 4.7 out of 5 rating as Salt, but with 97 reviews behind it, roughly eight times the sample size. For buyers who weight G2 data heavily in a shortlist process, that gap alone can tip a decision, since a rating backed by nearly a hundred independent voices is simply more trustworthy than one backed by 12.

Akamai API Security in Detail: Noname’s Second Life Inside a Platform Giant

Noname Security built a strong independent reputation before Akamai bought it, particularly for API discovery across large, sprawling enterprise environments and for posture management that flagged misconfigured or forgotten endpoints before an attacker found them. The acquisition folded that technology into Akamai’s much broader security and content delivery business, which now spans everything from DDoS mitigation to bot management to the API layer.

The tradeoff of that integration shows up clearly in the review data. Akamai API Security’s G2 page shows a 3.6 out of 5 rating from just 2 reviews, both the lowest score and by far the smallest sample of the three platforms. A two-review average is not statistically meaningful in either direction, but it does suggest that Akamai has not yet driven the same level of independent customer feedback into G2 that Salt and Wallarm have, whether because customers are folding their feedback into general Akamai reviews instead, or because the product’s visibility as a standalone line item has diminished since the Noname brand disappeared.

The advantage Akamai brings that neither standalone vendor can match is scale of existing deployment. Any enterprise already running Akamai’s content delivery network or its App and API Protector has a much shorter path to turning on API-specific detection, because the traffic is already flowing through Akamai’s edge. That bundling logic is the same one that has driven a wave of cybersecurity consolidation industry-wide, and it is a legitimate reason a CISO might pick Akamai even with a thinner independent review record.

How Detection Actually Works Under the Hood

All three vendors talk about discovery and detection, but the mechanics behind those words differ enough to matter for a real deployment. Understanding the difference helps explain why the same category of tool can produce such different day-to-day experiences for a security team.

Salt Security’s approach centers on building a statistical model of normal behavior for every discovered API, then flagging deviations from that model. In practice this means the platform needs a learning window, typically measured in weeks, before it can reliably distinguish an attacker from a legitimate power user hitting an endpoint unusually hard. The upside of this method is that it can catch attacks nobody has ever seen before, including business logic abuse that has no known signature, because the anomaly is defined relative to the organization’s own traffic rather than a shared list of known-bad patterns.

Wallarm blends that same behavioral approach with a signature layer fed by its own threat research pipeline. That hybrid model means Wallarm can act faster on known attack classes, the ones catalogued in its ThreatStats research, while still relying on behavioral analysis for the abuse patterns that have no fixed signature. The tradeoff is a slightly more complex tuning process, since security teams need to manage both signature-based and behavioral rule sets rather than one unified model.

Akamai API Security, inheriting Noname’s original architecture, has historically put more weight on the discovery and posture side of the equation: finding every API, mapping what data it touches, and flagging configuration weaknesses like missing authentication or overly permissive access scopes before an attacker ever sends a malicious request. That posture-first philosophy is arguably the most preventive of the three approaches, since a misconfigured API caught during a posture scan never gets the chance to be exploited in the first place, but it can mean less emphasis on real-time behavioral anomaly detection compared with Salt or Wallarm.

None of these approaches is objectively superior. A security team with a mature DevSecOps pipeline that catches misconfigurations early may get more value from Salt’s or Wallarm’s runtime behavioral detection, since their posture problems are already handled elsewhere. A team still fighting basic API inventory and configuration hygiene may get more immediate value from Akamai’s discovery-first approach, because the biggest risk in that environment is not a sophisticated attacker but an API nobody knew was exposed to the internet.

Compliance and Regulatory Pressure Driving Adoption

A growing share of the demand for dedicated API security is not coming from security teams reading threat research. It is coming from compliance teams reacting to regulation that increasingly names APIs explicitly. Financial services firms operating in the European Union now have to account for third-party and API-related operational risk under the Digital Operational Resilience Act, which took effect in 2025 and pushed API inventory and monitoring from a best practice into a documented supervisory expectation. Version 4.0 of the PCI Data Security Standard, now the enforced baseline for any organization handling payment card data, calls out API-specific risk in its guidance around authenticated access and continuous monitoring of the systems that touch cardholder data.

