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Ave Gatton

๐Ÿ‘ค Speaker
190 total appearances

Appearances Over Time

Podcast Appearances

Code Story: Insights from Startup Tech Leaders
The Gene Simmons of Data Protection - AI Inference-time Guardrails

We are currently seeing the rollout of agents in a lot of different industry verticals.

Code Story: Insights from Startup Tech Leaders
The Gene Simmons of Data Protection - AI Inference-time Guardrails

Finance is a large one.

Code Story: Insights from Startup Tech Leaders
The Gene Simmons of Data Protection - AI Inference-time Guardrails

There's also healthcare.

Code Story: Insights from Startup Tech Leaders
The Gene Simmons of Data Protection - AI Inference-time Guardrails

And then there's a whole slew of agents that are outward facing customer service.

Code Story: Insights from Startup Tech Leaders
The Gene Simmons of Data Protection - AI Inference-time Guardrails

agents.

Code Story: Insights from Startup Tech Leaders
The Gene Simmons of Data Protection - AI Inference-time Guardrails

Roughly speaking, I divide these categories into dividing these agents into two categories, one being outward facing to customers and one being inward facing where the customer is an internal employee of the company.

Code Story: Insights from Startup Tech Leaders
The Gene Simmons of Data Protection - AI Inference-time Guardrails

And you might expect that those internal facing agents are more secure because the users are a trusted individual.

Code Story: Insights from Startup Tech Leaders
The Gene Simmons of Data Protection - AI Inference-time Guardrails

But when we look at the recent trends in cyber security, you find that a lot of large companies now expect that bad actors will actually come from internal employees as opposed to external users.

Code Story: Insights from Startup Tech Leaders
The Gene Simmons of Data Protection - AI Inference-time Guardrails

And you have the added danger that the internal agents usually are given higher permissions

Code Story: Insights from Startup Tech Leaders
The Gene Simmons of Data Protection - AI Inference-time Guardrails

and have access to more sensitive data, specifically because they are being used by internal employees.

Code Story: Insights from Startup Tech Leaders
The Gene Simmons of Data Protection - AI Inference-time Guardrails

And of course, hearkening back to this concept that you can have an agent, if it doesn't have access to anything meaningful, then it can't really do anything useful.

Code Story: Insights from Startup Tech Leaders
The Gene Simmons of Data Protection - AI Inference-time Guardrails

You have to give it access to meaningful information in order for it to take meaningful actions.

Code Story: Insights from Startup Tech Leaders
The Gene Simmons of Data Protection - AI Inference-time Guardrails

So I would say that, in fact, the security becomes more important for internal facing agents that are talking to internal employees and are accessing more sensitive data than they are for, say, external facing public employees.

Code Story: Insights from Startup Tech Leaders
The Gene Simmons of Data Protection - AI Inference-time Guardrails

service agents or whatnot, what have you, that way you can pretty effectively lock down their ability to see sensitive information.

Code Story: Insights from Startup Tech Leaders
The Gene Simmons of Data Protection - AI Inference-time Guardrails

Yeah, it's a good question.

Code Story: Insights from Startup Tech Leaders
The Gene Simmons of Data Protection - AI Inference-time Guardrails

There's a lot to unpack there of like why you can't just take traditional security and apply it to an agent.

Code Story: Insights from Startup Tech Leaders
The Gene Simmons of Data Protection - AI Inference-time Guardrails

Certainly there's a lot of traditional security that you can take and apply to an agent.

Code Story: Insights from Startup Tech Leaders
The Gene Simmons of Data Protection - AI Inference-time Guardrails

Role-based access controls to certain, like to databases and other information.

Code Story: Insights from Startup Tech Leaders
The Gene Simmons of Data Protection - AI Inference-time Guardrails

But you have to think of an agent as taking on the capabilities of the user that's talking to the agent.

Code Story: Insights from Startup Tech Leaders
The Gene Simmons of Data Protection - AI Inference-time Guardrails

And in that case, there's multiple different paradigms.