A Nut Worth Cracking

We talk to a number of market research firms and meet with a lot of analysts. On this particular day, we met with an analyst who had a colorful vocabulary. We were talking about our Behavior Based Security Analytics platform and where we could make ground-breaking strides. In reviewing some opportunities, he got very excited about a particular strategy and said, “It’s a nut worth cracking.” We agree.

How Hard is it to Crack a Nut?

Well, it depends on the nut, and the tool you use to crack said nut. In our particular case, we are talking about predicting and detecting cyber threats with security analytics. Some threats are harder to crack than others, and some vendors will have you believe you need multiple analytics tools to make sense of all your disparate data.

So, here’s the deal: siloed analytics is likely the worst way to crack this nut. Security applications that run analytics on their siloed data provide narrow constricted views and deliver conflicting risk scores. SIEM analytics may tie user “Jack Black” to anomalous events. Identity Governance analytics might rank his access as low risk. And, PAM analytics may label him as high risk. Which source are you going to believe? What is the true risk of this user? What, if any, action should be taken? Can you somehow create a unified risk score for “Jack Black” from all those siloed analytics capabilities that your individual security and identity applications offer? No, you can’t. That’s a lot of nuts to crack with a limited toolset.

What if you could crack all these security and identity data feed nuts with just one security analytics platform? What would it mean for your information security and identity teams to reduce the number of analytics products they have to learn, maintain and use over time? And, how much more streamlined would your investigations be if you had one unified risk score for each user and entity?

The Nutcracker

Legend says that a nutcracker represents power and strength and serves like a trusty watch dog guarding you from evil and danger. A fierce protector, the nutcracker bares its teeth to evil and serves as the traditional messenger of good luck and goodwill.

Therefore, we like to think of Gurucul as the security analytics nutcracker. We are your first line of defense against a long list of cyber threats ranging from insider threats to data exfiltration, to fraud and others. More than that, we are a messenger of good. We strive to improve your cybersecurity posture while optimizing the time and resources your information security, fraud and identity teams spend on detecting cyber threats.

Above all, we deliver what no siloed analytics product can possibly provide: a single unified risk score for every user and entity in your environment. This risk-prioritized intelligence means you can focus on the highest risk users and entities, and only those. Therefore, wasting no time digging through alerts or trying to concatenate and weigh risk scores across diverse platforms.

Gurucul Risk Analytics

Gurucul Risk Analytics

Our Machine Learning Algorithms Crack All the Nuts

Gurucul Risk Analytics (GRA) leverages over 1300 Machine Learning Models powered by data science to produce actionable risk intelligence. Certainly, GRA is the only security analytics platform that can ingest all data sources out-of-the-box. Moreover, it can ingest any data from any source, including proprietary business applications, to give you the most accurate 360-degree view of a user’s or entity’s behavior. In addition, GRA runs on your choice big data platform: Hadoop, Hortonworks, Cloudera, Amazon EMR and more.

Gurucul Risk Analytics leverages a comprehensive risk engine which performs continuous risk scoring based on historical and current behavior. Consequently, GRA provides real-time risk prioritized alerts for incident analysis across applications, platforms, NetFlow, threat intelligence, and other security solutions. As a result, GRA uses this contextual information for machine learning, behavior analytics and deep learning to generate risk scores. Then the contextual risk scores can be applied to orchestrate automated risk-response workflow for enterprise and cloud.

In conclusion, your data is certainly a nut worth cracking! Contact us today to get started.

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*** This is a Security Bloggers Network syndicated blog from Blog – Gurucul authored by Jane Grafton. Read the original post at: