AI Security Playbooks

Practical, field-tested guidance for securing agentic workflows, MCP toolchains, and AI-enabled browser automation.

Mechanism:
On-device agent intercepts AI activity before it leaves the endpoint.
Privacy:
Detections and policy decisions stay within your organization.
Agentic Browser

Agentic Browser Security Playbook

Protect against prompt injection, cross-site actions, and data leakage in AI browser agents.

View Playbook
MCP

MCP Security Playbook

Control tool poisoning, prompt injection, and data exfiltration across MCP toolchains.

View Playbook
CI/CD

Agentic CI/CD Security Playbook

Prevent prompt injection and secret leakage in AI-driven build and deployment workflows.

View Playbook

Need Help Implementing These Controls?

AARSM helps security teams deploy runtime guardrails for AI agents and tools.