JPMorgan Chase researchers have published a new paper describing their efforts at developing a novel "early warning" system based on artificial intelligence algorithms that can detect malware, Trojans and other advanced persistent threats before the phishing campaign that targets the bank's employees even starts.
George Orwell's "1984" posited a world in which Big Brother monitored us constantly via "telescreens." But thanks to our "smart" AI home assistants - from Google, Amazon and others - we're increasingly installing the monitoring equipment ourselves, and it may "hear" much more than we realize.
Enterprises need to consider ethical guidelines when creating new types of artificial intelligence and machine learning, says Diana Kelley of Microsoft, who explains how companies can create responsible new technologies.
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.
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.
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.
Multi-stage attacks use diverse and distributed methods to circumvent existing defenses and evade detection - spanning endpoints, networks, email and other vectors in an attempt to land and expand. Meanwhile, individual tools including DLP, EDR, CASBs, email security and advanced threat protection are only designed to...
Organizations may have great cybersecurity intentions, but translating those desires into a robust security reality is often challenging, says Ratinder Ahuja, CEO of ShieldX Networks. That's why he advocates automation to ensure intention equals reality.
Machine learning systems adapt their behavior on the basis of a feedback loop, so they can overlearn and develop blind spots, which if not understood by practitioners can lead to dangerous situations, says Sam Curry of Cybereason.