Roundup
Best ITDR Solutions
Ranked comparison of identity threat detection and response solutions — covering authentication attack detection, Active Directory protection, non-human identity monitoring, and response capabilities.
Top 10 ITDR solutions ranked
Evaluated on identity attack detection breadth, AD and IdP coverage, investigation depth, response automation, and SOC integration. Updated 2025.
ManySignal
AI SOC platform with deep identity threat detection across IdP, cloud, and SaaS
Strengths
- Correlates identity events with endpoint and cloud telemetry
- Detects AiTM, MFA fatigue, impossible travel, session hijacking
- Autonomous investigation of identity threat chains
Watch-outs
- — Full-platform approach — not an identity-only point solution
Best for
Teams wanting identity threat detection as part of unified SOC operations
CrowdStrike Falcon Identity Protection
ITDR with deep Active Directory and Entra ID monitoring
Strengths
- Real-time AD and Entra ID threat detection
- Tight Falcon EDR correlation
- Strong credential theft and lateral movement detection
Watch-outs
- — Best value in CrowdStrike-heavy environments
- — Premium pricing
Best for
CrowdStrike shops wanting identity threat detection natively correlated with endpoint
SentinelOne Singularity Identity
ITDR with Active Directory and identity infrastructure protection
Strengths
- Active Directory deception capabilities (honey credentials)
- Tight SentinelOne EDR integration
- Real-time identity attack detection
Watch-outs
- — Best value in SentinelOne environments
- — Less compelling as standalone ITDR
Best for
SentinelOne EDR customers wanting identity threat detection natively integrated
Microsoft Entra ID Protection
Built-in identity risk scoring for Entra ID and Microsoft 365
Strengths
- No additional cost for existing Entra P2 customers
- Real-time sign-in risk scoring
- Integration with Conditional Access for automated response
Watch-outs
- — Limited to Microsoft identity ecosystem
- — Alert volume can be noisy without tuning
Best for
Microsoft-first organisations wanting identity risk scoring built into Entra ID
Okta Threat Intelligence
Identity-centric threat detection and response built into Okta's identity cloud
Strengths
- Native to Okta identity events
- ThreatInsight IP reputation blocking
- Identity governance integration
Watch-outs
- — Limited to Okta-managed identities
- — Less investigation depth than full SOC platforms
Best for
Okta-primary organisations wanting identity threat detection within the Okta platform
Obsidian Security
SaaS identity security posture and threat detection across cloud apps
Strengths
- Deep SaaS posture management — Salesforce, GitHub, Workday, Box
- Identity threat detection across SaaS applications
- Good OAuth app risk monitoring
Watch-outs
- — Primarily SaaS-focused — less strong for on-premises AD
- — Separate from endpoint and network detection
Best for
Cloud-first organisations with SaaS identity risk as the primary concern
Silverfort
Unified identity protection with MFA enforcement across all authentication protocols
Strengths
- Extends MFA to legacy protocols (NTLM, Kerberos) without agents
- Identity risk scoring across all authentication events
- Non-human identity monitoring
Watch-outs
- — Complex network architecture requirements
- — Less analyst-facing investigation tooling
Best for
Enterprises with legacy authentication protocols needing MFA and ITDR coverage
Semperis
Active Directory security and identity threat detection with directory rollback
Strengths
- AD-specific threat detection with deep expertise
- Directory rollback capability for ransomware recovery
- Strong DCshadow and Golden Ticket detection
Watch-outs
- — AD-centric — less relevant for cloud-native identity environments
- — Recovery capabilities require separate budget justification
Best for
Enterprises with large Active Directory environments and AD-focused security requirements
Vectra AI — Identity
AI-driven identity threat detection and lateral movement analysis
Strengths
- AI-based lateral movement detection
- Network-layer identity attack detection
- Good integration with SIEM and SOC workflows
Watch-outs
- — Network sensor requirement adds deployment complexity
- — Identity detection strongest when combined with Vectra NDR
Best for
Teams that also use Vectra for network detection wanting identity coverage in same platform
Netwrix Threat Manager
ITDR platform focused on Active Directory and data access threat detection
Strengths
- Strong Active Directory monitoring
- Data access monitoring integrated
- Mid-market pricing
Watch-outs
- — Less cloud-native than newer entrants
- — Limited coverage for non-AD identity systems
Best for
Mid-market organisations with Active Directory and data access as primary ITDR focus
Where ManySignal fits
ManySignal provides identity threat detection as a core capability within its unified AI SOC platform — not as a standalone tool requiring separate deployment. Identity events from Okta, Entra ID, Google Workspace, and AWS IAM are correlated with endpoint, cloud, and network telemetry in ManySignal's entity graph, enabling attack chain investigations that start with a suspicious login and trace through to lateral movement and data access.
