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Crash Course for CISOs: Cyber Security for AI

Top 10 Lessons Learned
Building AI Agents for Cyber Defense

Format

Online Course

Price

Free

What you are going to learn

A few more words about this course

As digital workers and autonomous AI agents rapidly enter the enterprise ecosystem, organizations are gaining massive capabilities; however, they are also expanding their attack surfaces. This executive-level crash course bridges the gap between rapid AI deployment and robust security governance, moving beyond simple rule-based automation to secure modern, context-aware agentic AI.

Designed specifically for security leaders, this training delivers a strategic and technical breakdown of real-world incidents, vulnerabilities, and emergent threats facing autonomous AI infrastructure.
What You Will Learn 

AI Agents 101: Clear definitions distinguishing AI workflows from fully autonomous, adaptive Agentic AI.

The AI Agent Attack Surface: A deep dive into how expanded capabilities create new exposures—including tool abuse, data exfiltration, and insecure orchestration.

Top 10 Cybersecurity Lessons Learned: Technical case studies of real-world exploits from late 2025 and 2026, covering:

  1. Non-Human Identities (NHIs): Managing the crisis of leaked API keys and session tokens.
  2. Prompt Injection: Mitigating zero-click, direct, and indirect prompt injection vulnerabilities.
  3. AI Agent Vulnerabilities: Securing the code, integrations, and full software stack behind the intelligence. 
  4.  Sensitive Information Disclosure: Preventing data leaks and conversational AI exposure.
  5. Supply Chain Vulnerabilities: Vetting malicious models, plugins, and third-party components.
  6. Hallucination Nation: Implementing "Human-in-the-Loop" validation to counter AI overreliance.
  7. Model Context Protocol (MCP): Navigating the security "Wild West" of new AI protocols.
  8. Insecure Output Handling: Defending against RCE and XSS caused by unsanitized AI responses.
  9. Model Poisoning: Spotting the hidden backdoors in training data and fine-tuning pipelines.
  10. Model Denial of Service (DoS): Protecting GPU queues and budgets from infinite reasoning loops and resource exhaustion.


Course Purpose & Takeaways
  • Gain a strategic understanding of why AI Agents are essential to modern operations.
  • Acquire technical insights from actual threat intelligence and recent adversarial attack patterns.
  • Learn how to establish a robust defense architecture to enforce safe boundaries, access controls, and policy guardrails.
  • Transform your security analysts from traditional operators into AI supervisors and validators.  
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Emrah Alpa

Sr. Technical Enablement Manager
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Harun Seker

Academic Director, SOCRadara University
Technical Account Manager
About
Emrah Alpa, Sr. Technical Enablement Manager, leads all sales enablement to empower technical sales and partner success.

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Harun Seker is an accomplished Technical Account Manager and a Certified Cyber Threat Intelligence Instructor, recognized for his expertise in cybersecurity, threat intelligence, and workforce development. With a robust background as an EC-Council Certified Instructor and extensive hands-on experience in Security Operations Centers (SOC), Harun has trained and mentored professionals globally, equipping them with advanced skills in threat detection, incident response, and digital risk protection. His credentials include numerous industry certifications such as CISSP, CEH, CTIA, and ISO 27001 Lead Auditor, reflecting his commitment to excellence and leadership in the cybersecurity field.
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