AI threats and model safety dominate the day: researchers demo a self-replicating local-model worm, while vendors race to improve security guardrails for new AI models. Defenders face increasing pressure to manage agent behavior, privacy risks, and deepfake threats on social platforms.
Is your AI incident a model failure or system misuse? Learn how to classify AI issues correctly so you can fix the real problem, not the symptom.
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.
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.
Sweet Security raises $75M for AI protection, Black Duck adds model-risk scanning, Google Cloud urges board-level governance, and Capgemini finds banks scaling supervised AI agents.