Microsoft has unveiled its Agent Factory framework, providing enterprises with a structured blueprint to build trustworthy, safe, and secure AI agents at scale. As AI agents move from prototypes to core business systems, trust, security, and governance are becoming critical adoption factors.
Key highlights from Azure AI Foundry:
Unique Identity
Every agent will soon have an Entra Agent ID for visibility, lifecycle tracking, and prevention of “shadow agents.”
Built-in Controls
Industry-first agent protections include cross-prompt injection classifiers, harm/risk filters, groundedness checks, and sensitive data safeguards.
Continuous Evaluation
Enterprises can run risk checks, adversarial testing (PyRIT, Red Teaming Agent), and groundedness scoring both pre-deployment and in production.
Data Protection
Supports private network isolation, “bring your own resources” setup, and integration with Microsoft Purview to enforce sensitivity labels and DLP policies.
Security & Monitoring
Real-time alerts flow into Microsoft Defender XDR, ensuring SOC teams can detect and respond to threats seamlessly.
Governance Alignment
Integrates with frameworks like the EU AI Act and NIST AI RMF through partners such as Credo AI and Saidot.
Proof in action
Enterprises are already leveraging Foundry’s evaluations and red teaming to scale AI solutions confidently while validating multi-agent workflows under real-world attack conditions.
Takeaway
With Agent Factory, Microsoft is helping enterprises move from patchwork fixes to a layered, future-ready AI security blueprint, ensuring agents are safe, governed, and trusted from design to deployment.