Endpoint Protection
Deep Instinct DSX
Deep learning that preemptively blocks zero-day threats across cloud, NAS, apps, and endpoints.
Deep Instinct DSX Overview
What it does
Deep Instinct DSX is an Endpoint Protection Platform (EPP) and preemptive data security product that blocks malware before it executes. Its DSX Brain, a discriminative deep neural network trained on raw file data rather than engineered features, returns a malicious or benign verdict in under 20 milliseconds without cloud lookups or threat feeds. The same engine that protects endpoints also scans files at rest and in motion across cloud storage, network-attached storage, and application file flows, so zero-day and ransomware payloads are stopped before detonation.
How it works
On endpoints, a lightweight D-Client agent applies layered engines: pre-execution deep static analysis of executables, documents, archives, and scripts; an AMSI-powered script engine and in-memory behavioral engine that stop fileless attacks and code injection on execution; and a post-execution suspicious activity engine whose alerts are mapped to MITRE ATT&CK. Verdicts are computed locally, so protection continues offline. The cloud, network-attached storage, and application modules reuse the same brain to scan storage repositories and files moving through middleware or upload flows, and DIANNA, the GenAI DSX Companion, explains blocked unknown threats in natural language in under ten seconds.
Credentials and traction
Deep Instinct holds SOC 2 Type II and ISO/IEC 27001, 27017, and 27018 certifications, with Coalfire validating the platform for PCI DSS environments and GDPR requirements. Added to the 2022 Gartner Magic Quadrant for Endpoint Protection Platforms, it scored 100 percent prevention in the 2022 MITRE Engenuity ATT&CK Evaluations and was cited in the 2024 Gartner Hype Cycle for Storage Technologies. Customers include Seiko Holdings Group, Cyera, Yamada Holdings, American Express, Honeywell, Norwegian Cruise Line, and Carnegie Mellon.
Key Capabilities
mapped to solution categoriesProvides an embedded AI assistant for alert summarization, investigation and response guidance.
Detects ransomware encryption activity using behavioral signals and restores affected files from shadow copies or local snapshots. Rollback depth and speed are primary quality metrics.
Detects and blocks malware using behavioral analysis and ML models rather than signature matching. Prevents execution of known and novel malware including script-based and fileless attacks.
Blocks exploit techniques at the point of execution (memory injection, process hollowing, credential dumping), independent of whether the exploited application or CVE is known.
Renders malicious or benign verdicts locally on the endpoint without cloud lookups, reputation services, or threat-intelligence feeds, so prevention efficacy is unchanged when the device is offline.
Detects and blocks endpoint threats using behavioral analysis of endpoint, application and user activity.
Executes endpoint response actions automatically upon confirmed detection (process termination, file quarantine, registry key removal, and ransomware rollback), without waiting for analyst approval. Scope of automated actions and rollback fidelity are the primary quality differentiators.
Compliance
certificationsIntegrations
compatible toolsImplementation & support
Info last updated on September 7, 2026
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