DataBee this week published a round of predictions and recommendations from data experts. In 2025, enterprises sprinted toward AI, but DataBee predicts that in 2026 these same enterprises will discover that the real differentiator isn’t the model; it’s actually the quality, normalization, and lineage of the data fueling the model.
he AI Reality Check: Why Curated Security Data Wins in 2026
In 2025, enterprises sprinted toward AI. In 2026, they’ll discover that the real differentiator isn’t the model—it’s the quality, normalization, and lineage of the data fueling it. Expect a rollback of AI hype as organizations confront fragmented security tooling, manual reporting, and point-in-time compliance. The leaders who win will shift to continuous controls compliance anchored in curated, clean datasets—then layer agentic AI on top as a “data expertise assistant” to scale decisions, not to shortcut rigor.
These predictions and recommendations come from Tyler Alfriend and Stephanie Whitnable, two of DataBee’s top data experts and practitioners. Drawing on their extensive experience in data engineering and analytics for compliance and cybersecurity, they share what organizations must do to turn AI hype into measurable business outcomes in 2026.
1) From Point-in-Time to Continuous Controls Compliance
Compliance is moving beyond 12-month lookbacks and sample-based testing into full-population monitoring at the data source. This shift makes compliance auditable, repeatable, and defensible—and it’s the only way to support real-time executive reporting and board-level confidence.
“The big intersection point is taking full populations from the data source to perform compliance tests—moving away from point-in-time and sample-based reporting.” — Tyler Alfriend
What to watch: Teams will sunset manual “number-hunting” in spreadsheets and instead, funnel direct, automated feeds from systems of record into compliance analytics.
2) Agentic AI Becomes the Data Expertise Assistant
As compliance gets data-centric, skill gaps surface: policy experts don’t always speak in SQL. In 2026, agentic AI steps in—not to replace domain expertise, but to amplify it. Think of it as a side-by-side assistant that translates policy into queries, navigates complex schemas, and surfaces exceptions—while the human retains judgment, context, and accountability.
“Agentic AI could be the ‘data expertise assistant’ that lets compliance pros operate in a new data-centric world without losing their core skill set.” — Tyler Alfriend
Leadership angle: Executives won’t start their day with dashboards; they’ll start with AI-generated briefings: “What’s in tolerance? Where should I focus?” Visuals still matter—but they become working dashboards for teams to validate, triage, and remediate with embedded automation.
3) Dashboards Don’t Die; They Get Practical
Rather than executive vanity metrics, 2026 rewards operational dashboards connected to automated workflows (tickets, playbooks, remediation actions). AI summarizes; dashboards execute. The cycle becomes: AI briefing → working dashboard → auto-generated remediation → continuous evidence trail.
“Dashboards stay, but as working spaces linked to automation, so teams can verify gaps and trigger remediation actions.” — Stephanie Whitnable
4) The Rise of Curated, Normalized Domain Datasets
AI won’t learn your unique policies or tool quirks out of the box. The key to unlocking AI’s potential is curated, clean domain datasets that abstract local nuance and enable AI to answer many questions—not just the one a single report was designed for. In 2026, data programs invert: build deep datasets first, then let AI generate the metrics and views on demand.
“It’s about building deep datasets around a domain—strip out nuance so AI can thrive.” — Tyler Alfriend
“The first word that comes to mind when I think about ‘AI-ready data’ is clean; normalized, clean data is required for the data sets feeding AI to answer lots of questions.” — Stephanie Whitnable
5) A Unified Security Data Fabric Moves from Idea to Imperative
Security teams live with more tools per capita than any other business unit, which obscures data clarity and creates inconsistent language across consoles. 2026 is the breaking point: the AI wave exposes data fragmentation and accelerates adoption of a security data fabric—a unifying layer that normalizes, enriches, and governs controls evidence across tools, then feeds it to AI and compliance analytics.
“Cybersecurity has way more tools per capita… and paradoxically less awareness of data problems. A security data fabric is the solution behind AI.” — Tyler Alfriend
6) The Great AI Reality Check
Enterprises expecting “push-button AI” will be disappointed. The constraint is data cleanliness and context, not model horsepower. Expect a rollback of hype as home-grown initiatives collide with messy datasets. The best outcome? A refocus on fixing data at the source and investing in people who can bridge business context with analytics and AI.
“It’s not going to work as perfectly as expected. Clean data still hasn’t had its spotlight.” — Stephanie Whitnable
“Don’t treat AI as an easy button. Build a good data environment, and AI can finally do what it’s hyped to do.” — Tyler Alfriend
2026 Playbook: Five Actions to Operationalize These Predictions
- Embed source-level data into compliance
Replace sample-based checks with full-population, automated monitoring at the data source. - Stand up curated domain datasets
Normalize controls, events, assets, identities, and policies into clean, governed tables that AI can interrogate broadly. - Deploy agentic AI for briefings; keep dashboards for work
Give leaders morning summaries from AI, then route teams to dashboards with embedded remediation workflows. - Invest in people and upskilling
Pair business context owners with analytics upskilling and AI tools. - Adopt a security data fabric
Reduce “tool-silo sprawl.” Unify telemetry, controls evidence, and policy mappings in one fabric.
The Media Trust Expands Digital Trust and Safety Solutions with Microsoft Owned and Operated Publishers
Posted in Commentary with tags The Media Trust on January 15, 2026 by itnerdThe Media Trust today announced its technology and team helping strengthen trust and safety across Microsoft’s advertising ecosystem.
Through this collaboration, The Media Trust will provide critical global threat detection and real-time mitigation solutions to enhance Microsoft’s ability to protect users of its owned and operated publishers from malware, redirects, cloaked ads, and other malicious activities that can undermine user experience and disrupt digital revenue. This collaboration will enhance Microsoft’s ability to deliver a secure, high-quality advertising environment for consumers and partners worldwide.
The Media Trust will utilize its proprietary AI detection, global infrastructure, and malware team visibility across other partner inventory to identify and eliminate threats at the source, ensuring protection without unnecessarily disrupting legitimate advertiser revenue. TMT’s global infrastructure, advanced emulation technology, and expert malware analysis teams provide the scale and precision needed to meet the complex challenges of modern ad ecosystems.
This collaboration reflects The Media Trust’s continued leadership in digital trust, helping global brands, platforms, and agencies safeguard their users and revenue through a cleaner, more transparent advertising ecosystem.
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