Compare Darktrace / NETWORK vs. Rilevera

Darktrace / NETWORK is an advanced AI-driven solution designed for network detection and response, aiming to thwart, identify, scrutinize, and manage both recognized and novel threats in contemporary environments. Utilizing its Self-Learning AI, the system operates directly on an organization’s data, adapting to the typical behavior of each device, user, connection, and attack vector, thereby detecting anomalies without relying on predefined signatures, past attack data, or generalized models. This solution offers comprehensive visibility across various infrastructures, including on-premises, virtual, cloud, and hybrid networks, as well as remote endpoints, operational technology (OT) devices, zero-trust network access (ZTNA), and traffic in both encrypted and decrypted forms. Moreover, it continuously refines its detection capabilities to enhance precision and minimize alert fatigue without the need for manual rule updates. The Cyber AI Analyst conducts thorough investigations at scale, forms theories, derives conclusions, ranks incidents based on potential business repercussions, and links occurrences across network, endpoint, cloud, identity, OT, email, and remote systems, ensuring a robust defense against cyber threats. Thus, organizations can benefit from a proactive security posture that evolves in tandem with emerging challenges.

Rilevera functions as an AI Detection Engineer that consistently assesses, enhances, and oversees detection mechanisms across SIEM, EDR, and various data platforms, allowing security teams to concentrate on neutralizing genuine threats rather than pursuing ineffective rules. It meticulously validates detection logic, checks telemetry dependencies, and ensures schema integrity across diverse platforms, promptly detecting when a rule fails or essential data is lost. The AI-driven detection optimization leverages performance metrics, trends in false positives, overlaps, and the quality of logic to propose enhancements and seamlessly integrate validated updates back into operational platforms. Conducting Coverage and Gap Analysis, it aligns detections and telemetry with MITRE techniques and recognized threat actors, enabling teams to pinpoint vulnerabilities and prioritize the creation of new rules. Structured workflows for design, validation, peer review, and managed deployment inject both discipline and efficiency into the detection lifecycle. Additionally, Rilevera's ongoing evaluation of detection performance serves to enhance signal quality, alleviate alert fatigue, and ultimately bolster the overall effectiveness of security measures. Through its innovative approach, Rilevera empowers security teams to work more efficiently and effectively against potential threats.