MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

We’re witnessing a collision between AI’s growing sophistication and natural intelligence’s vulnerabilities, which leads to ...

From cyberattacks to insider threats, organizations face a growing range of risks that can disrupt operations, erode trust, ...

AI is no longer an experimental capability or a back-office automation tool: it is becoming a core operational layer inside modern enterprises. The pace of adoption is breathtaking. By Amy Chang, AI ...

AI security risks are shifting from models to workflows after malicious extensions stole chat data from 900,000 users & ...

The current DARPA Advanced Technology Development program retains this theme with a focus on maturing advanced technologies ...

Anmol Agarwal, senior security researcher at Nokia and adjunct professor, advances AI-driven cybersecurity for 5G and 6G ...

From data poisoning to prompt injection, threats against enterprise AI applications and foundations are beginning to move ...

The Steacie Prize is awarded to a person 40-years-old or younger, who has made notable contributions to research in Canada ...

Cisco's AI Security and Safety Framework includes a unified taxonomy that aims to classify a range of AI safety threats, such as content safety failures, agentic risks, and supply chain threats. Cisco ...

Quantum computing innovations have garnered significant attention for their potential to revolutionize industries, with the energy sector being one of the most promising areas for application. As ...