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SOC 2026 Rank: #3114

Exabot Detect ✓

AI-powered threat detection with less noise.

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AI-powered Threat Detection SecOps SIEM
More categories (4)
IaaS Security SaaS Security Cybersecurity SOC
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Verdict

A quick read before you dig into the full page.

Best if
AI-powered threat detection with less noise
Skip if
Limited application ecosystem
Pick this when
Extensive threat detection coverage

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Overview

Exabot Detect, provided by Exaforce, is an AI tool that offers extensive threat detection coverage across Infrastructure as a Service (IaaS), Software as a Service (SaaS), code, artificial intelligence, and identity systems.

Aimed at improving the efficiency and accuracy of SecOps tasks, it works to surface real threats amid potential cyber noise and provides clear context for threat-related data.

This tool uses multi-model artificial intelligence engines and integrates well with various security data platforms. Exabot Detect is designed to offset the limitations of Security Information and Event Management (SIEM) systems, and aims to decrease perceived noise and blind spots.

It supports greater coverage and sharper accuracy in threat detection by using AI to keep pace with AI-driven attackers. The tool extends detection to platforms such as Google Workspace, Slack, and GitHub, providing broader visibility over such applications.

Therefore, it can help identify threats within areas of critical business activity usually missed by traditional SIEMs. One of the notable features is that every Exabot alert comes with clear, understandable, and justifiable reasoning, supported by data.

This tool can be fully managed, fully custom, or anything in between, giving the user flexible control over detection technology.

Exabot Detect website

Access & connections

Where you can use Exabot Detect, and what it plugs into.

Platforms

Web

Integrations

GitHub Slack

Capabilities

What this tool accepts, produces, and is strongest at.

Input

  • Tabular

Output

  • Text

Highlights

  • Agents

Supported features

  • Cybersecurity
  • Agents
  • Automation
  • Integrations

Pros & cons

Pros

  • Extensive threat detection coverage
  • Sharp accuracy
  • Offsets SIEM limitations
  • Decreases perceived noise
  • Fills in blind spots
  • Detects on Google Workspace, Slack, GitHub
  • Clear, understandable alerts
  • Data-supported threat reasoning
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  • Flexible control over detection
  • Security data platform integration
  • Context for threat-related data
  • Real-time Threat Detection
  • Noise Reduction In Detection
  • Detects insider threats
  • Customizable tool
  • Identity System Security coverage
  • Less False Positive Alerts
  • Higher detection rate
  • Quick threat response
  • Workable with varied tech-stacks
  • High adaptability with varying environments
  • Specific tools for SOC tasks
  • Efficient FTE management
  • Exaforce functionalities for legacy systems
  • Efficient management of security outcomes
  • Multistage detection pipeline
  • High fidelity and low volume alerts
  • Easy Integration with other platforms
  • Wide coverage over enterprise apps
  • Detects misuse and threats on SaaS
  • Contextual and effective alert system
  • Curated data dashboard
  • Rule-based detections
  • Analytical graph-based threat findings
  • Auto-triage of third-party alerts
  • Curated visual presentation of threat relationships
  • Expansion of detection coverage without overhead
  • Organisation-specific detection logic
  • Reduced alert fatigue
  • Secure authentication patterns
  • Minimal tuning required for improvement
  • Automatically triaged findings
  • Constant learning and improvement of the system

Cons

  • Doesn't replace traditional SIEMs
  • Limited application ecosystem
  • Doesn't automatically triage detections
  • Relies on user feedback
  • Requires manual customization
  • Can't eliminate all false positives
  • Doesn't specify behavioral patterns
  • No explicit mention of speed
Show 2 more
  • No specified data security measures
  • No multilingual support

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Releases 1

Initial release January 15, 2026 Current
Initial release of Exabot Detect.

