BasicAgent

AI Security Policy

An AI security policy template for LLM and ML systems with controls, monitoring, and incident response.

An AI security policy defines the controls required to protect AI systems and the data they touch.

Policy sections

access control and secrets handling
prompt injection defenses
data redaction and retention
monitoring, alerts, and incident response

Evidence to keep

audit logs with run IDs
security evaluation results
incident and remediation records

LLM security: /llm-security/
AI governance framework: /ai-governance-framework/
AI risk management: /ai-risk-management/

Create account

Build narrative

Follow a coherent path from thesis to lab notes to proof-of-work instead of isolated pages.

Intelligence systems office

The strategic map for what is being built and why.

Build footprints and progression logs as proof-of-work.

Control surface

Governance and monitoring architecture for operational reliability.

Private alignment

Convert insight into execution with scoped collaboration.