Security platform for AI models, agents, and applications
HiddenLayer is a security platform for detecting and defending against threats to AI models and applications.
AI Panel Score
6 AI reviews
Reviewed
AI Editor ApprovedApproved and published by our AI Editor-in-Chief after full panel analysis.HiddenLayer works by first building an inventory of the AI models, applications, and assets in an organization's environment, then scanning those assets for vulnerabilities as they are built and deployed. Security teams use the platform to run continuous attack simulations against their AI systems, validating whether existing defenses hold up under adversarial testing. A runtime component, described as a firewall, sits in front of agentic and generative AI applications to monitor traffic, detect adversarial inputs, and respond to attacks as they happen.
The platform is organized around four core capabilities: AI Discovery, AI Supply Chain Security, AI Attack Simulation, and AI Runtime Security. Named use cases include model scanning to detect risks in third-party and proprietary models, red teaming to identify threats and validate defenses, AI guardrails for policy-based controls against misuse and data leakage, and protection for agentic and MCP (Model Context Protocol) systems against rogue autonomous behavior. HiddenLayer offers pre-built integrations into CI/CD pipelines, MLOps tooling, data pipelines, and SIEM/SOAR systems for deployment inside existing security workflows. The company states its research has led to over 50 disclosed CVEs and more than 30 issued patents.
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Delivers quarterly research reports analyzing how AI threats and attack surfaces are evolving.
Identifies and builds an inventory of the AI applications, models, and assets present in an organization's environment.
Offers tailored AI security guidance and controls for specific roles (CISO, AI Executives, Developers) and industries (Financial Services, US Federal, Technology).
Provides pre-built integrations into CI/CD, MLOps, Data Pipelines, and SIEM/SOAR tools for simplified deployment.
Continually identifies threats and validates defenses to safeguard agentic and generative AI applications at scale.
Applies policy-based controls to prevent misuse, data leakage, and adversarial attacks on AI systems.
Monitors, detects, and responds in real time to adversarial threats targeting agentic and generative AI applications.
Analyzes, identifies risks in, and protects AI applications, models, and assets throughout the build process.
Safeguards autonomous AI systems and protects against rogue or unintended agent behavior.
Detects hidden risks and vulnerabilities in third-party and proprietary AI models before deployment.
Identifies AI threats early and continuously validates the effectiveness of security defenses.
This page returned a 404 error and contained no pricing tiers or plan details; HiddenLayer's pricing is not publicly listed and requires contacting sales or booking a demo.
Real category, real research depth, but pricing opacity means the board sees a black box.
“50 disclosed CVEs and 30 patents say this team actually breaks AI systems for a living. No public pricing and no free trial mean you're negotiating blind.”
Four modules: Discovery, Supply Chain Security, Attack Simulation, Runtime Security. That's a full-lifecycle pitch, not a point tool, and the CVE count backs up the research claim.
Two things worry me. One: pricing page 404s, so every deal starts as a black-box negotiation. Two: agentic and MCP protection is brand new territory — Protect AI and Robust Intelligence (now Cisco) are circling the same space, and nobody has three years of runtime data yet.
Non-invasive firewall claim is smart positioning for security teams wary of touching model weights. This is a category that's about to matter a lot. Pilot it against one production agent workload before you sign anything company-wide.
Competes directly with Protect AI and Cisco's Robust Intelligence in a category still forming its winners.
Gartner-recognized positioning reads as credible to a board, though sales-only pricing raises internal scrutiny.
Pre-built CI/CD, MLOps, and SIEM integrations shorten deployment, but no trial means no fast proof point.
Agentic and MCP protection addresses a gap most security stacks don't cover yet, per the named use cases.
50+ CVEs and 30 patents signal real research muscle, but no funding or team size disclosed in evidence.
Security teams running production agentic or generative AI who need supply-chain scanning and runtime defense in one platform.
Skip if you need transparent pricing or a self-serve trial before committing budget.
Full-lifecycle AI security with real research depth, but no pricing transparency and a firewall claim I'd still want to pressure-test
“HiddenLayer covers discovery through runtime defense with 50+ disclosed CVEs backing their research credibility. That's rare in a category full of vaporware, but enterprise procurement still runs into an opaque sales-only pricing model.”
Four modules — Discovery, Supply Chain Security, Attack Simulation, Runtime Security — map cleanly onto how I'd actually structure an AI risk program: know what you have, vet what you import, test it, defend it live. Fifty-plus disclosed CVEs and 30+ patents is the kind of research signal that separates a security vendor from a compliance checkbox vendor like some of the model-governance-only players (Credo AI, for instance, stops well short of runtime defense).
