Defending Against Agentic Attackers Without Frontier Model Access
Key takeaways
Think in routes, not findings
Agentic attackers cheaply chain minor weaknesses into critical attack paths at machine speed and scale.
Own your access to AI during an incident
Safety refusals and provider restrictions can block defenders when they need help most. Build for model portability, availability, and data residency.
Use agents to close the loop
Continuously find attack paths, prove them, draft fixes with human approval, and rerun the attack to verify the route is closed.
About this webinar
When frontier models won't investigate an attack, open-weight models can give security teams a fighting chance.
For CISOs, security engineers, and security teams running AI systems, we'll discuss defending against agentic attackers without frontier model access or when the guardrails block defenders. We'll use the recent HuggingFace/OpenAI incident as an example where an agent took control of a system, and the frontier models refused to investigate, leading the team to use an open-weight model on their own infrastructure instead.
We’ll cover:
• Access to frontier models
• The guardrails that can block investigations
• How open-weight models can provide a workaround
30 minute session with Tal Hoffman , CEO at Enclave.
Speakers
Tal HoffmanCo-Founder/CEO at Enclave
