Deep research. Automated auditing. Cypherly Labs develops proprietary AI agents designed to discover, dissect, and neutralize structural security vulnerabilities across LLM infrastructure, open-source packages, and enterprise software layers.
Our autonomous research vectors target modern infrastructure vulnerabilities at speed, mapping exploits below the linguistic layer.
Deep evaluation of inference engines and chat tokenizers. We expose GGUF metadata leakage, context windows overflow, and raw control-token injection vulnerabilities.
Automated package scanning looking for compromised dependency networks, backdoored commits, security anomalies, and architectural logic bugs in active runtimes.
Continuous external security maps of partner systems, supply chain APIs, and integrations to preemptively detect zero-day vulnerability cascades.
Click below to activate our AI agent and observe how it dissects code, tokenizes parameters, and generates cryptographic exploit chains in real-time.
Read about our discoveries from the frontier of AI infrastructure and software supply chains.
Our research team demonstrates how an architectural End-of-Sequence (EOS) token collision in TinyLlama-1.1B allows attackers to bypass core safety alignment, spoof admin accounts, and leak private system instructions.
Read Full ReportAt Cypherly Labs, we believe that agentic autonomy will define the next decade of technology. However, when software acts independently, standard code reviews fail. We specialize in mapping out complex logical errors, data-control plane collusions, and system overrides that occur at runtime.
By training our proprietary security agents on zero-day vectors, we protect autonomous models and connected APIs before threat actors can weaponize them.