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Election Security in an Information Age

by AnomaliApr 24, 2017

Over the last two years, there have been an increasing number of information security attacks on political organizations, government institutions, and political operatives. Learn more about governments interfering with foreign politics in this special report.

How UEBA Reduces the Threat of Insider Data Leakage

by VeriatoApr 24, 2017

While organizations invest significant resources to stop hackers from getting company data, the greatest risk to organizational data security are the so-called insiders.

How UEBA Mitigates IP Theft by Departing Employees

by VeriatoApr 24, 2017

An introduction to the benefits of User and Entity Behavior Analytics in assessing employee behavior.

Information Sharing Defeats Data Security Threats

by AnomaliApr 21, 2017

Threat information sharing is now an important part of a cyber security threat awareness program. Those businesses serving the same vertical business market can benefit from the knowledge of all that participate. The US federal government has encouraged the formation of ISACs (Information Sharing and Analysis Centers) for specific industries and ISAOs (Information Sharing and Analysis Organizations), which are not associated with particular sectors.

This paper discusses in detail:

Machine-Learning-Based Analysis and Objectivity: An Uneasy Pairing

by BluVectorApr 21, 2017

Laypeople assume machine learning to be smart, impartial and reliable. While it can be true, it isn't a given.

Machine learning has been embraced in cybersecurity and other fields. The benefits of discovering patterns and trends traditionally done by humans is well understood. But with any hyped technology, like machine learning, the pitfalls aren't so well known. Read this research report to look past the hype and learn the hurdles machine learning must overcome in order to live up to

A Cybersecurity Guide to Machine Learning

by BluVectorApr 21, 2017

Fear not, machine learning is here -- the hot new cyber defense. Unfortunately, it is often misunderstood and harder yet to determine its effectiveness. Read this white paper to understand the two ways machines learn and how to measure their success at detecting unknown malware.

- How machines learn and what's the difference
- Unknown threats! Detecting previously undiscovered or zero-day malware
- Determining accuracy and how it is affected by the learning approach and the role a

Addressing the Growing Challenge of Advanced Threats

by BluVectorApr 21, 2017

No longer fall victim to undetected network breaches: How machine learning provides resilient, accurate and high-speed malware detection.

What is the cost of an undetected breach? The cost of leaked IP, tarnished reputation or compromised customer data? Even an organization with the means to safeguard itself is vulnerable in today's unprecedented threat landscape. Read this whitepaper to learn drawbacks of existing technologies and how machine learning can change the game.

- What

Re-invent Classic Finance Functions with Predictive Automation

by Dell EMC / Intel®Apr 20, 2017

Most finance leaders have begun using big data analytics; now they are looking for ways to improve and scale their solutions. Download this whitepaper to learn how advanced predictive analytics with in-memory technology can dramatically improve forecasting and analysis of external profitability drivers.

The Value of Threat Intelligence: Ponemon Study

by AnomaliApr 20, 2017

The Ponemon Institute recently commissioned a report: The Value of Threat Intelligence: A Study of North American and United Kingdom Companies. The study revealed such findings as:

- 70 percent of security industry professionals believe threat intelligence is often too voluminous and/or complex to provide actionable insights
- Organizations neglect to share essential threat data with board members and C-level executives, despite the fact that security is now a business priority

Threat Intelligence: A New Approach

by AnomaliApr 20, 2017

Download the Security Intelligence and Information Sharing Strategy whitepaper and learn more about the new approach to threat intelligence using trusted collaboration.

Human-source intelligence (HUMINT) has been used for thousands of years by advertisers to thwart an enemy's intentions. The challenge for the recipient of raw intelligence is validating whether or not the information gathered is accurate and can be used effectively in a timely manner. The results of intelligence collection



Anomali delivers earlier detection and identification of adversaries in your organizations network by making it possible to correlate tens of millions of threat indicators against your real time network activity logs. Anomali's approach enables detection at every point along the kill chain, making it impossible to mitigate threats before material damage to your organization has occurred.


BluVector helps security teams respond to malicious threats up to 80% faster than current approaches. As a leader in Network Security Monitoring & Analytics, BluVector applies supervised machine learning so security teams can detect and respond to advanced security threats at digital speed.

Dell EMC / Intel®

Intel and the Intel logo are trademarks of Intel Corporation in the U.S. and/or other countries.


Veriato develops intelligent, powerful solutions that provide companies with visibility into, and understanding of, the human behaviors and activities occurring within their firewall, making them more secure and productive. We provide world-class software and support that enables our customers to protect their most valuable assets, reduce their risk, and gain unparalleled visibility into their operations.