01Observe
Intent received
See the action in context
Resolve the agent, tool, runtime, requested scope, and destination before execution begins.
Continue through the pathProof-of-Intent Infrastructure
Govern AI agentsbefore they execute.
Convert agent intent into policy decisions, human approvals, Flight Recorder evidence, and kernel-observed runtime facts.
AGENT REGISTRYMCP POLICYSHADOW RUNSRUNTIME EVIDENCEROLLBACKHASH-CHAIN AUDITCONTROL EVIDENCEFINOPSDLPAGENT REGISTRYMCP POLICYSHADOW RUNSRUNTIME EVIDENCEROLLBACKHASH-CHAIN AUDITCONTROL EVIDENCEFINOPSDLPAGENT REGISTRYMCP POLICYSHADOW RUNSRUNTIME EVIDENCEROLLBACKHASH-CHAIN AUDITCONTROL EVIDENCEFINOPSDLP
locked
rogue action
blast radius
approval gate
locked
policy record
identity trail
audit hash
locked
MCP
collector
Linux
locked
budget
DLP
breaker
Built For Security Teams
One buyer journey from policy to proof.
CISO
Gate untrusted agent actions before sensitive impact.
Risk Leaders
Review evidence packages tied to policy, identity, and hash-chain verification.
Platform Security
Separate SDK claims from runtime facts with collector-backed evidence.
FinOps
Cap spend, block leaks, and trip circuit breakers early.
The control path
Three steps to governed execution.
02Enforce
Decision issued
Apply policy before impact
Allow, review, or block the request using identity, risk, approval, and data-handling controls.
Continue through the path03Prove
Evidence sealed
Keep the decision trail
Preserve policy outcomes, approval context, runtime observations, and verification metadata.
Continue through the pathBEFORE EXECUTIONGovern intent.
Govern intent.
Verify execution.
Runtime policy
Rollback tokens
Hash-chain audit
COMPILING
1{
2"agent_id": "procurement-agent",
3"runtime": "mcp/docker",
4"risk_level": "high",
5"shadow_execution": true,
6"rollback_token": "rtk_8f42",
7"controls": {
8"dlp": "policy_checked",
9"runtime_evidence": "collector_required",
10"audit": "hash_chained",
11}
12}
13
Intercept
Action path
RegisterGovernObserveVerify
agent registeredpass
policy pack selectedpass
action governedpass
Simulate
Queue triaged
12Kubernetes scale requestreviewed
Postgres migrationreview
Finance transfer actionblocked
Vendor data exportdlp
Reviewed before impact
Prove
Control proof
verifiedproof
Policyenforced
Runtimecontained
Auditsealed
OUR POSITION
Agents should never execute unchecked.
#1
Agents are never trusted by default.
#2
Execution is gated before impact.
#3
Evidence must survive audit.
Evidence contractProve what happened before anyone calls it production.
Sernixa turns each agent action into a clear contract: the claimed intent, the approval boundary, and the runtime evidence are kept separate and reviewable.
Demo claims
Repo validated
Runtime facts
Collector backed
Production mode
Fails closed
Proof handoff
Claim to evidence
1
Intent packet
Signed claimAgent, tool, policy, and requested action are captured before the run is allowed to move.
2
Human boundary
Approval heldHigh-impact actions pause at the buyer-defined approval boundary instead of relying on demo trust.
3
Runtime proof
Verified trailFlight Recorder evidence separates repo-validated demo behavior from production runtime facts.
Guardrails filter what an LLM says; Sernixa governs what an agent does. While prompt filters prevent bad output, our governance layer intercepts actual tool execution—meaning we can block a rogue agent from making a production API call before the damage is done.
Start governing your AI agents today.
Deploy the enterprise trust layer in minutes. No credit card required.