The Progress® Flowmon® platform delivers enterprise-grade IDS protection that actively monitors your network, detects threats in real time, and alerts you before damage is done, so you stay in control.
Modern threats evolve faster than traditional defenses. Cyberattacks are more sophisticated, stealthy and persistent than ever. Traditional perimeter defenses alone can’t keep up. Without an intelligent IDS solution, your organization is vulnerable to:
Breaches often go unnoticed for weeks.
Too many false positives overwhelm your team.
Blind spots leave you exposed.
Missed threats can lead to costly violations.
In combination with its AI-powered behavior analysis, Flowmon Intrusion Detection System delivers real-time threat detection and deep network visibility across any infrastructure—on-premises, cloud or hybrid.
Catch a wider range of threats, from traditional malware to sophisticated zero-day exploits by combining signature-based detection with AI-powered behavior analysis.
Gain precise identification about the attack’s severity, scope and future development and facilitate prompt triage and response with full detail of the event at hand.
Maintain consistent, real-time monitoring across hybrid environments, providing seamless protection wherever your infrastructure resides—whether on-premises, in the cloud or both.
The Flowmon platform enhances security by merging signature-based detection with AI-powered adaptive learning and global threat intelligence. This multi-layered approach fortifies IT environments against both known and unknown threats and evolving ransomware attacks.
Flowmon NDR + IDS engine | Traditional IDS | |
---|---|---|
Typical Deployment | Network Wide | Network Perimeter |
Signature-based Detection of Known Threats | ||
External Attacks | — | |
Insider Threats | — | |
East-west Coverage | — | |
AI Ransomware Detection of Unknown Threats | — | |
Enterprise-grade Threat Intelligence | — | |
Native Cloud Support |
Enables the system to uncover anomalies and suspicious behaviors that traditional methods might miss via advanced entropy modeling and machine learning algorithms to continuously analyze network traffic. This intelligent approach provides early detection of threats, helping security teams respond faster and more effectively to potential breaches.
Identifies threats that have never been seen before, including insider activities and zero-day attacks with deep pattern traffic analysis. By focusing on behavioral anomalies rather than known signatures, it provides a proactive defense against emerging and stealthy threats.
Monitors network activity using over 200 algorithms and more than 40 detection methods to establish a baseline of normal behavior. Any deviation from this baseline is flagged for investigation, allowing for precise detection of subtle and sophisticated attacks.
Integrates the intrusion detection engine to identify known threats using a robust library of signatures. This method complements behavioral and anomaly-based detection by providing high-confidence alerts for recognized attack patterns.
Combines data from both commercial and community sources to enrich detection capabilities with real-time threat indicators. This integration enhances the system’s ability to recognize known malicious actors and respond to threats with greater speed and accuracy.
Delivers automated security intelligence reports that include retrospective analysis of past exposures. These briefings provide detailed descriptions of threats and recommended mitigation steps, empowering security teams with actionable insights to strengthen their defenses.
Aligns detected threats with the globally recognized MITRE ATT&CK matrix, categorizing each event by tactics and techniques used by adversaries. This structured mapping provides clear context for understanding attacker behavior, helping security teams prioritize responses, close security gaps and improve threat hunting with a standardized, intelligence-driven approach.
Triggers the moment suspicious activity is detected, helping preserve that full packet data for forensic analysis. This capability allows investigators to reconstruct events in detail and understand the full scope of an incident.
Provides rich contextual information for each detected event, including affected assets, communication patterns and historical data. This depth of insight accelerates triage and root-cause analysis, enabling faster and more informed decision-making.
Identifies and mitigates vulnerabilities across the network by continuously analyzing exposure points. This proactive approach helps minimize the risk of exploitation and strengthens the overall security posture.
Enables seamless connectivity with SIEM and SOAR platforms, centralizing alert management and incident response workflows. This integration streamlines operations and addresses critical threats with accuracy and speed.
Allows security teams to define rules tailored to their specific environment, enabling the detection of unique threats that standard signatures may not cover. This flexibility enhances the relevance and precision of threat detection.
Facilitates integration with third-party tools and platforms, allowing organizations to automate security operations and orchestrate responses efficiently. This capability boosts operational agility and reduces the time to respond to incidents.
"Flowmon's functionalities help us identify, investigate and eliminate anomalies in our network communication. It helps us identify malicious behavior in the usage of our systems and applications."
Marian KlacoDirector of Chief Information Security Officer, VOLKSWAGEN