Episode

COASP: Offensive AI Security Explained

Podcast
InfosecTrain
Published
Sep 4, 2026
Duration seconds
2539
Processing state
not_requested
Canonical source
https://podcasters.spotify.com/pod/show/infosectrain/episodes/COASP-Offensive-AI-Security-Explained-e3o9p5a
Audio
https://anchor.fm/s/4fb8f048/podcast/play/125149802/https%3A%2F%2Fd3ctxlq1ktw2nl.cloudfront.net%2Fstaging%2F2026-8-3%2F8b47b046-385a-8845-a461-aff54dd0747b.mp3
JSON
/v1/public/podcasts/infosectrain-4511769/episodes/coasp-offensive-ai-security-explained
Markdown
/podcast/infosectrain-4511769/coasp-offensive-ai-security-explained.md

Actions

  • POST https://stenobird.com/v1/public/podcasts/infosectrain-4511769/episodes/coasp-offensive-ai-security-explained/transcription-requests
    Idempotently request low-priority transcript generation for this episode.
  • GET https://stenobird.com/podcast/infosectrain-4511769/coasp-offensive-ai-security-explained.md
    Read the agent-friendly Markdown representation of this episode resource.

Summary

Artificial Intelligence is creating a completely new cybersecurity attack surface. But can traditional penetration testing identify AI-specific vulnerabilities? In this masterclass episode, InfosecTrain explores EC-Council's Certified Offensive AI Security Professional (COASP) certification, covering AI red teaming, prompt injection vectors, and offensive security for modern AI pipelines. The "course titled" EC-Council COASP Certification Training prepares penetration testers to exploit and defend AI systems. 📘 What You’ll Learn: Traditional vs. AI Penetration Testing: Understanding fundamental shifts when auditing LLMs, RAG architectures, and autonomous AI agents. Expanded AI Attack Vectors: Identifying prompt injections, data poisoning, excessive agency, supply-chain risks, and sensitive data disclosure. EC-Council COASP Methodology: Unpacking the certification roadmap, core domains, exam structure, and practical lab expectations. AI Red Teaming Tactics: Simulating real-world offensive attacks against enterprise AI components and integrated API boundaries. Defensive Countermeasures: Implementing robust input sanitation, runtime guardrails, and model containment strategies. 🎧 Essential listening for ethical hackers, penetration testers, security engineers, AppSec leads, and red teamers entering the AI security domain. Watch full episode here:https://www.youtube.com/watch?v=0TB4TNwCAvo