Use case

AI Attackers Move Fast. Reach Moves First.

Misconfigured security controls, unused capabilities, and configuration drift create defensive weak points that AI-powered attacks can uncover and exploit faster than ever before. Reach uses cybersecurity domain-specific AI models to understand, optimize, and continuously harden your security controls faster than AI-powered attacks can exploit them.

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Trusted by leading security teams

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The challenge
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Human-driven defenses can no longer keep pace with the overwhelming speed, scale, and volume of AI-powered cyberattacks.

AI-fueled attacks can now find and exploit security weaknesses -  from misconfigured security controls and configuration drift - in minutes. Meanwhile, defenders still spend days and weeks to uncover these issues and remediate.

Reach hardens security controls at the speed of AI. Reach connects with your existing security stack to continuously analyze the security control plane across IAM, EDR, email, firewall, and more. Powered by reasoning models and purpose-built cybersecurity DSLMs, Reach proactively identifies and remediates misconfigured controls, activates underutilized capabilities, and stops configuration drift before AI-powered attacks can exploit these weak spots.
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99.993%

Reduction in attack anatomy risk

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33,584

Total number of attacks

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130

People in this group

1.2% of your organization

1000

Domain-Specific AI That Understands Security Controls and Threats

Reach is powered by cybersecurity domain-specific AI models purpose-built to understand security controls, configurations, and attacker behavior across identity, endpoint, email, SASE, and network security tools. Unlike general-purpose AI, these models are trained on security telemetry, configuration schemas, threat intelligence, and frameworks, allowing them to reason accurately about real-world exposure. This deep specialization enables precise identification of misconfigurations and underutilized controls that manual reviews routinely miss.

33,584

Total number of Attacks

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2,749

Number of Attacks Delivered

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2,735

Numbers of Attacks Preventable

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Machine-Speed Analysis at Human-Impossible Scale

Modern security environments generate billions of data points across tools, configurations, and threat signals. Security toolsets are sprawling, amounting to thousands of controls that need constant managing. Vendors ship hundreds of feature updates per year, making it unfeasible for teams to learn and deploy these capabilities fast and effectively. Hiring more personnel to manually address these problems will not scale.

Reach’s purpose-built AI engine automates configuration analysis and management, proactively learns about new feature releases across your stack and activates capabilities for maximum protection. This allows Reach to uncover hidden exposures, assess impact, and recommend action at a speed and magnitude that no human team alone – regardless of size – could replicate.

AI-Driven Action That Turns Insight into Impact

Reach does not stop at insight. Its AI prioritizes remediation based on exposure severity, attack behavior, and configuration context, then generates tool-specific, step-by-step remediation guidance aligned to frameworks like MITRE and Zero Trust. Reach validates changes in staged environments and executes remediation workflows across the security ecosystem, enabling organizations to close gaps continuously without adding operational burden. This elevates AI from an analytical assistant into an operational force multiplier for cybersecurity teams.

Frequently asked questions

What types of risks does Reach help address?
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How does Reach simplify remediation efforts?
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How does Reach improve security decision making?
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What makes Reach different from other security platforms?
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Getting Started with Reach

To join the community of customers enjoying the benefits of Reach and learn more about how it can transform your security posture, visit:

Reach Recognized in Gartner® Emerging Tech Report on Domain-Specific Language Models for SecOps
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