Cynet 360
All-in-one XDR with 100% MITRE detection and protection, backed by 24/7 SOC.
Vendor Information
Cynet 360 Overview
Cynet 360 is an all-in-one cybersecurity platform that unifies endpoint protection (EPP), endpoint detection and response (EDR), network detection and response (NDR), user behavior analytics (UBA), and extended detection and response (XDR) capabilities into a single, AI-powered solution. The platform achieved a historic milestone in the 2024 MITRE ATT&CK Evaluation as the only vendor to deliver 100% Protection and 100% Detection Visibility with zero false positives and no configuration changes—detecting all 77 threat sub-steps across Windows, macOS, and Linux environments while blocking all 21 protection sub-steps.
Founded in 2015 in Israel by Eyal Gruner, Netanel Amar, Idan Amir, and Boaz Zilber, Cynet (formerly Cyber Spear) has raised $79M in funding and now operates globally with headquarters in Boston, Massachusetts. The company employs 250-320 people and serves small-to-medium enterprises (SMEs), managed service providers (MSPs), and managed security service providers (MSSPs) with a purpose-built platform that delivers enterprise-grade security without the complexity and cost of traditional point solutions.
Cynet 360 consolidates multiple security layers including endpoint security, network analytics, email security, SaaS/cloud security, deception technology, and threat intelligence into a unified platform managed through a single dashboard and lightweight agent. The platform features automated threat detection, investigation, and response capabilities powered by AI and behavioral analytics, with optional 24/7 CyOps expert monitoring and MDR services. Cynet eliminates the need for multiple vendors and complex integrations, providing comprehensive breach protection with industry-low false positive rates and simplified operations designed specifically for resource-constrained security teams.
Key Capabilities
Standardized capabilities mapped to this product's security niche
Vendor security analysts proactively hunt for attacker TTPs in the customer's telemetry on an ongoing basis, distinct from automated detection and alert response.
Executes isolation, process kill, or persistence removal actions automatically upon detection without waiting for analyst approval. Speed of automated response directly affects breakout time mitigation.
Extends the agent and telemetry model to cloud VMs, containers, and serverless functions, providing consistent detection and response capabilities across on-premises and cloud workloads.
Detects active identity attacks (credential stuffing, MFA bypass, session token theft, lateral movement using stolen credentials) correlated across authentication and access logs.
Ingests events from non-endpoint sources (firewall, identity, email, cloud) into the EDR platform for cross-signal correlation, enabling XDR-style detection without a separate XDR product.
Detects threats by modeling process behavior, memory access patterns, and inter-process relationships rather than matching file signatures. Catches novel malware and LOLBin-based attacks that have no signature.
Provides a query interface over telemetry (process tree, network connections, registry events, file events), for analyst-led investigation independent of alert workflows. Differentiation is query language expressiveness and historical data retention.
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