Methodology
Rankings based on Gartner IAM Hype Cycle, product documentation, G2 reviews, and editorial evaluation. ManySignal is ranked first as publisher. Last updated August 2025.
ITDR solution FAQs
What is ITDR?
Identity Threat Detection and Response (ITDR) is a security discipline focused on detecting and responding to attacks targeting identity infrastructure — authentication systems, directory services, identity providers, and privileged access management. ITDR addresses the gap between traditional IAM (which manages identity configurations) and SOC detection operations (which detect attacks using identities).
Why has identity become the primary attack surface?
Attackers have adapted to the modern perimeter-less enterprise: network perimeters are porous, endpoints have EDR, but stolen credentials remain highly effective. Identity is the control plane for cloud, SaaS, and remote access. Once an attacker has valid credentials, they can move through the environment without triggering traditional network or endpoint detections.
What are the most important identity threats to detect?
Top identity threats: (1) AiTM (Adversary-in-the-Middle) phishing — stealing session cookies to bypass MFA; (2) MFA fatigue attacks — overwhelming users with MFA push notifications; (3) Password spraying — low-volume attempts across many accounts; (4) Golden Ticket — forged Kerberos tickets for persistent AD access; (5) Pass-the-Hash / Pass-the-Ticket — credential relay attacks; (6) OAuth consent abuse — malicious app gaining persistent access.
How does ITDR differ from IAM and PAM?
IAM (Identity and Access Management) manages who has access to what — provisioning, deprovisioning, access reviews. PAM (Privileged Access Management) specifically manages and monitors privileged accounts. ITDR is detection-focused: it monitors identity systems in real time for signs of attack or compromise. IAM/PAM prevent unauthorized access; ITDR detects when authorised credentials are being abused.
Does MFA prevent identity threats that ITDR detects?
MFA prevents many attacks but is not sufficient on its own. AiTM phishing bypasses MFA by stealing the authenticated session cookie. MFA fatigue attacks manipulate users into approving fraudulent MFA requests. Pass-the-hash attacks reuse harvested credential hashes. ITDR detects these post-MFA-bypass attack patterns that MFA alone cannot prevent.
What is a Golden Ticket attack and how is it detected?
A Golden Ticket attack creates a forged Kerberos ticket using the KRBTGT account's password hash, granting attackers persistent, long-lasting authentication tickets for any service in the Active Directory domain. Detection requires monitoring for anomalous Kerberos ticket lifetimes, ticket requests without corresponding TGT events, and logins from non-domain-joined systems.
How should ITDR integrate with existing SOC operations?
ITDR alerts should flow into the SOC's primary investigation platform (SIEM or AI SOC platform) for correlation with endpoint, network, and cloud events. A standalone ITDR alert for a suspicious login is enriched when correlated with the user's endpoint process events, email security events, and cloud access patterns. Cross-telemetry correlation reduces false positives and builds complete attack chains.
What is non-human identity and why does it matter for ITDR?
Non-human identities include service accounts, API keys, OAuth tokens, and machine identities (AWS IAM roles, Kubernetes service accounts). They outnumber human identities in modern environments by 10–100x and are frequently over-privileged and poorly monitored. ITDR platforms that include non-human identity monitoring catch attacks using compromised service credentials that human-identity-only tools miss.
How do I prioritise which identity threats to detect first?
Prioritise based on your threat model and environment: (1) Entra ID / Okta attacks if you're cloud-first; (2) Active Directory attacks if you have large on-premises infrastructure; (3) SaaS identity attacks if your sensitive data is in SaaS applications; (4) MFA bypass attacks universally, as they're the most common initial foothold for cloud attacks. Build detections in order of likely attacker use against your environment.
What response actions should ITDR support?
Key ITDR response actions: (1) Terminate active sessions — revoke all active sessions for a compromised account immediately; (2) Disable account — suspend the account pending investigation; (3) Require MFA re-enrolment — useful when MFA token is suspected stolen; (4) Reset credentials — force password change and invalidate all Kerberos tickets; (5) Quarantine device — isolate the device associated with suspicious authentication. Response actions should require human approval for production accounts.
Detect identity threats before they become breaches
See ManySignal's identity attack chain detection in a 30-minute demo.