That regulatory backdrop changes the buying conversation for all three vendors. A compliance officer asking whether the organization can produce a complete, current inventory of every API touching regulated data is effectively asking the exact question Salt Security, Wallarm, and Akamai API Security are all built to answer. This is part of why the discovery capability common to all three platforms has become as important a selling point as the runtime attack detection, even though attack detection tends to get more attention in vendor marketing. An auditor rarely asks how many attacks a tool blocked last quarter. Instead, an auditor asks for a current, provable list of every API in scope and evidence that it is being monitored.

Healthcare organizations face a parallel pressure. APIs increasingly carry protected health information between electronic health record systems, insurance platforms, and patient-facing apps, and a HIPAA-covered entity that cannot account for where that data flows through its API layer is exposed to the same kind of enforcement risk as one with an unencrypted database. None of the three platforms in this comparison markets itself primarily as a compliance tool, but the discovery and posture-management features that all three ship are increasingly being purchased with a compliance audit, not just a red-team exercise, in mind.

Full Feature and Specs Comparison

The table below lines up the three platforms across the criteria that matter most in a real procurement process, based on the vendors’ current public positioning as of September 2026.

Criteria	Salt Security	Wallarm	Akamai API Security (ex-Noname)
Origin	Independent, API-first since founding	Independent, API and cloud-native app protection	Acquired by Akamai in 2024, formerly Noname Security
Core detection method	Behavioral baselining across API traffic	Signature plus behavioral detection, backed by proprietary threat research	Discovery-led posture management plus runtime detection
2026 flagship addition	AI Detection and Response (AI-DR) for agentic traffic, Sept. 22	2026 API ThreatStats Report (research-led)	Continued integration into Akamai’s edge security stack
AI agent security	Native, purpose-built (Salt Agentic Security Platform)	Not a stated primary focus	Not a stated primary focus
Deployment model	Cloud SaaS, integrates via API gateways, CDNs, WAFs	Cloud SaaS, agent and inline modes	Delivered as part of Akamai’s edge/CDN platform
Third-party integration highlighted in 2026	CrowdStrike (Sept. 16), AWS WAF (Aug. 4)	No single 2026 headline integration surfaced	Native to Akamai App and API Protector
G2 rating	4.7 / 5	4.7 / 5	3.6 / 5
G2 review count	12	97	2
Public pricing	Not published; quote-based	Not published; quote-based	Not published; quote-based
Best-fit organization size	Mid-market to enterprise, security-first buyers	Mid-market to enterprise, dev-adjacent security teams	Large enterprise already standardized on Akamai edge services
Independent analyst placement (Gartner MQ / Forrester Wave)	Not independently confirmed as of Sept. 2026	Not independently confirmed as of Sept. 2026	Not independently confirmed as of Sept. 2026

That last row deserves a callout of its own. Several vendor comparison pages online claim Gartner Magic Quadrant or Forrester Wave leadership for one API security vendor or another, but a direct check of the available 2026 research did not turn up a verifiable, dated placement specific to these three products in this specific category. Treat any such claim you see elsewhere with appropriate skepticism unless it links straight to the primary Gartner or Forrester document.

Benchmarks and Independent Ratings: Reading Between the Review Counts

The single most useful independent data point available for these three platforms right now is G2 review data, and it tells a more nuanced story than a simple star rating implies. Salt Security and Wallarm both average 4.7 out of 5, a statistical tie on paper. But Wallarm’s score rests on 97 reviews while Salt’s rests on 12, roughly an eight-fold difference in sample size. A rounder way to frame the gap between the platform with the most reviews and the platform with the fewest, Wallarm’s 97 against Akamai’s 2, is a 48-times difference in review volume.

Review count is not a perfect proxy for product quality, but it is a reasonable proxy for how many real deployments exist and how comfortable those customers are putting their name behind a public review. Wallarm’s larger base suggests a wider footprint of live production deployments willing to talk about the product. Salt’s smaller base could reflect a newer or more security-conscious buyer profile that is simply less inclined to leave public reviews, or it could reflect a narrower customer count relative to Wallarm. Akamai’s near-absence of reviews most likely reflects the branding transition: customers who bought Noname may still think of the product by its old name, or their feedback may be getting folded into broader Akamai platform reviews rather than a standalone API security listing.

None of the three vendors has a confirmed, dated Gartner Peer Insights score or Magic Quadrant placement specific to API security that could be verified for this comparison, and no Forrester Wave placement for the category surfaced either. That is a meaningful gap for a category this mature, and it suggests API security has not yet consolidated into the kind of standardized analyst-tracked market that, say, endpoint detection and response has. Buyers evaluating these platforms today are relying more heavily on peer review sites, vendor-published research, and direct proof-of-concept testing than on a settled analyst consensus.

