The advent of artificial intelligence (AI) brought with it a new set of attacks using adversarial AI. How can organizations fight an unknown enemy that's not even human?
A recent study conducted by NIST researchers found that face identification performance is optimal when insights from a human expert are combined with a top machine learning algorithm.
Researchers cited instances of fraud and malicious attacks as prime growth drivers for artificial intelligence (AI) in the cybersecurity market.
Collaborative defense connects an organization's people, processes and technology to deliver improved security through open integrations, threat intelligence sharing and digital transformation.
Artificial intelligence (AI) tools enable security teams to identify behavioral patterns that could point to insider threats more quickly.
April's cybersecurity recap features more enterprises embracing AI and new insights into consumer perspectives on security.
IBM's new Intelligent Orchestration offering enables analysts to streamline their investigations via integrations and incident response playbooks.
At RSAC 2018, many speakers urged organizations to take the human element out of the security equation as much as possible by investing in automated tools and focusing on professional development.
At RSAC 2018, countless security experts and practitioners gathered in San Francisco to talk about emerging threats and how the cybersecurity industry can prepare to meet evolving challenges.
As AI progresses, security professionals must prepare for the inevitability of machines writing their own malware to infect other machines in the not-so-distant future.