The latest edition of the ISMG Security Report analyzes the security and privacy implications of Facebook's new digital currency - Libra. Also featured: Discussions on the rise of machine learning and IT and OT collaboration on cybersecurity.
Why does everyone keep mislabeling machine learning - a proven technique for helping organizations to improve their security posture - as artificial intelligence? "I'm so tired of the AI buzzword bingo," says John Matthews, CIO of ExtraHop Networks.
After years of organizations being stuck in a reactive security posture, proactive prevention is finally possible thanks to machine learning backed by AI math models, says BlackBerry Cylance's John McClurg.
Artificial Intelligence is coming of age as a key tool in the security analyst's arsenal, says David Atkinson, founder and CEO of Senseon, who highlights key benefits of the technology.
The annual Infosecurity Europe conference this year returned to London. Here are visual highlights from the event, which featured over 240 sessions and more than 400 exhibitors, 19,500 attendees and keynotes covering data breaches, darknets, new regulations and more.
Carelessness, a lack of security awareness, unclear data ownership and poor toolsets are root causes of insider breaches, says Tony Pepper, CEO of Egress, which recently surveyed CISOs and employees to trace the cause of insider breaches resulting from both intentional and unintentional loss.
As the IT infrastructure evolves and becomes far more complex, security needs to be built in, not bolted on later, says VIjendra Katiyar of Trend Micro.
It's critical for SOC team to extensively leverage Artificial Intelligence to transform its operations and enhance its investigation capabilities in making the organization safe from attackers and achieving the business goals.
Keeping organizations safe from attackers and staying one step ahead of them is a tough proposition, and hence identifying threats accurately with integrated user behavioral analytics and artificial intelligence makes tremendous sense as this can save invaluable investigation time.
Traditionally, enterprises have built networks and then added security elements. But in what he describes as "the third generation of security," Fortinet's John Maddison promotes a model of security-driven networking. Hear how this can improve an organization's security posture.
The rapidly changing cybercrime landscape has required organizations to seek new methods, such as machine learning, that enable systems to learn, adapt, and uncover emerging fraud patterns quickly. However, there are many debates about the merits of machine learning models for fraud detection and which one works...
Many of today's companies are hesitant to adopt new security technologies - particularly AI. The truth is AI is successfully disrupting many areas of security operations and shifting us away from the traditional SOC and man-led threat intelligence.
In this webinar, Chris Calvert will introduce the concept of...
The rapidly changing cybercrime landscape has required organizations to seek new methods, such as machine learning, that enable systems to learn, adapt, and uncover emerging fraud patterns quickly. However, there are many debates about the merits of machine learning models for fraud detection and which one works...
Machine learning is one of the tools that you should be using as part of a multifaceted fraud strategy at financial institutions. To get value out of ML, you need to have multiple inputs. You have to have an intelligence network and the location to gather all that network intelligence.
Download this eBook on the...
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