Best User and Entity Behavior Analytics (UEBA) Software for Dropbox

Reveal Security ITDR detects identity threats - post authentication - in and across SaaS applications and cloud services. Powered by unsupervised machine learning, it continuously monitors and validates the behavior of trusted human users, APIs and other entities, accurately detecting anomalies that signal an in-progress identity threat.

Leverage robust analytics from your user behavior API to gain insights into customer interactions and enhance their experiences. Swiftly address challenges with detailed high-cardinality API logs that allow for in-depth analysis based on API parameters, body fields, customer characteristics, and additional factors. Achieve a comprehensive understanding of the users engaging with your APIs, their usage patterns, and the data payloads they transmit. Identify critical points where users disengage within your conversion funnel and learn how to refine your product strategy accordingly. Automatically notify customers who are nearing rate limits, utilizing deprecated APIs, and exhibiting other significant behaviors. Gain insights into how developers are integrating your APIs and track essential funnel metrics such as activation rates and Time to First Hello World (TTFHW). Segment developers by demographic information and marketing attribution SDKs to uncover strategies that will enhance your key performance indicators, ensuring that you concentrate on the activities that drive the most impact while continuously adapting your approach based on analytics. By monitoring these elements, you can foster a more effective relationship with your API users and encourage sustained engagement.

Netwrix Threat Manager is an advanced threat detection solution built to help organizations identify and respond to cyber threats in real time. It uses machine learning and behavioral analytics to establish normal activity patterns and detect anomalies. The platform monitors key systems such as Active Directory, Entra ID, and file environments to uncover suspicious behavior. It helps detect a wide range of threats, including ransomware activity, insider threats, and unauthorized access attempts. Netwrix Threat Manager connects individual events into complete attack chains, making it easier for security teams to investigate incidents. The solution also provides automated response capabilities to block and contain threats as they occur. It includes honeytoken deception techniques that help identify attackers attempting to access sensitive resources. The platform improves visibility by providing detailed insights into user behavior and system activity. It supports faster incident response by prioritizing critical threats and reducing investigation time. Netwrix Threat Manager integrates with existing security tools and infrastructure. By combining detection, analysis, and response, it helps organizations improve their ability to prevent and manage security incidents.

Our security controls, driven by data science, facilitate the automation of advanced threat detection, remediation, and response. Gurucul’s Unified Security and Risk Analytics platform addresses the crucial question: Is anomalous behavior truly a risk? This unique capability sets us apart in the industry. We prioritize your time by avoiding alerts related to non-risky anomalous activities. By leveraging context, we can accurately assess whether certain behaviors pose a risk, as understanding the context is essential. Merely reporting what is occurring lacks value; instead, we emphasize notifying you when a genuine threat arises, which exemplifies the Gurucul advantage. This actionable information empowers your decision-making. Our platform effectively harnesses your data, positioning us as the only security analytics provider capable of seamlessly integrating all your data from the outset. Our enterprise risk engine can absorb data from various sources, including SIEMs, CRMs, electronic medical records, identity and access management systems, and endpoints, ensuring comprehensive threat analysis. We’re committed to maximizing the potential of your data to enhance security.

Acceptto observes user behavior, transaction patterns, and application interactions to build a comprehensive user profile tailored to each application environment, allowing it to assess whether access attempts are valid or pose a security risk. The system operates without relying on traditional passwords or tokens. By leveraging its risk engine, Acceptto evaluates the legitimacy of access attempts by monitoring user and device posture before, during, and after the authentication process. In a landscape where identities face continuous threats, we provide a seamless, step-up authentication procedure complemented by real-time threat analytics. The risk score generated by our advanced AI and machine learning algorithms determines a dynamic level of assurance (LoA) for each access attempt. Our innovative strategy automatically identifies the most effective policy for every transaction, optimizing security while reducing user friction through AI-driven insights. This ensures a streamlined user experience that upholds robust security standards across the enterprise. In essence, Acceptto redefines security by integrating advanced technology with user-centric design.