Five-day AI agent security bootcamp

Secure the agents that read, decide, and act.

We train teams to scope deployed AI workflows, test agent failure modes, build controls, and prove readiness to a client security review board.

Bootcamp case arc 5 days
Scope the workflow Map trust boundaries, authority, and blast radius.
Attack the agent Test injection, tool misuse, and exfiltration paths.
Build controls Use access maps, gates, guardrails, and evals.
Prove readiness Assemble evidence for audit and review.

Course description

A practical security course for deployed AI agents.

Companies now place AI agents inside real workflows, where they read records, draft replies, and write to other systems. This course teaches AI FDSE skills: model the threats, scope access, add controls, watch production behavior, and give reviewers the evidence they need.

01

Trust boundary review

Read the workflow, find untrusted inputs, and map the systems the agent touches.

02

Adversarial testing

Run direct and indirect injection, privilege escalation, and exfiltration tests.

03

Control design

Build least privilege maps, approval gates, output checks, and sandbox boundaries.

04

Evidence and response

Use logs, evals, incident response, and compliance mapping to prove readiness.

Course schedule

One worked case carries through all five days.

Learner outcomes

Participants leave with review-ready evidence.

Boundary diagram

A trust boundary map for the agent, its inputs, tools, data, and authority.

Access map

A least privilege service-account map with allowed fields, denied fields, and proof of denial.

Security eval suite

A set of attack cases that runs beside accuracy evals and catches regressions.

Evidence package

A control package with logs, findings, eval results, and review-board talking points.

Who it is for

Built for technical and security teams near the deployment.

Target audience

  • Forward deployed engineers
  • AI security architects
  • Solutions and implementation engineers
  • SOC analysts and GRC leads

Prerequisites

Best fit for learners with working AI knowledge, Python environment comfort, cybersecurity fundamentals, and enterprise context.

Preparation

Bring one real workflow from your job that you would like to secure. Expect hands-on work between sessions as each deliverable builds on the last.

Instructor

Dean Bushmiller

Dean Bushmiller has taught cybersecurity since 1999 and has taught continuously online since 2007. He consults on cybersecurity, incident response, and penetration testing, and he now uses AI to build and secure learning platforms.

Bring FDSE training to your team

Prepare your team to secure AI agents before review.

Contact FDSE