Any environment
  • On premise; cloud native by design
  • MSSP
  • Air-gapped network
  • VDI
Any environment
  • On premise; cloud native by design
  • MSSP
  • Air-gapped network
  • VDI
Any environment
Anywhere
  • Network Network
  • Endpoint Endpoint
  • Mobile Mobile
  • Servers Servers
  • Windows Windows
  • MacOS MacOS
  • Android Android
  • iOS iOS
  • Chromebook Chromebook
Anywhere
  • Network Network
  • Endpoint Endpoint
  • Mobile Mobile
  • Servers Servers
  • Windows Windows
  • MacOS MacOS
  • Android Android
  • iOS iOS
  • Chromebook Chromebook
Anywhere
Zero-risk & high efficiency
  • Fast and easy deployment
  • minimum impact on device productivity
  • only 1-2 updates required annually
  • one agent, one management console
Zero-risk & high efficiency
  • Fast and easy deployment
  • minimum impact on device productivity
  • only 1-2 updates required annually
  • one agent, one management console
Zero-risk & high efficiency
Any threat/ Attack vector
  • Zero-days
  • APTs
  • Any file-type
  • Fileless malware :macros
  • Scripts
  • code injections (>99% detection rate, <0.001% false positive)
Any threat/ Attack vector
  • Zero-days
  • APTs
  • Any file-type
  • Fileless malware :macros
  • Scripts
  • code injections (>99% detection rate, <0.001% false positive)
Any threat/ Attack vector

Threat Prevention Platform Powered by Deep Learning

Full protection, with a prevention first approach
Full protection, with a prevention first approach

Deep Instinct’s solution provides full protection based on multiple layers,
including a prediction & prevention first approach, followed by detection
& response, against known and unknown cyber threats.

The rise of new prevention technology based on a Deep Learning technology
With detection & response, malware running and getting caught after the fact is
simply not acceptable. Adding additional layers of engines/agents that can provide
a small uplift in detection is not effective.

Deep Instinct’s Deep Learning cybersecurity solution is changing the paradigm
– from post-execution reaction to pre-execution prevention. making the prediction
and prevention of unknown malware pre-execution instinctive and in real-time
with unmatched accuracy.

Multi-layered protection

Using deep learning, Deep Instinct offers a predictive threat prevention platform with multi-layer protection, for
pre/on/post-execution based on a prevention first approach followed by detection & response, automatic analysis &
remediation against any known or unknown threat from any file or fileless attack.

PRE-EXECUTION:
PRE-EXECUTION:
Prevention
ON-EXECUTION:
ON-EXECUTION:
Detection & Response
POST EXECUTION:
POST EXECUTION:
Automatic Analysis
DEEP INSTINCT BROAD PROTECTION
AGAINST ATTACK VECTORS
Endpoints: Any OS (Windows, Linux, OS X), any file type, real-time, on-device protection Servers: Any OS (Windows Server, Linux), real-time protection, seamless deployment
File-based Malware
File-based Malware
Executables: Virus, Worm, Backdoor, Dropper, PUA, Wiper, Coin-miner

Non-executables: Documents (Office, PDF, RTF), Images, Fonts, Flash, Macros Known shellcodes
Fileless Malware
Fileless Malware
Scripts
Code Injection
Dual-use tools
Exploits
Exploits
Documents
Flash files
Images
Fonts
Ransomware
Ransomware
Ransomware
protection against any type of ransomware
Spyware
Spyware
Banking trojans
Keyloggers
Credentials dumping
Mobile
Mobile
Applications
Networks attack (MitM, SSL MitM)
Compliance

Partnership ecosystem
& compliance

Compliance

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Official member & partner

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Technology Partnerships

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