Show HN: We built free adversarial security testing for agents (OpenClaw too) (ziosec.com)

ZioSec, a newly developed security tool, has been launched to address vulnerabilities in AI agents, especially those that engage in autonomous execution by executing code and calling APIs. Highlighting the significant risk involved in AI operations, ZioSec tests for weaknesses such as prompt injection, data leakage, and flawed model outputs, proving that traditional red teaming approaches often leave up to 85% of the agentic AI attack surface untested. With the increase in multi-turn manipulations and expansive potential attack paths, ZioSec provides organizations with an essential resource to fortify their AI systems against evolving threats. Utilizing AI-driven adversarial testing, ZioSec runs automated attack chains, continuously monitoring for vulnerabilities every time a model or system prompt updates. The tool generates detailed attack traces, automatically creates Jira tickets for discovered vulnerabilities, and verifies fixes without the need for manual re-testing. This capability is crucial as organizations anticipate agentic AI becoming the primary attack vector in the near future. ZioSec not only enhances security protocols but also aids developers in solidifying protections for AI models, making it a significant innovation in the ongoing battle against sophisticated AI threats.