FAQ 12

What is Exabot Detect?
Exabot Detect is an Artificial Intelligence (AI) tool developed by Exaforce. It offers broad threat detection coverage across various realms including Infrastructure as a Service (IaaS), Software as a Service (SaaS), code, artificial intelligence, and identity systems. Its main aim is to improve the efficiency and accuracy of Security Operations (SecOps) tasks. It achieves this by surfacing real threats amid potential cybersecurity noise and providing a clear context for threat-related data. Exabot Detect's functions rely on multi-model artificial intelligence engines and it's compatible with a broad range of security data platforms.
What type of threats can Exabot Detect identify?
Exabot Detect is capable of identifying numerous types of threats. It excels particularly at detecting sophisticated threats in cloud environments, such as credential compromise, insider threats, cloud misuse, and SaaS abuse. This includes specific threats such as impossible travel, anomalous authentication patterns, session hijacking, abnormal access to sensitive resources, data exfiltration by departing employees, privilege escalation, unauthorized resource creation, policy violations, mass file downloads, unusual sharing patterns, and admin role changes.
How does Exabot Detect work with SIEM systems?
Exabot Detect is designed to enhance and offset the limitations of Security Information and Event Management (SIEM) systems. Its goal is to decrease perceived noise and blind spots that traditional SIEM systems might have. It achieves this by leveraging artificial intelligence to keep pace with AI-driven attackers, providing more extensively and more accurate threat detection.
What platforms does Exabot Detect support?
Exabot Detect supports a wide variety of contemporary platforms. It extends detection to Google Workspace, Slack, GitHub, and presumably a number of other platforms. This extension provides broader visibility across such applications, helping close detection gaps often missed by traditional SIEMs.
How does Exabot Detect help with threat detection in Google Workspace, Slack and GitHub?
Exabot Detect extends its threat detection coverage to platforms like Google Workspace, Slack, and GitHub, thereby closing the detection gaps and blind spots often left unaddressed by traditional SIEMs. Thus, it can effectively identify any possible threats within such platforms employing AI-driven detection mechanisms.
What is the role of multi-model AI in Exabot Detect?
Multi-model artificial intelligence is key to the functionality of Exabot Detect. It employs AI engines that work in concert, making it possible to execute SecOps-specific tasks effectively and accurately. The multiple AI models continuously analyze billions of events, removing noise and benign activity, so that only the truly risky elements remain, even though the attacks may scale with AI.
How does Exabot Detect minimize cyber noise?
Exabot Detect minimizes cyber noise through its AI-powered detection mechanisms. By deploying multi-model AI engines to sift through all event data, it can separate genuine threats from normal activity or harmless events. This noise reduction allows analysts to focus their attention on high-risk alerts that truly represent potential risk.
Can Exabot Detect be fully managed or customized by the user?
Exabot Detect is highly flexible and can be fully managed or customized based on the user's preference. Its design allows it to meet different user requirements, offering a fully managed solution, complete customization, or any gradation in between. This gives users flexible control over their detection technology.
How does Exabot Detect contribute to cybersecurity through AI?
In terms of cybersecurity, Exabot Detect uses AI to keep pace with AI-driven attackers. By leveraging artificial intelligence, Exabot Detect allows organizations to maintain an upper hand in cybersecurity. It enhances threat detection efficiency and accuracy, enabling security teams to swiftly identify real threats amid the noise of potential cyber threats.
What data does Exabot Detect use to support threat reasoning?
Exabot Detect supports threat reasoning by backing each alert with clear, understandable, and defensible reasoning. To facilitate this, it utilizes transparent data supported evidence for each alert, providing a clear context for the threat detected. Thus, it allows teams to understand why certain events have been flagged, enhancing the overall reasoning process.
What is the scope of IaaS and SaaS security that Exabot Detect offers?
Exabot Detect offers extensive threat detection coverage across IaaS (Infrastructure as a Service) and SaaS (Software as a Service) platforms. It effectively identifies threats in these environments and brings clarity to the detection process by reducing noise and offering essential context for threat-related data.
How does Exabot Detect handle Code Security and Identity System Security?
Exabot Detect is designed to offer robust security for both coded and identity systems. The AI-driven security tool ensures that coded environments remain secure by continuously detecting threats. It also provides robust identity system security by correlating service identities for delivering full-context alerts, thus strengthening the overall security landscape.
Exabot Detect
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