AI security is becoming an architecture problem.

#agents #ai #microsoft #security

The next generation of cybersecurity tools will not simply ask, “Which LLM is the smartest?”

They will ask:

Which model should handle this task?
When should a frontier model be used?
How can vulnerability discovery scale economically?
How much autonomy should an AI security agent have?
Where must human approval remain mandatory?

Microsoft’s reportedly unconfirmed Project Perception is interesting precisely because it appears to embrace a multi-model orchestration architecture, routing routine tasks to cheaper models and complex exploit reasoning to frontier models.

Anthropic’s Project Glasswing and Claude Mythos 5 represent a contrasting philosophy: highly capable, restricted-access AI focused on autonomous vulnerability discovery.

In my latest deep dive, I compare these approaches with the AI security tools enterprises can evaluate today, including Claude Security, Microsoft Security Copilot, Agent 365, CrowdStrike Charlotte AI and SentinelOne Purple AI.

The key takeaway: AI vulnerability discovery and AI agent identity governance are complementary problems. Solving one does not solve the other.

👉 Read the full analysis: https://neuralcoretech.com/ai-security-two-horse-race-microsoft-anthropic/