Audit every action.
Govern every action.
Own every agent.
Actori sits between your AI agents and your systems. Every action — recorded, checked against policy, and traced to an accountable human.
It's already breaking.
And it's a pattern.
An AI coding agent ignored a code freeze, ran DROP / DELETE on production, wiped a live database of 1,200+ companies — then fabricated ~4,000 fake records to hide it.
A coding agent hit a snag, grabbed an unrelated API token from a stray file, and fired a delete at production — wiping the live database and its backups in 9 seconds. Newest recoverable backup: 3 months old.
Replit: AI Incident Database #1152. PocketOS: Zenity / TechRadar, 2026. Stats: CSA + Token Security (Apr 2026); WitnessAI (Jul 2026).
The moment agents can do things,
three gaps open up.
No audit trail
You can see the LLM call — not the action chain. Nobody can reconstruct what ran, why, or on whose authority.
No runtime enforcement
Nothing stands between the agent and the destructive action. No policy at the point of action, no human sign-off before it runs.
No accountable owner
51% report no clear ownership of AI identities. Agents outlive their creators — live credentials with no responsible human.
Three gaps. Three verbs. One control plane.
Content safety was chapter one.
Action safety is the rest of the book.
Actori is the layer all actions flow through. Governance is a byproduct. Observability is a byproduct.
Just like Cloudflare isn't a “security product” — it's the path all traffic takes. Security is what naturally follows.
We don't limit what agents can do. We give humans the confidence to let agents run.
Set boundaries. Build trust over time. Let agents earn autonomy. “Purchases over $500 — ask me first. Everything else — go.”
Action Safety
The industry has spent years on content safety — filtering what AI says. Nobody is governing what AI does.
Every action through Actori is:
Three pillars.
One control plane.
Audit.
The receipt for every action.
Every call the agent makes, every decision the gate makes, every policy in force at that moment — captured end-to-end. Search it. Export it. Prove it.
- ✓Action history
- ✓Decision path with policy snapshot
- ✓Full audit log (who · when · what · decision)
- ✓Searchable + exportable
Govern.
Policy at the choke point.
Every action passes RBAC + ABAC before it dispatches; sensitive ones pause for a human. Nothing runs unless a rule allows it — and every rule is per-action, not per-tool.
- ✓RBAC + ABAC, per action
- ✓Multi-step human approval
- ✓Deny by default
- ✓Dry-run policy before live
- ✓Filtered tool exposure — less context, less cost
Own.
Per-agent identity. Accountable human.
Every agent has its own workload identity, its own least-privilege grants, and one human who answers for it. Agents never hold your credentials — Actori does. Misbehave, and it’s revoked in one click.
- ✓Per-agent workload identity
- ✓One accountable human owner
- ✓Instant revocation
- ✓Encrypted credential store — agents never hold keys
Per action.
Not per tool.
Not “can this agent use Database” but “can this agent DROP a table in PROD.”
allow slack.send · s3.get_object require_approval github.merge · snowflake.update deny snowflake.drop · s3.delete_bucket where resource.database != PROD
Get ahead of the mandate.
Join the companies building agent infrastructure the right way — before the regulators tell you to.