Introducing Bigeye's AI Trust Platform
TL;DR: Bigeye is expanding from data observability to AI Trust with the first platform built to monitor, control, and enforce how AI agents access and use enterprise data.
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Today, we’re introducing the AI Trust Platform: a critical new layer in the enterprise AI stack. It’s built to give organizations visibility, control, and accountability over how AI agents access and use data.
The platform is in development now and will launch later this year. And when it does, it will be the first of its kind: purpose-built to govern AI data usage.
Why This Matters
Enterprises are racing to adopt AI. But most are doing so without the infrastructure to answer basic questions like:
- What data is this agent using?
- Is the data reliable?
- Is this agent allowed to access that dataset?
As one Data and Analytics Leader at a Fortune 500 healthcare company told us:
“I don’t want to be negative, but I do want to be a cautionary voice to say that while we have an opportunity, we also need to have a governance model around [AI].”
We agree.
Without tools to monitor how agents behave, or guardrails to prevent bad outcomes, organizations are exposed to serious risks: compliance issues, bad decisions, and reputational damage.
What Is an AI Trust Platform?
An AI Trust Platform fills a critical gap.
It’s built to bring oversight to agent-driven data usage, from what data they access to where that data originated from. It’s the system that ensures AI agents act on approved, high-quality data and minimize sensitive data access.
Bigeye starts by giving teams an inventory of every active agent, so they know exactly what’s running and where.
But the AI Trust Platform is built to make agent data usage governable, not just visible.
The platform helps answer the three core questions that underpin any AI initiative:
- Quality – Are agents acting on reliable, up-to-date inputs?
- Sensitivity – Are they accessing data they shouldn’t?
- Certification – Are they using only approved datasets?
It includes trust scoring and risk visibility for every agent, so teams can track trust at the system level and pinpoint where oversight is needed most.
The platform delivers three foundational capabilities:
- Governance – Enforceable policies that define how agents access and use data.
- Observability – Real-time insight into the quality, security, and compliance posture of the data powering AI systems.
- Enforcement – The ability to monitor and control agent activity based on enterprise policy, whether that means alerting, blocking, or guiding usage.
And it all comes together in one centralized dashboard so teams can move from scattered visibility to structured control.
Why Now
Because regulators are watching, and so are your customers.
With new regulations like the EU AI Act starting to take effect in 2026, organizations will soon be expected to audit, explain, and take responsibility for how AI systems behave. But existing governance tools (designed for human users) aren’t built for the speed and autonomy of AI agents.
As Bigeye CEO Eleanor Treharne-Jones puts it:
“We’ve helped data teams build trust in their pipelines. Now it’s time to extend that trust to the decisions AI is making with that data.”
What’s Next
Bigeye’s AI Trust Platform will launch in late 2025.
Learn more about our approach here.
In the meantime, we’re gathering the best minds in data and AI governance for the first-ever AI Trust Summit, happening in early 2026. Want to be part of the conversation?
👉 Sign up to get updates on the Summit
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