Best User and Entity Behavior Analytics (UEBA) Software in India

Acceptto monitors user behavior and transactions to create an enhanced user profile for each application landscape. This allows Acceptto to verify that access attempts are legitimate and safe. There are no passwords or tokens required. Acceptto's risk engine determines whether an attempt to access a user's account is legitimate or not. It tracks the user and device postures pre-authentication, during authentication and after-authorization. In an age where identities are constantly being attacked, we provide a continuous, step up authentication process with real time threat analytics. A dynamic level of assurance (LoA), is calculated based on a risk score that we have developed using our AI/ML algorithms. Our machine learning and AI analytics combine to automatically find the best policy for each transaction, maximising security and minimizing friction. This allows for a smoother user experience, without compromising enterprise security.

We provide a quick and comprehensive assessment to determine and measure the risky user actions. We also offer suggestions on how to plug them before they cause harm. e-Safe Compliance is a custom-built compliance solution that covers all requirements of major regulations to ensure that your company is safe. Traditional DLP relies on rigid blocking schemes that can slow down productivity. e-Safe's People-Centric DLP implements a protection system based on education and trust. Key information is protected using multi-level encryption. Machine learning user behaviour analytics is used to detect malicious user actions. The detection time is reduced by allowing the information owners to participate in the monitoring process. Human error is the greatest threat to sensitive data security, as it has been proven repeatedly.

Visibility, analytics and automated control all converge into one solution. Security analysts can eliminate complexity with UEBA's automated policy enforcement, comprehensive user risk scoring, and simplified security. Combining DLP and behavioral analytics gives you a 360-degree view of user actions and intent across the enterprise. Use out-of-the box analytics to create risk models that meet your organization's specific needs. An at-a glance view of users ranked according to risk allows you to quickly identify risk trends within your organization. For a complete view of all users interfacing across the enterprise, leverage your entire IT ecosystem including chat data and unstructured data sources. Deep context driven by machine learning and big data analytics allows you to understand user intent. Unlike traditional UEBA, insights can be used to prevent loss and take action. Fast detection and mitigation will help you protect your people and data from insider threats.

30 percent of data breaches are caused by insiders committing negligence or malicious acts. Because they have access to proprietary systems, insiders pose a unique threat for organizations. They can often bypass security measures, creating an opportunity for security blind spots to security teams and risk managers. Fortinet's User and Entity Behavior Analytics technology (UEBA), protects organizations against insider threats by monitoring users and endpoints continuously with automated detection and response capabilities. FortiInsight uses machine learning and advanced analytics to automatically identify suspicious or unusual behavior and alert any compromised accounts. This proactive approach to threat detection provides an additional layer of protection, visibility, and protection for users on and off the corporate network.

User-based threats such as compromised accounts or malicious insiders continue increasing risk and exposure across organizations, adding complexity and complexity to the already difficult task of defending against an ever-changing threat landscape. LogRhythm's user entity behavior analytics (UEBA), UserXDR automatically identifies and prioritizes suspicious user behavior. This allows for greater visibility and efficiency in the detection of malicious threats. Rapidly identify and investigate suspicious behavior to uncover unknown threats. Additional corroboration using user-based risk scores can reduce false positives. Automated response actions can be used to immediately respond to malicious activity. Behavioral analysis creates baselines and user scores that allow for prioritization and evidence-based start points to enhance investigations.

Cysiv's next generation, co-managed SIEM addresses all the problems and limitations associated with traditional SIEMs as well as other products used in a SOC. Our cloud-native platform automates key processes and improves effectiveness in threat detection, hunting and investigation, as well as response. Cysiv Command combines the essential technologies needed for a modern SOC into a unified cloud-native platform. It is the foundation of SOC-as a-Service. Most telemetry can either be pulled from APIs, or sent securely over the internet to Cysiv Command. Cysiv Connector is an encrypted conduit that allows you to send all required telemetry from your environment, such as logs, over Syslog UDP. Cysiv's threat engine uses a combination of signatures, threat intelligence and user behavior to automatically detect potential threats. Analysts can focus on the most important detections.

UBA self-learning solution builds baseline behavioral profiles for your end users and triggers real-time alerts if it detects anomalous behavior, reducing insider threats exponentially. UBA tool creates a ring fence around all the endpoints of your IT infrastructure and helps you monitor it from a single command center, making sure that no end user is left unattended at any point. The AI-powered solution creates baseline profiles of each user and alerts you when they change from their normal behavior patterns. This helps you to prevent insider threats. Secure and control access to business-critical applications.

Business management can intervene if they find suspicious files or user activities. This user and entity behaviour analytics (UEBA), solution applies sophisticated rules-based modeling to the data sources to establish patterns of normal behavior and determine suspicious activities. The analysis can reduce the likelihood of insider threats, as they are difficult for privileged users to detect because they have specific knowledge about security controls and ways to bypass them. Detect anomalous events, such as logins using the user IDs of previous employees, users logging in simultaneously from multiple locations, or unauthorized user retention of sensitive files. Monitor file-based risk, such as unauthorized attempts to decrypt sensitive files. Monitor user-based risk, such as users decrypting files frequently, printing more files after normal business hours, and sending more files to external recipients than usual.

The Cognitive Security Platform®, (CSP), is a threat- and omnichannel fraud prevention solution that protects digital businesses. It minimizes the risks associated with digital financial services (home banking, digital payments) and reduces user experience. We offer a fully packaged, ready-to-use solution that can be deployed in lightning-fast time and is digital-ready. Cognitive Security Platform®, with its modularity, allows you to activate the functions that you need to make your digital company safer. Combining AI proprietary algorithms with behavioral biometrics, behavioral analysis, and behavioral biometrics, the platform provides a frictionless user experience while ensuring the highest level security. You can also use our anti-fraud tools to protect different channels. The omnichannel view allows you to manage all fraud from one console. This avoids vertical management.

LinkShadow Network Detection and Response NDR ingests traffic and uses machine-learning to detect malicious activities and to understand security threats and exposure. It can detect known attack behaviors and recognize what is normal for any organization. It flags unusual network activity that could indicate an attack. LinkShadow NDR can respond to malicious activity using third-party integration, such as firewall, Endpoint Detection and Response, Network Access Control, etc. NDR solutions analyze the network traffic in order to detect malicious activities inside the perimeter, otherwise known as the "east-west corridor", and support intelligent threat detection. NDR solutions passively capture communications over a network mirror port and use advanced techniques such as behavioral analytics and machine-learning to identify known and unidentified attack patterns.

ProfileCenter is the tool that helps to highlight employees' strengths, detect criminal propensity and manage the team more efficiently. The tool discloses fraudulent activity, enhance personnel management techniques, helps to increase productivity and assess risks caused by personality traits that can harm colleagues or a company.