Cynet Named Leader and Outperformer in 2026 GigaOm Radar for XDR

ByRicardo

Cynet, the unified, AI-powered cybersecurity platform empowering organizations to give attention to what issues most, has been named a Leader and Outperformer in the 2026 GigaOm Radar for XDR. GigaOm positioned Cynet in the Innovation/Platform Play quadrant for its platform completeness and fast innovation in automating the risk lifecycle.

The report acknowledges Cynet’s innovation-led method to XDR, together with generative AI options that scale back the training curve for safety analysts, real-time assault path visualizations, and an ideal (5/5) rating in Agentic AI for millisecond detection to containment. GigaOm praises CyOps 24×7 MDR particularly, noting that “the corporate’s give attention to integrating professional MDR providers with a unified know-how stack permits it to advance quicker than conventional platform gamers.”

“Cynet’s development to the Leaders circle displays our continued funding in AI that predicts rising threats, accelerates analyst productiveness, and automates response,” mentioned Yaniv Shechtman, VP of Product at Cynet. “That intelligence solely works when delivered via a unified platform, and it’s why companions select Cynet to construct aggressive cybersecurity companies right now and into the longer term.”

XDR: From Alerts to Attack Paths

Modern threats are multi-stage assault paths the place lateral motion occurs in minutes, not days. GigaOm’s report reinforces the development towards unified XDR platforms that correlate exercise throughout domains and disrupt paths in actual time. As a natively unified cybersecurity platform that mixes AI automation with an always-on CyOps staff, Cynet helps companions and their prospects defend quicker with sub-5-minute detection (MTTD) and sub-10-minute response (MTTR).

The report highlighted a number of key differentiators in how Cynet controls assault paths:

  • Attack Path Visualization: Cynet’s Attack Story function robotically graphs the basis trigger and lateral motion of an incident in actual time. GigaOm famous that these automated assault maps “scale back cognitive load on analysts, permitting even junior staff members to execute efficient remediation steps.”
  • Identity Analytics and Protection: Cynet’s AI-based behavioral engines detect lateral motion and credential anomalies in actual time, intercepting a crucial entry level of most trendy assault paths earlier than attackers can escalate.
  • MITRE ATT&CK: Cynet is classed as an Outperformer resulting from its profitable efficiency in the 2025 MITRE ATT&CK evaluations, attaining 100% detection, 100% safety, and 100% technique-level protection with no configuration modifications or false positives.
  • Agentic AI: Cynet earned an ideal (5/5) rating for CyAI, its proprietary AI engine that autonomously remediates 90% of threats at scale, with an industry-low <0.9% false optimistic charge and no human intervention required.
  • Ecosystem: While GigaOm cites “the seamless efficacy of Cynet’s personal built-in stack” because the platform’s major worth proposition, an ideal (5/5) Ecosystem rating means companions can even simply combine Cynet into their stack.

To obtain the complete report, go to Cynet’s GigaOm XDR Radar web page.

The submit Cynet Named Leader and Outperformer in 2026 GigaOm Radar for XDR first appeared on AI-Tech Park.

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