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AI Guardrails vs. Policy-in-Code: Why Both Matter

AI guardrails and policy-in-code address different security risks. HAWK Network Defense explains how content filtering, runtime authorization, scoped permissions, and human oversight work together to ensure AI agents execute only approved actions within defined enterprise security boundaries.

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AI Security & Architecture Tim Shelton, CTO AI Security & Architecture Tim Shelton, CTO

The Most Dangerous AI Permission Is the One Nobody Remembers Granting

AI agent permissions can become dangerous long after they were originally approved. Tim Shelton, Founder and CTO of HAWK Network Defense, explains how privilege accumulation, changing integrations, and delegated authority can expand an agent's effective access—and why continuous permission governance is essential.

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Tim Shelton, CTO Tim Shelton, CTO

AI Agent Security Testing: What Happens When Agents Get Creative?

What happens when an AI agent combines legitimate permissions in unexpected ways? Tim Shelton, Founder and CTO of HAWK Network Defense, explains why adversarial AI agent security testing must go beyond expected workflows to examine emergent capabilities, enforce architectural boundaries, and prevent unintended authority.

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