Latest cybersecurity reporting from selected sources.

Fraud Specialist David Barnhardt on Addressing Authentication Risks of Agentic AIFinancial institutions are racing to deploy AI agents that can initiate payments, approve transactions and freeze accounts. But traditional authentication frameworks assume there's a human on the other end. As agentic AI use grows, banks are facing an authentication crisis that demands new controls.

Experts Advise Moving From Verifying Identities to Knowing Agent IntentionsFinancial institutions are rushing to deploy AI agents capable of autonomously initiating transactions, approving payments and freezing accounts in real time. But AI agents are creating a "dual authentication crisis" that traditional security frameworks cannot address.

AI agents promise to automate everything from financial reconciliations to incident response. Yet every time an AI agent spins up a workflow, it has to authenticate somewhere; often with a high-privilege API key, OAuth token, or service account that defenders can’t easily see. These “invisible” non-human identities (NHIs) now outnumber human accounts in most cloud environments, and they have

Machine Learning, Generative AI Bolster Continuous User AuthenticationFinancial institutions can use AI-fueled behavioral biometrics for real-time identity assurance. By continuously profiling how users interact with devices, firms can shift from one-time authentication to real-time identity assurance, turning every click, pause and keystroke into a frontline defense.