Exabot Detect

Expand your detection coverage without additional noise

Exabot Detect reveals real threats across IaaS, SaaS, code, and identity systems without the overhead of custom rule-building. As attackers leverage AI to scale attacks, Exabot’s automated detections deliver the accuracy and context you need to cut through noise and focus on what truly matters

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Trusted by SOCs from next-gen startups to global enterprises

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Smarter detection that scales with your business

Exabot Detect expands coverage and sharpens accuracy, catching what others miss. It uses AI to reduce noise and keep pace with AI-driven attackers, so your team stays focused, not overwhelmed.

Broader coverage without the overhead of managing a SIEM

Exabot Detect gives your SOC broader visibility and detection coverage across modern enterprise apps and data, including SaaS, collaboration, and VCS tools often missed by SIEMs. It extends detection to platforms like Google Workspace, Slack, and GitHub, closing blind spots and catching threats where critical business activity happens.

Trusted detections you can explain

Every Exabot alert comes with clear and defensible reasoning, both in natural language and in data. See the evidence, the context, and the MITRE technique behind each detection, so your analysts and auditors always understand why something was flagged.

Detections that are fully managed, fully custom, or anything in between

Detection technology that meets you where you are, whether you want turnkey coverage or deep customization. Offload tedious rule tuning and complex mechanics so your detection engineering team can focus on real security outcomes, not wrestling with pipelines, logic, or brittle SIEM rules.

Multistage detection pipeline that results in high fidelity low volume alerts

A tiered detection pipeline ingests and correlates low-fidelity signals across users, assets, and apps, then enriches and filters them into a small set of high-confidence alerts your SOC can act on. AI continuously analyzes billions of events, removing noise and benign activity so analysts see only what truly represents risk, even as attackers scale with AI.

Featured detection capabilities

Advanced detection features designed to surface real threats without additional noise.

Machine learning and rule-based detections

Threat Findings based on complex statistical behavioral models, including rate anomalies, peer analysis, and more, coupled with rule-based detections.