SIEM & Beyond
RSA NetWitness® Suite
If you’re using a traditional, log-centric SIEM, many threats are falling through the cracks. Ensure you have full visibility into endpoints and network traffic, not just logs. RSA NetWitness Suite lets you see everything so that you can react quickly to threats. Don’t just log them – stop them!
- Winner of Frost & Sullivan's 2016 Global Network Security Forensics Enabling Technology Leadership Award.
- Best SIEM – 2015 & 2016 – American Security Today Homeland Security Award.
SIGN UP FOR DEMO
Significant reductions in threat detection, investigation, response and remediation times by monitoring a much broader set of attack vectors than traditional log-based SIEMs. Additionally, provides analysts with a deeper understanding of attacks through crowd sourced threat intelligence and business context.
Automates correlation and analysis of data from disparate sources (including third-party systems) enriches the data with threat intelligence and business context in real time so that analysts can quickly grasp the full scope of an attack.
Provides quantitative data about your company’s cybersecurity posture that you can share with top executives and that can help you make a compelling business case for budget increases or operational improvements.
Integrated, real-time behavioral analytics platform yields more accurate alerts, minimizes false positives and eliminates the “noise” stemming from log-based and siloed approaches to security analytics.
Helps analysts and incident responders prioritize their activity by providing them with a single pane of glass, along with deep insights for investigating and visually reconstructing an attack across logs, network data and detailed endpoint information.
Single, Unified Platform for All Your Data
RSA NetWitness Logs & Packets collects and aggregates data across capture points (packet, log, endpoint), compute platforms (physical, virtual, cloud), threat intelligence sources (RSA experts, third-party feeds, RSA customers), and other SIEM and preventative security systems.
Automated Behavior Analytics
A unique advanced analytics engine looks for potentially malicious activity across logs and NetFlow, as well as full network packets and endpoints (where much of today’s advanced threats tend to manifest themselves). The real-time analytics engine uses data science learning techniques to observe traffic in the enterprise, baseline what’s “normal” and identify anomalies that may be leading indicators of an attack.
End-to-End Security Operations
The only platform for managing security operations programs from end to end. RSA NetWitness Logs & Packets has built-in incident triage capabilities and a wide array of dashboards and reports so that analysts and managers can get instant feedback on specific issues or the overall state of their security operations environment.
Integrated Threat and Business Context
Combining and correlating data from multiple sources (e.g., log, packet, endpoint, threat intelligence, etc.) gives context to alerts, speeds identification of new and unknown threats, and facilitates prioritization of investigations and incident response. The breadth and depth of data allows analysts to see whether specific threats are targeting a single system or multiple systems, and of those systems, which are most critical to the business.
Provides a workbench for triaging alerts and incidents with an interface designed specifically for security investigations. Analysts can natively and visually reconstruct network attacks and data exfiltration attempts in their entirety.
Flexible, Scalable Architecture
Offering maximum deployment flexibility, RSA NetWitness Logs & Packets can be scaled and deployed incrementally according to an organization’s needs and security priorities—whether with a single appliance or dozens, partial or fully virtualized deployments, on premise or in the cloud.
RSA NetWitness Logs & Packets detects threats and discovers cyber attacks that evade log-centric SIEM and signature-based tools. RSA NetWitness Logs & Packets allows security teams to better understand and reconstruct attacks, which in turn helps security operations teams implement more effective remediation plans.
Log-centric SIEMs have not evolved to meet today’s security challenges. They have several shortcomings that inhibit proactive threat detection: They’re over-reliant on logs and can’t detect attack techniques that evade preventative controls like antivirus software, firewalls and intrusion detection systems. Moreover, as organizations add preventative controls, the amount of data and events SIEMs generate can overwhelm security teams. This leads to more noise, increasing the likelihood that attack indicators will go unnoticed until it’s too late.