hackagent
making ai agents safe
The problem hackagent solves
Agents are in their very infancy stage. The greatest barrier for them to mature and be able to play a role in high stakes game is safety.
LLMs have a very large surface attack. It is possible to find ways to produce dangerous or unethical results by manipulating prompts, a technique called prompt injections.
We want to build the largest available network of prompt attacks.
To do so we have built an
- open source package with attacks to stress test agents with two lines of code
- a dashboard with attack stats, to monitor safety and iterate on security
- a model that rewards developers for their contribution. We are doing revenue share with developers that submit attacks. We call this "The hackagent Network"
We want to start by covering the specific prompt attacks and selling directly to other security players.
The team has a unique blend of crypto and AI experience.
PROOF of transaction
https://basescan.org/address/0xa618C02de15221f29a4fe0A2FCC03fBad720d199
Challenges we ran into
We tried to implement x402 protocol, but we were too close to the deadline to have an implemention. It would have been a great fit for us to charge API usage and do revenue sharing with devs.
During this period, we have also reached out to several teams to validate this need and build the first POCs.
We'd like to talk with any team working on agents in high stakes situations.
Tracks Applied (1)
AI
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