StingerAutomate AI Vulnerability Discovery
StarfortEnforce Real-Time AI Guardrails
Research & BenchmarksSet the Standard for AI Safety
We don't wait for incidents. Our research teams identify next-generation threats at top AI conferences — before they appear in the wild.
We think like attackers. By proactively stress-testing your AI with millions of scenarios, we expose vulnerabilities that traditional testing misses.
Static rules break. Our guardrails continuously learn and adapt to your enterprise environment — blocking threats in real time without slowing down your AI.
Red teaming and guardrails in a single platform. One integration, complete lifecycle coverage from development to production.
Proactive identification of model vulnerabilities and hallucinations with thousands of automated scenarios.
Proxy-level blocking of malicious prompts and real-time masking of sensitive data.
From proprietary LLMs and custom-built agents to commercial APIs like ChatGPT and Gemini — even coding agents like Claude Code and GitHub Copilot. One platform that secures them all.
Deploy as cloud SaaS or fully isolated on-premise — tailored to your data governance and compliance requirements.
A public chatbot on NASA's Parker Solar Probe mission page promised users its answers came only from "vetted, self-contained sources." We red-teamed it into fabricating leaked memos, fake election audits, and climate denial citing the mission's own data — then disclosed it through proper channels and saw the endpoint taken offline.
Read More
No jailbreak, no tricks — just professionally framed requests. Using our Stinger red-teaming engine, we collected 83 confirmed CBRN breaches from Claude Opus 4.8.
Read More
A recent NIST publication argues that no finite set of AI safety rules can protect against all future attacks. As AI agents gain access to tools and enterprise systems, security is shifting from static guardrails toward continuous monitoring and adaptation.
Read More
