ZERO TRUST FOR AI AGENTS

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.

OT needs Zero Trust 2.0

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.

Zero Trust isn’t “hard” – it’s unfocused.

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.

Purdue vs Zero Trust in OT security

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.

An image showing the title of the blog (Zero Trust: A New Year's resolution worth keeping) as well as an image of a list of 2025 resolutions.

Zero Trust: A New Year’s resolution worth keeping

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?