Narrow “shift left” has failed at AI scale. Move from developer-led fixes to AppSec-managed automation that triages findings and delivers tested pull-request fixes so teams can safely manage ...

First of four parts Before we can understand how attackers exploit large language models, we need to understand how these models work. This first article in our four-part series on prompt injections ...

Threat actors are operationalizing AI to scale and sustain malicious activity, accelerating tradecraft and increasing risk for defenders, as illustrated by recent activity from North Korean groups ...

Operational penetration testing is a process of simulating real-world attacks on OT systems to identify vulnerabilities before cybercriminals can exploit them, either physically or remotely. OT ...

A practical MCP security benchmark for 2026: scoring model, risk map, and a 90-day hardening plan to prevent prompt injection, secret leakage, and permission abuse.

Deepfakes and injection attacks are targeting identity verification moments, from onboarding to account recovery. Incode explains why enterprises must validate the full session—media, device integrity ...

Iran-linked MuddyWater hackers breached U.S. networks with new Dindoor malware as regional cyber attacks escalate amid Middle East conflict.

Social engineering is evolving from Human to Human, to, Human to AI. But are we ready for this new threat? Remember the days ...

Malicious AI browser extensions collected LLM chat histories and browsing data from platforms such as ChatGPT and DeepSeek.

Late in 2025, we covered the development of an AI system called Evo that was trained on massive numbers of bacterial genomes. So many that, when prompted with sequences from a cluster of related genes ...