Segura® uses AI to summarize sessions, answer queries, and guide admins. It detects anomalies, suggests policy changes, monitors permissions, automates tasks, and analyzes video for suspicious activity.
Generative AI for knowledge and session summarization
- Session summarization: generative AI (GenAI) models are applied to privileged session recordings (video, logs, command history) to automatically generate concise, context-aware summaries.
- Key benefits: enables reviewers to quickly identify critical actions, risky behaviors, and compliance violations in hours of session data within minutes.
- Natural language queries: auditors and admins can use natural language to query sessions (e.g., "Show me all sudo commands" or "Was any confidential data accessed?"). The AI parses and returns relevant events with context.
- Policy documentation and knowledge assistant: the GenAI engine is trained on the Segura® platform documentation, configuration, and audit data, acting as a knowledge assistant to answer product questions, guide configuration, and suggest best practices.
Intelligent chatbots and copilot
- Embedded AI copilot: an intelligent chatbot guides users and admins through workflows such as policy setup, troubleshooting, and compliance checks.
- Contextual awareness: the Copilot provides step-by-step assistance, dynamic recommendations, and auto-completes tasks based on current context and historical usage.
- Automation: automates repetitive administrative actions and provides links to documentation or policies in real time.
Agentic AI for anomaly detection and policy recommendation
- Behavioral and entitlement anomaly detection: agentic AI models establish dynamic baselines for users, accounts, entitlements, and workloads. These models detect deviations and alert security teams to risks such as:
- Unusual privilege escalations.
- Risky entitlement changes.
- Suspicious activity within CIEM (Cloud Infrastructure Entitlement Management).
- Out-of-policy access attempts or sessions.
- Policy optimization and recommendations: the AI proactively recommends policy changes, identifies unused or overly broad privileges, and suggests optimizations based on usage patterns, risk trends, and compliance gaps.
Continuous entitlement and risk analytics
- Continuous discovery: real-time monitoring and AI-driven analysis of cloud and hybrid entitlements, permissions, and trust relationships.
- Use cases: detects shadow admins, orphaned accounts, or entitlement drift before they become security liabilities.
- Alerting: integrates with SIEM/SOAR, email, and chat tools for immediate notification and response.
AI-driven productivity and automation
- Operational automation: AI automates and orchestrates workflows such as user onboarding, credential rotation, alert triage, and audit preparation, freeing up administrators for higher-value work.
- Metrics and measurement: built-in analytics track reductions in time spent on reviews, frequency of policy changes, and outcomes of AI-driven interventions, supporting continuous improvement.
Vídeo analytics
- Multi-modal analysis: the platform applies video analytics to session recordings, enabling detection of suspicious screen changes, keywords, or abnormal commands.