When taking steps to guard against fraudulent transactions through contactless payments, organizations must carefully balance the level of security versus customer convenience, says Sriram Natarajan, COO at Quatrro.
Imagine a world where incident alerts arrive 30 minutes before problems even begin - you'd actually have the power to prevent outages and deliver a truly seamless experience to your customers. Sound impossible? Think again - the right AIOps (Artificial Intelligence for IT Operations) solution can help you maintain...
Artificial intelligence has the potential to filter out much of the noise that can bog down teams trying to triage security alerts, says Bryce Boland, former CTO for FireEye in Asia-Pacific.
Artificial intelligence and machine learning will have a significant impact on lowering the cost of securing an organization because it will reduce the need for advanced skillsets, predicts Rapid7's Richard Moseley.
Despite increasing investment in cyber security tools, there has been a significant increase in in data breaches, compliance violations and their related costs, specifically those relating to insider threats: accidental loss, misdirected content, and the malicious insider. These types of incidents contribute up to 80%...
Security hygiene can be poor, and criminals know it. Fraudulent activity costs are in the billions worldwide across industries, and over 16 million consumers in the US were victims of identity theft or fraud in the past year. Learning to onboard new data at the speed of the business will ensure your fraud team can...
Artificial Intelligence, Machine Learning and Data Science are among the many disciplines abused by cybersecurity marketing and snake oil salesman alike. But how do you separate snake oil from reality? Where do you turn for practical insight on emerging technologies that truly can improve your cybersecurity defensive...
Are cyberattackers working on ways to counter artificial intelligence-augmented security? And will the bad guys ever use AI-driven attacks? Adi Ashkenazy of XM Cyber offers an analysis.
Data science is playing a fundamental role in a more dynamic approach to cybersecurity, says Jim Routh, CISO of Aetna, who stresses the importance of applying machine learning to front-line data security controls. Routh will be a featured speaker at the ISMG Security Summit in New York Aug. 14-15.
To mitigate the insider threat, organizations should apply user behavior analytics powered by artificial intelligence, says Mark Bower of Egress Software Technologies.
To have any hope of keeping up "with the exponential rise in variants in malware," organizations must reduce their attack surface, in part by using technology designed to learn what attacks look like and respond as quickly as possible, says Cylance's Anton Grashion.
Security experts warn that hackers could one day make use of machine learning and AI to make their attacks more effective. Thankfully, says Cybereason's Ross Rustici, that doesn't appear to have happened yet, although network-penetration attacks are getting more automated than ever.
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