User and Entity Behavior Analytics (UEBA)
AI agents can operate with valid permissions and still move outside their expected purpose. Securonix connects behavior across users and entities, then extends that foundation to AI agents—so teams uncover developing risk without another investigation silo.
More context. Fewer disconnected alerts. A clearer next move.
AI agents do more than hold access. They use it.
They retrieve data, call APIs, and act using their own or inherited authority. Valid access can still move outside an agent’s expected purpose.
Static rules see a violation. Behavior sees the story.
Small changes across identity, authority, tools, data, and time can signal developing risk.
Securonix connects the evidence.
UEBA and AEBA turn related activity into one prioritized investigation, so teams can take governed action without another silo.
Detect meaningful change.
Spot rare access, abnormal volume, unexpected sequences, and unusual tool use.
Understand why it matters.
Add identity, authority, asset, data, and business context.
Act with confidence.
Prioritize the risk story and take the next governed step.
Insider Intent Agent
AI changed how work gets done. It changed the warning signs, too.
A shift in language, behavior, or AI use can reveal developing insider risk before a policy event makes it obvious.
Securonix connects the clues.
Insider Intent Agent correlates behavioral, linguistic, contextual, and AI-interaction signals with identity activity, access patterns, data movement, and asset sensitivity.
Turn early signal into the right next move.
Authorized teams get explainable, policy-aligned summaries to prioritize investigations and act with confidence.
Detect behavioral drift.
Surface unusual behavior, policy evasion, and AI-assisted sensitive activity.
See the context around the signal.
Connect communication, identity, access, and data activity in one explainable view.
Focus teams on what matters.
Give analysts the evidence to distinguish developing risk from routine noise.
Keep decisions explainable.
Provide concise summaries for analysts, investigators, and authorized stakeholders.
From baseline to governed action, the workflow connects activity that can look harmless when reviewed one event at a time.
Enterprise AI assistants, autonomous workflows, digital workers, and service accounts can access sensitive information and business systems, call APIs, and act on behalf of users. Their activity needs the same context and accountability applied to human users.
Securonix AEBA extends behavioral analytics to AI agents and other non-human identities, helping teams identify unusual activity, suspicious human-to-agent interactions, risky tool use, abnormal prompts, unauthorized AI adoption, and potential misuse or compromise.
Insider-risk investigations can involve sensitive employee, identity, communication, and business data. Security teams need to move quickly without sacrificing privacy, oversight, or procedural control.
Give analysts and authorized stakeholders a more complete, explainable risk picture while reducing the effort required to reach a decision.
Surface suspicious changes before privilege misuse, data exposure, agent misuse, or account compromise creates material impact.
Correlate user, agent, and entity activity into threat chains that focus analysts on higher-risk identities.
Bring behavioral history, identity context, intent signals, agent activity, and related events into one workflow.
Give security, HR, legal, and compliance explainable findings, supporting evidence, privacy controls, and an auditable process.
Explain who or what is affected, what changed, the potential impact, and the action being taken.
Automate anomaly detection, context enrichment, correlation, prioritization, and narrative generation so analysts can focus on informed decisions.
Apply behavior, identity, intent, agent activity, and context to risks that are difficult to detect with isolated rules and alerts.
Identify behavioral and intent signals associated with negligent, compromised, or malicious insiders before they create material impact.
Connect unusual access, privilege abuse, data movement, communication activity, and behavioral change to reveal potential exfiltration or policy evasion.
Identify risky prompts, sensitive-data use, abnormal tool invocation, policy evasion, and unusual behavior within supported AI-assisted workflows.
Monitor behavioral change involving service accounts, autonomous agents, digital workers, and other machine identities.
Detect credential abuse, abnormal access, suspicious authentication, impossible travel, privilege escalation, lateral movement, and account misuse.
Correlate activity across systems and time to expose developing risk that isolated alerts and static rules can miss.
Use explainable detections, masking, approval controls, audit trails, and governed workflows to support defensible investigations and oversight requirements.
Deploy combined UEBA and AEBA within Securonix Unified Defense SIEM, or extend the behavior-driven detection available to Microsoft Sentinel with Securonix Threat Analytics.
Behavior across users agents and entities in one operating model
Deploy UEBA and AEBA as behavior-first, identity-centric capabilities embedded within Unified Defense SIEM and extended by the Insider Intent Agent and Agentic Mesh.
More behavioral context without replacing the SIEM
Securonix applies behavior-driven analytics, UEBA, advanced correlation, entity context, dynamic risk scoring, and continuously maintained detection content to telemetry already available in Sentinel.
Go deeper on behavior-driven analytics, insider intent, AI-agent risk, SOC modernization, and Microsoft Sentinel threat analytics.
Discover how Securonix UEBA and AEBA can help your team find insider, identity, and agent risk earlier, reduce investigation drag, and make more consistent, defensible decisions.
