Tag: model governance
5 articles
3 SOC Challenges Exclusive: Best Solutions by 2026
By 2026, AI will be attackers’ force multiplier — and Security Operations Centers must urgently tackle opaque automation, people-and-process shortfalls, and brittle third‑party dependencies. The solution is practical: insist on explainability and provenance, use human‑in‑the‑loop staged automation, and require adversarial‑resilience testing before any autonomous actions go live.
AI Vulnerability Reward Program: Exclusive $30K Best Win
Google’s new AI Vulnerability Reward Program offers up to $30,000 to researchers who responsibly report model flaws — a smart, practical move to incentivize fixes, curb abuse, and make AI safer for everyone.
AI Security Posture Management: Must-Have Best Practices
Rushing to adopt generative AI? Before you buy that shiny AI‑SPM dashboard, ask five practical questions—about assets and ownership, integration, real threat detection, provenance, and legal obligations—to ensure your security investment actually reduces risk instead of just creating paperwork.
AI security Must-Have: Best Defense Tactics
PwC finds organizations are now prioritizing AI security over cloud and network defenses, reallocating budgets to protect models, training data and inference pipelines from novel attacks. That shift means stronger governance, adversarial testing and monitoring are needed to make AI a strategic asset rather than a new liability.
artificial intelligence: Must-Have or Risky for Banks
UK banks are sprinting to unlock AI’s productivity and customer‑service gains while racing to prevent unvetted public models from exposing millions of customers, pushing firms to build private registries, tighter governance, and controlled sandboxes. The big question: can they innovate fast enough to reap AI’s benefits while keeping regulators and customers confident their data is safe?