ITDR Maturity Assessment
Evaluate your identity security posture across the full NIST CSF lifecycle.
ITDR is evolving
As identity becomes the primary attack surface, expectations for identity threat detection and response (ITDR) are expanding. Leading industry advisory firms such as Gartner now align ITDR more closely with the National Institute of Standards and Technology (NIST) Cybersecurity Framework, reflecting a broader, lifecycle-based approach to identity security that extends beyond prevention and detection to include response and recovery.
At the same time, AI-driven attacks, hybrid environments, and the rapid growth of non-human identities are increasing complexity and risk, raising the bar for how organizations must approach their identity security and resilience strategies.
Disaster recovery risk
of organizations undertest disaster recovery
NHI security concern
list NHIs as biggest security concern
Proactive threat management
say proactive threat management drives ITDR
AI and ITDR
believe AI can improve ITDR effectiveness
Top recommendations from the 2026 State of ITDR Report
Treat identity recovery as a core component of ITDR, not a contingency plan. Regularly test and validate recovery across ransomware and identity compromise scenarios to ensure readiness. Build operational muscle memory to reduce downtime during incidents, and maintain flexible recovery options so teams can respond appropriately, from granular object restoration to full domain recovery.
Establish continuous discovery across hybrid Active Directory and Entra ID environments to maintain a complete, up-to-date view of both human and non-human identities. Use this visibility to define the identity attack surface, reduce blind spots, and ensure all identities are properly understood, governed, and secured.
Identify and formally classify Tier 0 identities, then apply focused protections, auditing, and alerting to safeguard these critical assets. Limit unnecessary privilege and trust relationships to reduce identity blast radius, and address misconfigurations that expose high-impact identities to compromise.
Continuously monitor identity activity across hybrid environments and use AI to surface suspicious behavior, reduce alert noise, and prioritize high-risk events. Correlate identity signals with broader security telemetry to add context, and automate analysis to compensate for identity and Active Directory skills gaps.