Conduct Registry

Browse the Conduct Registry.

Playbooks are how Guard responds: incident response, approved production changes, and remediation. Every playbook combines a brain block for reasoning, a guard block for policy enforcement, approval gates for consequential actions, and hash-chained evidence for every decision.

Compliance packs

5 shipped

Pre-built rule sets, one per compliance standard. Each pack is enforced by the same Guard engine that runs your custom policies.

OWASP LLM Top 10

Rule set for OWASP LLM security categories — insecure output handling, model DoS, and related risks.

Enforced
SOC 2

Hook-scoped rules that fire on file edits and writes for SOC 2 Trust Services Criteria.

Enforced
HIPAA

45 CFR §164.312 Technical Safeguards — access controls and transmission security.

Enforced
PCI DSS v4.0

Requirements 3.3.1 and 3.3.2 — mask PANs, avoid storing sensitive authentication data.

Enforced
Prompt Safety

Detection pack for common LLM prompt patterns that indicate untrusted or adversarial input.

Enforced

20

Shipped playbooks

15

Compliance packs

6

BYO gateway adapters

3

Enforcement surfaces

What every playbook is made of

Playbooks are not scripts. They are structured compositions of typed blocks. The same block types appear across every playbook — which means policy, approval, and evidence are never bolt-ons.

Brain

Reasoning step. Reads context, decides what to do next. One brain per decision boundary.

Guard

Policy check. Every action that touches an external system passes through a guard block before it executes.

Approval

Human-in-the-loop gate. Pauses the run and routes to Slack or Lens until a human decides.

Evidence

Hash-chained receipt for every decision in the run. Replay any action, answer any auditor.

Incident Response

3 playbooks
Incident

incident-responder

Triages on-call alerts, collects context, and pages the right owner. Guard checks before any action.

trigger→brain→guard→approval→output
Incident

postmortem-drafter

Drafts a structured postmortem from incident timeline and Slack threads.

trigger→brain→guard→output
Incident

ai-incident-drill

Runs a synthetic incident scenario to test your response runbook.

trigger→brain→guard→output

Security

4 playbooks
Security

ai-risk-assessment

Assesses AI-generated code for risk patterns mapped to the OWASP Agentic Top 10.

trigger→brain→guard→output
Security

thirdparty-autopilot-fix

Autopilot that triages and fixes issues surfaced by third-party security scanners.

trigger→brain→guard→approval→output
Security

compromised-support-agent

Demo: a support agent hit by prompt injection tries credential harvest and exfil. Guard blocks each attempt; the agent falls back to a safe escalation.

trigger→brain→guard→output
Security

nemo-guardrails-demo

Demo: a NeMo-style input rail calls Guard, which blocks a prompt-injection payload with a rule ID and writes a hash-chained audit row.

trigger→guard→output

Governed Changes

4 playbooks
CI / CD

release-gating

Holds a release until Guard clears all policy checks and a human approves.

trigger→brain→guard→approval→output
CI / CD

dependency-updater

Opens PRs for outdated dependencies; Guard blocks known-vulnerable versions.

trigger→tool→guard→output
CI / CD

multi-env-smoke-test

Fans smoke tests across staging and production in parallel.

trigger→tool→guard→output
CI / CD

security-patch-updater

Automatically applies security patches and routes high-severity changes to human approval.

trigger→tool→guard→approval→output

Monitoring & Observability

4 playbooks
Monitoring

network-diagnosis-agent

Diagnoses network degradation by correlating logs and metrics across infrastructure.

trigger→tool→brain→guard→output
Monitoring

codebase-guard-monitor

Monitors Guard activity across your codebase; surfaces policy-coverage gaps.

trigger→tool→guard→output
Monitoring

ai-drift-detector

Detects when AI-generated code diverges from established team patterns.

trigger→brain→guard→output
Monitoring

ai-output-auditor

Audits a sample of AI completions for quality, accuracy, and policy compliance.

trigger→brain→guard→output

Change Review

1 playbooks
Code Review

terraform-reviewer

Static analysis plus Guard policy check on every Terraform plan before apply.

trigger→brain→guard→approval→output

Autopilot & Demos

4 playbooks
Onboarding

self-driving-network-approval-demo

Demo playbook: network change requires human approval via Slack before Guard allows.

trigger→brain→guard→approval→output
Onboarding

base-autopilot

Reference autopilot skeleton — extend with domain-specific brain and guard blocks.

trigger→brain→guard→output
Onboarding

autopilot

Full autopilot reference — brain-guided loop with Guard on every action and approval gates.

trigger→brain→guard→approval→output
Onboarding

autopilot-approved

Autopilot variant where every action requires explicit human approval.

trigger→brain→guard→approval→output

Cross-agent extension

The same playbook runs across any agent surface.

Install a playbook once. It governs Claude Code, Cursor, Codex, and custom agents through the same policy engine. No per-tool configuration. No parallel audit trails.

Lens

“Ask Lens: ‘which playbooks ran this week?’”

Coming — Design Partner Preview

Operations will extend the playbook runtime to correlate events across external systems — letting Guard decisions account for what happened before this action, not just the action itself. Available to design partners first.

Every pack runs under Guard enforcement.

Policies apply instantly — no registry.

Step 1

Choose a pack

Browse compliance packs or automation playbooks.

Step 2

Inspect every rule

YAML in the repository. No black-box engine.

Step 3

Install to workspace

One click. Rules apply to every agent surface.

Step 4

Guard enforces

Every decision hash-chained. Every action inspectable.

Start with Discovery. Add playbooks as you go.

Discovery maps what your agents are doing today. Playbooks extend that into governed, repeatable automation — with policy at every step.

Registry — Conduct | ConductAI