Elizabeth Denham, the U.K.'s chief privacy watchdog, is urging police to go slow when it comes to using live facial recognition. She also calls on the government to create a statutory code of practice for police use of the technology.
In the new world of ubiquitous connected devices and myriad cybersecurity alerts, artificial intelligence and machine learning can enable autonomous response - a boon to overworked security teams, says Darktrace's Mariana Pereira.
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.
The Cyber Exposure Score is an objective rating of cyber risk derived through data science-based measurement. The score is automatically generated daily through machine-learning algorithms that combine vulnerability data with other risk indicators such as threat intelligence and asset criticality. The Cyber Exposure...
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.
Airports across the globe are increasingly leveraging facial recognition technology to verify and authenticate passengers. But some privacy advocates have raised concerns, especially in India, where several airports are ramping up facial recognition programs.
Join us as we first examine the current state of bot automation and the different attack modalities currently conducted through machine automation. We will dive into attacker tools, their infrastructure, and compromised credentials to demonstrate how they were used against a major retailer in a real-world attack. This...
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.
Both AI and cybersecurity are broad and poorly understood fields.This book helps give you an overview of the various technologies that make up AI, where they have come from, and what AI has evolved into today.
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.