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

Reveal Security ITDR detects identity threats in and across SaaS applications and cloud services – post authentication. The solution uses a patented unsupervised machine learning algorithm to continuously monitor and validate the behavior of human and machine identities to quickly and accurately alert on suspicious activity. Organizations can protect against account takeover attacks, insider threats, and third party/supply chain risk, after the point of login, without the need for creating rules which are noisy, expensive and also require you to know what you are looking for.

Powerful user behavior API analytics to help you understand customer API usage and create great experiences. Debug issues quickly with high-cardinality API logs. Drill down by API parameters, body fields, customer attributes, and more. Deeply understand who is using your APIs, how they are used, and payloads their sending. Pinpoint where customers drop off in your funnel and see how to optimize your product strategy. Automatically email customers approaching rate limits, using deprecated APIs, and more based on behavior. Understand how developers adopt your APIs. Measure and improve funnel metrics like activation rate and Time to First Hello World (TTFHW). Segment developers by demographic info, marketing attribution SDK used, and more to discover what best improve your north star metrics metrics and focus on the activities that matter.

Threat detection software from Netwrix to detect and respond to abnormal behavior and advanced attacks with high accuracy and speed. IT infrastructures are getting more complex and the volume of sensitive information stored there is skyrocketing. At the same time, the threat landscape is evolving rapidly, with attacks becoming more sophisticated and more costly. Improve your threat management processes and know about anything suspicious happening in your network, whether it’s an external attack or an insider threat, with real-time alerts delivered via email or mobile notifications. Maximize the value of your investments and enhance security across the IT ecosystem by sharing data between Netwrix Threat Manager and your SIEM and other security solutions. Respond immediately upon threat detection by taking advantage of the extensive catalog of preconfigured response actions, or by integrating Netwrix Threat Manager with your own business processes using PowerShell or webhook facilities.

Data science driven security controls to automate advanced threat detection, remediation and response. Gurucul’s Unified Security and Risk Analytics platform answers the question: Is anomalous behavior risky? This is our competitive advantage and why we’re different than everyone else in this space. We don’t waste your time with alerts on anomalous activity that isn’t risky. We use context to determine whether behavior is risky. Context is critical. Telling you what’s happening is not helpful. Telling you when something bad is happening is the Gurucul difference. That’s information you can act on. We put your data to work. We are the only security analytics company that can consume all your data out-of-the-box. We can ingest data from any source – SIEMs, CRMs, electronic medical records, identity and access management systems, end points – you name it, we ingest it into our enterprise risk engine.

Acceptto monitors user behavior, transactions, and application activity to create an enriched user profile within each application landscape and subsequently verify if access attempts are legitimate or a threat. No passwords or tokens are required. Acceptto’s risk engine calculates whether an access attempt is legitimate or not by tracking user and device posture pre-authentication, during authentication, and post-authorization. We deliver a continuous, step-up authentication process with real-time threat analytics in an age when identities are persistently under attack. Based on a risk score computed by our proprietary AI/ML algorithms, a dynamic level of assurance (LoA) is computed. Our approach automatically finds the optimal policy for each transaction to maximize security while minimizing friction for the user with machine learning and AI analytics. This provides a smoother user experience without sacrificing enterprise security.