Reach Security Rivals AI with Real-time Control Insights

Reach Security today announced more than $50 million in Series B funding, led by Top Tier Capital Partners. The company also launched Reach Everywhere, which integrates Reach’s security control insights into various enterprise defense environments, including exposure management programs, security operations centers, incident response workflows, compliance platforms, and frontier AI-powered security environments. The company’s AI reads the live configuration of the security products an enterprise already owns to determine whether an exploit path is blocked or still reachable, and names the exact rule that decides it. If that protection drifts, Reach can remediate it immediately.

The release states that fewer than 1.3% of vulnerabilities are exploited in the wild, yet AI has made finding vulnerabilities faster and cheaper than ever. The State of Exploitation 1H-2026 report found that fewer than 1.3% of vulnerabilities are exploited in the wild. According to CrowdStrike’s 2026 Global Threat Report, AI-enabled adversary operations have increased 89%, and attacker breakout times have dropped to as little as 27 seconds. AI is even chaining exploits into attack paths never seen before. Reach uses AI on defense to move customers from human-paced to machine-speed security by:

1. Giving operations teams back their time. Reach prioritizes work based on which exposures and misconfigurations are actually reachable and which are already mitigated by existing controls. 2. Keeping pace with rising attack volume and speed without adding headcount. Reach uses AI to autonomously review and tune every control, keeping defenses strong and customers safe as attack volume grows. 3. Immediately closing the entry points AI-enabled adversaries use. Whether the attack came from an adversary or from an AI agent a customer pointed at its own environment, Reach closes the path it used by configuring the security defenses the enterprise already owns.

What is old is new again in security. AI has given attackers better economics and a lower barrier to entry, but it has also given defenders a chance to use their home field advantage more than ever.

1. Giving operations teams back their time. Reach prioritizes work based on which exposures and misconfigurations are actually reachable and which are already mitigated by existing controls. 2. Keeping pace with rising attack volume and speed without adding headcount. Reach uses AI to autonomously review and tune every control, keeping defenses strong and customers safe as attack volume grows. 3. Immediately closing the entry points AI-enabled adversaries use. Whether the attack came from an adversary or from an AI agent a customer pointed at its own environment, Reach closes the path it used by configuring the security defenses the enterprise already owns.

Reach Everywhere: The Source of Truth Wherever Security Work Happens

Security decisions that prioritize and reduce risk have never come from a single group or a single console. They take place across exposure management programs, security operations centers, incident response workflows, compliance platforms, and frontier AI-powered security environments. Reach Everywhere delivers Reach’s security control insights into each of them through the Reach API, its MCP server, and a growing ecosystem of technology partners. That means a backlog gets reordered where it already lives and a control gets tuned without anyone opening another tool.

One of the most immediate applications is helping exposure management programs handle vulnerabilities that can't be patched as fast as AI now discovers them, by using existing security controls to block the paths attackers would take. Reach identifies, validates, and continuously monitors compensating controls, providing evidence that they are deployed, current, enforcing policy, and sitting in the right attack path. Where a fix is safe to make, Reach goes beyond flagging the gap. It pushes the change through ServiceNow, Jira, or its own staged automation and validates it in a controlled environment before it takes effect, so entry points close without waiting on a separate remediation cycle. In an independent ROI analysis by TAG Infosphere, organizations using Reach saved more than 160 hours per week across control review, posture assessment, and incident investigation, and saw a 156% return that compounds every time the control environment changes.

The Security Controls Source of Truth for AI

As organizations adopt AI across security operations, the quality of decisions those systems make depends on the quality of the data they consume. Through Reach’s API and AI-powered MCP server, AI systems can access live, continuously validated control health data rather than relying on outdated inventories, exports, or inferred information. Whether they use the Reach platform, its APIs, or frontier AI models via MCP, organizations get deterministic answers grounded in real-world control health.

"At human scale, incorrect assumptions create inefficiency. At machine scale, they create risk. Whether decisions are made by analysts, automation platforms, or AI agents, the underlying truth about security control health must remain consistent, accurate, and continuously validated.