Start
OpenClaw 2026
Measured stop, approval, destructive-action, and evidence behavior in a controlled run.
Independent research and operating notes on AI agent governance.
CAISI / Role Paths
CAISI content is organized by evidence, but most readers arrive by responsibility. Use these paths to get the right report, operating notes, and next step without browsing the whole library.
AppSec
AppSec usually needs to know whether an agentic system can change real state, whether the boundary actually holds, and what evidence survives review or incident reconstruction.
Start
Measured stop, approval, destructive-action, and evidence behavior in a controlled run.
Then
Scenario, efficacy, proof, and pilot language for buyer-grade security review.
Next action
Translate the report into the approval and evidence questions AppSec should require.
CISO
CISOs need a defensible answer to what is approved, what is unknown, what evidence exists, and what should be reported without overstating runtime certainty.
Start
Public-artifact evidence for visibility, approval opacity, and proof quality.
Then
Read the headline ratio as a governance signal, not a panic statistic.
Next action
Turn approval posture into sanctioned paths, standards, and staged rollout decisions.
Platform security
Platform security owns the reusable controls: repo contracts, work-state orchestration, execution boundaries, validation, and proof packets that let autonomy scale without becoming opaque.
Start
The framework path for repo contracts, orchestration, isolation, evaluation, and maturity.
Then
The standards layer before AI delivery workflows can widen responsibly.
Next action
Use the implementation context for runtime policy, signed traces, and CI regressions.