AI agents amplify identity risk; OAuth tokens exploited in SaaS/AI integrations; U.S. charges GPU smuggling scheme; EU simplifies AI-cyber regulation.
Cybersecurity Blog
Managing AI Output Drift: Keeping Your Results Consistent Over Time
AI output changes over time. Learn how to detect and prevent drift so your workflows stay consistent, accurate, and secure.
AI Security Daily Briefing — November 20, 2025
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 for Meeting Intelligence: Capture More, Leak Less
AI meeting assistants are helpful, but meetings often contain your most sensitive data. Learn how to use AI for intelligence without leaking critical information.
AI Security Daily Briefing — November 19, 2025
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.
Evaluating AI Tools Before Adoption: A Quick Due-Diligence Playbook
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.
AI Security Daily Briefing — November 18, 2025
SentinelOne releases new AWS integrations to secure GenAI workloads, Google patches an actively exploited Chrome zero-day, an Imunify AI-Bolit flaw threatens hosting environments, and state-level AI regulation surges ahead of federal policy.
Building AI-First Documentation Habits
Build documentation habits that make your AI workflows repeatable, auditable, and secure — from versioning prompts to tagging AI-assisted outputs.
AI Security Daily Briefing — November 17, 2025
Critical RCE flaws in AI inference frameworks; survey shows AI adoption outpacing security controls; AI agents now spoof behavioural biometrics; defence must shift to predictive posture.
AI for Decision Support: Avoiding False Confidence
Use AI to accelerate decisions, but never outsource judgment. Learn how to structure AI-assisted decision workflows that expose assumptions, demand verification, and avoid false confidence.
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