Just-in-time access
A vendor replaced standing Kubernetes credentials with audited, time-bounded access that expires automatically and logs twice: once by the platform, once by the cluster.
- Before
A vendor with standing credentials into the production cluster. Every security review asked about it.
- What we did
Replaced standing access with just-in-time, time-bounded access requested per incident, approved by the customer, expiring automatically, logged twice: once by the platform, once by the cluster.
- After
Zero standing vendor credentials. Agents monitor and remediate inside the customer's own cluster; humans request access only when the agent cannot. Right-sizing along the way took one service from 46 GB to 3 to 5 GB.
JIT adds minutes to an incident response. We think that trade is right for regulated environments.
Fail-closed. Audited twice.
From standing vendor credentials to JIT audited access
“He wrote the entire stuff. By itself. And I was there, and I was thinking, alright. If I had to write all this stuff, I mean, I would've spent days, days, days.”
“I send that to the programmer and he said, alright. I read your file. I copied the section of the code because he has the right interface, and it works. Wow. Just like magic.”
“Digital worker, it gets spun up, it gets given access to the toolkits that it needs. It gets given access to the data that it needs. Just exists for the period it needs to exist to perform the task. And then it gets torn back down again afterwards.”
“I like that direction, that concept of the agent is the agent. It becomes an entity in its own right with its own ownership and its own missioning, and you get rid of the gray area and the blurry lines.”
“A lot of people are telling us that, oh, I sold in this package because of this info... I secured this distribution because of the selling assistance help.”
“I am not a programmer. I cannot read a line of program in SQL or anything... The only thing that I'm doing is just writing prompts.”
“I finally got a chance to play around with the computer asset and build out the chatbot you mentioned. It was really impressive.”
“So we use the SDK, and we write that in Python, and it calls Athena majority by API. The results appear in the interface itself.”
“You guys are functioning better because the harness is tested for a longer period of time against enterprise customers.”
“It's like I'm running analysis that would have taken us, like, maybe a week, two. And thirty, forty minutes.”
Verbatim from customer calls. Customers anonymized.
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