What AI Means for Your Cybersecurity!

Understanding AI security threats before they become your next crisis

On this episode of Razorwire, I explore the emerging frontier of AI security with leading experts Jonathan Care and Martin Voelk. We examine the latest risks, show you how adversaries are exploiting AI systems and share practical advice for professionals working with these rapidly advancing technologies.

We reveal how attackers are using generative AI, what it really takes to test these complex systems and what the rise of agentic, self-operating AI means for cybersecurity professionals. Security leaders, penetration testers and anyone implementing business technology need to understand these threats before committing to new AI solutions.

This conversation addresses real incidents, examines practical realities and highlights why many enterprises are dangerously unprepared for what’s ahead in AI security.

🔍 Key Topics

Inside the Mind of the Attacker
Learn how both ethical hackers and financially motivated criminals are already using AI to automate attacks, spread misinformation and create new vulnerabilities. Martin and Jonathan share examples of prompt injection, data poisoning and “model jailbreaking” - all tactics reshaping the cyber threat landscape right now.

Pen Testing AI: What’s Different and What’s Still the Same
Go behind the scenes with insights into penetration testing for large language models and agentic AI. The episode discusses fresh attack surfaces, why classic testing skills are still vital and the new OWASP Top 10 for LLMs. If you’re considering buying AI-powered tools, take away concrete advice on how to stress-test these systems before attackers do.

Business Risk, Legal Headaches and What to Demand from Vendors
With AI now touching everything from customer bots giving dodgy medical advice to autonomous agents able to cause chaos, the conversation gives practical advice about reputational, legal and operational risks. Listen for the must-ask questions every business should take to their vendors as well as new regulatory requirements that mean robust AI testing can’t be left as an afterthought.

🎯 If you want to stay ahead of AI and cybersecurity developments and avoid building tomorrow’s biggest headache, this episode is essential listening.

📌 AI Model Bias Debate
“77% of enterprises are reporting at least one AI related security incident. 62% of enterprises lack any dedicated testing programme.”
— Jonathan Care

🎧 Listen now on your favourite platform:
(https://razorwire.captivate.fm/listen)

📚 In This Episode

  • Test Your AI Before Attackers Do
  • Stop AI Hallucinations From Damaging Your Business
  • Protect Against Medical and Legal AI Disasters
  • Secure Agentic AI That Can Take Real Actions
  • Defend Against Prompt Injection Attacks
  • Identify Poisoned Training Data and Supply Chain Attacks
  • Implement Automated and Continuous AI Testing
  • Navigate AI Model Bias and Censorship Issues
  • Meet New Regulatory Requirements for AI Testing
  • Build AI Security Skills and Career Paths

🎙️ Connect with Your Host James Rees

Hello, I am James Rees, the host of the Razorwire podcast. This podcast brings you insights from leading cybersecurity professionals who dedicate their careers to making a hacker’s life that much more difficult.

Our guests bring you experience and expertise from a range of disciplines and from different career stages. We give you various viewpoints for improving your cybersecurity, from seasoned professionals with years of experience, triumphs and lessons learned under their belt, to those in relatively early stages of their careers offering fresh eyes and new insights.

With new episodes every other Wednesday, Razorwire is a podcast for cybersecurity enthusiasts and professionals providing insights, news and fresh ideas on protecting your organisation from hackers.

🔗 Connect with Us

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(https://www.razorthorn.com)

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