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Add a CTRLRun step to your GitHub Actions CI to enforce runtime policies, produce per-run audit logs, and restrict agent tool access. Includes a simple config and rollout checklist.
Guide to Factlabel: an open-source 'nutrition label' that audits AI-generated claims, verifies linked sources, returns human-readable labels, and can block unsupported assertions.
Build an auditable trail for AI agents: sign and chain every log entry, store append-only, and publish independent anchors. Learn what signatures prove — and where gaps remain.
9,840 LLM-to-LLM procurement negotiations show capability, provider identity, and prompted strategic patience drive surplus division and irrational acceptances; includes practical audit checks.
Orka is an open-source pre-execution checkpoint that vets agent actions (allow/deny/confirm) to stop runaway loops, limit costs, and create an auditable record.
Build a small webhook 'gate' that intercepts AI agent calls to Zapier, pauses risky automations for human approval, records immutable audit logs, and applies a decision table.
Akmon provides a tamper‑evident evidence layer so you can sign an AI agent session (JSON + detached signature) and verify its integrity offline using only OpenSSL.
A hands-on checklist to make AI agents auditable and controllable: short-lived per-instance credentials, chain-of-custody logs, and an external policy gate for tool calls.
A practical guide to spot subtle AI nudges—run a 30–120 minute audit, add provenance labels and a confirmation tap, then roll changes in a 5–20% canary with clear abort rules.
Hands-on guide to STACK, a control plane that gives agents cryptographic passports, KMS-encrypted credentials, and detectors that can revoke access and produce a hash-chained audit trail.
Actionable playbook, inspired by Valerie Veatch's Verge reporting, that shows small teams how to audit, block, and monitor racist or sexist outputs from text-to-image/video models.