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Compare Deep Instinct Prevention Platform vs Fidelis Elevate

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Overview

Description

Deep Instinct offers a groundbreaking Zero-Day Data Security solution powered by advanced deep learning and generative AI technologies. As the first and only platform designed to prevent ... Read More

Fidelis Elevate is a cutting-edge, active XDR platform designed to automate defense operations across various network environments, seamlessly extending security from traditional networks ... Read More

Free Trial Availability
  • No free trial
  • No free trial
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Software Demo

Demo

Features

Total Features

12 Features

12 Features

Unique Features
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      Pricing

      Other Details

      Organization Types supported
      • Large Enterprises
      • Small Business
      • Medium Business
      • Large Enterprises
      • Small Business
      • Medium Business
      Platforms Supported
      • Browser Based (Cloud)
      • Installed - Mac
      • Installed - Windows
      • Mobile - Android
      • Mobile - iOS
      • Browser Based (Cloud)
      • Installed - Mac
      • Installed - Windows
      • Mobile - Android
      • Mobile - iOS
      Modes of support
      • 24/7 (Live rep)
      • Business Hours
      • Online
      • 24/7 (Live rep)
      • Business Hours
      • Online
      API Support
      • Not Available
      • Not Available
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      User Reviews

      Expert's Review generated by AI

      Deep Instinct’s DSX sets a new standard in zero-day cybersecurity by leveraging deep learning and generative AI to detect, prevent, and explain emerging threats in real time. Its proactive ...Read more

      Fidelis Elevate is a powerful active XDR platform that offers automated, AI-driven cybersecurity defense across networks, cloud environments, and endpoints. With advanced threat detection, ...Read more

      Pros and Cons
      • Continuously adapts to evolving cyber threats for long-term protection.

      • Protects the entire data ecosystem, including endpoints, networks, and cloud environments.

      • Offers detailed explanations of detected threats for better security decision-making.

      • Provides instant malicious verdicts, reducing response time.

      • Deep learning models require substantial computational power.

      • Strict security measures may occasionally misidentify safe activity as threats.

      • Helps organizations understand and mitigate vulnerabilities effectively.

      • Enables deep visibility into encrypted traffic for better security insights.

      • AI-driven sandboxing and MITRE ATT&CK mapping improve identification of sophisticated cyber threats.

      • Enhances threat hunting by proactively misleading attackers and detecting threats early.

      • Intelligent detection may generate alerts that require manual verification.

      • The sophisticated technology and features may come at a high cost, limiting accessibility for smaller organizations.

      Integrations

      Customers

      Customers
      T-System

      T-System

      The 20

      The 20

      Tanium

      Tanium

      No Customers information available.

      Media and Screenshots

      Screenshots
      Deep Instinct

      3 Screenshots

      fidelis security

      6 Screenshots

      Videos
      video-0

      1 Videos

      video-0

      1 Videos

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      Frequently Asked Questions (FAQs)

      Stuck on something? We're here to help with all the questions and answers in one place.

      Neither Deep Instinct Prevention Platform nor Fidelis Elevate offers a free trial.

      Deep Instinct Prevention Platform is designed for Medium Business, Small Business and Large Enterprises.

      Fidelis Elevate is designed for Large Enterprises, Medium Business and Small Business.

      Pricing details for both Deep Instinct Prevention Platform and Fidelis Elevate are unavailable at this time. Contact the respective providers for more information.

      Some top alternatives to Deep Instinct Prevention Platform includes and undefined.

      Some top alternatives to Fidelis Elevate includes and undefined.

      Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].