ThreatLocker

Cybersecurity has fallen in love with AI, and that’s becoming a problem. For every defensive algorithm, there’s an offensive model learning faster, adapting better, and disguising itself more convincingly. Detection-first security, once a strength, has become an exploitable pattern. The uncomfortable truth is that AI can’t be trusted to defend us from itself.

Zero Trust takes the opposite stance. It assumes breach, denies prediction, and demands proof. Every process, identity, and application must earn its right to run continuously. By shifting from detection to verification, Zero Trust architectures close the blind spot that AI-driven malware thrives in.

Osman Celik, Research Analyst at KuppingerCole Analysts, will analyze how the rise of generative AI is reshaping the threat landscape. He will show why predictive detection alone cannot keep up and outline how Zero Trust principles create a verifiable, containment-based defense model for an AI-driven world.

Rob Allen, Chief Product Officer at ThreatLocker, will ground these ideas in operational reality. Drawing on real-world examples of ThreatLocker, he will demonstrate how to contain threats instantly even when they come from adaptive, AI-created code.

The holiday season might be the most wonderful time of the year—but it’s also prime time for cybercriminals. In this Videocast episode, Warwick Ashford talks with Danny Jenkins, CEO and co-founder of ThreatLocker, about why attacks spike between November and December and what companies can do to stay protected.

They unpack:

✅ Why cyberattacks surge during holidays
✅ How to close your organization’s biggest security gaps
✅ The importance of automated responses and real-time monitoring
✅ Why good backups (and tested restores!) still matter
✅ How a “cyber health check” can save your business from disaster

📈 Whether you’re a security professional or a business leader, these insights will help you strengthen your defenses during the holidays and beyond.