ai-agent-compliance-controls

Solid

Use when mapping AI agent operations to SOC 2, ISO 27001, HIPAA, audit logs, control testing, attestations, and compliance evidence.

AI & Automation 25 stars 6 forks Updated 3 days ago MIT

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Quality Score: 85/100

Stars 20%
47
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# AI Agent Compliance Controls ## Operating contract ## Inputs | Input | Required | Purpose | |---|---|---| | Domain evidence | yes | system boundary, applicable frameworks, data classes, control owners, agent actions, and available evidence | ## Outputs - Produce: control matrix, test procedures, exceptions, evidence index, and remediation owners. ## Capability and permission boundaries Default to read-only analysis. Read only scoped records; redact secrets and regulated data. Writes, execution, network calls, production configuration, customer communication, billing changes, and delegation require explicit authority and an identified owner. Never widen tenant, time-window, or system scope implicitly. ## Degraded mode When required telemetry, evidence, execution, network access, or write authority is unavailable, return a partial result with each unassessed item labelled, preserve the safest existing state, and state the evidence or approval needed to continue. Never convert missing evidence into a pass. ## Decision rules | Condition | Action | |---|---| | Scope, owner, or threshold is missing | Stop the affected decision and request it | | Evidence is incomplete but read-only analysis is safe | Produce a qualified partial result and gap list | | A mutation exceeds authority or tenant boundary | Block it and route for approval | | Evidence meets the stated threshold | Issue the output with provenance and owner | ## Anti-Patterns - Treating absent evidence as suc...

Details

Author
peterbamuhigire
Repository
peterbamuhigire/chwezi-dev-engine
Created
7 months ago
Last Updated
3 days ago
Language
HTML
License
MIT

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