Cyber risk rethought for AI
Security leaders say AI adoption requires a new model for cyber risk — 78% of executives surveyed argue static approaches no longer work as agents and automated systems proliferate, raising stakes for privileged access and data governance in sales and marketing stacks. That shift matters because sales platforms now hold sensitive intent and customer data. (bankinfosecurity.com)
Information Security Media Group published the piece and accompanying video on March 25, 2026, featuring industry expert Alberto Yepez discussing the need to move from reactive security to adaptive, AI-aware risk models. (bankinfosecurity.com) Ernst & Young’s Cybersecurity Roadmap Study of 500 senior security leaders, released March 19, 2026, says organizations plan to increase cybersecurity budget share for AI solutions and expect agentic AI to play a central defensive role over the next two years. (ey.com) Salesforce launched its “Data Governance for the AI Enterprise” suite in September 2024 to give IT teams tools for tracking and controlling data used in AI workflows inside CRM and marketing platforms. (salesforce.com) A ZoomInfo survey of more than 1,000 go-to-market professionals in 2025 reported frontline users saw a 47% productivity boost and saved an average of 12 hours per week from AI tools, driving deeper integration of AI across sales stacks. (pipeline.zoominfo.com) Gartner’s 2025 marketing-technology research found martech utilization had dropped to 49%, a configuration gap that analysts warn increases risk from unmanaged vendor connections and exposed customer data. (gartner.com) Moody’s 2025 Cyber Survey flagged weak AI governance as a growing source of data-breach risk, urging firms to strengthen controls around models, training data, and privileged access in customer-facing systems. (moodys.com)
