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Solution · Govern

Govern.

Audit-ready, every day. Not assembled the week before.
EU AI Act enforcement starts in August 2026. SOC 2 audits scope AI workloads. Boards ask for AI risk reporting. Today, the evidence is assembled from spreadsheets, CloudTrail queries, and stale inventories in the days before each review. Wallarm produces the evidence continuously. AI inventory, coverage heatmap, session audit logs, sensitive data flow records, supply chain inventory. Generated from live cluster state. Defensible at any time.

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EU AI Act · SOC 2
HIPAA · PCI · NIST AI RMF
Live cluster state
The Problem

Governance debt accumulates
while the audit clock runs.

Three forces converging on the CIO who has no continuous answer.
EU AI Act Enforcement

Aug 2026

Penalties up to 3% of global annual revenue. Scope: every AI system that touches the EU market or EU data.
Source: EU Artificial Intelligence Act, Regulation (EU) 2024/1689, Art. 99
Mature Agentic AI Governance

20%

Only one in five companies has a mature governance model for autonomous AI agents. Most are deploying systems they cannot fully account for.
Source: Deloitte, State of AI in the Enterprise 2026
AI · Fastest-Growing Risk

87%

Of security leaders identify AI-related vulnerabilities as the fastest-growing cyber risk (World Economic Forum). The board has heard the number. They're asking the CIO what changed.
Source: World Economic Forum, Global Cybersecurity Outlook 2026
Outcomes

What changes with Wallarm.

Walk into the audit with evidence that already exists

EU AI Act, SOC 2, HIPAA, PCI DSS, and NIST AI RMF artifacts are generated continuously from live cluster and cloud state. The compliance officer hands the auditor a defensible record, not a document built last week.

Prove what sensitive data left, and where

A continuously-updated record of PII detections, canary token trips, and data flows across AI pipelines. When the auditor or the regulator asks "did customer data leave for an external model?", the answer is a query, not an investigation.

A board-level view of AI coverage and risk

Coverage heatmap across asset domains and stack layers. Risk matrix. Supply chain inventory with CVE enrichment. The CIO answers "is AI under control?" with a chart, not a memo.

Policy decisions on the record, automatically

Every guardrail block, every finding suppression, every policy triage decision is logged with the policy name, the asset affected, the original and new severity, and the reason. Future reviewers see why a finding is in its current state.
Capabilities

How Wallarm does it.

1
Compliance report

Continuous compliance report

An export-ready snapshot of asset inventory, guardrail coverage, policy adherence, and certification status, generated from live cluster state. Available on demand. Refreshed whenever the underlying data changes.
AI Hypervisor  →
2
AI Inventory

AI-SBOM with CVE enrichment

A bill of AI materials per asset: libraries, packages, model dependencies, license status. Background enrichment with CVE data from OSV. Unsafe Python pickle deserialization is flagged automatically. The supply chain answer is a live document.
AI Hypervisor →
3
Heatmaps

Coverage and risk heatmaps

Risk matrix across asset domains. Full-stack heatmap across infrastructure layers and security domains. Drill-down to the component triggering the gap. Auditors get evidence. The board gets the data it needs.
AI Hypervisor →
4
Data lineage

Sensitive data and canary lineage

Data Tracks visualizes PII record flow and canary token propagation across agents, tools, and providers. Every detection is timestamped, attributed, and tied to the originating session. The "did data leave?" question has a recorded answer.
AI Hypervisor →
5
Session audit

Session audit logs and Debugger

Per-session timelines record agent steps, model calls, tool invocations, PII detections, guardrail events, and policy blocks. The Debugger steps through any session that tripped a guardrail. Incident response and audit work from the same source.
AI Hypervisor →
6
Triage log

Policy and triage audit log

Every action a suppression policy takes against a finding is recorded: policy name, finding rule, asset, severity before and after, reason. Customer-authored rules in Common Expression Language extend the platform without forking it. Every triage decision is on the record.
AI Hypervisor →
The AI Control Loop

Discover. Observe. Enforce. Govern.

Not four separate products. One platform, one continuous loop where each step feeds the next automatically.

Discover

Find every AI workload, every API, every cloud asset across your estate.
Read More →

Observe

See what the AI is actually doing at runtime, attributed back to the user.
Read More →

Enforce

Stop AI behavior that violates policy. Block at the connection level.
Read More →

Govern

You Are Here
Produce continuous, audit-ready evidence that AI is under control.
GET A DEMO

Ready to walk into the audit
with evidence already in hand?

"Wallarm really protects our service and provides good visibility and user-friendly control."
Anton Bulavin · Head of Application Security
Get A Demo
Audit artifacts generated from live state. SOC 2, EU AI Act, HIPAA, PCI DSS, NIST AI RMF.