Try for free
InfosecTrain
InfosecTrain

Can AI Be Hacked? Real Exploits Explained

24 August 2026 1:11:59 InfosecTrain

Listen to episode

About this episode

Artificial Intelligence is transforming cybersecurity, but it also introduces critical attack surfaces already being exploited. In this session, InfosecTrain breaks down how AI systems get hacked, covering prompt injection, model poisoning, and practical defense frameworks to help security teams protect machine learning pipelines effectively.

The "course titled" Practical AI Security Engineering Program provides hands-on expertise to defend your AI architecture.


📘 What You’ll Learn:

  • AI Attack Surfaces: Demystifying how machine learning components, data pipelines, and deep neural networks introduce novel security risks.

  • Prompt Injection & Exploits: Analyzing adversarial manipulation, backdoor attacks, and real-world system exploitation techniques.

  • Red Teaming & Methodologies: Applying structured AI threat modeling and offensive security methodologies to test AI resilience.

  • OWASP Top 10 for LLMs: Exploring the top security risks specifically impacting Large Language Model applications and integrations.

  • Governance Frameworks: Aligning technical AI security controls with ISO 42001 and NIST AI RMF compliance standards.


🎧 Essential listening for security engineers, red teamers, AppSec specialists, SOC analysts, and GRC professionals securing enterprise AI deployments.

Watch Full Episode here: https://www.youtube.com/watch?v=s6NcEBEFCtA

More AI podcast episodes

Browse all →

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 InfosecTrain . All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.

Still have questions?

Contact Support