Symantec Network Forensics Integrations

Market-leading SIEM built to outpace the adversary with speed, scale and accuracy As digital threats loom large and cyber adversaries grow increasingly sophisticated, the roles of SOC analysts are more critical than ever. Going beyond threat detection and response, QRadar SIEM enables security teams face today’s threats proactively with advanced AI, powerful threat intelligence, and access to cutting-edge content to maximize analyst potential. Whether you need cloud-native architecture built for hybrid scale and speed or a solution to complement your on-premises infrastructure, IBM can provide you with a SIEM to meet your needs. Experience the power of IBM enterprise-grade AI designed to amplify the efficiency and expertise of every security team. With QRadar SIEM, analysts can reduce repetitive manual tasks like case creation and risk prioritization to focus on critical investigation and remediation efforts.

Turn data into answers with Splunk deployed and managed securely, reliably and scalably as a service. With your IT backend managed by our Splunk experts, you can focus on acting on your data. Splunk-provisioned and managed infrastructure delivers a turnkey, cloud-based data analytics solution. Go live in as little as two days. Managed software upgrades ensure you always have the latest functionality. Tap into the value of your data in days with fewer requirements to turn data into action. Splunk Cloud meets the FedRAMP security standards, and helps U.S. federal agencies and their partners drive confident decisions and decisive actions at mission speeds. Drive productivity and contextual insights with Splunk’s mobile apps, augmented reality and natural language capabilities. Extend the utility of your Splunk solutions to any location with a simple phrase or the tap of a finger. From infrastructure management to data compliance, Splunk Cloud is built to scale.

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.

VirusTotal inspects items with over 70 antivirus scanners and URL/domain blocklisting services, in addition to a myriad of tools to extract signals from the studied content. Any user can select a file from their computer using their browser and send it to VirusTotal. VirusTotal offers a number of file submission methods, including the primary public web interface, desktop uploaders, browser extensions and a programmatic API. The web interface has the highest scanning priority among the publicly available submission methods. Submissions may be scripted in any programming language using the HTTP-based public API. VirusTotal can be useful in detecting malicious content and also in identifying false positives, normal and harmless items detected as malicious by one or more scanners. As with files, URLs can be submitted via several different means including the VirusTotal webpage, browser extensions and the API.

YARA is a tool aimed at (but not limited to) helping malware researchers to identify and classify malware samples. With YARA you can create descriptions of malware families (or whatever you want to describe) based on textual or binary patterns. Each description, a.k.a rule, consists of a set of strings and a boolean expression which determine its logic. YARA-CI may be a useful addition to your toolbelt. This is GitHub application that provides continuous testing for your rules, helping you to identify common mistakes and false positives. The above rule is telling YARA that any file containing one of the three strings must be reported as silent_banker.