Cybersecurity Awareness

AI Security toolkit

Your AI agents are already running. Meet the risks most likely to be in your stack, and learn how to take control.

The 101 Glossary

AI security, in plain language

Short videos that explain the terms security teams keep hearing, without the jargon.

The Risks You Should Know About

When agents go rogue

Hear from our CISO, Diana Kelley on the biggest ways AI agents create risk, from tools nobody approved to agents that go off-script.

The AI security risk video
#01
Prompt injection
#02
Third-party connections & MCP servers
#03
Workflow identity hijacking
#04
Intent misalignment & rogue agents
Watch the video · 8:15
Intent misalignment & rogue agents
#04

The Rise of Rogue AI Agents in the Last 70 Days

In under three months, autonomous agents crossed network boundaries, bypassed sandboxes and acted without authorization. Here is the timeline, what changed, and what security leaders can do now.

How practitioners are securing AI agents

Lessons from security practitioners working on AI agents in production.

Architecture
By Diana Kelley

Mapping Trust Boundaries to Architectural Controls

Start with the trust boundaries where content, identity and authority change state, not with product categories, and enforce policy outside the model.

Read Now
Identity
By Chris Hughes

Least Privilege Had Its Shot, and Agents Now Need Least Autonomy

Agents don't just have access, they act. Why every agent needs its own identity, short-lived scoped credentials, and limits on how much it does on its own.

Read Now
MCP Servers
By Miriam Lottner

Who Approved That? Taking Control of Shadow MCPs and Skills

Anyone can connect an MCP server or install an agent skill in minutes, with no approval. How to vet them first, and stop them when they change.

Read Now

Trusted at enterprise scale

Security teams at global enterprises use Noma to secure their AI and agents.

AI Security Risk Assessment

Run your risk check

A practical checklist to see how exposed your organization is across the five AI security risks.

  • #01
    Shadow AI
  • #02
    Risky MCP servers, skills and models
  • #03
    Unverified AI workflows
  • #04
    Limited or default guardrails
  • #05
    Rogue agent behavior and intent misalignment

Get the checklist