Mate Security wins CyberSecurity Breakthrough award for AI cyberdefense

CyberSecurity Breakthrough has named Mate Security the “Security Response Solution of the Year”. The award is part of the 10th annual CyberSecurity Breakthrough Awards program. The award recognizes the company’s work to give AI agents organizational context. Agents need that context to investigate and respond to security threats.

The recognition points to a growing issue in enterprise cybersecurity. AI systems may be able to process security information quickly. But speed is only useful when those systems understand what that information means inside a specific organization.

The same alert can require very different responses. It depends on the systems involved and the identities connected to them. It also depends on the importance of the underlying assets and the policies governing them. Without that context, automation can become overly broad or unnecessarily disruptive.

Mate designed its platform to make organizational knowledge a central part of the security response process.

Vendors often design traditional security tools around specific technical signals. An endpoint generates an alert, an identity system reports unusual activity or a security platform detects a suspicious connection. Analysts then bring those signals together with their knowledge of the organization. They determine what matters and what action is appropriate.

Mate is attempting to move more of that reasoning into its platform.

Its Security Context Graph is a living model of an organization’s security relationships. It covers asset ownership, dependencies, business criticality, privileged identities and applicable policy. Mate’s Reason Mining engine populates the graph. AI agents can then use organizational knowledge when evaluating security events.

The objective is to give agents a broader view before they make decisions.

The importance of that context becomes particularly clear during containment. A security platform may be technically capable of disabling an account or isolating a network segment. The question is whether that is actually the right response.

Mate designed its system to evaluate blast radius against the customer’s architecture. That can allow narrower responses. Examples include revoking one session rather than an entire account. They also include blocking a single URL rather than a whole domain. Another is isolating one host instead of a broader segment.

The company combines this approach with its Confidence, Precision, and Reversibility framework, known as CPR. It evaluates every proposed action on three things. They are the certainty of the conclusion, the precision of the response and whether someone can reverse the action.

“CPR weighs the risk of acting against the risk of not acting. A human can decide fast, and an agent acts on its own only when acting is the safer choice,” said Inbal Argov, VP Product Strategy at Mate Security, who created the CPR framework.

The goal is not necessarily to eliminate human involvement from security response. Instead, Mate is attempting to create a system in which humans remain involved. They stay where their judgment is most valuable. Agents can handle actions that meet the necessary threshold for autonomous execution.

That distinction could become increasingly important. Enterprises are deploying more AI-driven security systems. The value of an agent is not simply that it can execute an action quickly. It also needs to understand when an action is appropriate and how much intervention is actually required.

“When we started Mate, we knew we had to build context and trust into our product,” said Asaf Wiener, co-founder and CEO of Mate Security. “Enterprises need security platforms that can not only act faster, but also make the right decisions with enough context at scale. We are answering that need and are grateful to CyberSecurity Breakthrough for this award. We will continue moving fast and stay laser-focused on our customers, as we proudly build the foundation for agentic cyberdefense in the AI era.”

Mate has previously unveiled Gamebooks for AI-powered security investigations.

CyberSecurity Breakthrough managing director Steve Johansson said the company’s approach addresses a particularly difficult problem in security automation.

“Mate compresses multi-day MTTR to minutes with real organizational context. Response is the hardest part to automate because a wrong action can damage the entire business. From isolating a production host to revoking a shared credential, this can cost more than the incident. So most actions are routed through human approval, and that delay is costly in the age of AI-related attacks,” said Steve Johansson, managing director, CyberSecurity Breakthrough.

The 2026 awards program received thousands of nominations from organizations in more than 20 countries. The program is marking its 10th year.

Mate’s recognition reflects a broader direction for enterprise security. AI is taking on more operational responsibility. Organizational context could become just as important as the underlying intelligence. The companies that can connect those two capabilities may be better positioned to turn AI from an analytical assistant into a practical security operator.

Contributed article. Not produced by the TNW newsroom and does not reflect the editorial stance of TNW.