Darktrace / NETWORK vs. COSGrid NetShield

COSGrid NetShield

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What is Darktrace / NETWORK?

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.

What is COSGrid NetShield?

COSGrid NetShield is an advanced Network Detection and Response solution leveraging big data and machine learning to offer both real-time and historical insights, along with baseline creation, correlation analysis, anomaly detection, and threat mitigation capabilities. Key Benefits: - Continuous Traffic Monitoring: It perpetually examines raw network traffic and flow records to establish a standard for typical network activity. - Anomaly Identification: Utilizing machine learning and various analytical methods, it identifies potentially malicious traffic that does not rely on traditional signature-based detection. - Automated Threat Response: By scrutinizing east-west traffic patterns, it can identify lateral movements within a network and implement automated countermeasures to address potential threats. This comprehensive approach ensures that organizations can maintain a robust defense against evolving cyber threats.