Cynet CyAI · AI SOC Agent for XDR
Cynet is defining the attack path management category with a cybersecurity platform that detects and disrupts coordinated attacks across endpoints, cloud, identity, networks, mobile, and SaaS. Trusted by 1,100+ organizations and delivered by MSPs in a $311B market, Cynet remediates 90% of threats automatically at scale with an industry-low 0.9% false positive rate and detection to full containment in milliseconds.
These numbers hold up under independent scrutiny with 100% detection in three consecutive MITRE ATT&CK Evaluations, 95% willingness to recommend on Gartner Peer Insights, and a perfect (5/5) score for Agentic AI in the GigaOm XDR Radar.
Cynet's CyAI is the AI-driven detection engine powering the Cynet AI Security Operations Center (AI SOC), combining autonomous threat detection with expert human validation. Built into Cynet's unified cybersecurity platform, CyAI analyzes telemetry across endpoints, identities, users, networks, cloud environments, email, SaaS applications, and mobile devices to detect, investigate, and contain threats in real time.
The platform correlates signals across the environment, prioritizes alerts using contextual intelligence, and automates remediation in under a second. CyAI works alongside Cynet's 24×7 CyOps team, which validates detections, applies business context, and guides remediation efforts. This April, Cynet announced new capabilities that continuously improve its proprietary CyAI engine including:
In a world where AI is only as good as its data, Cynet's AI context is something no other competitor has. Built over years through a combination of human expertise and AI-driven detections on a unified platform, this capability allows CyOps to correlate telemetry and graph attack paths in real-time. This is the core differentiator that makes Cynet faster and more effective than traditional point tools, XDR, or MDR platforms.
Cynet's proprietary CyAI system employs multiple feedback mechanisms to continuously learn and evolve autonomously. While the initial training involved years of data collection, the process is now largely automated. That learning loop becomes even stronger when combined with CyOps analysis and recommendations around each threat. In other words, the system improves not only from what it sees, but from how experienced defenders interpret it.
The Deep Analysis AI Sandbox is a critical component: it scrutinizes first-layer detections, automatically flags potential false positives, and uses that feedback to rebalance the system and retrain its models daily. This mechanism also collects new data, ensuring the system continually adapts to emerging real-world threats and trends.
The industry is hungry for security outcomes, not just features, and Cynet's unified AI context and self-improving feedback loop keeps MSPs faster than the adversary. Reported results include:
As vulnerabilities are discovered and exploited faster, Cynet partners are shifting from vulnerability management to exposure management, identifying malicious or suspicious activity based on behavior before a CVE is assigned, automatically remediating across thousands of tenants while minimizing impact to the business with CyOps oversight, and controlling the path for the industry's most notorious campaigns.
This year alone, with the help of CyAI, CyOps has publicly documented the attack paths for ClickFix and its variants, Stryker, Axios, Teams Vishing, Shai Hulud, BlueHammer, and the Vercel Shadow AI breach, among many others.
With a commitment to shared intelligence that makes everyone safer, CyOps publishes their reports in real time on https://www.cynet.com/blog/ and distributes them monthly in the "Stories from the SOC" LinkedIn newsletter, Cynet Threat Intelligence (CTI) reports, and Last Call Threat Intel webinar for MSPs.
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