Cybersecurity On Call: Goodbye 2017, Hello 2018! Top Five Tips from 2017

Cloudera

Security, Risk, and Compliance Account take overs Advanced persistent threats backup CISO Cyber attacks cyber security cybersecurity Cybersecurity analytics Data breach Data privacy encryption Endpoint threat detection EU Incident responder Information Security Infosec Insider threat Network traffic analytics Next-gen SIEM Rogue users Security information event management Security operations center SIEM triage User behavior analytics User entity behavioral analytics

Cybersecurity on Call: Nation-State Cyber Operations with Patrick Tucker

Cloudera

Enterprise Data Hub Governance Security Security, Risk, and Compliance Account take overs Advanced persistent threats CISO Cyber attacks cyber security Cybersecurity analytics Data breach Data privacy Endpoint threat detection EU Incident responder Information Security Infosec Insider threat internet of things IoT Network traffic analytics Next-gen SIEM Rogue users Security information event management Security operations center SIEM User behavior analytics User entity behavior analytics

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

The Anatomy of User Behavior

Mixpanel on Data

Tracking these actions is the foundation of the data-driven analytics that inform today’s digital products: the websites we visit, the tools we use, and the apps on our phones. User actions are a more detailed way of tracking, and one of the first steps in this sort of granular analysis is figuring out which behaviors are important. . The behaviors you are going to want to track will depend on your product and how people are getting value from it.

Cybersecurity On Call: Information War with Bill Gertz

Cloudera

Security, Risk, and Compliance Account take overs Advanced persistent threats CISO Cyber attacks cyber security cybersecurity Cybersecurity analytics Data breach Data privacy Endpoint threat detection EU Incident responder Information Security Infosec Insider threat Network traffic analytics Next-gen SIEM Rogue users Security information event management Security operations center SIEM User behavior analytics User entity behavioral analytics

Cybersecurity On Call: Balancing Connectivity and Cybersecurity with Paul Roberts

Cloudera

Security, Risk, and Compliance Account take overs Advanced persistent threats CISO Cyber attacks cyber security cybersecurity Cybersecurity analytics Data breach Data privacy Endpoint threat detection EU Incident responder Information Security Infosec Insider threat internet of things IoT Network traffic analytics Next-gen SIEM Rogue users Security information event management Security operations center SIEM User behavior analytics User entity behavioral analytics

How to use Benchmarks data to understand your users

Mixpanel on Data

This post is a guide to how to use the data in those reports to get a deeper understanding of your users’ behavior and your product’s performance. This data is not meant to replace your own user behavioral analytics data. Consider this one more set of paired metrics: high-level benchmarks and user behavior analytics. Benchmarks without user behavioral analytics provide a general sense of what is going on in an industry, but lack for granular insight.

Getting into Big Data Career: An Overview

DataFloq

It is used by organizations and businesses to discover patterns and trends to understand human behavior. The ability to slice and dice big data facilitates predictive analytics and user behavior analytics. The analytics industry has grown to $3.03

Machine Learning Making Big Moves in Marketing

Rocket-Powered Data Science

Behavioral analytics (predictive and prescriptive). Agile analytics (DataOps). And check out the many excellent resources and consulting services (in Big Data Analytics, Data Science, Machine Learning, and Machine Intelligence) at Booz Allen Hamilton , to help all of your data-driven campaigns make big moves and move forward more effectively. Machine Learning is (or should be) a core component of any marketing program now, especially in digital marketing campaigns.

Top 10 Data Innovation Trends During 2020

Rocket-Powered Data Science

Customer purchase patterns, supply chain, inventory, and logistics represent just a few domains where we see new and emergent behaviors, responses, and outcomes represented in our data and in our predictive models. Behavior biometrics may possibly become an essential cyber requirement for unique user identification, finally putting weak passwords out of commission. Analytics Artificial Intelligence Big Data Internet of Things Machine Learning Strategy

Over 1001 “Free” Things You Can Do with Your Data – Outcomes-as-a-Service

Kirk Borne

For illustration, here is an example of one category of use cases: predictive analytics on real-time (perhaps streaming) business data. Real-time detection of anomalous and adversarial cyber network behaviors. Analytics product development. Edge analytics.

The Impact Of AI On Cybersecurity: Are Humans Still Your Best Asset?

Smart Data Collective

Everyone wants to leverage machine learning, behavior analytics, and AI so IT teams can “up the ante” against attackers. The reality is that “AI solutions” today are based more in machine learning and behavior analytics , which does NOT equate to higher levels of human intelligence and complex decision making. These solutions are very good at spotting anomalous behavior, but they still require security analysts to investigate the findings.

