Generative Data Intelligence

Tag: Network Data

Researchers develop a way to quickly purge old network data

Researchers from North Carolina State University and the Army Research Office have demonstrated a new model of how competing pieces of information spread...

Coin Metrics Raises $6 Million In Series A Funding Round

Coin Metrics, a cryptocurrency analytics firm, has recently closed off its Series A funding round. This round was worth $6 million at the...

Blockchain Analytics Firm Coin Metrics Raises $6 Million

Cryptocurrency analytics firm Coin Metrics has closed a Series A funding round worth $6 million.In a blog post on March 26, Coin Metrics...

New Video: How does MixMode’s context-aware AI build a network baseline?

We recently did a three-part blog series on network baselining technology and how analyzing network behavior can improve your security stance. What is...

How I Became a Security Consultant: AbsoluteAppsec Interview

Every so often, podcasts and such will invite me to speak on a variety of topics. And this week, I was very...

Onchain Data Suggests Bitcoin Sell-Off Fueled by New Investors

While the covid-19 outbreak has caused economic calamity, cryptocurrencies have regained some of the losses that devastated digital currency markets...

Whitepaper: Actionable Anomalies – How MixMode AI Makes Your Security Data Smarter

In today’s ever evolving cybersecurity landscape there are major problems facing professionals that continue to worsen. These problems center around a shortage...

Hackers Use Coronavirus Panic to Push Phishing Email Scams

As the Coronavirus spreads across the globe, growing fears have led to huge shifts in the economy, social interactions and business practices....

New Video: Why is network data the best source for actionable data in cybersecurity?

In a recent blog post, our Head of Customer Success, Russell Gray, outlined the reasons why network data is the best source...

Predict, manage, and monitor the call drops of cell towers using IBM Cloud Pak for Data

In this code pattern we demonstrate how to create a model to predict call drops. With the help of an interactive dashboard, we use a time series model to better understand call drops. As a benefit to telecom providers and their customers, it can be used to identify issues at an earlier stage, allowing more time to take the necessary measures to mitigate problems.

Data Leaks? Plug Them with MyDLP

Reading Time: 2 minutesComodo has recently acquired MyDLP, a complete Data Loss Prevention (DLP) solution that provides Enterprise grade protection for organizations big...

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