Darktrace / NETWORK vs. Darktrace / CLOUD

Darktrace / CLOUD

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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 Darktrace / CLOUD?

Darktrace / CLOUD is an AI-powered platform designed to detect and respond to cyber threats, with a focus on bolstering cyber resilience in hybrid and multi-cloud environments. By leveraging its Self-Learning AI capabilities, it continuously monitors cloud assets, containers, APIs, user behavior, and network activities to create a baseline of normalcy, enabling it to swiftly recognize both known and novel threats. The Cyber AI Analyst streamlines alert triage and accelerates the investigation process, while the Autonomous Response feature efficiently neutralizes malicious actions without disrupting existing cloud infrastructure or services. This solution provides ongoing, real-time visibility into the dynamic nature of cloud architectures, workloads, access rights, and live threat detection, fostering collaboration across SecOps and DevOps teams through a shared understanding. It effectively identifies and prioritizes issues like misconfigurations, excessive permissions, vulnerable devices, and significant attack vectors in relation to business needs, thereby supporting proactive risk management and maintaining cloud compliance. Moreover, the incorporation of advanced analytics enables organizations to continually adjust their security strategies in response to the evolving nature of their cloud environments, ensuring they remain protected against emerging threats. This adaptability not only enhances the overall security posture but also empowers teams to respond more effectively to incidents as they arise.