Uncover more hidden threats in your network with our advanced security intelligence. Progress® Flowmon® provides a more comprehensive view of risks before they escalate.
Employ adaptive baselines and machine learning to uncover potential threat footprints that conventional methods may miss.
Harness your network, the single source of truth in cybersecurity that helps reveal infiltration and attack patterns.
Bridge the gap between network, perimeter and endpoint security that attackers use to evade protection.
When prevention falls short, leverage early detection and response with insights to reduce the overload of security events to manage.
Perimeter security is primarily designed to block external attacks, while endpoint security focuses on protecting individual devices. However, endpoint security often fails to cover up to 50% of network-connected devices, creating substantial vulnerabilities. Network-level detection fills this gap, monitoring both internal and external threats across your IT environment and device types. Combining AI with signatures, Flowmon identifies many indicators of compromise (IoC), crucial for early warning at every stage of the attack lifecycle, from infiltration to reconnaissance and data exfiltration.
Improve your cybersecurity resilience with Flowmon’s powerful features.
Detect many unknown threats early and automatically thanks to 40+ AI-based methods and 200+ algorithms with noise-free insights.
Traditional endpoint security neglects up to 50% of network-connected devices like printers, IoT devices, appliances and various closed systems, routers or cameras. Reduce the chances of these devices turning into entry points for attackers.
Detect more indicators of compromise in all lifecycle stages, from initial access to lateral movement or data exfiltration.
Lower security risks by helping to identify non-compliant, high-risk assets using both AI-powered capabilities and manual analytics.
Collect, store and retrieve network security data to better enable effective threat hunting and support the AI-based detection with concise evidence.
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