Process Mining for Security

Process Mining for Security is a SaaS platform that reconstructs identity-driven security processes as end-to-end flows, providing visibility into how access and actions actually occur across systems.

Traditional security tools such as SIEM, IAM or EDR focus on isolated events, alerts and logs. While effective at detecting known patterns, they often miss attacks that emerge from subtle deviations in behavior across multiple steps.

Process Mining for Security introduces a different approach.

Instead of analyzing events in isolation, the platform reconstructs complete identity processes, from authentication to final action, allowing organizations to understand the full sequence of interactions behind every access or operation.

How it works

The platform correlates events across systems and transforms them into structured process flows, enabling analysis of:

• Authentication and session initiation
• Token issuance and privilege changes
• Access to applications and resources
• Lateral movement patterns
• Sequence and timing of actions

Detection model

Security is evaluated at the process level, not at the event level.

By understanding the expected structure of identity flows, the platform detects:

• Deviations from normal process execution
• Abnormal sequences of actions
• Privilege escalation patterns
• Suspicious chaining of legitimate operations

Positioning

Process Mining for Security acts as an intelligence layer above existing security controls such as SIEM, IAM and EDR, enhancing their capabilities without replacing them.

Outcome

The result is the ability to detect complex and low-noise attacks that traditional tools miss, shifting security from event-based detection to process-aware intelligence.