Riverbed NetProfiler vs. Darktrace / NETWORK

Cybercriminals continuously seek out new strategies to breach your security measures, and as you implement protective protocols, they skillfully take advantage of any weaknesses present. Therefore, having a strong network security solution is crucial to maintaining both the integrity and accessibility of your system. Riverbed NetProfiler transforms network data into actionable security intelligence, providing essential visibility and forensic capabilities for thorough threat detection, analysis, and response. By diligently capturing and storing all network flow and packet information within your organization, it grants you the critical insights necessary to detect and examine advanced persistent threats that might bypass conventional preventative measures, along with those threats that originate internally. Among the prevalent disruptions to business operations are Distributed Denial of Service (DDoS) attacks, which frequently target essential infrastructures such as power plants, healthcare facilities, educational institutions, and government agencies. Safeguarding against these dangers involves more than just defense; it is about ensuring the continued functionality of vital services that society depends on. Consequently, a proactive approach to network security is essential in mitigating risks and fostering resilience in the face of evolving cyber threats.

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.