As with any major technology purchase, selecting a network intrusion detection system requires factoring in Total Cost of Ownership. But how is this calculated and what other considerations should be made? It starts with the cost associated with what happens if the solution, at any...
Machine learning has found application in a breadth of industries, from cancer detection to voice recognition to identity theft prevention. Perhaps unsurprisingly, cybersecurity is another area where machine learning can increase the efficiency and accuracy of operations. This is a topic generating a lot of discussion...
RSAC 2018, one of the largest cybersecurity conference events in the world, is almost here. More than any other, this is the place where leading security companies, researchers, CISOs, and their staffs from across the globe come together to talk, learn, present, and speculate about...
Recently our lab's team released a blog entitled “From Russia(?) With Code.” The conclusion of the blog was modest at best, yet the goal of the blog was not to garner attention to the Olympic Destroyer campaign, but instead debut our new malware sequencing system....
In recent years, machine learning has made tremendous strides in the fight against cybercrime. But it’s not foolproof, and criminals have developed techniques to undermine its effectiveness. In today’s adversarial environment, organizations must deploy technologies that are resilient to attacks against machine learning. Machine Learning—Amazing, but...
Venture Capitalists (VCs) goal in life is to find cybersecurity unicorns. These are rare creatures. Much like a Cyndaquil Pokemon, unicorns have common traits and in order to attract VCs, you must exhibit the commonalities of said unicorns. These are: 1. Your company's product must reference the...
Most companies struggle to find enough resources for proper data breach prevention. Here are five ways to stretch your limited security budget to get the most bang for the buck. As cyberattacks and data breaches escalate, many organizations risk substantial losses. According to the Cisco 2017...
There’s a lot of buzz these days about cyberattack prediction. The U.S. federal government is keen to develop technologies that will not just detect but accurately predict cyberthreats. But they aren’t alone. The commercial sector is also ramping up their interest in cyberattack prediction. Although it...
There’s been a lot of news lately about a new variant of Cerber ransomware that evades malware detection products that rely on static machine learning. Like other forms of advanced malware, Cerber’s evasion tactics continue to evolve. Cerber Ransomware Enhanced Cerber, one of, if not the most prevalent...
Prediction, during a data breach or cyber attack would be extremely beneficial if security defenders knew their attacker’s next move. Armed with such information, administrators could take proactive measures to protect sensitive data, patch or update vulnerable software, bolster security settings, and block the attacker’s access and...
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