Organizations are accepting that the network perimeter no longer serves as the "ultimate defense" and thus adapting zero-trust principles, including least privilege, based on the understanding that they may already have been compromised, says Darran Rolls of SailPoint.
Robotic process automation aims to use machine learning to create bots that automate high-volume, repeatable tasks. But as organizations tap RPA, they must ensure they take steps to maintain data security, says Deloitte's Ashish Sharma.
Criminals are weaponizing artificial intelligence and machine learning for cyberattacks. David Masson of Darktrace describes how to fight back at "machine speed."
London's Metropolitan Police Service says it shared seven images with a private developer during tests of facial recognition technology for crime prevention in the city's King's Cross section. There are no records related to the outcome of those tests, authorities say.
Artificial intelligence technologies that provide surveillance capabilities can have upsides as well as downsides. Unfortunately, as developers and governments rush to experiment, security, privacy, data protection and liability questions remain unanswered.
Governments are rapidly adopting AI surveillance technology to advance political goals, according to a new report from the Carnegie Endowment for International Peace. While Chinese suppliers dominate, liberal democracies and authoritarian regimes alike are developing and procuring such technology.
Artificial intelligence is playing an important role in the fight against payment card fraud, says Gord Jamieson, senior director of Canada risk services at Visa. He'll offer a keynote presentation on the latest fraud trends at Information Security Media Group's Cybersecurity Summit in Toronto Sept 24-25.
The cloud, artificial intelligence and security as a service - these are the three critical conversations that security leaders need to be having with their business counterparts, says Oscar Chavez-Arietta, vice president, Latin America, at Sophos.
ISMG and Cybereason visited Dallas on their "Indicators of Behavior" roundtable dinner tour. And Cybereason CSO Sam Curry says the discussion validated the notion that it's time to reimagine incident detection and response.
Artificial intelligence and machine learning must be judiciously used, such as when monitoring internet of things devices, says David De Roure, professor of e-research at the University of Oxford, who offers insights on IoT risk management.
Newer technologies, such as machine learning, can help mitigate the risk of ever more sophisticated email-based attacks, including phishing, says Dena Bauckman of Zix Corp.
The news that serial entrepreneur Elon Musk and scientists have unveiled Neuralink - a neuroscience startup that's been in stealth mode for two years and aims to create a new computer/brain interface - might make you ask: What took him so long? Before signing up, just make sure it's immune to ransomware.
Developing robust and resilient machine learning models requires diversity in the teams working on the models as well as in the datasets used to train the models, says Microsoft's Diana Kelley.
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