AI Innovation at Exabeam

Exabeam products are at the forefront of applying artificial intelligence (AI) to Security Information and Event Management (SIEM) use cases. For over a decade, Exabeam has been an AI leader, enhancing the speed and precision of threat detection, investigation, and response (TDIR).

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AI-DRIVEN SECURITY OPERATIONS PLATFORM

10+ years of expertise in AI and security operations

Exabeam uses machine learning-based AI, Generative AI, and Agentic AI to expedite threat detection, investigations, and data onboarding with unmatched accuracy.

Machine-learned behavioral analytics for threat detection
Generative AI for improved analyst productivity
Agentic AI for assisted investigations and consistent response

AUTOMATED ACTION

Leading with Agentic AI

Augment your team with a new member – Exabeam Nova. The leader in AI-driven security operations delivers the industry’s most dynamic multi-agent experience, to proactively advise, accelerate investigations, and provide deep security insights – without additional tools or cost.

Reduce investigation times by over 50%.
Boost analyst productivity by up to 80%.
Save an average of 3 hours per shift on alert triage

REAL AI. REAL SECURITY.

Measurable outcomes

The New-Scale Platform isn’t using AI for AI’s sake. Over a decade of UEBA expertise provides a foundation focused on real risk detection and productivity gains for users. Our field-tested approach, and years of experience preparing data for analysis differentiate us from competitors, offering security professionals technology they can rely on.

Continuously improve security coverage with Exabeam Nova recommendations
Reduce mean time to respond (MTTR) with automated TDIR workflows
Ingest highly-curated data specifically prepared for AI use cases

HIGHER-FIDELITY DETECTIONS

Detect and prevent the threats others miss

The Exabeam New-Scale Platform delivers the world’s most effective threat detection capabilities, hands down. By baselining normal behavior and applying business factors to determine risk, the platform consistently detects threats that other tools (EDR, Identity, NGFW) or SIEM can’t identify.

Automatically surface insider threats
Reduce alert fatigue and false positives

UNDERSTAND NORMAL BEHAVIOR

Detect and prioritize anomalies

New-Scale Analytics establishes user and device baselines to determine anomalies and applies business factors to optimize the risk score. Once risk reaches a pre-set threshold, a case is automatically generated for analysts to manage.

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INDUSTRY-LEADING UEBA

Automated timeline of risk-based anomalies

The Exabeam UEBA capabilities leverage machine learning to baseline normal and understand user and device behavior. By assigning risk scores to security events, organizations gain improved threat detection, prioritization, and response. Scored events can be visualized chronologically within timelines, providing clear insights into incident histories.

Automated, searchable threat timelines
Timeline ANYTHING for faster investigations

DRIVE INSIGHT USING AGENTIC-AI

Enhance team skills, speed up responses

Harnessing the power of agentic AI, Exabeam Nova drives productivity and insight. By automating tasks, simplifying queries, classifying threats, and delivering actionable insights, Exabeam Nova supports faster, and more accurate TDIR.

Use natural language to Search
Automatically filter, correlate and classify threats
Get personalized recommendations on use-cases, data sources, and rule usage

DETECT ANOMALOUS USER ACTIVITY

Dynamic user grouping for behavior analysis

Patented detection groupings uses machine learning-based AI to categorize users by behavior, enabling comparison against normal group behavior to detect and flag anomalous, risky activity.

Detection grouping reduces unnecessary cases
Understand full scope of threat with user/entity grouping

PRIORITIZE THIRD-PARTY ALERTS

Machine learning-based AI for alert triage

Exabeam uses machine learning to automate the prioritization of both third-party and internal alerts, assessing factors such as rarity and frequency. Alerts are then classified with dynamic risk scoring to streamline threat triage.