Top five data integration objectives when you do M&A in Gaming / iGaming

BizAcuity

Ensuring mergers and acquisitions perform successfully, having capable data integration objectives to rationalize, consolidate, migrate, and integrate data between operational and analytical systems is critical for gaming companies to stay ahead of the competition and player journey insights. . DAU (daily active users), MAU (monthly active users), and ARPU (average revenue per user) are simple KPIs that are easily measured using an analytics platform like Indicative.

Best of Kirk Borne, Celebrated Data Scientist

Kirk Borne

In the second part of his series on data trends, Dr. Kirk Borne reveals the power of behavioral analytics, graph analytics, and other trends. Y ou might say that Dr. Kirk Borne has always had his head in the stars. For nearly two decades, he worked as an astrophysicist at the most prestigious civilian space program in the United States. But, this work was just the start of Kirk’s career.

Traditional security with a universally high adoption across all sectors

BI-Survey

When it comes to security analytics, one should look at the Real-Time Security Intelligence products on-premises or as managed services, as well as more specialized products like User Behavior Analytics. Among the surveyed industries, manufacturing and public sector companies are the slowest to adopt the security analytics technologies.

What Are the Most Important Steps to Protect Your Organization’s Data?

Smart Data Collective

In the modern world of business, data is one of the most important resources for any organization trying to thrive. It also happens to be one of the most vulnerable and frequently attacked. Business data is highly valuable for cybercriminals. They even go after meta data.

Top Data Trends for 2018 – Part 2

Kirk Borne

Behavioral Analytics – Modeling our Hierarchy of Needs. Human behavioral science is older than all of our data and analytics capabilities. We now have data and analytics to build predictive (what will happen?) models of human behaviors. Since most – or maybe all – of our digital applications involve humans, then behavioral analytics should be and is becoming a central component of many application domains: marketing, cybersecurity, healthcare, and more.

Dwell Time, Agent Smith and Modernizing Your SIEM

Sirius Computer Solutions

He then draws the parallel to another organism with the same behavior—a virus. Modernizing your SIEM can take your threat detection to the next level, incorporating traditional SIEM capabilities with threat intelligence, advanced historical and real-time analytics, endpoint monitoring, user and entity behavior analytics (UEBA), and AI for cognitive computing-based (i.e.

IoT 58

3 Essential Cybersecurity Strategies for 2020

Sirius Computer Solutions

But, how do you move from simply amassing data to compiling useful analytics for a proactive security approach? One of the biggest challenges for IT security teams is trying to keep pace with the staggering number of new threats and attack surfaces.

Adaptive Access Harmonizes Security and User Experience

Sirius Computer Solutions

Adaptive access uses criteria based on user and entity behavioral analytics (UEBA) to determine how much trust there is in the access request, and to establish how much verify must be asked of the user.

Your Modern Business Guide To Data Analysis Methods And Techniques

Datapine Blog

To help you understand the potential of analysis and how you can use it to enhance your business practices, we will answer a host of important analytical questions. This is one of the most important data analytics techniques as it will shape the very foundations of your success.

4 Reasons Authentication and Threat Detection Are Better Together

Sirius Computer Solutions

Through user and entity behavior analytics (UEBA), risky behavior associated with a user is identified. The combination of UEBA and risk-behavior authentication for each session to help mitigate potential incidents at the point the user connects to the network.

Risk 52

The FireEye Attack and 4 Security Moves to Make Right Now

Sirius Computer Solutions

Look for unusual activity on your network using either a user and entity behavior analytics (UEBA) solution or a network detection and response (NDR) or endpoint detection and response (EDR) tool that has been updated to look for indicators of compromise (IoCs) from the FireEye attack.

Risk 70

Top Data Trends for 2018 – Part 1

Kirk Borne

This “internet of everything”, when outfitted with data analytics and machine learning algorithms at the edge, leads to value-laden concepts like Edge Computing, Edge Analytics, the Analytics of Things, and my favorite: The Internet of Context. Some have said that the current era of integrated co-existence of sensors, data, and analytics represents a new “Age of Context”.

Pass on Passwords: Multi-factor Authentication Is Better Security

Sirius Computer Solutions

There are also intelligent MFA solutions available that incorporate risk detection and user behavior analytics to minimize required user interaction. Truth is, nobody likes passwords. From a user standpoint, they’re hard to remember. From a security standpoint, they’re ineffective.