System architecture and operational workflow

Segura® Intelligence operates through modular components that collect, analyze, and act on data to enhance security and automation.

Segura® Intelligence ingests and correlates a rich variety of data streams and context, powering its advanced analytics and automation:

Session data: captures real-time activity from all privileged sessions (RDP, SSH, web/HTML5, database, API, local, and containerized environments), including keystrokes, commands, screen/video, clipboard, file transfers, and workflow metadata.
System and application logs: integrates with audit logs, configuration changes, credential checkouts, approval workflows, and SIEM/SOAR events.
Cloud and entitlement feeds: continuously monitors cloud platforms (AWS, Azure, GCP, SaaS) for changes to identities, roles, entitlements, permissions, and policies.
Threat intelligence and external signals: receives contextual risk, vulnerability, and incident data from threat intelligence platforms, EDRs, and security analytics tools.
User and asset metadata: enriches all activity with device, location, risk score, policy, and entitlement context.

The intelligence engine is built on a multi-layered analytics pipeline:

Data normalization and correlation: aggregates, cleans, and correlates activity across users, systems, and clouds, establishing a unified timeline and context for every event.
Baseline profiling (AI/ML): builds detailed behavioral baselines for each user, service account, application, and entitlement, covering access patterns, command usage, workflow timing, resource types, and environment variables.
Real-time evaluation: continuously compares new events against baselines using adaptive thresholds (updated via ML), identifying anomalies, deviations, or policy gaps as they occur.
GenAI-driven summarization: applies generative AI to synthesize and summarize large datasets, sessions, logs, policies, surfacing the most relevant insights, actions, and risk events.
Natural language understanding: supports chat-based queries, question-answering, and semantic search across all recorded and live data.

Adaptive response engine: on detection of anomalies, risk signals, or policy violations, Segura® Intelligence triggers automated responses, alerting, session interruption, step-up authentication (MFA/certificate), privilege revocation, or escalation to incident response.
Policy enforcement and recommendation: AI suggests or enforces policy changes (least privilege, JIT, access removal, workflow approvals) and adapts entitlements or configurations based on new risks.
SIEM/SOAR and ITSM integration: all intelligence outputs, actions, and alerts are pushed to SIEM, SOAR, or ITSM systems for rapid containment, ticketing, or further automation.

Immutable audit logging: every insight, recommendation, user interaction, policy change, and automated action is logged with full contextual metadata, supporting end-to-end compliance (SOX, GDPR, LGPD and others.).
Monitoring dashboards: real-time analytics and historical reports are available via dashboards, APIs, and export functions, supporting continuous audit, reporting, and investigations.

Open API framework: allows custom data feeds, analytics modules, integration with external AI/ML models, and specialized connectors for vertical or bespoke use cases.
Modular intelligence services: architecture supports continuous updates, new models, anomaly detectors, summarization capabilities, and integration points can be deployed with no downtime.