Ethically Hacking LLMs, AI agents - what threat actors can do to your training data that powers your agents to execute code remotely.
| Speaker | Thembaletu Mbangcolo |
|---|---|
| Track | Web development |
| Type | Short Talk (25 minutes) |
Abstract
My talk will attempt to spell out what Machine Learning LLMs are, AI agents - what lies at the nucleus of these first. I will then show how they work, what threat actors can do to exploit them and cause data integrity issues, even compromise them away from what they were meant to achieve.
I will demonstrate through code, using Python - its library Pickle and a select method, how threat actors can abuse serialization and deserialization to do harm. How it is possible to conduct SQLi within the RAG eco-system by malicious actors.
If time permit, a brief look at Model Context Protocol and possible abuse of this.
A few pointers on mitigation will also be shared with the audience.
