Runtime AI governance for agentic systems — eight regulation-mapped policy packs that block, redact, and route at the moment of risk. Every decision recorded as an OpenTelemetry audit span.
The EU AI Act imposes penalties of up to €35M or 7% of global turnover for prohibited AI practices — enforceable since February 2025 — plus €15M or 3% for high-risk failures, ceilings that exceed GDPR's own €20M or 4%. Stack HIPAA, PCI-DSS, and a widening net of US state and global penalties on top, and a single unchecked agent — one biased decision, one leaked record, one harmful output — becomes a compounding, multi-jurisdiction liability. Enforcement has already begun.
AgentMesh wraps live AI agents with pre-built governance policies that inspect every input, output, and tool call — then deny, redact, or route to a human.
3 verdicts · 3 enforcement points · 2 conflict strategies · SHADOW-mode record-only rollout.
Policies sit at three enforcement points and return one of three verdicts — every decision recorded as an audit span. Roll out in SHADOW mode first to observe without blocking.
Agentic AI moves enterprises from systems that answer to systems that act — calling tools, writing records, and making consequential decisions. That shift turns governance from a policy document into a runtime control problem, exactly as regulators are making it mandatory.
EU AI Act bans on prohibited practices have applied since February 2025, with fines up to €35M or 7% of global turnover. High-risk duties — risk management, logging, human oversight — phase in across 2026–2027. Deploying without controls is a measurable liability.
EU AI Act · liveUnlike chatbots, agents call tools, write data, and make decisions. Prompt injection and goal hijack (OWASP LLM01 / ASI-01) become operational threats — an over-trusted agent can leak data or fire an unsafe action on its own. Controls must sit at the input, the output, and the tool boundary.
OWASP LLM01 / ASI-01Regulators, SOC2 / ISO auditors, and enterprise procurement now demand evidence of controls. A decision-level audit trail is the difference between asserting compliance and proving it during an audit or incident.
SOC2 / ISO evidencePII, PHI, and secrets routinely escape through prompts and responses (OWASP LLM06), each exposure carrying GDPR / HIPAA penalties and breach-notification cost. Redaction at the boundary is table stakes.
OWASP LLM06A multinational must satisfy the EU, a patchwork of US state rules (NYC LL144 bias audits; California and Colorado disclosure regimes), and APAC laws at once — a target that keeps moving. Adaptable runtime controls plus an audit trail beat point solutions hardcoded to one law.
13+ jurisdictionsEach pack maps to specific regulation and returns one of three verdicts at the boundary. Cross-cutting packs apply to any enterprise deploying agentic AI.
Blocks illegal content; routes toxicity, violence, and self-harm to review.
Maps to EU AI Act Art.5Text-level child-safety duties for online platforms and consumer products.
Online platform dutiesArt.5 backstops on social scoring and criminal-risk profiling.
Maps to EU AI Act Art.5Redacts PII / PHI and secrets / credentials in both request and response.
GDPR · HIPAA · PCI-DSSBlocks jailbreak and agent goal-hijack on input before it reaches the model.
OWASP LLM01 / ASI-01Bias monitoring on consequential decisions, aligned to EEOC and NYC LL144.
EEOC · NYC LL144A human gate on financial, legal, and medical advice — with disclaimers.
Sector conduct rulesSynthetic-media controls and AI-disclosure so users know when AI is in play.
Synthetic-media disclosureThe strongest pull is in finance, insurance, healthcare, and HR — wherever agents make consequential decisions under regulatory scrutiny.
Regulated-advice routing and disclaimers; payment-card (PCI-DSS) redaction.
Bias monitoring and decision oversight aligned to NAIC model conduct.
PHI redaction (HIPAA); medical-advice oversight and human review.
Legal-advice routing with human review and disclaimer.
Bias signal plus a human gate on consequential decisions (EEOC, NYC LL144, state ADMT laws).
Text-level child-safety duties; AI-disclosure for synthetic media.
Regulatory regimes mapped to the article, plus PII detection tuned per country — one control plane that keeps pace with a moving target.
AI governance has moved from best practice to deployment prerequisite. Under the EU AI Act, prohibited-practice violations already carry fines up to €35M or 7% of global turnover — and agents that act, not just answer, put that exposure into production. The question is no longer whether to govern AI, but whether you can prove you did.
Enforcement plus evidence — regulation mapped to the article, three-verdict granularity, SHADOW-mode rollout, and an OTEL audit trail that proves every decision.