Upgrading Your IT Security for the Age of Autonomous AI
Announcing GREYCORTEX Mendel 5.0
We are thrilled to unveil the latest evolution of GREYCORTEX Mendel. This major update empowers security analysts by assigning a consolidated risk score to every device. Dynamically calculated from historical behavior, this single metric makes it instantly clear where your team should focus their investigations first.
Furthermore, our newly added Traffic Flow Map provides a comprehensive visual snapshot of a device and its most critical network connections all in one place. To top it off, an integrated AI Assistant breaks down complex data—such as devices, IP addresses, and security incidents—into easily digestible language. It helps verify actual threats and immediately recommends actionable next steps to secure your environment.
Key Highlights of the 5.0 Update:
- Consolidated Risk Scoring: Features historical data and visual trend tracking to map device behavior over time.
- Traffic Flow Map: Streamlines host-centric investigations with intuitive visual connection mapping.
- Intelligent AI Assistant: Translates technical device info, IP addresses, and security events into plain English.
- Revamped Host Dialog: A completely redesigned interface for improved workflow and usability.
- Chronological Tag History: Easily track tag modifications with precise time references.
- Host Monitoring: Automated detection to quickly identify inactive or disconnected hosts.
About GREYCORTEX
GREYCORTEX uses advanced artificial intelligence, machine learning, and data mining methods to help organizations make their IT operations secure and reliable.
MENDEL, GREYCORTEX’s network traffic analysis solution, helps corporations, governments, and the critical infrastructure sector protect their futures by detecting cyber threats to sensitive data, networks, trade secrets, and reputations, which other network security products miss.
MENDEL is based on 10 years of extensive academic research and is designed using the same technology which was successful in four US-based NIST Challenges.
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