AI Risk is accelerating — and the insurance industry is at risk of repeating its biggest mistake.

In this episode of the Cyber Insurance News & Information Podcast, Executive Editor and Host Martin Hinton sits down with Erin Kenneally, founder of Elchemy and a leading expert on AI governance, cybersecurity risk modeling, and technology policy.

They explore the emerging fault lines in AI Risk; from silent exposures and coverage ambiguity to unpriced liabilities and third-party dependencies. Kenneally draws a direct parallel between today’s AI-driven risks and the ransomware crises that once upended the cyber insurance market.

⁠Martin Hinton⁠ is Executive Editor of ⁠Cyber Insurance News & Information⁠, covering the intersection of digital risk, underwriting innovation, and emerging technology.

Follow the show for expert interviews, actionable takeaways, and the latest thinking in AI Risk, cyber insurance, and regulatory evolution.

What You’ll Learn in This Episode

• Why AI Risk mirrors ransomware’s early trajectory

• The blind spots in cyber and Tech E&O coverage

• How to identify AI operational failure triggers

• The role of prompt injection, data poisoning, and agentic AI in loss scenarios

• Why insurers must move toward scenario-based coverage models

• How small businesses can use AI performance warranties for affordable risk protection

• • What regulators — and especially the EU AI Act — mean for policy language.

  
  

  There;s lots in there - AI Risk, AI insurance, cyber insurance, AI liability, Tech E&O, AI governance, model drift, prompt injection, training data poisoning, ransomware lessons, scenario-based coverage, underwriting innovation, EU AI Act, AI regulation, cyber risk management, privacy, ethics in AI