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The growing sophistication of identity-based attacks has led organizations to adopt Identity Threat Detection and Response (ITDR) as a critical component of their security strategies.
While many ITDR solutions rely on static logs and delayed data to identify and respond to threats, a real-time identity graph offers a transformative approach. By dynamically mapping connections and analyzing relationships between identities, devices, locations and behaviors in real-time, an identity graph provides unparalleled visibility and context to detect anomalous behavior, threats and real-time attacks.
A real-time identity graph is a dynamic, continuously updated model that maps relationships and interactions between users, devices, locations, accounts, and behaviors.
Unlike traditional identity management systems that focus on static attributes such as usernames, roles, or permissions, a real-time identity graph leverages:
Being able to understand the patterns and relationships between these dynamic variables in real time allows organizations to more effectively identify threats.
Real-time discovery of identity relationships and behaviors is critical to combating advanced threats and provides a number of advantages.
Traditional approaches rely on delayed analysis, allowing threats to escalate before they’re identified. Real-time identity graphs analyze signals and connections as they happen, enabling ITDR systems to detect anomalies within seconds.
Modern cyber threats, such as credential stuffing or lateral movement attacks, constantly change and evolve rapidly. Real-time graphs detect these changes, uncovering hidden connections and unusual behaviors that traditional identity infrastructure misses.
A real-time identity graph doesn’t just flag anomalies. It also provides the context needed to quickly investigate and determine which anomalies are threats and attacks. This precision reduces false positives, increases team productivity and improves response accuracy.
By continuously discovering and analyzing user account connections, real-time identity graphs allow ITDR systems to also anticipate emerging threats before downstream damage can occur. For instance, identifying a user account that’s interacting with known malicious IPs, accessing sensitive resources, or using multiple new devices can trigger preemptive security measures.
Discovering connections between identities, devices, and behaviors is at the heart of effective ITDR. Organizations that can uncover hidden relationships, understand attack pathways, and perform contextual risk assessments that improve security and team productivity.
Cybercriminals often exploit unnoticed identity relationships, such as shared devices, dormant accounts, or reused credentials to infiltrate systems. Real-time identity graphs surface these connections, exposing attack vectors and vulnerabilities before they can be exploited.
In a breach scenario, attackers often move laterally across systems. By mapping connections in real time, ITDR systems can trace attack pathways and accelerate the investigation and triage process.
The next step is automating ITDR response and prevention. Risks and threats discovered in real time provide the data necessary for automated ITDR actions. For example, a newly discovered link between a compromised device and user accounts can trigger an automated workflow for password reset, step-up authentication, and/or blocking compromised devices.
The Verosint platform is built around a real-time identity graph, providing ITDR capabilities that protect organizations from advanced threats while improving team productivity and reducing mean time to remediation (MTTR). Core capabilities include:
Verosint real-time identity graphs ingest data from multiple sources, including authentication systems, behavioral analytics, and external risk intelligence. This ensures a comprehensive and always-up-to-date view of identity relationships.
Leverage AI and machine learning to analyze identity graphs, detecting patterns and anomalies that would be impossible to uncover manually. This enables Verosint to differentiate between benign and malicious activities with remarkable accuracy.
Verosint identity graphing doesn’t just highlight connections - it explains their significance. By providing actionable insights, we empower organizations to respond to threats with confidence and efficiency.
Designed for real-time operation at scale, our identity graph scales effortlessly to handle enterprise environments, ensuring that even the most complex identity ecosystems remain secure.
Real-time identity graphs represent the next evolution in ITDR, offering the speed, context, and precision needed to combat advanced identity-based threats. By dynamically mapping connections and analyzing their significance in real time, these graphs empower organizations to stay ahead of cybercriminals and protect their digital assets effectively.
Powered by our real-time identity graph, the Verosint approach delivers unmatched capabilities for discovering, understanding, and mitigating advanced identity threats. For organizations looking to elevate their security posture, adopting a real-time identity graph is not just an option, it’s a necessity.
Get your own personalized demonstration from our ITDR experts today.
