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About Deep Instinct

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 Details

Vendor
Deep Instinct
Year Launched
2015
Location
888 Seventh Avenue, 5th floor New York, NY, 10106 USA
Deployment
cloud
Training Options
documentation, videos, live online, in person
Countries Served
All Countries
Languages
English
Users
Enterprise SOC teams, cybersecurity analysts, IT administrators, cloud security engineers, endpoint security professionals.
Industries Served
Healthcare, Education, Finance, Retail, Government, Technology
Tags
Endpoint Protection, Deep Instinct, Cybersecurity, Machine Learning, Artificial Intelligence, Threat Detection, Malware Prevention, Zero-Day Attacks

Deep Instinct's In-App Market Place

Does Deep Instinct have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$), CHF (Fr), CNY (¥), SEK (kr), NZD (NZ$), KRW (₩), SGD (S$)

Pros & Cons

  • Prevention-first approach reduces reliance on detection and response.
  • High accuracy in detecting previously unknown threats.
  • Functions well in air-gapped or restricted network environments.
  • Minimal system performance impact and low maintenance requirements.
  • Provides explainability through DIANNA, enhancing analyst confidence.
  • Some enterprises may be hesitant to adopt newer AI-based solutions over legacy tools.
  • Limited visibility or adoption in certain regions or industries.
  • Requires occasional model retraining or tuning for maximum efficacy.
  • Not focused on EDR/XDR response features—designed strictly for prevention.

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