To address this current losing war with cyberattackers, the future of cybersecurity requires augmenting the current focus of “indicators of compromise” with “indicators of exposure & warning” in real-time. Where the measure would be to gauge the shift of incident management that would tilt on managing more incidents at warning stages than on compromise stages. It is imperative to build an AI engine to perform this very task as that would be the only way to perform in real-time, scale with the growing nature of cloud as well as to cover the evolving nature to attack scenarios.
Deloitte’s third edition of the “State of AI in the Enterprise” survey finds businesses are entering a new chapter in AI implementation where early adopters may have to work harder to preserve an edge over their industry peers.
Microsoft's Azure Security Center (ASC), which regularly searches for and researches for new attack vectors against Kubernetes workloads, revealed a new campaign that was observed recently targeting Kubeflow, a machine learning toolkit for Kubernetes.
Researchers at NIST have developed a mathematical formula that, computer simulations suggest, could help 5G and other wireless networks select and share communications frequencies about 5,000 times more efficiently than trial-and-error methods.
While it might be tempting to reduce face recognition to an inevitable Orwellian nightmare, its benefits cannot be realized unless we educate ourselves about how the technology really works, separate fact from fiction, and pass common sense regulation that set guidelines for use. Here are five popular misconceptions about face recognition and privacy to help set the record straight on this powerful, emerging technology.
Artificial intelligence (AI) presents a perfect solution to compensate for unmanned environments or those with limited staffing, or the loss of vigilance after looking at a screen too long. AI can help us not only watch continuously, but also feed systems that are able to sort, organize and categorize massive amounts of data in a way that human operators cannot. And it can do so far more reliably than traditional video analytics ever did.
New research revealed that while over half of organizations use artificial intelligence (AI) or machine learning in their security stack, nearly 60 percent are still more confident in cyberthreat findings verified by humans over AI.
This month in Security magazine, we examine how physical security leaders are being propelled into a unique position of revenue preservers and risk managers for their businesses. In addition, we profile Scott Ashworth, Director of Security for Atlanta United. Also, security leaders discuss how to develop cybersecurity careers, election security, data protection strategies, measuring and reporting security operations maturity and more!