At Black Hat, OpenAI revealed more about the OpenAI / Hugging Face AI agent breach. One of their key takeaways for defenders:
“We should invest as well additionally in slowing down offensive agents. Things like honey tokens and deception can introduce uncertainty into the agents’ behavior. Is this credential I found one that I can actually use, or will it trigger a security alert and cause me to be investigated? ... Uncertainty ultimately slows down an attacker.”
It’s a striking recommendation, and it’s aligned with our own research into how offensive agentic behavior changes in the face of deception as well as the guidance published in the immediate aftermath of the breach by the Cloud Security Alliance.
In Hugging Face’s write-up, they note the difficulties imposed by the volume of activities an agent can perform:
We were not dealing with one clever exploit or a clean sequence of attacker actions. They had to correlate thousands of low-signal events across several systems while the agent continued testing new paths. The successful path was hidden inside the noise generated by the thousands of failed ones.
The value that deception provides – in the form of high-fidelity alerts that cut straight through the noise and reveal precisely which system has been compromised – feels more critical than ever in the face of this entirely new class of attack.
We agree with the conclusion of the OpenAI talk:
Threat actors will soon intentionally optimize and deploy agent collectives.
When attacks are not the unintended result of frontier AI evaluations, but are maliciously targeted by threat actors worldwide without any need for sandbox escape, the scale and urgency of the problem is clear.
How can Tracebit help?
The fact that the teams from Hugging Face and OpenAI have shared so much about this breach gives a unique opportunity for insight into what agent-orchestrated attacks could look like in the real world. In this light, we’ll compare the deceptive capabilities offered by Tracebit to some of the Tactics, Techniques, and Procedures (TTPs) publicly disclosed to see how they might hold up.
Read the full post on tracebit.com →