Arista NDR vs Darktrace vs Splunk User Behavior Analytics comparison

Arista NDR (formerly Awake Security) is the only advanced network detection and response company that delivers answers, not alerts. By combining artificial intelligence with human expertise, Arista NDR hunts for both insider and external attacker behaviors, while providing autonomous triage and response with full forensics across traditional, IoT, and cloud networks. Arista NDR delivers continuous diagnostics for the entire enterprise threat landscape, processes countless network data points, senses abnormalities or threats, and reacts if necessary—all in a matter of seconds. The Arista NDP platform stands out from traditional security because it is designed to mimic the human brain. It recognizes malicious intent and learns over time, giving defenders greater visibility and insight into what threats exist and how to respond to them. 

The Advent of Advanced Network Detection and Response & Why it Matters

The 5 Levels of Autonomous Security paper

Darktrace is a leading cybersecurity solution that leverages artificial intelligence and machine learning to provide advanced threat detection, response, and risk management capabilities. Many reviewers find Darktrace's AI and machine-learning capabilities to be valuable. They appreciate its ability to detect anomalies and threats that might go unnoticed by traditional security tools. Overall, the general sentiment towards Darktrace from reviewers is positive. Users seem to appreciate its scalability, stability, AI capabilities, visibility, and ease of use.

Darktrace offers a proactive and intelligent approach to cybersecurity. It utilizes AI algorithms to learn and understand the 'pattern of life' for every user and device within a network. This understanding enables it to detect anomalies that could signify a cyber threat, from subtle insider threats to more obvious ransomware attacks.

Its adaptability, autonomous response features, and comprehensive network visibility make it a top-tier solution for different sizes of organizations and across many industries. It was named one of TIME magazine’s ‘Most Influential Companies’ in 2021 and protects over 8,800 organizations globally from advanced cyber threats.

Darktrace Cyber AI Loop

The Darktrace Cyber AI Loop introduces an advanced artificial intelligence-based system for cybersecurity, designed to build a self-improving defense mechanism. This system functions like a closed loop, where each stage feeds information and insights into the next, amplifying the overall effectiveness of the platform.

The key components of the loop are:

• DETECT - An AI engine that monitors your network and endpoints for anomalous activity, constantly learning the normal behavior of your users and devices. It identifies suspicious patterns and potential threats in real-time, even from never-before-seen attacks.
• PREVENT - This proactive arm analyzes vulnerabilities and identifies weaknesses in your IT infrastructure. It prioritizes patching and configuration changes to harden defenses before attackers can exploit those vulnerabilities.
• RESPOND - When DETECT identifies a threat, RESPOND takes immediate action to contain and neutralize it. This can involve isolating compromised devices, disrupting attacker activity, and automatically escalating critical incidents to human analysts.
• HEAL - This newest addition to the loop focuses on post-incident recovery. It automatically restores compromised systems, cleans infected files, and helps to prevent the attack from spreading further.

Darktrace's AI algorithms can identify threats that traditional security tools might miss. It continuously learns and updates its understanding of what is normal for each environment, ensuring that it can quickly detect and respond to unusual activities that could indicate a breach. Darktrace's Antigena module can autonomously respond to threats in real time. This is particularly crucial in containing fast-moving threats like ransomware, where every second counts. 

Darktrace's solution provides unparalleled visibility into all parts of the network, including cloud services, IoT devices, and industrial control systems. This comprehensive coverage ensures that no part of the network is left unprotected. However, while the Darktrace Cyber AI Loop offers a robust solution, it is not a complete cure-all and requires careful implementation and integration with existing security frameworks.Darktrace offers a comprehensive and unified approach to cybersecurity. It provides continuous protection against known and unknown threats, regardless of where they emerge. Darktrace's solutions provide visibility into your cloud infrastructure, continuous monitoring of application usage and communication patterns (e.g., identification of suspicious actions like unauthorized data access), comprehensive email security that goes beyond traditional spam and phishing filters, real-time protection for endpoints, and continuous monitoring of network traffic and device activity.

Darktrace also provides specialized coverage to secure your zero-trust architecture. Identifies compromised identities, unauthorized access attempts, and risky data exfiltration within a least-privilege environment. Finally, it has a dedicated solution for safeguarding industrial control systems and critical infrastructure. Monitors communication patterns, device behavior, and physical access within OT environments, protecting against operational disruptions and cyberattacks.

Splunk User Behavior Analytics is a behavior-based threat detection is based on machine learning methodologies that require no signatures or human analysis, enabling multi-entity behavior profiling and peer group analytics for users, devices, service accounts and applications. It detects insider threats and external attacks using out-of-the-box purpose-built that helps organizations find known, unknown and hidden threats, but extensible unsupervised machine learning (ML) algorithms, provides context around the threat via ML driven anomaly correlation and visual mapping of stitched anomalies over various phases of the attack lifecycle (Kill-Chain View). It uses a data science driven approach that produces actionable results with risk ratings and supporting evidence that increases SOC efficiency and supports bi-directional integration with Splunk Enterprise for data ingestion and correlation and with Splunk Enterprise Security for incident scoping, workflow management and automated response. The result is automated, accurate threat and anomaly detection.