Mate Security has won the “Security Response Solution of the Year” award from CyberSecurity Breakthrough in the 10th annual CyberSecurity Breakthrough Awards program, highlighting the company’s work to make security response more autonomous while maintaining organizational controls. The recognition arrives at a time when AI is accelerating cybersecurity investigation, but human approval can still become a bottleneck when an actual response is required.
The problem is becoming more pronounced as organizations deal with growing volumes of security alerts and increasingly sophisticated attacks. AI can help analyze those alerts quickly, but deciding whether to take action and how much action to take remains a more difficult problem.
Mate is attempting to address that gap through a combination of organizational context and agentic response.
Detection Is Only Half the Problem
For security teams, detecting a threat is only the beginning.
Once an alert has been identified, someone still needs to investigate it, determine whether it represents a genuine threat and decide how to contain it. In many environments, the final step requires human approval because security actions can have operational consequences.
That creates a fundamental tradeoff. Waiting for a human can slow containment, while allowing an automated system to act without sufficient confidence can create unnecessary damage.
Mate’s platform is designed around that decision point.
Its AI agents can investigate alerts, reach evidence-based verdicts and respond across an organization’s existing security stack. The company’s objective is to shorten the time between detection and containment without treating automation as an excuse to ignore risk.
Measuring the Risk of Acting
Mate’s Confidence, Precision, and Reversibility framework, known as CPR, is intended to help agents determine when autonomous action makes sense.
The framework considers the confidence behind an agent’s conclusion, the precision of the proposed response and whether the action can be reversed. Confidence is also informed by the agent’s track record on similar cases.
“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 framework can support narrowly scoped actions. Instead of revoking an entire account, for instance, a response could target one session. Instead of blocking an entire domain, the response could focus on one URL.
The distinction matters because the fastest response is not necessarily the safest response.
Giving AI a View of the Enterprise
The other component of Mate’s approach is its Security Context Graph.
The graph is designed to maintain a living model of organizational security relationships, including asset ownership, dependencies, business criticality, privileged identities and applicable policies.
Mate’s Reason Mining engine populates this graph, providing agents with information that can help them assess the potential blast radius of a response.
That means an agent can evaluate an alert in the context of the business environment rather than simply responding to the technical characteristics of an event.
“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.״
Reducing the Human Bottleneck
The issue of response latency was central to CyberSecurity Breakthrough’s recognition of Mate.
“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 award is part of the 2026 CyberSecurity Breakthrough Awards, which received thousands of nominations from organizations in more than 20 countries during its 10th annual program.
For Mate, the recognition underscores an increasingly important part of the AI security conversation. The question is no longer simply whether AI can analyze security events faster than people. It is whether AI can safely close the gap between understanding a threat and doing something about it.