Pricing Comparison: Why Nobody Publishes a Number

If you came here hoping for a clean per-seat or per-endpoint price, the honest answer is that none of the three vendors publishes one. G2’s own comparison page for Salt Security and Wallarm lists pricing for both as unavailable, and the same is true for Akamai API Security. This is standard practice across enterprise API security, where cost depends heavily on API call volume, number of environments, number of distinct APIs under management, and whether you buy discovery-only or the full detection-and-response stack.

Vendor	Published list price	Pricing model	Primary cost drivers
Salt Security	None published	Custom quote	API call volume, number of APIs discovered, AI-DR add-on
Wallarm	None published	Custom quote	Traffic volume, deployment mode (agent vs. inline), number of environments
Akamai API Security	None published	Custom quote, often bundled	Existing Akamai footprint, bundling with App and API Protector or CDN contracts

What that means practically: if you are budgeting for API security, do not expect to complete an evaluation without a sales conversation, and expect the quote to move significantly depending on whether you are protecting a handful of critical APIs or an entire enterprise API sprawl numbering in the thousands. Organizations already paying Akamai for CDN or WAF services should specifically ask what bundling discount applies before assuming a standalone Salt or Wallarm deployment is cheaper, since the marginal cost of adding API security to an existing Akamai contract can be lower than starting a brand-new vendor relationship from zero.

Five Real-World Breaches That Explain Why This Category Exists

Abstract statistics about API vulnerability percentages are useful, but nothing makes the case for dedicated API security like looking at what happens when nobody is watching. These five incidents, none of them involving Salt, Wallarm, or Akamai customers specifically, are the reference points the entire API security category points to when justifying its existence.

Company	Year disclosed	Scale	Root cause
T-Mobile	Disclosed Jan. 19, 2023	~37 million customer accounts	Unauthorized access through a single exposed API, active from Nov. 2022
Optus	Sept.-Oct. 2022	2.1 million ID documents compromised, up to 9.8 million records touched	Exposed, internet-facing API lacking authentication
Trello	Jan. 2022	~15 million user records	API allowed scraping of profile data tied to email addresses
Dell	May 2024	~49 million customer records	Automated scraping through a partner-facing API
X (formerly Twitter)	Jan. 2023	~200 million accounts	API vulnerability exploited during 2021-2022, dataset surfaced in 2023

Look at the pattern across all five. None of them involved a sophisticated zero-day exploit chain, which lines up with the broader finding in Verizon’s Data Breach Investigations Report that most breaches trace back to a mundane failure point rather than an exotic attack technique. Every one involved an API doing more or less exactly what it was built to do, just at a scale or to an audience nobody intended. T-Mobile’s exposed API let one actor pull tens of millions of accounts over more than a month before anyone noticed, because each individual query looked like normal application traffic rather than an attack. Optus’s API had no authentication check standing between the internet and a customer identity database, meaning the “attack” was arguably just someone finding a door that was never locked. Trello’s and Dell’s incidents were both, at their core, automated scraping abuse of legitimate API functionality rather than a broken lock, which is exactly why rate-based behavioral detection, not signature matching, is the tool that would have caught them. The X dataset shows the long tail risk of this category especially well: the underlying API flaw dated back to 2021, but the resulting dataset did not surface publicly until 2023, illustrating how long a quiet API exposure can sit unnoticed before anyone realizes the scale of what was taken.

That is precisely the behavioral anomaly detection that Salt, Wallarm, and Akamai’s tools are designed to catch, and precisely the kind of attack a conventional WAF, tuned for SQL injection and cross-site scripting, is not built to flag. None of these five companies has publicly confirmed which, if any, dedicated API security vendor they use today, so this comparison is not suggesting Salt, Wallarm, or Akamai failed anyone. The point is narrower and more useful: these are the incidents the entire category cites as the reason it exists, and any organization evaluating these three platforms should be asking, specifically, “would this tool have caught this pattern in our own environment?”

Use Cases: Which Platform Fits Which Organization

There is no universal winner here. The right pick depends heavily on what you already run, how mature your API inventory is, and how far you want to go into AI-agent-specific defense. Here are six scenarios where one platform has a clear edge.