The MCP and agentic protection use case is timely — most of my peers don't have a real answer for rogue agent behavior yet, and HiddenLayer naming it directly is a point in their favor. The "non-invasive, no data access" claim on the runtime firewall is attractive for a CISO worried about adding another party with model access, but it's also the kind of claim I'd need in the SOW, not the marketing copy.
Three-year risk: contact-only pricing means budget forecasting is opaque, and CI/CD, MLOps, SIEM/SOAR integrations are pre-built but unverified in production at scale.
Gartner-recognized and ahead of governance-only competitors like Credo AI on runtime and adversarial coverage.
Lifecycle coverage from inventory through runtime matches how mature AI risk programs are actually structured.
Native CI/CD, MLOps, and SIEM/SOAR integrations are named, but no public docs or API reference to verify depth.
Sales-only pricing with no published tiers makes 3-year budget planning and renegotiation leverage harder to model.
50+ disclosed CVEs and 30+ patents indicate genuine offensive research, not repackaged model-risk scoring.
Enterprises running production agentic or generative AI that need lifecycle coverage from model inventory through real-time runtime defense.
Avoid if you need transparent, self-serve pricing to build a defensible security budget without a sales cycle.
Zero pricing data. Zero tiers. One 404 page where the pricing table should be.
“HiddenLayer sells four security modules with real depth — Discovery, Supply Chain, Attack Simulation, Runtime. But the number that matters, the invoice, doesn't exist anywhere public.”
No pricing page. Literally — the evidence shows a 404. Contact sales is the only door in.
That means TCO modeling starts blind. Compare to Protect AI or Robust Intelligence-style competitors: also enterprise-sales-only, so HiddenLayer isn't unusual, just unhelpful for budgeting. 50 disclosed CVEs and 30 patents signal real research depth. Doesn't tell finance what year 1 costs, let alone year 3 with seat or model-volume growth.
Four modules — Discovery, Supply Chain, Attack Simulation, Runtime — each could be bundled or metered separately. No public tier structure means no way to know if agentic/MCP protection is add-on or included. Procurement will need a signed NDA before seeing a number. Budget for a long sales cycle, not a fast PO.
Sales-call-only onboarding, no self-serve path, standard enterprise procurement friction.
No public contract terms; category norm is annual enterprise deals with limited negotiation room pre-scale.
Pricing page returns a 404; no tiers, no starting price, contact-only.
50 disclosed CVEs and red-teaming validation give measurable defense-posture signals, unlike vaguer AI security pitches.
Four modules could scale cost independently but no published metering makes 3-year math a guess.
Enterprise security teams with budget authority who can absorb a long sales cycle.
Avoid if you need a comparable number before your first call with sales.
Model scanning and a runtime firewall for agentic AI, but pricing and docs are locked behind sales calls
“HiddenLayer covers the full AI security lifecycle from model scanning to runtime defense, with real research behind it. But the day-to-day integration story is thin on public evidence.”
50+ disclosed CVEs and 30+ patents is a real signal — this isn't a marketing team bolting 'AI security' onto a generic WAF. Model scanning for third-party models before deployment maps to a concrete supply-chain problem I actually lose sleep over: a compromised HuggingFace checkpoint in prod. The AIDR runtime firewall claiming no access to sensitive data is the right design for a security tool, since I don't want another vendor in my data path.
No public docs, no API reference, no pricing page — that 404 tells me evaluation starts with a sales call, not a sandbox. Compare that to how Wiz or even Cloudflare let you poke at capabilities before committing budget. SIEM/SOAR and CI/CD integrations are named but unverifiable without a demo environment.
Agentic and MCP protection is timely — most competitors are still catching up to non-deterministic agent behavior. Whether the guardrails generate alert fatigue at 3am is the real test, and nothing here answers that.
No trial or sandbox means day-3 experience is unverifiable from public evidence.
No public docs, API reference, or changelog found in the scrape — can't assess practitioner depth.
Non-invasive firewall design is a friction win, but sales-gated onboarding adds upfront friction.
Four-module architecture spanning discovery through runtime defense shows lifecycle depth beyond a point tool.
Named CI/CD, MLOps, and SIEM/SOAR integrations suggest real workflow fit, though unproven publicly.
Security teams with agentic or MCP-based AI systems already in production who need supply-chain and runtime coverage in one platform.
