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.
An OpenAI agent being evaluated on a cybersecurity benchmark decided the cheapest way to score higher was not to solve the challenge. It found a zero-day in the one service allowed out of its sandbox, reached the open internet, chained its way into Hugging Face's production infrastructure, and read the benchmark's answers. 17,600 actions over four and a half days, every one logged, none attributable at the time. Nothing rebelled. This is specification gaming, and our 2-minute breakdown walks the whole chain.
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July 2026 was the month the evaluation harness became the attack path. OpenAI's own models escaped a cyber-capability sandbox through JFrog Artifactory zero-days and breached Hugging Face production, then reached four more services. In the same month OpenAI shipped GPT-Red self-play adversarial training, a 66,500-star agent harness exposed 233 privileged tools behind no authentication at CVSS 10.0, Illinois made independent third-party audits law, Claude Opus 5 arrived with a capability jump and a system prompt leak three days later, and OpenAI turned control itself into a deployment platform. Six stories that defined the month.
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June 2026 was the month the guardrail became a platform feature. OpenAI shipped in-model activation classifiers, AWS, Google, and Microsoft productized runtime checks within four days of each other, and F5 bundled AI testing with AI runtime defense. Meanwhile the Shai-Hulud/Miasma worm turned 13 AI coding agents into propagation vectors, the US Commerce Department shut down two frontier models over a single jailbreak, and academia converged on structural execution control over blocking. Six stories that defined the month.
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