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.
We built the first systematic framework for testing whether LLMs follow organization-specific policies. Across 5,920 queries and seven frontier models, the result is a fundamental asymmetry: models handle legitimate requests with over 95% accuracy but refuse only 13–40% of direct policy violations — and as little as 3% under adversarial framing.
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We built the first country-grounded, cross-cultural safety benchmark: 5,500 native-language test cases across 10 countries, evaluated on 10 frontier and 27 local models. Country-specific attacks push frontier ASR from 34.5% (US) to 57% (UAE) — and much of what looks like 'safety' in local models is just failure to understand the prompt.
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We built a 1,200-scenario egocentric video benchmark to test vision-language models as real-time safety guards for robots. Every model tested misses context-dependent hazards far more than obvious ones, the best guard alarms on time for barely half of hazards — and a printed sticker in the scene can flip its safety verdict.
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