Compare Cisco Secure Malware Analytics vs. Splunk User Behavior Analytics

Secure Malware Analytics, previously known as Threat Grid, merges cutting-edge sandboxing technology with comprehensive threat intelligence to safeguard organizations against malware threats. By leveraging a rich and extensive malware knowledge repository, users can gain insights into the actions of malware, assess its potential risks, and formulate effective defense strategies. This solution efficiently scrutinizes files and detects unusual activities throughout your systems. Security personnel benefit from detailed malware analytics and actionable threat intelligence, enabling them to understand a file's behavior and swiftly address any emerging threats. Secure Malware Analytics evaluates a file's activity in comparison to millions of samples and countless malware artifacts. It effectively pinpoints critical behavioral indicators linked to malware and their corresponding campaigns. Additionally, users can harness the platform's powerful search functionalities, correlations, and comprehensive static and dynamic analyses to enhance their security posture. This comprehensive approach ensures that organizations remain vigilant and prepared against evolving malware challenges.

Protecting against unseen dangers through user and entity behavior analytics is essential. This approach uncovers irregularities and hidden threats that conventional security measures often overlook. By automating the integration of numerous anomalies into a cohesive threat, security analysts can work more efficiently. Leverage advanced investigative features and robust behavioral baselines applicable to any entity, anomaly, or threat. Employ machine learning to automate threat detection, allowing for a more focused approach to hunting with high-fidelity, behavior-based alerts that facilitate prompt review and resolution. Quickly pinpoint anomalous entities without the need for human intervention. With a diverse array of over 65 anomaly types and more than 25 threat classifications spanning users, accounts, devices, and applications, organizations maximize their ability to identify and address threats and anomalies. This combination of human insight and machine intelligence empowers businesses to enhance their security posture significantly. Ultimately, the integration of these advanced capabilities leads to a more resilient and proactive defense against evolving threats.