Deep Instinct is a cloud data security platform from Deep Instinct that prevents and explains unknown threats in real-time. It combines DIANNA, the DSX Companion, which provides real-time explainability of significant threats, Deep Instinct Data Security X (DSX), and tools to prevent zero-day attacks so organizations can improve their security posture. This platform offers a unique preemptive approach to threat prevention, focusing on unknown threats while ensuring that users understand the risks they face. Key capabilities: DIANNA Deep Instinct Data Security X real-time threat explainability prevention of zero-day attacks cloud-based threat protection Best for: organizations that need comprehensive data security solutions against evolving cyber threats.
Deep Instinct is a cutting-edge cybersecurity solution that sets itself apart by focusing on pre-execution threat prevention through the use of deep learning—a step beyond traditional endpoint protection or EDR systems. Unlike legacy antivirus tools that rely heavily on signature-based detection or behavioral analytics post-execution, Deep Instinct uses a purpose-built deep neural network trained on millions of malicious and benign files to identify and block threats before they execute. This prevention-first approach allows it to intercept zero-day attacks, ransomware, and advanced persistent threats in real-time, often in under 20 milliseconds, which significantly reduces the attack surface and potential damage. Its core strength lies in its lightweight agent, which requires minimal system resources, and the fact that it can run effectively even in offline or air-gapped environments, making it suitable for high-security industries like finance, healthcare, and defense. The platform integrates with Windows endpoints, network shares, cloud storage, and certain applications, offering broad coverage. IT teams benefit from its low-maintenance footprint and centralized console that streamlines threat management and policy enforcement.
Uses a purpose-built deep learning model to prevent known and unknown malware before execution.
Designed to stop zero-day threats and ransomware pre-execution with high accuracy and speed.
Maintains a detection accuracy of over 99% with false positives reported at under 0.1%.
Functions effectively without constant cloud connectivity, ideal for secure or isolated environments.
Includes a built-in AI assistant to provide transparent explanations of threat detections for SOC teams.
Stops threats before they can run, reducing dwell time and damage.
Protects endpoints, servers, storage systems (NAS), and cloud workloads.
Enables real-time threat decisions with near-instantaneous detection.
Combines deep learning with traditional techniques for layered protection.
Scalable and integrates with SIEM, SOAR, and other cybersecurity ecosystems.
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Deep Instinct is a cloud data security platform from Deep Instinct that prevents and explains unknown threats in real-time. It combines DIANNA, the DSX Companion, which provides real-time explainability of significant threats, Deep Instinct Data Security X (DSX), and tools to prevent zero-day attacks so organizations can improve their security posture. This platform offers a unique preemptive approach to threat prevention, focusing on unknown threats while ensuring that users understand the risks they face. Key capabilities: DIANNA Deep Instinct Data Security X real-time threat explainability prevention of zero-day attacks cloud-based threat protection Best for: organizations that need comprehensive data security solutions against evolving cyber threats.
Does Deep Instinct have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
N/A
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Email Address
info@deepinstinct.comContact
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