Agent Security Posture & Threat Protection Offer

This offering implements enterprise-grade security controls for your entire AI agent fleet, extending proven identity protection, conditional access, data loss prevention, and advanced threat detection capabilities from your user environment to your agent environment. It directly addresses the critical finding that 73% of organisations identify data privacy and security as their biggest AI risk (Deloitte State of AI 2026).

Our security engineers deploy a defence-in-depth strategy for agents, leveraging Microsoft Entra for identity and access security, Microsoft Defender for runtime threat detection and posture management, and Microsoft Purview for data protection. The engagement includes shadow agent discovery and remediation, ensuring unsanctioned agents are identified and brought under management.

The outcome is a hardened agent security posture with continuous monitoring, automated threat response, and a dedicated agent security operations playbook that integrates with your existing SOC workflows.

Key Deliverables • Shadow Agent Discovery & Remediation — Multi-signal detection leveraging Entra identity signals, Microsoft Graph API monitoring, and Entra Internet Access Shadow AI Detection at the network layer. • Conditional Access for Agents — Risk-based policies extended to agent identities, including MFA enforcement, compliance restrictions, and automatic quarantine for compromised agents. • Identity Protection for Agents — Entra Identity Protection policies configured for anomalous authentication, credential compromise indicators, and impossible travel detection. • Data Security Controls — DLP policies for agent interactions, sensitivity label enforcement, Information Barriers, and Insider Risk Management signals. • Defender Threat Protection — Microsoft Defender XDR integration for posture management, runtime threat detection (prompt injection, tool misuse), attack path analysis, and automated response. • Advanced Hunting Queries — Library of 20+ pre-built KQL queries for inspecting agent trace logs, detecting behavioural anomalies, and proactive threat hunting. • Agent Security Operations Playbook — Incident response procedures, investigation workflows, forensic evidence collection, and escalation matrices for AI agent security incidents.