How well do you keep pace with fast-changing risks? How will SAS Cybersecurity help you in this regard? Well then, read this post to get to know more about this software.
What Is SAS Cybersecurity?
It is software that provides a solid and unifying for enterprise risk assessment. As well as threat detection and managing alerts. Also, its security analytics software addresses the end-to-end life cycle. From data through discovery to deployment.
It is a flexible security analytics software. Usually, it delivers greater network visibility. As well as better security outcomes. Through a unique combination of data, analytics, and collaboration.
Aside from that, you can:
- deploy this software on-site
- Can also be deployed in a private cloud hosted by your organization and external service provider, and
- Public cloud infrastructure
Why Is It Important?
It is important because this security has high-performance computing, applied machine learning, and AI. Unlike the traditional patch of works. Which creates data silos and a fragmented view of risk.
For Whom Does This Security Design For?
Often, Security investigators and analysts use it for earlier detection. They also use SAS cybersecurity for analytics-driven risk indicators. As well as custom event detection models, etc.
What Are The Benefits Of SAS Cybersecurity?
First, it can elevate your security outcomes. How? Simply by:
- Reducing time to detect and respond to security incidents
- It helps to gain visibility into overall organizational risk. As well as specific devices at risk
- Reduces false positives without limiting results
Second, it can elevate your security resources. In what way? That is by:
- Providing analytics-driven guidance for security investigations
- It also reduces the amount of time and effort for preparing and managing data
- Connects the gap between cybersecurity and data science with easy to interpret analytics
Third, it elevates your data and analytics environment. That is through:
- Consolidating data and analytics capabilities into a single hub
- Implementing smart data quality workflows to get more accurate results
- Gaining new event context. And that’s from the existing network, endpoints, authentication, and threat data
- Achieving a complete view of individual network pain points and overall organizational security
The following are its common capabilities:
- Network Device Analytics That Is Powered By Machine Learning And AI. Through this, you’ll get real-time insights generated by statistical time models.
- Multidimensional detection and composite device risk scoring. This cybersecurity also builds context around security events. Which in turn brings together NetFlow, web proxy, DNS, and others.
- Guidance and context for investigations. If a potential security threat is identified, then it empowers investigators to get results. And with less time and effort.
- Prebuilt and intuitive performance dashboards and reports. It allows Security managers to track efficiency. And the performance of the security team and the system. Also, they can do that with easy-to-understand KPI and audit reports.
- High-performance, applied machine learning and AI through SAS Viya. SAS cybersecurity benefits from the enhanced Artificial Intelligence capabilities. For instance, built-in intelligence supports smart automation of data and analytics processes. Also, self-healing mechanisms ensure always-on protection.
- Self-service data management. Security analysts and cyber data scientists can consolidate data from internal and external sources for analysis and investigation.
- Self-service visualization. Business and technical users can discover relationships, trends, and outliers. And they can do it via box plots, heat maps, network diagrams, geographical map views, decision trees, and more.
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