Skip to content

Why Sealr

Agents no longer suggest. They execute.

SQL against production databases, Terraform plans applied, pushes to protected branches, internal tool calls over MCP. Three gaps open up immediately: no record that holds up, no deterministic brake, and a regulatory calendar that is already set.

The reality

What is missing the moment an agent executes

These are not the usual security problems. They are three absences: of a record you can stand behind, of a deterministic decision before execution, and of regulatory room to maneuver.

01

No record that holds up

Application logs are mutable, incomplete and scattered. When an agent deletes data or breaks infrastructure, no one can establish — for a CISO, an auditor or opposing counsel — what was actually executed, under which policy, approved by whom. A log index is not evidence.

02

No deterministic brake

Guardrails today are mostly instructions handed to the model. Nothing reads the DELETE actually submitted, counts the deletions in the Terraform plan, or blocks the force-push — before execution, in milliseconds, regardless of what the model intended.

03

A regulatory clock

The EU AI Act imposes record-keeping duties and at least six months of log retention for deployers. Directive (EU) 2024/2853 on product liability applies to products placed on the market from 9 December 2026, with strict liability and evidence-disclosure mechanics. NIS2 and DORA demand incident evidence on tight deadlines.

Where Sealr sits

Above the posture layer, below the model layer

Adjacent categories do their job, and Sealr does not replace them. A posture product tells you which agent identities exist; Sealr proves what they did and stops the worst of it. Here is what falls outside their scope, and what Sealr takes on.

What adjacent categories do not cover

  • Non-human identity posture — inventory, owners, secret lifecycle: valuable work, but done out of band, where the operation itself is never seen.
  • Cloud-native agent platforms — identity, gateway, sandbox: strong inside that cloud, silent everywhere else.
  • Prompt security and model input/output filtering: the text gets inspected, not the operation heading for production.
  • Agent observability: traces built for debugging, not to be held up against a third party.
  • Human and infrastructure access recording (SSH, Kubernetes, databases): the agent action layer sits outside it.

Sealr

  • The Recorder sits in the execution path — MCP proxy, agent hooks, CLI wrapper — and every intercepted operation enters a signed evidence stream.
  • Neutral, cross-platform, operated in the EU. In the hybrid model the Ledger stays in your own infrastructure: we never see your payloads.
  • SQL Guard, Terraform Guard and Git Guard parse the operation itself: real PostgreSQL grammar, Terraform plan JSON, git arguments.
  • Hash-chained stream, signed checkpoints, RFC 3161 anchoring and a daily eIDAS qualified timestamp.
  • That layer is exactly the scope: MCP tool calls, hooks, wrapped commands, each with an ALLOW, WARN, REQUIRE_APPROVAL or BLOCK verdict.

Our principles

Three convictions that hold the product together

Observe before you brake

Every resource starts in observe mode: verdicts are computed and recorded, never enforced. You first see what your agents actually execute, then decide what deserves an approval step or a block.

Deterministic over probabilistic

No model in the decision path. Guards read the operation with real grammars — DELETE without WHERE, terraform destroy, force-push to a protected branch — and return a local verdict in single-digit milliseconds. The verdict and the human approval become evidence in turn.

Verifiable without us

The evidence format and the sealr-verify verifier are open: an auditor who does not trust us can check an Seal bundle offline. With one limit stated plainly: our records make tampering detectable, which is not the same as impossible, and they say nothing about what was never recorded. Coverage is a property of your deployment.

Want to see what that looks like in practice? Explore the platform →

The findings, written by your own traffic

The Recorder installs in observe mode in about thirty seconds, with no change to your agents. Thirty days later, the Exposure Report shows how many operations were executed, how many were destructive against production, how many should have required approval, and how many trace back to no human principal at all.