You are building or exposing AI agents that call internal APIs. Salt Security’s AI-DR launch and its Agentic Security Platform branding make it the most purpose-built option for organizations that need to monitor what autonomous agents are doing with API access, not just what human-driven applications are doing.
You want the most peer-validated product on the market. Wallarm’s 97 G2 reviews give buyers the largest independent evidence base of the three, which matters if your procurement process weights third-party validation heavily.
You are already a large Akamai customer. If your organization runs Akamai for CDN, DDoS protection, or its App and API Protector, adding Akamai API Security is the lowest-friction path, since the traffic already flows through Akamai’s edge and the contract can often be consolidated.
You need public threat intelligence to justify budget internally. Wallarm’s annual ThreatStats research gives security teams ready-made, citable statistics to bring to leadership when arguing for a dedicated API security line item, which Salt and Akamai do not offer at the same publication cadence.
You have a large, undocumented API sprawl from mergers or years of shadow development. This is the scenario Noname Security’s technology, now inside Akamai, was originally built to solve: finding APIs nobody remembers building before an attacker finds them first.
You run a security team small enough that a thin vendor relationship is a risk. Salt’s smaller review base and narrower company footprint compared with an infrastructure giant like Akamai could matter if long-term vendor stability is a bigger concern than feature depth.

Migration Guide: Moving From No Dedicated API Security to a Real Platform

Most organizations evaluating these three platforms are not migrating from a competing API security tool. They are migrating from nothing, or from the assumption that a web application firewall already has this covered. Here is a realistic path through that transition.

Run a full API discovery pass before buying anything. All three vendors offer some form of discovery-focused trial or proof of concept. Use it to build an honest inventory, since most enterprises discover they have significantly more live APIs than their own documentation shows.
Classify what you find by data sensitivity, not just by team ownership. An API returning customer financial data needs different scrutiny than an internal status endpoint, even if both were built by the same engineering team.
Establish a behavioral baseline for at least 30 days before turning on active blocking. Behavioral detection tools like Salt’s and Wallarm’s need a learning period, and blocking too early on an incomplete baseline produces false positives that erode developer trust in the tool.
Decide whether you need inline blocking or detection-and-alert only for a first phase. Many security teams start in monitor-only mode to avoid breaking production traffic, then move to active enforcement once confidence in the baseline is high.
Map the tool into your existing SOC workflow, not around it. Salt’s CrowdStrike integration and Akamai’s native tie-in to its own WAF exist for this exact reason: alerts that live in a separate console nobody checks are worse than no tool at all.
Extend coverage to AI agents explicitly if you have any in production. Do not assume your existing API security posture automatically covers agent-driven API calls. Verify it, and if it does not, that is the moment to evaluate Salt’s AI-DR capability specifically.
Set a 90-day review checkpoint. Given how thin the public review data is for two of these three vendors, your own internal proof-of-concept results should carry more weight than any G2 score in this category, including the numbers cited in this article.

Salt Security: Pros and Cons

Pros	Cons
Purpose-built for both API and, as of Sept. 2026, AI agent traffic	Smallest G2 review sample of the three (12), making the 4.7 rating harder to trust statistically
Active integration roadmap with major security vendors like CrowdStrike	No published pricing, requiring a sales cycle to get even a ballpark figure
Behavioral detection catches abuse that signature-based tools miss	No independently confirmed Gartner or Forrester placement for the category as of Sept. 2026

Wallarm: Pros and Cons

Pros	Cons
Largest independent review base of the three (97 on G2), the strongest peer validation available	No AI-agent-specific security capability comparable to Salt’s AI-DR as of this comparison
Publishes annual, widely cited API threat research that doubles as internal budget-justification material	No single headline 2026 product launch surfaced to match Salt’s pace of announcements
Flexible deployment across agent and inline modes	No published pricing

Akamai API Security: Pros and Cons

Pros	Cons
Backed by Akamai’s massive existing edge and CDN footprint, easing deployment for current Akamai customers	Lowest G2 rating (3.6) and smallest review count (2) of the three
Inherits Noname Security’s discovery-focused technology for finding undocumented APIs	Brand transition appears to have suppressed independent review visibility
Can bundle with existing App and API Protector or CDN contracts	Less differentiated as a standalone purchase versus a broader Akamai platform commitment

What a Basic API Security Policy Actually Checks For

To make the abstract threat categories concrete, here is a simplified example of the kind of check every one of these three platforms is ultimately trying to enforce: catching a broken object level authorization flaw, the number one item on the OWASP API Security Top 10 and the exact failure pattern behind incidents like Optus’s. A vulnerable endpoint might accept a request like this without verifying the requester actually owns the referenced object:

GET /api/v2/users/8841/invoices HTTP/1.1
Host: api.example.com
Authorization: Bearer <valid-token-for-user-1023>

# Vulnerable: the API trusts the ID in the URL path
# instead of checking it against the authenticated user's own ID.
# Changing 8841 to any other integer returns someone else's invoices.