You need to self-serve evaluate via docs or a sandbox before looping in procurement.
Serious security chops, but I can't tell you what a Tuesday with this thing actually looks like.
“HiddenLayer's got the resume — 50-plus CVEs, 30-plus patents, four solid modules. But there's zero public evidence of what using it day to day feels like.”
No pricing page (it 404s), no docs link, no free trial. That's not unusual for enterprise security tools that gate everything behind a demo call, same as Protect AI or Robust Intelligence in this space. But it means I'm grading the pitch, not the product.
The four-module setup — Discovery, Supply Chain Security, Attack Simulation, Runtime Security — reads coherent on paper. Model scanning and the non-invasive runtime firewall (their words: doesn't touch your sensitive data) are the kind of specific claims that suggest real engineering, not just marketing slides. Agentic and MCP protection is timely too, given how fast that surface is expanding.
Here's my actual problem: everything I'd want to know about the first hour, the tenth integration, the 2am false-positive alert fatigue — none of it's public. No changelog, no blog cadence, no user-facing docs. For a platform meant to sit inside CI/CD and SIEM/SOAR pipelines, that's a lot of trust to ask for sight-unseen.
No docs, changelog, or product screenshots publicly available to judge daily craft.
Four clearly named modules and pre-built CI/CD, MLOps, SIEM/SOAR integrations suggest a structured ramp for security teams already fluent in those tools.
Platform listed as web-only; this is an ops/security console, so mobile isn't the point but there's no evidence of any companion access.
No free trial or self-serve path; onboarding is entirely sales-gated with no visible starter flow.
50+ disclosed CVEs and 30+ patents signal real research depth, though no uptime or SLA data is public.
Enterprise security teams with dedicated AI/ML risk budgets and a sales cycle they're already comfortable with.
You want to self-serve, see pricing upfront, or try before committing to a sales call.
"Most comprehensive" AI security platform, zero pricing page, zero docs link.
“Solid category story on paper — 50 disclosed CVEs, 30 patents, four clean modules. But the site gives you nothing to verify it against, and that's a pattern I've seen before.”
"The most comprehensive security platform for AI" is the H1. That's the kind of superlative I've learned to discount until proven otherwise — no docs, no API reference, no changelog visible on the site. For a security vendor, that's a real gap. You want to see how the runtime firewall actually behaves before buying it.
The substance is real, though. 50 disclosed CVEs and 30 patents is a specific, checkable claim, not vapor. Model scanning and MCP/agentic protection put them ahead of generic vendors like Protect AI on the agent-security angle specifically, though that space is filling fast.
Pricing is 'contact sales' with no tiers, no free trial. Fine for enterprise security, but it means no easy signal on how they scale down-market. Exit story is murky — SIEM/SOAR integrations help, but a runtime firewall in your AI traffic path isn't a drop-in swap after 18 months.
MCP and agentic-specific protection is a real gap versus broader players like Protect AI or Robust Intelligence's old positioning.
Runtime firewall sits inline on agentic traffic; no migration tooling or export story mentioned anywhere.
Gartner-recognized status and research output are strong signals, but no funding figures or team size disclosed.
"Most comprehensive" claim with no docs, API, or pricing page to substantiate it.
50 CVEs and 30 patents is a verifiable research signal, matching credible security vendors, not vaporware pitches.
Enterprise security teams with budget for a sales cycle and real AI supply chain exposure.
You want to self-serve, see pricing upfront, or test drive before committing.
Common questions answered by our AI research team
HiddenLayer's platform is built on four core modules: AI Discovery, AI Supply Chain Security, AI Attack Simulation, and AI Runtime Security, covering the full AI lifecycle from inventory to real-time defense.
Yes, model scanning detects hidden risks in both third-party and proprietary AI models before they're deployed, identifying vulnerabilities and hidden threats in the AI supply chain.
Yes, HiddenLayer includes Agentic and MCP Protection as a dedicated use case, safeguarding autonomous systems and protecting against rogue behavior.
HiddenLayer offers native, pre-built integrations into CI/CD pipelines, along with MLOps, Data Pipelines, and SIEM/SOAR tools for simplified deployment.
No, HiddenLayer's AIDR runtime firewall is non-invasive and provides real-time protection against adversarial attacks without needing to access a customer's sensitive data or proprietary models.
HiddenLayer is an Austin-based cybersecurity company that develops security software to protect machine learning models and AI systems from adversarial attacks.
