Forty-eight percent of customers drop the products and services of organizations that have had a publicly-disclosed data breach. This is but one of the findings of the new 2018 Global State of Online Digital Trust study commissioned by CA Technologies. CA's David Duncan analyzes the results.
Randy Trzeciak, director of the CERT Insider Threat Center at CMU, says he's frequently asked: "Haven't we solved the insider threat problem?" Far from it, he responds. In fact, he's helping many organizations start insider threat defense programs. He'll be a speaker at ISMG's New York Security Summit.
Better, stronger fraud-detection intelligence - that's the promise of the new 3-D Secure 2.0 protocol for digital merchants, networks and financial institutions. But what should organizations do to prepare? James Jenkins of CA Technologies weighs in.
The National Cybersecurity Center of Excellence (NCCoE) at NIST has created a series of free resources touting best industry practices that utilize the latest technology, automation and system controls to guide industry professionals through minimizing their cyber risks and identifying threats. These practices go a...
Behavioral analytics have taken the fast lane from emerging tech to mature practice.
The key element that has made behavioral analytics move so fast and become something so important to security is that the focus has been not on the technology itself but on the value it provides the enterprise, notably when being...
An Equifax software engineer has settled an insider trading charge with the U.S. Securities and Exchange Commission after he allegedly earned $77,000 after he made a securities transaction based on his suspicion that the credit bureau had suffered a data breach.
Behavioral analytics have taken the fast lane from emerging tech to mature practice. And Mark McGovern of CA Technologies says the technology is being deployed in innovative ways to help detect insider threats.
When it comes to fraud prevention, many organizations overlook the insider threat - both the malicious actor who intends to commit fraud, as well as the accidental insider who makes a mistake or is taken advantage of by an external entity? The CERT Insider Threat Center at Carnegie Mellon University is one of the...
Electric car manufacturer Tesla has sued a former employee for sabotage, alleging that he "unlawfully hacked the company's confidential and trade secret information" and gave it to third parties while leaving a trail designed to implicate other employees. The ex-employee, however, claims he's a whistleblower.
This case study illustrates how Digital Shadows helped the head of threat intelligence at a bank discover a user on the dark web claiming to be a bank employee selling access to high net worth individual's accounts. The fact that the seller appeared to be an employee, this threat was of heightened priority to this...
A former CIA software engineer who is facing child pornography charges is a possible suspect in the largest-ever leak of classified information from the spy agency. While Joshua A. Schulte has not been charged with the leak, prosecutors have indicated they will soon indict him.
Accidentally careless employees are the biggest cause of incidents involving data loss, responsible for almost 25 percent of all breaches.
Given that employees are the first line of defense against socially engineered schemes, such as account takeover, new account fraud and other crimes, doesn't it make sense to...
Insider threats aren't going away, but the introduction of machine learning and AI are proving to be powerful tools in the fight, says Randy Trzeciak of Carnegie Mellon University's CERT.
As account opening continues to transition from physical to digital channels, financial institutions and other organizations must optimize the digital experience of applicants in order to compete while simultaneously mitigating fraud risk that is on the rise thanks to some of the same digital channel benefits enjoyed...
When insider threat researcher Randy Trzeciak looks at artificial intelligence and machine learning, he sees the potential for technology to help organizations predict potentially dangerous insider behavior - not just respond to it.
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