Protect your network with Advanced NDR
Modern organisations need network detection and response tools (NDR) to support the detection of advanced cyber attacks.
Why moving to an
advanced NDR lowers risk:
Detect advanced threats
Detect threats without complex engineering or tuning. The SenseOn platform is proven to automatically detect TTPs, which NDRs and/or EDR’s working in isolation have missed, reducing the need for custom-built detection logic.
Achieve granular visibility into traditional blind spots
Remote workers can connect/disconnect from the corporate network, transmit/receive E-W and N-S traffic, and seamlessly flow their network traffic through the cloud for enhanced communication, data exchange, and efficiency.
Automatically link detections across endpoint, network and network, to visualise the wider context behind an attack. Remove guesswork and manual pattern matching effort associated with typical SIEM investigations to significantly reduce noise and accelerate MTTR.
Remove guesswork and manual correlation
See SenseOn in action
Achieve rapid time-to-value
A software-only silent install, using minimal resources, requiring no reboot. Instant capability out of the box, requiring no additional data ingestion or professional services to deliver value.
Say goodbye to painful SIEM deployments
With SenseOn's consolidated security platform, organisations can say goodbye to the challenges and expenses associated with cumbersome SIEM deployments.
An advanced NDR solution can solve the pain-points typically experienced when using traditional NDR solutions including:
- High noise/High false-positive rate
- Lacking the context to accurately categorise genuine attacks, leading to blindspots
- High dependency on Security Engineering
- High cost to maintain
Detect threats without complex engineering or tuning. The SenseOn platform is proven to automatically detect TTPs, which NDRs and/or EDR’s working in isolation have missed, reducing the need for custom-built detection logic.
Achieve granular visibility into traditional blind spots
- High noise/High false-positive rate
- Lacking the context to accurately categorise genuine attacks, leading to blindspots
- High dependency on Security Engineering
- High cost to maintain