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Free guide for security teams

Secure AI agents before they become your next attack surface.

Your AI agents can call APIs, execute workflows, access data, and make decisions. This guide shows what can go wrong — and the practical controls to put in place now.

Built for teams that need a fast, practical starting point for securing autonomous systems without waiting for risk to become reality.
Prompt injectionTool abuseExcessive agencyData exposureShadow AI
Securing AI Agents
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Enter your details and get Securing AI Agents: A Practical Guide to Managing Risk in Autonomous Systems. No fluff. No spam. Just the guide and relevant security resources. A concise guide covering the threat landscape, practical safeguards, governance concerns, and a 90-day action plan.

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What you'll receive: A concise guide covering the threat landscape, practical safeguards, governance concerns, and a 90-day action plan.

AI agents break the old assumptions.

Traditional application security assumes predictable behavior, predictable inputs and outputs, and clear trust boundaries. Agentic AI changes all three.

01

Inputs become instructions

Natural language can manipulate behavior, bypass controls, or override intended system prompts.

02

Tools create real blast radius

When agents connect to APIs, workflows, and third-party systems, mistakes can trigger real actions.

03

Trust boundaries get blurry

Agents ingest external data, use stored context, and make decisions across systems with limited oversight.

A practical framework, not a theoretical AI essay.

The guide gives you concrete controls you can start applying across AI agents, tools, permissions, workflows, and monitoring.

Treat AI as untrusted — Validate outputs before execution and never assume the agent is safe by default.
Enforce least privilege — Limit agents to the minimum data, tools, and permissions needed.
Isolate execution — Use sandboxes, scoped API tokens, and limited runtime permissions.
Require approval for high-risk actions — Add human review for transactions, deletions, and external communications.

Use the 90-day plan to move fast without guessing.

Start with assessment, add controls, then mature your governance and testing program.

Day 30 — Assess
  • Identify AI systems in use
  • Map data access and integrations
  • Evaluate risk exposure
Day 60 — Control
  • Implement least privilege
  • Add monitoring and logging
  • Introduce approval workflows
Day 90 — Mature
  • Conduct AI red teaming
  • Establish governance policies
  • Align with emerging standards

Get the guide before your agents get ahead of your controls.

Fill out the form and start securing autonomous systems with practical next steps.