Skyrelis Playbook Series

    AI Visibility and Control Playbook

    A practical, chapter-by-chapter guide to seeing, governing, and securing autonomous AI in the enterprise.

    01

    Runtime Security for AI Agents

    Govern autonomous actions. Enforce policy at machine speed.

    Read chapter →
    02

    Application-Level vs Organizational AI Agent Security

    Why app-level controls alone aren't enough. Build governance that composes across your agent fleet.

    Read chapter →
    03

    OWASP Top 10 for Agentic Applications: What to Do Now

    The Dec 2025 OWASP framework for agentic AI risks (ASI01–ASI10) — what each one means and where to start.

    Read chapter →
    04

    AI Agent Guardrails Before Production

    Input validation, tool scope, runtime enforcement, and human oversight — the four layers every agent needs before it ships.

    Read chapter →
    05

    Stop Prompt Injection in Agentic AI

    Defend agents against direct and indirect prompt injection with provenance-aware trust boundaries and runtime action controls.

    Read chapter →
    06

    Least-Privilege Access for AI Agents

    Per-agent identity, default-deny tool scoping, JIT capabilities, and runtime policy enforcement.

    Read chapter →
    07

    Audit and Monitor AI Agent Actions

    Provenance-threaded logs, anomaly detection, multi-agent tracing, and compliance evidence for EU AI Act and NIST AI RMF.

    Read chapter →
    08

    Compliance Controls for AI Agents

    Map agent controls to EU AI Act, NIST AI RMF, SOC 2, and ISO 27001 — and produce defensible evidence from your runtime.

    Read chapter →
    09

    Secure Multi-Agent Workflows

    Trust boundaries, handoff authorization, cascade prevention, and inter-agent authentication for collaborating agents.

    Read chapter →
    10

    Detect Shadow and Rogue AI Agents

    Detection signals, identity verification, behavioral baselines, and incident response for unauthorized and drifting agents.

    Read chapter →