LLMs demonstrate autonomous-malware capabilities, Trend Micro launches a dedicated AI-security platform, Microsoft and GitHub preview AI auto-remediation for vulnerabilities, and new updates emerge on Fluent Bit logging flaws and DeepSeek-R1 model risks.
AI plugins are powerful, and risky. Learn how to control permissions, monitor data flows, and prevent cross-system data leakage.
Second-order prompt injection in ServiceNow’s Now Assist, a new vLLM RCE, DeepSeek-R1’s insecure code bias, adversarial poetry jailbreaks, and fresh field lessons on securing GenAI all highlight how AI infrastructure, models, and safety controls are being stress tested in the real world.
AI agents are powerful but risky. Learn how to create guardrails and human review points so your automation stays safe and under control.
AI agents amplify identity risk; OAuth tokens exploited in SaaS/AI integrations; U.S. charges GPU smuggling scheme; EU simplifies AI-cyber regulation.
AI output changes over time. Learn how to detect and prevent drift so your workflows stay consistent, accurate, and secure.
U.S. approves export of advanced AI chips to Middle East; House passes legislation to monitor terrorist use of generative AI; new cybersecurity training approaches emphasise AI-literacy.
AI meeting assistants are helpful, but meetings often contain your most sensitive data. Learn how to use AI for intelligence without leaking critical information.
Deepfakes and AI-crime surge in Ohio; Black Kite launches AI Agent for third-party risk; exploit targets AI orchestration framework; global AI-in-cybersecurity market forecast hits $154.8 bn.
Before adopting any AI tool, run it through a quick due-diligence checklist to uncover hidden risks in data handling, access control, compliance, and transparency.