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Closed Loop AI Security for AWS.

Govern AI in production with a closed loop that runs natively inside your AWS environment — making every AWS security service measurably more effective. 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.
Map every AWS account, region, and AI workload — automatically.
See what your AI is doing at runtime, no application code changes.
Make Amazon GuardDuty, AWS Security Hub, and AWS IAM Access Analyzer findings actionable.
The Closed Loop

AI security in production is four jobs that must work together.

The AI Control Platform is not a product suite. It's a control loop with four pillars. Each pillar was designed to map to capabilities your AWS-native services activate - making every AWS security service measurably more effective.
1
Discover

Map every AI workload.

"We don't know what AI is running."
Cross-account IAM role assumption scans every AWS account, every region. Auto-discovers MCP servers, agent frameworks, vector databases, and model provider calls from runtime behavior.
AWS services activated
AWS Organizations · AWS CloudTrail · AWS VPC Traffic Mirroring · AWS Systems Manager
2
ObserVe

See what your AI is doing.

"GuardDuty fired — but what was the agent doing?"
Every outbound connection — LLM calls, S3, internal APIs, databases — attributed back to the user or session that triggered it, across service hops. AWS findings land on the relationship graph with full behavioral context.
AWS services activated
AWS Security Hub · AMAZON GuardDuty · AWS IAM Access Analyzer · AMAZON Macie
3
Enforce

Stop bad AI behavior in real time.

"We can't contain a jailbroken agent fast enough."
Block outbound LLM calls on pattern-match rules at the egress boundary. Revoke compromised sessions by user identity or trace ID. The eBPF layer terminates active connections at the kernel — no pod restart, no deploy cycle.
AWS services activated
AMAZON EKS · Gateway Load Balancer · AMAZON VPC · AWS Secrets Manager
4
Govern

Prove AI is under control.

"We can't evidence AI governance for the audit."
Evidence generated continuously: AI-SBOM, coverage heatmap, session audit logs, sensitive data flow records, supply chain inventory. CloudTrail attribution lands on every asset. Audit-ready at any time.
AWS services activated
AWS Security Hub · AWS CloudTrail · AMAZON Inspector · AWS Config
Where It Runs

The Architecture. Native on AWS.

Three products, one closed loop. Discovery components run from Wallarm's AWS-hosted infrastructure. Enforcement runs inside your environment on Amazon EKS, with no traffic leaving your boundary.

AI Hypervisor

Deploys as a Kubernetes DaemonSet on Amazon EKS. Kernel-level via eBPF. No code changes, no sidecars, no service mesh required.
60 Seconds to Deploy
Kernel-Level · eBPF
Zero Agent Footprint

Infrastructure Discovery

Connects via cross-account IAM. Reads your AWS estate continuously. No per-account credentials stored, no agents to roll out.
Agentless · Cross-Account
IAM Role Assumption
Continuous Scanning

API Security

Deploys at your load balancer or ingress. The same engine that protects thousands of APIs across the world. Real-time detection and blocking.
Load Balancer Native
Ingress Controller Ready
Real-Time Enforcement
What each side brings

Closed Loop AI Security for AWS.

AWS provides the infrastructure, the scale, and the most comprehensive native security tooling in any cloud. Wallarm adds the runtime behavioral layer those services were never designed to see — making every AWS security investment measurably more effective.
Foundation
-

AWS

Infrastructure, scale, and native cloud security.
AMAZON GuardDuty — threat detection across accounts.
AWS IAM Access Analyzer — surfaces over-permissioned roles.
AWS Security Hub — aggregates findings across services.
AMAZON Inspector — identifies CVEs across workloads.
AMAZON Macie — discovers sensitive data at rest.
AWS Organizations + AWS CloudTrail - multi-account governance and audit trail.
AMAZON EKS, AWS Lambda, AMAZON Bedrock, API Gateway — the platforms AI runs on.
+
Runtime Layer
-

Wallarm

The closed loop that makes AWS security complete.
Cross-account AI discovery — every account, every region, every workload.
Runtime behavioral visibility — what agents are actually doing, with user attribution.
Inline enforcement — block, revoke, and contain at the kernel.
Continuous evidence — AI-SBOM, audit logs, sensitive data flow records.
Findings made actionable — GuardDuty, IAM Analyzer, Security Hub, Inspector, Macie placed on a live relationship graph.
API security + AI security in one closed loop — one procurement decision, one expansion path.
60-second deploy — zero application code changes, zero traffic leaves your boundary.
Validated by AWS

An AWS Security Competency Partner.

Security Competency · Validated

Validated against AWS's framework for production-grade security partners.

Wallarm has achieved AWS Security Competency designation, validating our ability to deliver security on AWS against the criteria AWS uses to qualify production-grade partners.
Wallarm + AWS resources

Get the proof, plan the rollout.

Data sheet · PDF

Wallarm AI Control Platform on AWS

Architecture, AWS services activated, deployment model, and the closed loop.
Solution Brief · PDF

Securing AI on AWS — The Closed Loop

How Discover, Observe, Enforce, and Govern map to AWS-native services and close the runtime AI gap.
Report · PDF

Wallarm AI & API ThreatStats 2026

The annual benchmark on agentic AI risk, API threats, and what enterprise security teams are seeing in production.
Ready for your next step?

Govern AI on AWS — close the loop in 60 seconds.

See Wallarm AI Control Platform on AWS in a 20-minute personalized walkthrough. Discovery, runtime observation, inline enforcement, and audit-ready evidence — all running natively inside your AWS environment.