CyberProof launches Agentic MXDR to autonomously handle two-thirds of enterprise security investigations

Co-managed security services specialist CyberProof Inc. has officially launched an enterprise-grade agentic platform. The newly deployed service, named CyberProof Agentic MXDR, shifts the corporate security operations center (SOC) away from manual alert-triage queues toward a human-governed network of specialized AI agents capable of autonomously running up to two-thirds of all security investigations.

The software deployment lands as enterprise defense teams struggle to keep pace with a severely compressed attack lifecycle. With advanced generative AI models now making thousands of software vulnerabilities discoverable overnight, malicious actors require mere minutes to exploit corporate networks.

To close this defensive speed gap, CyberProof's architecture links distinct AI agents directly across the detection, hunting, and response lifecycle, allowing the platform to autonomously analyze data endpoints, map threats to the MITRE ATT&CK framework, and execute initial triage before escalating complex risks to human analysts.

Breaking Down Legacy Silos via Agent Orchestration

Unlike traditional managed detection and response systems that function as rigid, step-by-step automation scripts, CyberProof’s framework utilizes contextual reasoning to orchestrate multiple tools simultaneously. The service integrates natively with an organization's existing security investments, including security information and event management (SIEM) systems, endpoint detection, and cloud identity logs across different providers.

Within this unified operational framework, individual AI agents operate in an always-on loop to streamline foundational engineering disciplines. A threat intelligence agent actively monitors global campaigns, a hunting agent generates corresponding search queries to probe for active network intrusions, and a detection agent builds custom rules to patch identified coverage gaps.

Initial enterprise case studies reveal that this coordinated, multi-agent approach reduces the mean time to respond (MTTR) by an incredible 62.5 percent, slashing diagnostic windows down to just six minutes while boosting overall investigation accuracy by 30 percent.

The CISO’s Financial Guardrail

To defend against the skyrocketing compute bills associated with modern frontier AI models, CyberProof has embedded a dedicated quality-control framework directly into its Reveal360 dashboard. The monitoring system continuously evaluates every active software agent based on its real-time speed, defensive effectiveness, and active processing cost.

This transparency gives Chief Information Security Officers (CISOs) a clear look at their precise compute spend versus operational accuracy, providing financial predictability alongside measurable risk reduction.

More importantly, the entire architecture maintains a strict human-in-the-loop governance model. Rather than handing total autonomy over to a black-box system, the software delegates repetitive data gathering to AI agents while keeping human experts firmly in control of critical validation and high-risk containment decisions. Level-2 and Level-3 security analysts are liberated from manual spreadsheet triage, allowing them to shift from reactive monitoring to proactive macro-defense management.