Stop Guessing AI Security: A Maturity Reality Check - Seguridad Mania.com - España y América Latina

AI adoption is accelerating faster than most security programs can keep up - and regulators are catching on. Frameworks like OWASP AIMA, NIST AI RMF, ISO 42001, and the EU AI Act are quickly becoming the benchmarks boards, auditors, and regulators will expect organizations to prove compliance in 2026. But here’s the problem: most teams don’t actually know where their AI security program stands today - or what “good” even looks like. In this webinar, Robert Nilsson (EVP Customer Experience) and Jeffrey Martin (VP Product & GTM) introduce the AI Security Maturity Model - a practical, standards-aligned framework designed to help security and engineering leaders assess their current AI security posture, identify gaps, and build a clear, defensible roadmap forward. You’ll learn how to: -Benchmark your AI security program across four maturity stages - Emerging to Leading -Identify common blind spots in AI governance, model behavior, supply chain risk, and lifecycle controls -Map real-world AI risks (prompt injection, data leakage, hallucinations, shadow AI) to concrete controls required by leading standards -Turn maturity gaps into actionable priorities that reduce risk, accelerate compliance readiness, and justify security investment The session will also include a walkthrough of a vendor-neutral AI security self-assessment, showing how teams are using maturity insights to support budget discussions, guide platform decisions, and move faster from AI experimentation to audit-ready operations. If you’re being asked one question by leadership right now - “Are we secure enough for AI?” - this webinar will help you answer it with confidence.