Fidelis Network vs. Darktrace / NETWORK

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.

Darktrace / NETWORK is a cutting-edge AI-powered platform specifically engineered for network detection and response, with the goal of preventing, identifying, examining, and managing both established and emerging threats in today's digital landscapes. By leveraging its Self-Learning AI, the platform engages directly with an organization’s data, adjusting to the normal behaviors of individual devices, users, connections, and attack methods, thus enabling the detection of anomalies without the dependence on prior attack data, established signatures, or broad models. This solution provides extensive visibility across a range of environments, including on-premises, virtual, cloud, hybrid networks, remote endpoints, operational technology (OT) devices, and zero-trust network access (ZTNA), while also monitoring traffic in both encrypted and decrypted states. In addition, it continuously enhances its detection abilities to improve accuracy and reduce alert fatigue, all without the necessity for manual rule adjustments. The Cyber AI Analyst performs in-depth investigations at scale, generating hypotheses, drawing conclusions, prioritizing incidents based on their potential impact on the business, and correlating events across network, endpoint, cloud, identity, OT, email, and remote systems, which fortifies the defense against cyber threats. Consequently, organizations can achieve a proactive security stance that adapts alongside evolving challenges and threats in the digital world. This adaptive approach ensures that security measures remain effective and relevant in the face of ever-changing threat landscapes.