A dedicated API security platform flags this pattern by noticing that the authenticated user tied to that bearer token is making sequential, high-volume requests against object IDs that do not belong to them, an anomaly no signature-based WAF rule is designed to catch, because every individual request is syntactically valid. That single failure mode, scaled up across millions of requests, is the mechanism behind the Trello and Dell incidents described earlier in this article.

The Verdict: Which Platform Wins in 2026

Based on the current data, there is no single overall winner, and any comparison that hands one of these three an unqualified crown is oversimplifying a genuinely close field. Wallarm has the strongest independent validation, with a G2 review count nearly eight times Salt’s and roughly 48 times Akamai’s, at an identical 4.7 rating to Salt. That combination of scale and score makes Wallarm the safest default recommendation for a team running a standard vendor evaluation process with no unusual constraints.

Salt Security is the clear pick for any organization that already has, or is actively planning, AI agents with API access, given its Sept. 22 AI-DR launch and its broader repositioning as an agentic security platform. That is a forward-looking bet rather than a proven track record, since the AI-DR capability is brand new as of this writing, but it addresses a threat surface neither competitor has committed to as explicitly.

Akamai API Security is the right call almost exclusively for organizations already deep in Akamai’s ecosystem. Its thin G2 footprint, a 3.6 rating from just 2 reviews, is not enough evidence to recommend it on independent merit alone, but the calculus changes entirely if you are already paying Akamai for CDN and WAF services and the marginal cost of adding API-layer detection is low. For everyone else starting from a clean slate, Salt and Wallarm currently make a stronger independent case.

Frequently Asked Questions

Is a web application firewall enough to protect APIs?
No. A WAF is built to catch known attack signatures like SQL injection or cross-site scripting in request payloads. API abuse frequently looks like a perfectly valid request repeated at an abnormal scale or by the wrong user, which is exactly the gap dedicated platforms like Salt, Wallarm, and Akamai API Security are built to close, often working alongside a WAF rather than replacing it.

What is the actual price difference between Salt, Wallarm, and Akamai API Security?
None of the three vendors publishes list pricing. All three sell through custom quotes based on API volume, number of environments, and which modules you license, so a direct dollar comparison is not possible without running your own procurement conversation with each vendor.

Which of these three platforms has the most independent reviews?
Wallarm, with 97 reviews on G2 as of this comparison, well ahead of Salt Security’s 12 and Akamai API Security’s 2.

Does any of these platforms secure AI agents, not just traditional APIs?
Salt Security is the most explicit about this, having launched native AI Detection and Response inside its Salt Agentic Security Platform on Sept. 22, 2026. Wallarm and Akamai API Security have not made a comparable AI-agent-specific announcement as of this writing.

Are Salt Security, Wallarm, or Akamai API Security named as Leaders in a Gartner Magic Quadrant or Forrester Wave for API security?
No verifiable, dated 2026 placement specific to this category could be confirmed for any of the three as of this comparison. Be cautious of marketing claims that cite analyst leadership without linking directly to the primary report.

What is the OWASP API Security Top 10, and why does it matter for this comparison?
It is the industry-standard list of the most common and dangerous API vulnerability categories, maintained by the OWASP Foundation. Broken object level authorization sits at the top of that list, and it is the exact failure pattern behind several of the real-world breaches discussed in this article.

Can a small company justify buying a dedicated API security platform, or is this only for large enterprises?
All three platforms are typically positioned toward mid-market and enterprise buyers, and none publishes a low-cost entry tier. A smaller organization with a limited number of externally facing APIs may get more immediate value from disciplined use of the free OWASP API Security Top 10 checklist and strong authentication hygiene before committing budget to a dedicated platform.

How often should an organization re-run API discovery once one of these tools is deployed?
Continuously, not as a one-time project. All three platforms are designed to run discovery on an ongoing basis specifically because new APIs get shipped constantly, and a discovery scan run once a quarter will always be behind whatever engineering shipped last week.