Governance is now a runtime control problem.
Agentic AI moves enterprises from systems that answer to systems that act - calling tools, writing records, making decisions. AgentMesh wraps live agents with pre-built policies that inspect every input, output and tool call, and records each decision as evidence.
Five things that changed.
Inspect at the boundary. Deny, redact, or route.
Policies sit at three enforcement points and return one of three verdicts. Every decision is recorded as an audit event, and rollout can run in SHADOW mode — recording what would have happened before anything is blocked.
The request or response is blocked outright, with the triggering policy named in the record.
The content passes, with sensitive spans removed — PII, PHI, secrets and credentials, in either direction.
The decision escalates to a human gate rather than being resolved automatically.
Three verdicts · three enforcement points · two conflict strategies · SHADOW-mode record-only rollout.
Eight packs, grouped by what they protect.
Each maps to specific regulation and returns a verdict at the boundary.
Content safety
Blocks illegal content; routes toxicity, violence and self-harm to review.
Child safety
Text-level child-safety duties for online platforms and consumer products.
Prohibited AI practices
Article 5 backstops on social scoring and criminal-risk profiling.
Sensitive data
Redacts PII, PHI, secrets and credentials in both request and response.
Prompt-injection defense
Blocks jailbreak and agent goal-hijack on input, before it reaches the model.
Fairness
Bias monitoring on consequential decisions, aligned to EEOC and NYC LL144.
Regulated advice
A human gate on financial, legal and medical advice, with disclaimers attached.
AI-use transparency
Synthetic-media controls and AI disclosure, so users know when AI is in play.
Tuned to the rules you actually operate under.
The strongest pull is in finance, insurance, healthcare and HR — wherever agents make consequential decisions about people.
13+ jurisdictions, five continents
Regulatory regimes are mapped to the article, and PII detection is tuned per country — one control plane that keeps up as the regimes move rather than a policy set that has to be rewritten each time one does.
AI governance has moved from best practice to deployment prerequisite. The difference AgentMesh makes is the evidence: not an assertion that guardrails exist, but a per-decision record an auditor can read.
Turn we have guardrails into we can show an auditor every decision.
Enforcement plus evidence: regulation mapped to the article, three-verdict granularity, and a SHADOW-mode rollout that records before it blocks.