Fidelis LRM Integrations

To successfully identify advanced threats, it is crucial to perform detailed inspections, extractions, and real-time analyses of all content moving through the network. Fidelis' network detection and response technology meticulously examines all ports and protocols in both directions, collecting extensive metadata that forms the basis for powerful machine-learning analytics. By employing sensors to monitor internal communications, email, web, and cloud interactions, organizations can achieve complete visibility and coverage across their networks. The tactics, techniques, and procedures (TTPs) used by detected attackers are mapped to the MITRE ATT&CK™ framework, empowering security teams to proactively combat potential threats. Although threats may try to avoid detection, they are ultimately unable to escape scrutiny. Organizations can also automatically profile and classify IT assets and services, which includes enterprise IoT devices, legacy systems, and shadow IT, thus constructing a comprehensive overview of their cybersecurity landscape. Additionally, when combined with Fidelis' endpoint detection and response capabilities, users gain an inventory of software assets linked to known vulnerabilities such as CVE and KB references, along with an evaluation of security hygiene pertaining to patches and endpoint statuses. This thorough and strategic approach provides organizations with the necessary tools to uphold a strong cybersecurity posture, ensuring ongoing protection against evolving threats. Ultimately, fostering a culture of continuous improvement in cybersecurity practices can further enhance resilience against future attacks.