AI Agent Security Engineering and Assurance Course

Name: AI Agent Security Engineering and Assurance Training Course
Availability: InStock

Secure agent identities, tools, memory, retrieval, handoffs, monitoring, and response through threat-led controls and adversarial testing.

AI Agent Security Engineering and Assurance Course

At a glance

Duration: 5 days
Format: Classroom
Cities: Madrid, Amsterdam, Abu Dhabi, Istanbul, New York, Jakarta and more
Next session: 5 – 9 October 2026, Madrid
Average fee: 5,800 €

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AI Agent Security Engineering and Assurance Training Course

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Overview

AI Agent Security Engineering and Assurance Training Course is a five-day advanced course for AI security engineers, application security specialists, agent developers, architects, red teams, and technology risk leads, who leave with an AI Agent Security Assurance Plan. Participants examine agent threat modeling, prompt injection, tool misuse, identity, least privilege, memory and retrieval poisoning, inter-agent trust, data leakage, sandboxing, monitoring, incident response, adversarial testing, and security evaluation. Agile Leaders Training Center delivers training in AI agent security assurance.

Who Should Attend

AI security personnel responsible for agent threat models, controls, and assurance evidence
Application security personnel responsible for design review, testing, and release gates
Agent engineering personnel responsible for tools, memory, retrieval, orchestration, and deployment
Security testing personnel responsible for adversarial exercises and failure discovery
Technology risk personnel responsible for control ownership, monitoring, and incident readiness

The course assumes participants can assess application architecture and security controls, and it leaves out introductory AI literacy, general agent construction, and vendor-platform administration.

Departments and Industries

The course supports AI security across software, finance, health care, retail, logistics, public services, and professional services.

Application security and product security
AI engineering and solution architecture
Identity, access, and data protection
Security operations and incident response
Technology risk across regulated and digital-service organizations

Learning Objectives

By the end of this course, participants will be able to:

Analyze agent assets, trust boundaries, and attack paths
Evaluate prompt injection, tool misuse, and poisoning risks
Apply identity, least-privilege, isolation, and approval controls
Diagnose monitoring signals and agent security incidents
Build adversarial tests and security evaluation gates
Build an AI Agent Security Assurance Plan

Course Agenda

Day 1: Agent Threat Modeling

Agent Asset and Action Inventory
Trust Boundary and Data-Flow Diagram
Agent Attack-Path Tree
Autonomy and Impact Classification Matrix
Security Requirement Traceability Register

Day 2: Injection, Tools, and Data Boundaries

Direct and Indirect Prompt-Injection Test Map
Untrusted Content Isolation Pattern
Tool Misuse and Chained-Action Scenario
Data Leakage and Exfiltration Control Grid
Human Confirmation and Transaction Boundary

Day 3: Identity, Memory, and Inter-Agent Trust

Dedicated Agent Identity and Ownership Card
Least-Privilege Tool and Resource Matrix
Time-Bound Access and Revocation Workflow
Retrieval and Memory Poisoning Test Set
Inter-Agent Handoff Trust Protocol

Day 4: Monitoring, Testing, and Response

Agent Action and Authorization Audit Trail
Security Signal and Anomaly Detection Board
Adversarial Agent Test Case Library
Containment and Kill-Switch Runbook
Agent Incident Triage and Recovery Playbook

Day 5: Security Assurance Practice and Capstone

Suggested Exercise: Build an Agent Threat Model
Suggested Exercise: Test Injection and Tool Misuse
Suggested Exercise: Challenge Identity and Memory Controls
Suggested Exercise: Rehearse Detection and Containment
Capstone Exercise: AI Agent Security Assurance Plan

Practical Exercises

The course uses suggested activities that turn an agent architecture into testable security controls and assurance evidence.

Suggested activity: map assets, data flows, trust boundaries, actions, identities, tools, memory stores, and impact levels
Suggested activity: run injection, tool abuse, data leakage, retrieval poisoning, and memory poisoning scenarios against defined controls
Suggested activity: test least privilege, approval gates, sandbox boundaries, audit records, revocation, and kill-switch paths
Suggested activity: assemble findings, owners, remediation priorities, regression tests, monitoring signals, and response actions

FAQs

Who suits the AI Agent Security Engineering and Assurance Training Course, and what does it assume?

