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Wallarm is an AI security and API security platform that discovers AI workloads, monitors runtime behavior, enforces policy inline, and generates continuous compliance evidence, built for enterprises running AI on AWS.
Enterprises are running AI at scale. Most can't say what it's actually doing.
Adoption
88%
of organizations now use AI in at least one business function. Agentic AI is moving into core workflows.
Source: McKinsey, State of AI 2025
Maturity
30%
have reached meaningful maturity in AI strategy, governance, and agentic controls. The rest are running AI faster than they can govern it.
Source: McKinsey, State of AI 2025
Risk
87%
of security leaders identify AI-related vulnerabilities as the fastest-growing cyber risk. The EU AI Act takes effect August 2026.
Source: World Economic Forum / Accenture Cyber Outlook 2025
The governance gap widens every quarter that deployment outpaces oversight. The enterprises that close the loop first move fastest and accumulate the least debt.
How the AI Control Platform works
One Platform. One AI Control Loop.
Most AI tools cover only one layer and control breaks between them. Wallarm closes the loop with discovery, runtime visibility, enforcement, and audit-ready evidence in one platform, with no manual handoffs.
1
Discover
See every AI workload even the ones nobody inventoried.
Cross-account topology with creator attribution. Shadow AI surfaces within minutes of deployment.
2
Observe
Watch what AI actually does at runtime.
Patented, non-invasive instrumentation. Every call, every data flow, every decision, zero agents, zero code changes.
3
Enforce
Stop policy Violations Automatically.
Block, quarantine, revoke. Connection drops at the kernel, no pod restarts, no downtime.
4
Govern
Generate evidence. don't assemble it.
Coverage heatmap, AI Inventory, audit logs, EU AI Act mapping. Audit-ready at any time, with live data.
The four steps form a loop, not a checklist. Policy shapes what we observe. Observation shapes what we enforce. Enforcement produces the evidence that shapes new policy. That is the AI Control Loop and it only works when all four steps run on one platform.
Cross-account visibility across your entire AWS estate. Maps every AI workload, surfaces shadow AI within minutes of deployment, and auto-provisions AI Hypervisor when qualifying EKS clusters are found.
Kernel-level runtime enforcement on EKS. Observes every AI agent decision, enforces policy at the connection level, and generates continuous compliance evidence — without modifying the application.
Inline protection for the APIs your AI workloads call and the applications they power. Blocks OWASP API Top 10, abuse, and account takeover across REST, GraphQL, gRPC, SOAP, and WebSocket — on the same platform as your AI governance.
AWS + Wallarm: The Complete Wallarm AI Control Loop, Built for AWS.
GuardDuty detects. IAM Access Analyzer flags. Security Hub aggregates. None were built to see what AI agents are actually doing at runtime. Wallarm closes that gap — natively, inside your AWS environment — and makes every AWS security service you already pay for measurably more effective.
A single Wallarm deployment connects your existing AWS security stack, Security Hub, GuardDuty, IAM Access Analyzer, Inspector, Macie, and more, so the investments you've already made start working together to protect your AI infrastructure. Enforcement runs inside your own VPC, keeping traffic in your environment. Discovery uses cross-account IAM role assumption with no stored credentials, so you get visibility across accounts without new security risk.
GuardDuty and Security Hub findings land on the Wallarm topology graph with full AI runtime context — in plain language your team can act on.
Certified AWS Security
Validated against AWS's own AI security criteria. Surfaces over-permissioned AI agent roles with what those permissions actually reach.
Three Deploy Modes
Self-managed open-source edge inside your VPC. Security Edge in-VPC. Security Edge SaaS. Choose what fits your trust boundary.
Why nobody else closes the AI Control Loop
Zero agents. Zero code changes. Patented Technology.
Traditional tools see traffic or prompts. Wallarm sees what AI actually does — at the kernel level. Every call, every data flow, every decision. No proxies, no code changes.
That's how we enforce in milliseconds, attribute LLM cost by user and team, and generate audit-ready evidence by default.
Patented non-invasive kernel analysis. No other platform reads AI agent behavior without modifying the application.
01
No code changes. Engineers build the way they already build.
02
No sidecars. No pod restarts. No impact to existing workloads.
03
No performance tax. Kernel-level instrumentation runs invisibly.
Different Roles. Different Stakes. One Shared Responsibility.
For the CIO
AI transformation is the governance infrastructure decision that defines the decade. Wallarm is how you give the organization the speed of AI without the liability of unmanaged AI risk.
You're getting findings for AI workloads you can't contextualize. Wallarm puts them on a topology graph with full runtime context, and enforces before the next finding becomes a breach.
August 2026 enforcement is close. Walk into your EU AI Act audit with a continuously generated, defensible record — not a spreadsheet built from CloudTrail logs the week before.