Behavior-based policy application
The Segura platform's Behavior Engine is directly integrated with the central policy and authorization system, making behavioral enforcement a native and continuous part of the user journey. The behavioral engine's decisions affect permissions, approval flows, authentication, and real-time responses:
- Continuous authorization (CAEP): access permissions, privilege elevation, and session continuity are continuously evaluated as behavioral events and risk signals are captured, both in locally initiated and remote (RDP, SSH, Web, APIs, etc.) sessions.
- Dynamic policy enforcement: changes in baseline, suspicious behavior, or external signals (SIEM/SOAR) can dynamically modify policies, require step-up authentication, identity revalidation, or block sessions.
- Zero standing privilege and Just-in-Time: users only receive the minimum necessary privileges for the strictly necessary time and may be forced to revalidate their identity as risk changes.
Response and workflow orchestration
The Behavior Engine not only evaluates risks but also orchestrates automated and coordinated responses with other modules and external integrations:
- Step-up authentication (MFA/Certificates): upon identifying anomalies, the system may require additional MFA, the use of smartcards, biometrics, or digital certificates.
- Session suspension or blocking: sessions can be paused or terminated automatically if there is evidence of takeover, bot behavior, unauthorized automation, or threat intelligence signals.
- Custom workflows: behavioral triggers can initiate custom workflows. Sending an alert to the SOC, notifying the manager, generating a ticket in ITSM, or forwarding for forensic analysis.
- Automated remediation: the system can block credentials, revoke sessions, trigger containment scripts, or rotate secrets in response to detected risks.
Integration with Segura policies and related modules
- PAM (Privileged Access Management): adaptive execution of access, approval, and justification workflows based on behavioral risk.
- A2A (App-to-App): conditional policies for automations and application integrations, allowing granular control over credentials used by bots, scripts, and integrations.
- Secrets, Executions, and Discovery: behavioral triggers can impact discovery, rotation, and secret distribution flows, revoking or requiring additional validation as context changes.
- Integration with ITSM/Workflow: direct integration with tickets, approval chains, and governance, associating behavioral events with business processes.
Continuous policy adaptation
- Risk-Based access: policies are constantly recalculated in real time according to risk score, context, time, location, and other variable factors.
- Policy automation: allows the creation of dynamic policies based on conditional logic, behavioral triggers, and external signals, promoting automation, zero trust, and self-healing.