The course suits security engineers, application security specialists, agent developers, architects, red teams, and risk leads. It assumes experience assessing application architecture and controls.

How does AI agent security training differ from general AI agent development training?

AI agent security training concentrates on attack paths, identities, permissions, untrusted content, poisoning, leakage, adversarial tests, monitoring, and response rather than building general agent features.

What threats should an AI agent security assessment examine?

An assessment should examine prompt injection, unsafe tool calls, excessive privilege, identity ambiguity, data leakage, retrieval and memory poisoning, insecure handoffs, weak audit trails, uncontrolled autonomy, and delayed containment.

How should teams test AI agent security before deployment?

Teams should test representative and adversarial tasks, direct and indirect injection, tool policies, privilege boundaries, approval gates, data handling, memory writes, inter-agent messages, logging, revocation, containment, and recovery.

What evidence supports AI agent security assurance?

Assurance evidence includes a threat model, control traceability, identity and permission records, adversarial test results, regression cases, action logs, monitoring rules, remediation ownership, incident runbooks, and release decisions.

Conclusion

Participants take back an AI Agent Security Assurance Plan linking threats, trust boundaries, controls, tests, monitoring, and response actions. It changes how teams assess and release agent systems. The plan supports traceable security decisions, control ownership, adversarial validation, rapid containment, and continuing regression testing after material changes.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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Showing 1-20 of 76 events

Location	Dates	Duration	Mode	Price
Madrid	Week 41, 2026 5 – 9 October 2026	5 Days	Onsite	€5,700
Amsterdam	Week 42, 2026 12 – 16 October 2026	5 Days	Onsite	€5,700
Abu Dhabi	Week 42, 2026 12 – 16 October 2026	5 Days	Onsite	€4,700
Istanbul	Week 43, 2026 19 – 23 October 2026	5 Days	Onsite	€4,500
New York	Week 43, 2026 19 – 23 October 2026	5 Days	Onsite	€12,000
Jakarta	Week 44, 2026 26 – 30 October 2026	5 Days	Onsite	€5,700
Doha	Week 44, 2026 1 – 5 November 2026	5 Days	Onsite	€5,500
Baku	Week 46, 2026 9 – 13 November 2026	5 Days	Onsite	€5,000
Langkawi	Week 46, 2026 15 – 19 November 2026	5 Days	Onsite	€6,000
London	Week 48, 2026 23 – 27 November 2026	5 Days	Onsite	€5,700
Muscat	Week 48, 2026 29 November – 3 December 2026	5 Days	Onsite	€5,700
Toronto	Week 48, 2026 29 November – 3 December 2026	5 Days	Onsite	€12,000
Dubai	Week 49, 2026 30 November – 4 December 2026	5 Days	Onsite	€4,500
Seoul	Week 50, 2026 7 – 11 December 2026	5 Days	Onsite	€10,000
Abu Dhabi	Week 50, 2026 7 – 11 December 2026	5 Days	Onsite	€4,700
Bangkok	Week 50, 2026 13 – 17 December 2026	5 Days	Onsite	€6,000
Manama	Week 51, 2026 20 – 24 December 2026	5 Days	Onsite	€4,700
Chicago	Week 52, 2026 27 – 31 December 2026	5 Days	Onsite	€12,000
Athens	Week 01, 2027 4 – 8 January 2027	5 Days	Onsite	€6,700
Prague	Week 02, 2027 11 – 15 January 2027	5 Days	Onsite	€6,000

Frequently asked questions

What does this course cover?

OverviewAI Agent Security Engineering and Assurance Training Course is a five-day advanced course for AI security engineers, application security specialists, agent developers, architects, red teams, and technology risk leads, who leave with an AI Agent Security Assurance Plan. Participants examine agent threat modeling, prompt injection, tool misuse, ide…

Are training dates available?

Yes. Available dates and destinations are listed in the course dates section on this page.

How can I register?

Choose an available date on this page and complete the registration form, or send a programme enquiry.

Can I download the course brochure?

Yes. Use the brochure download link provided on this page.

AI Agent Security Engineering and Assurance Course