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New AI capabilities create a feedback loop where analyst input and automated analysis continuously improve threat detection and response
BOSTON, April 28, 2026 – Cynet, the unified, AI-powered cybersecurity platform empowering organizations to focus on what matters most, announced new capabilities that continuously improve its proprietary CyAI engine with input from automated analysis and CyOps, its 24×7 team of security experts.
CyAI powers prevention, detection, and response across Cynet’s unified platform. With this release, the engine learns from investigations conducted by CyOps, as well as from the real-world telemetry it collects and analyzes at scale, improving detection accuracy, reducing false positives, and strengthening the platform’s ability to identify novel threats.
Velocity is the new perimeter
In recent weeks, new AI models have compressed the time from vulnerability disclosure to exploitation from days to hours. As attackers apply AI across the threat lifecycle, defenders must do the same. This means building systems where AI detects malicious activity based on behavior, even before it’s tied to a specific CVE; analysts bring attacker mindset, operational context, and judgment to investigations; and insights from both make the model faster and better over time.
“Too many platforms talk about human-in-the-loop, but stop short of closing it,” said Yaniv Shechtman, Vice President of Product at Cynet. “With CyAI, we’ve built a system where human expertise and AI continuously reinforce each other. That learning loop is what improves detection accuracy, accelerates response, and expands the capacity of our CyOps team and the partners delivering managed detection and response to thousands of customers.”
Self-improving AI with analyst and automated inputs
The new CyAI enhancements draw on over a decade of global telemetry from Cynet’s platform, the more complex investigations CyOps analysts conduct every day, and the real-time feedback those analysts provide as they work.
“CyAI constantly processes and dissects samples at scale, helping the engine improve over time as it encounters more real-world activity,” said Ronen Ahdut, Head of CyOps at Cynet. “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 new capabilities build on recent CyAI innovations, including AI-generated alert summaries, automated decryption and analysis of malicious payloads, and correlation of alerts across vectors to surface full attack paths. Today, CyAI automatically remediates up to 90% of threats and reduces false positives to less than 1%.
Cynet’s Data Science team, led by Timea Kovacs, architected and built the AI components powering CyOps. They are advancing Cynet’s agentic AI track by integrating the platform, human operations, and AI, building new and upcoming capabilities that accelerate analyst workflows.
CyAI enhancements are available today, with CyAI Support Agent in beta. To see them in action, watch the demo.
Learn more about these launches and the other new features in the April release (v4.32) on the Cynet blog.
About Cynet
Cynet’s unified, AI-powered cybersecurity platform delivers a comprehensive suite of security capabilities in a single, simple solution backed by 24×7 SOC security experts. As a global cybersecurity company, Cynet is purpose-built to enhance protection for small-to-medium enterprises and empower partners to maximize margins while delivering world-class security. For more information, visit www.cynet.com.
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Cynet Communications
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