News for today:
- [MIND] Research on data trust and AI initiative success. MIND released a new research study on the interplay between AI adoption and how well organizations can secure and govern their data. 90% of organizations are running enterprise GenAI at scale, yet 65% of CISOs lack confidence in their data security controls and only 20% of AI initiatives meet their intended KPIs. The research introduces a clear insight: data trust is the degree of confidence that systems, including AI, use data safely and appropriately. When that trust is high, organizations move faster. When it is not, AI slows, stalls or introduces risk that outweighs its value. MIND
- [Salt Security] Gap between deployment and security maturity for AI agents. Salt Security’s latest report found that only 8% of organizations have the advanced security maturity to support the deployment of autonomous AI agents. As organizations scale AI-driven automation, security is failing to keep pace, creating what Salt defines as the Agentic Security Gap. The security of modern AI environments now requires visibility and control across the entire agentic stack, not just individual APIs. Salt Security
- [OPSWAT] AI-based threat detection engine for MetaDefender. OPSWAT announced OPSWAT Predictive Alin AI, which offers a new / complementary way of detecting threats in files processed through its MetaDefender Platform. OPSWAT Predictive Alin AI is a machine learning-based static analysis engine that evaluates file structure, entropy patterns, and semantic relationships to predict whether a file will behave in a malicious way, without solely relying on signatures or runtime execution. It delivers sub-100-millisecond inference for most files, operates with a small memory footprint, and performs identically in online and offline deployments. OPSWAT