Microsoft launches agentic AI security system

Microsoft has rolled out Project Perception, an agentic AI security system.

Project Perception brings together signals, context, models and specialised agents into a continuously learning system of defense. It can reason, prioritise and act at machine speed while keeping humans in control and empowering them with new workflows, the company claimed.

Agents are divided into three teams. Red team agents identify exploit paths before an attacker can, while blue team agents investigate, reason over context, and determine what represents meaningful risk. Green team agents take corrective actions and strengthen defences.

Working together, these agents form a closed-loop system that continuously discovers, evaluates and improves an organisation’s security posture, Microsoft stated.

The company also said that no single model will be optimal for every security task, with effective cyber defense requiring applying the right model to the right problem at the right time.

For Project Perception, the right model is determined by the combination of quality, reliability, latency and cost. Rather than relying on a single model, Project Perception adopts a multi-model architecture that continuously selects the capabilities best suited to the task, optimising for both effectiveness and economics.

This approach is shaped by ongoing research, benchmarking and evaluation across frontier and specialised models. Microsoft's security researchers continuously assess models against real-world security workflows, enabling the company to match each task with the model that delivers the best outcome and allowing customers to benefit from advances in AI without being tied to any single model.