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.
Incident response challenge: How to deliver actionable information to security analysts to enable them to better triage? "The quicker you can detect and respond to an incident, the more you're likely to be able to contain and minimize the risk associate with it," says IBM's Mike Spradbery.
One of the key lessons offered at ISMG's Fraud & Breach Prevention Summit, held June 12-13 in Bengaluru, was the need for security practitioners to have a better perception of threats and risks so they can build successful detection and defense mechanisms.
Leading the latest edition of the ISMG Security Report: Our exclusive report on an Australian criminal investigation into a company that apparently swiped cryptocurrency using a software backdoor. Also, cutting through the hype on artificial intelligence and machine learning.
Companies offering cybersecurity products are using the terms "artificial intelligence" and "machine learning" in many different ways. But the real meanings of the terms are far more nuanced than marketing hyperbole would lead us to believe, says Grant Wernick of Insight Engines.
Machine learning is supporting new ways of battling evolving cyber threats, such as by analyzing behaviors, says Darshan Appayanna, CISO at Happiest Minds, an IT services firm, who will be a featured speaker at ISMG's upcoming Fraud and Breach Prevention Summit in Bengaluru.
The annual Infosecurity Europe conference returns to London this week, with a focus on the latest cybersecurity trends and essential practices for organizations. Hot topics range from artificial intelligence and breach response to GDPR and battling cybercriminals and nation-states.
The American Civil Liberties Union has launched a broadside against Amazon, warning that Amazon Rekognition - mixing big data, machine learning and facial recognition - could be abused by authoritarian regimes. Amazon has countered by saying that all users must "comply with the law."
If operational technology systems need to get connected to IT systems, it's essential to have tight controls on the network, says Lam Kwok Yan, professor of computer science and engineering at Nanyang Technological University in Singapore.