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

AI-driven attacks leaked 23.77 million secrets in 2024, revealing that NIST, ISO, and CIS frameworks lack coverage for ...

For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...

Together, they create an infrastructure layer designed for a world where attacks are automated, data is abundant and digital ...

For hackers, the stolen data would be useless, but authorized users would have a secret key that filters out the fake ...

Contrary to long-held beliefs that attacking or contaminating large language models (LLMs) requires enormous volumes of malicious data, new research from AI startup Anthropic, conducted in ...

Agentic AI is transforming cybersecurity with autonomous reasoning and action—but it also expands the attack surface. Learn how it reshapes enterprise security.

A critical security flaw in MCP (Model Context Protocol) enables invisible data theft across all major AI and Agentic platforms New attack class exploits trusted AI agents to silently exfiltrate ...

Scraping the open web for AI training data can have its drawbacks. On Thursday, researchers from Anthropic, the UK AI Security Institute, and the Alan Turing Institute released a preprint research ...

For years, security researchers have warned that artificial intelligence would not just transform productivity, it would also supercharge attacks that slip past traditional defenses. Now a new ...

Artificial intelligence is racing toward 2026 with a mix of promise and dread, and the scariest predictions are no longer confined to science fiction. From prophetic visions being reinterpreted ...