CrowdStrike Falcon
CrowdStrike Falcon is a cloud-native cybersecurity platform that provides advanced protection against a wide range of cyber threats, including malware, ransomware, and sophisticated attacks. It leverages artificial intelligence (AI) and machine learning to detect and respond to threats in real time, offering endpoint protection, threat intelligence, and incident response capabilities. The platform uses a lightweight agent that continuously monitors endpoints for signs of malicious activity, providing visibility and protection without significant impact on system performance. Falcon’s cloud-based architecture ensures fast updates, scalability, and rapid threat response across large, distributed environments. Its comprehensive security features help organizations prevent, detect, and mitigate potential cyber risks, making it a powerful tool for modern enterprise cybersecurity.
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Securonix Unified Defense SIEM
Built on big data, Securonix Unified Defense SIEM combines log management, user and entity behavior analytics (UEBA), and security incident response into a complete, end-to-end security operations platform. It collects massive volumes of data in real-time, uses patented machine learning algorithms to detect advanced threats, and provides artificial intelligence-based security incident response capabilities for fast remediation. The Securonix platform automates security operations while our analytics capabilities reduces noise, fine tunes alerts, and identifies threats both inside and out of the enterprise. The Securonix platform delivers analytics driven SIEM, SOAR, and NTA, with UEBA at its core, as a pure cloud solution without compromise. Collect, detect, and respond to threats using a single, scalable platform based on machine learning and behavioral analytics. With a focus on outputs, Securonix manages the SIEM so you can focus on responding to threats.
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Securonix UEBA
Today, many attacks are specifically built to evade traditional signature-based defenses, such as file hash matching and malicious domain lists. They use low and slow tactics, such as dormant or time triggered malware, to infiltrate their targets. The market is flooded with security products that claim to use advanced analytics or machine learning for better detection and response. The truth is that all analytics are not created equal. Securonix UEBA leverages sophisticated machine learning and behavior analytics to analyze and correlate interactions between users, systems, applications, IP addresses, and data. Light, nimble, and quick to deploy, Securonix UEBA detects advanced insider threats, cyber threats, fraud, cloud data compromise, and non-compliance. Built-in automated response playbooks and customizable case management workflows allow your security team to respond to threats quickly, accurately, and efficiently.
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OpenText Core Behavioral Signals
OpenText™ Core Behavioral Signals is an advanced threat detection solution that leverages user entity behavior analytics (UEBA) and 100% online, unsupervised machine learning to identify behavioral anomalies within an organization. It enables security teams to detect insider risks, novel attacks, and advanced persistent threats without relying on predefined rules or manual updates. The platform continuously adapts to evolving organizational behaviors, improving threat hunter effectiveness and reducing false positives. Analysts can transform billions of events into a manageable number of actionable threat leads, enhancing efficiency. It also features dynamic dashboards and detailed anomaly timelines to provide clear insights into risk over time. Integration with existing security systems and APIs supports streamlined threat hunting and response.
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