Threat Detection, Investigation, and Response (TDIR)

The Exabeam Security Operations Platform delivers capabilities that enable faster, more accurate, and consistent TDIR — the primary workflow of security operations teams.

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IMPROVE PRODUCTIVITY

Centralize TDIR workflows

Streamline TDIR with a unified workbench to prioritize alerts, automate evidence collection, create timelines, and manage cases. Get the full scope of a threat with insights spanning multiple detections. Prioritize alerts and cases with context-aware risk scoring.

GROUP ALERTS / MAXIMIZE ACCURACY

Triage high-risk detections versus low-fidelity alerts

Reduce the number of false alarms with automated evidence collection and detection grouping by associating related entities and events to triage the most serious threats. Promote faster response with case sharing, case escalation, and shared notes.

MACHINE-BUILT THREAT TIMELINES

Start investigations from threat timelines

Speed up investigations with detailed, machine-built threat timelines automating evidence collection, and correlating alerts for comprehensive threat identification and remediation.

AUTOMATE WORKFLOWS AND RESPONSE

Streamline workflows and response actions

Empower analysts to do more with less effort using pre-built playbooks and an intuitive no-code editor. Automate critical SOC workflows like triaging alerts, escalating alerts to cases, and context gathering to foster rapid threat remediation.

SIMPLE, DETAILED THREAT EXPLANATIONS

Quickly understand and communicate risk and scope

Interpret the extent and potential impact of any security event without delay. Gather detailed context and explanations of any threat, giving analysts the power to quickly and effectively evaluate and communicate about cases.

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Frequently Asked Questions

How do you use machine learning? Is it just UEBA?

Exabeam has been a pioneer in AI since 2013. Exabeam was built on the foundation of machine learning (ML) for UEBA and automation of the threat detection, investigation, and response (TDIR) workflow.

ML applications include:

Event Correlation Analytics: Stateful user tracking correlates and analyzes raw stateless events to coherent units, providing a full history of user activities for alert triage.
Statistical Analysis: Over 750 models track behaviors of network entities, confirming model convergence and performing outlier analysis.
Context Estimation: Dynamically determines a user’s peer grouping for anomaly analysis and identifies functions of hosts in the infrastructure.
Targeted Detection: Detects dynamically generated domain (DGA) names to alert on potentially malicious sites.
False Alarm Control: Adjusts scoring contribution of triggered statistical rules to minimize false alarms.

How does Exabeam employ generative AI as part of an analyst’s workflow?

Exabeam Copilot integrates generative AI, delivering simple threat explanations and recommended actions. With Threat Center as a unified workbench for TDIR, AI enhances skills and automates tasks for focused, consistent investigation and response. Analysts benefit from natural language processing (NLP) for advanced queries and a threat explainer for each case, offering prescriptive guidance. An LLM supports additional case-specific questions.

How does Exabeam provide timeline visualizations for TDIR?

The ability to use chronological timeline visualizations for events, alerts and cases, is one of the most effective tools for investigations. Exabeam offers timeline visualizations across the platform, for various use-cases.

Investigation Timelines – Located within Exabeam search, Investigation Timelines are the most comprehensive providing timeline views for any entity, artifact or field within the Search experience. Build timelines not just for users and hosts but applications, processes, etc. Investigation Timelines offer the most granular capabilities allowing the user to fine tune searches with extensive filtering options including the ability to view events with detections only.
Threat Timelines – Located within Exabeam Threat Center, Threat Timelines provide timeline visualizations for alerts and cases under investigation within Threat Center. Threat Timelines include alerts from correlation rule triggers as well as user behavior analytics coming from Exabeam Advanced Analytics.
Smart Timelines – Located within Exabeam Advanced Analytics (UEBA), provide risk assessment and timeline visualizations that are specific to users. The are pre-built and pre-computed based on a user’s normal/abnormal behavior. Smart Timelines are considered a subset of Investigation Timelines.

How does TDIR differ from traditional cybersecurity approaches?

TDIR goes beyond traditional cybersecurity measures by actively monitoring and analyzing network traffic, system logs, and user behavior to identify anomalous activities that may indicate a security threat. It emphasizes rapid detection and response to minimize the impact of cyberattacks. TDIR systems use advanced algorithms and machine learning techniques to reduce false positives by correlating multiple indicators of compromise (IOCs) and prioritizing alerts based on their severity and likelihood of being a genuine threat. Additionally, human analysts play a crucial role in validating alerts and investigating suspicious activities. With over 10 years of experience building cybersecurity solutions powered by AI machine learning, Exabeam Threat Center provides a centralized workbench with all the TDIR tools an analyst needs for rapid investigations.

“We also look forward to working with a true cloud-native SIEM provider that can give us the data lake and security technologies we need under one roof to protect our business, including cloud-scale security log management, powerful behavior analytics, and an automated threat detection, investigation, and response (TDIR) experience.”