As businesses rely more on software to deliver products and services, it is vital to secure their applications against threats such as code injection, data breaches, and privilege escalation.

Today’s internet treats identity as scattered accounts. Personal AI accumulates continuity—preferences, history, relationships, workflows and decision patterns—and that continuity travels with the ...

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 ...

Affiliate Bruce Schneier and coauthors argue that prompt injection attacks are the first step of a seven-step promptware kill chain.

Oso reports on OpenClaw, an AI assistant that automates tasks but raises security concerns due to its access to sensitive data and external influences.

AI is moving from copilots to autonomous systems, and enterprises need infrastructure built for that shift. The Dell AI Factory with NVIDIA delivers a validated, end-to-end AI stack spanning ...

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.

CyberStrikeAI lowers the barrier to complex cyberattacks by combining AI orchestration, MCP integration, and more than 100 ...

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 ...

Shanon is an open source AI pentester built on the Claude SDK; runs cost about $60 in API credits, with CI/CD support; ...