Immuta

Human-centric access controls were designed for people. AI agents work differently.

Traditional access controls make decisions before the work begins. But AI agents need access decisions while the work is happening.

The question is no longer simply whether an agent can authenticate. It’s whether you can govern what it can answer, on whose behalf, for what purpose, and with what evidence.

That’s the authorization model needed to move AI from experimentation to production.

Read the full article: ow.ly/79N651055KR

Major enterprises could face critical AI incidents within the next 18 months.

That’s the prediction from Immuta CISO Michael Scott in an interview with @helpnetsecurity.

But his bigger concern is what’s driving that risk: organizations are giving AI agents access to sensitive data before they’ve worked out how to properly control that access.

Agents shouldn’t automatically inherit everything a user can access. They need permissions that match the task, expire when the work is done, and remain traceable through every agent and tool involved.

Read the full interview: ow.ly/Byfc51055F2

Immuta is heading to the Data + AI Summit in Atlanta!

We’re looking forward to connecting with data and AI leaders and talking about what’s next for AI, data access, and governance.

If you’re attending, come and say hello.

Join Immuta and Atlan for an invite-only dinner with fellow data leaders exploring how AI is changing the way organizations think about data access.

Over dinner, we’ll trade notes from the day, discuss what teams are learning as AI tools begin working with company data, and share practical perspectives on what could come next.

Request your invite: ow.ly/F4Z75104e4i

What does Immuta add to @Teradata AI Studio?

With Immuta’s functionality built into Tera skills, data owners, stewards, and governance teams can manage access without leaving the environment.

-Policy authoring and enforcement: Author policies in Immuta and have Teradata enforce them natively on every query, including row filtering and column masking for people and AI agents.

-Data request workflows: When a user needs data they can’t access, Tera can raise the request directly in the conversation, with purpose, regulation, and duration attached. Routine requests can be approved automatically, while others are routed to the right reviewer.

-Proof of compliance: Comply provides visibility into the policies, approvals, and access activity behind each decision, including who asked, which agent acted, and what was accessed.

Learn more: ow.ly/j3Yu5103ORP