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Backed By Darktrace plc
AI-powered cybersecurity platform for threat detection and autonomous response.
Darktrace leverages AI and machine learning to detect, investigate, and autonomously respond to cyber threats in real time. Its platform covers cloud, network, endpoint, and IoT security.
Detect novel and evolving threats
Monitor cloud, network, and endpoints
Automate threat mitigation
Integrate with SOAR and SIEM
Investigate incidents with AI
Real-time visibility and analytics
Up to 300 Mbps of average bandwidth
Up to 2 Gbps average bandwidth
Up to 5 Gbps average bandwidth
Self-Learning AI / Enterprise Immune System for behavioral anomaly detection
Autonomous Response (Darktrace Antigena) to stop in-progress attacks
Cyber AI Analyst for automated incident investigation and reporting
Multi-Domain visibility and threat correlation (Network, Email, Cloud, OT, Identity, Endpoint)
Real-time visibility into network traffic, devices, and user activity
Real user experiences from across different platforms
"Darktrace EMAIL is the best email protection tool I have come across; it is completely based on AI with self-learning. The email filtering is so efficient and accurate that no other tool can compete in the market. It automatically detects and applies actions to emails, including links and attachments within them. This tool requires minimal human intervention, which is only when required."
Verified User
N/A
n-prem, cloud, OT, email) that need unified security
, low-quality alerts (alert fatigue)
budgets
network expertise to tune the system
Stops novel, sophisticated, and fast-moving cyber-attacks (like zero-days, supply chain attacks, and advanced ransomware) in real-time, across all domains, using a unique Self-Learning AI that doesn't rely on predefined rules or human intervention, significantly reducing alert fatigue and mean time to containment.
High cost/expensive pricing, especially for smaller or mid-sized companies Steep learning curve and time investment required for initial tuning to reduce false positives "Black Box" factor: AI-driven autonomous actions can sometimes lack detailed explanation The dashboard can be confusing and not intuitive for novice users Scaling cost can be significant across multiple branches/network segments Email scanning requires rerouting mail traffic (journaling approach for M365)