Zero Trust for AI Agents
AI agents expand the attack surface. Learn how Zero Trust for AI agents strengthens agentic AI security and protects non-human identities in modern enterprises.
AI agents expand the attack surface. Learn how Zero Trust for AI agents strengthens agentic AI security and protects non-human identities in modern enterprises.
The IT/OT convergence flips the script on security. Traditional models such as the Purdue Model were designed for separation. Today’s reality demands something different: a model that ditches static boundaries and kills implicit trust. That’s where Zero Trust 2.0 for OT security comes in.
Cut through the noise and find out how to turn SaaS from a soft target into a secured stronghold: from shared responsibility to access control, network segmentation, and data in motion.
Zero Trust isn’t hard – it’s about focus. Most CISOs struggle because they treat Zero Trust like an all-or-nothing moonshot. In reality, Zero Trust is a strategy applied incrementally to one protect surface at a time, using tools organizations already own.
The Purdue Model has long served as a foundation for securing OT environments, but its limitations in addressing modern cyber threats are evident. Zero Trust enhances OT security by enforcing strict access controls, continuous monitoring, and micro-segmentation.
As the year draws to a close, it’s time to reflect on the past 12 months and make plans for the year ahead. For those of us in cybersecurity, the question is clear: what did we do to strengthen our security posture this year, and how can we do even better next year?