Zero-trust
Also written: ZT
A security model that verifies every access request, assuming no user or system is inherently trustworthy.
Zero trust is a security strategy that assumes no one and nothing can be trusted automatically, even if they are already inside a network. Every attempt to access resources must be verified. This means users and devices need to prove who they are and that they have permission every time they try to access something new.
Think of it like a secure building where every door requires a keycard swipe and a fingerprint scan, even if you've already passed the main entrance. This is different from older security models that might let you roam freely once you were inside the building's perimeter.
Zero trust is a cybersecurity framework that mandates strict identity verification for every person and device trying to access resources on a private network, regardless of location. It operates on the principle of 'never trust, always verify,' requiring continuous authentication and authorization for all access attempts. This approach minimizes the attack surface by segmenting networks and enforcing granular access controls, thereby preventing lateral movement by attackers.
Recent advancements in AI agents, particularly their increasing autonomy and ability to interact with systems, necessitate robust security. Zero-trust principles are being adapted to ensure these agents operate securely, verifying their actions and intent rather than assuming inherent trustworthiness.
- Build zero-trust AI agents that judge intent, not just syntaxGoogle · Google Developers Blog ·
- Zero Trust for AI AgentsAnthropic · Practical AI ·
- Anthropic Claude
- Anthropic is developing a Zero Trust framework specifically for AI agents to adapt cybersecurity principles for autonomous systems.
- Google Gemini
- Google Gemini is enabling AI agents to operate under a zero-trust model, dynamically judging intent over syntax for safer operations.
- Perimeter security
- Perimeter security focuses on defending the network boundary
- Implicit trust
- Implicit trust assumes entities are safe based on their location
The term 'zero trust' was popularized by John Kindervag in 2010 while he was an analyst at Forrester Research. It represents a shift from traditional network security models. Source ↗
Explore the security settings of your AI assistant. Look for options related to access control, permissions, or data sharing. Try revoking an AI's access to a specific tool or data source and then ask it to perform a task that requires that access to see how it handles the denial and prompts for re-authorization.
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Questions people ask
- Is zero trust a product or a strategy?
- Zero trust is primarily a security strategy or framework. While many products support zero trust principles, it is not a single product you can buy.
- How does zero trust apply to AI?
- For AI, zero trust means that every request an AI makes to access data or perform an action must be verified, even if the AI is already running within a trusted environment.
First seen on Subvolts Sep 15, 2026. Updated Sep 21, 2026. Written by an AI model from the items above and reviewed against them weekly; report an error.