Reach ingests security events, threat intelligence, and configurations from the products you own via API connections. Data aggregation and processing starts seconds after your products are connected. No new sensors, infrastructure, or attack simulations required.
Reach models hundreds of threat actors and attack techniques, thousands of product capabilities, and millions of business data points. It’s a staggering amount of work, far beyond anything a person can do on their own, but Reach considers every option, and finds the single best result for you.
Reach analyzes millions of data points to understand how your organization is being attacked and who presents the most risk. The result isn’t a collection of “best practices”; it’s the best possible security for you, tailored to the risks you’re facing and the tools you have available.
Reach runs continuously to gather details on what can be improved, and translates the improvements into prioritized actions without needing an entire team and weeks of research and collaboration. These actions, called Quests, are tailored to your unique organization: your people, tools, and risks. They take you from what to do, to how to do it, all the way through to deployment.
AI comes in many flavors. We developed Reach’s to meet the exacting demands of enterprise security.
Reach creates a unique AI model for every customer, one dedicated to your team, your operational needs, and your security challenges. It molds itself to the shape of your business, rather than asking you to adjust to it.
Reach’s proprietary AI engine doesn’t use third-party services or external data. All customer data remains securely within the product, offering an added layer of confidentiality and trust.
Customers trust Reach’s AI to make important decisions because it doesn’t hallucinate and doesn’t make mistakes. It’s a different kind of AI, one designed with accountability in mind—something that’s never existed before in cybersecurity.
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