VotalAI

VotalAI is a runtime security platform designed to secure enterprise AI applications and agents. The company focuses on enforcing guardrails, identity verification, data policies, and tool authorization in real time across AI interactions — from prompt input to tool call output. The platform operates as an intermediary layer between AI agents and large language models (LLMs), including OpenAI, Anthropic, AWS Bedrock, and self-hosted models. It inspects every prompt and token in real time with sub-15ms latency overhead and supports deployment in private cloud, on-premises, or air-gapped environments. VotalAI's guardrail stack consists of three layers: - Fast Guard: deterministic edge checks including keyword blocklists, regex, PII detection, and rate limiting (~0ms) - Neural Probe: trained linear probe detecting encoding-based and steganographic attacks (~250ms) - Deep LLM Guard: adversarial classifier covering 40 attack techniques including jailbreaks, topic enforcement, and toxicity (~500–700ms) The platform includes a runtime policy engine that supports policy-as-code via YAML, Git-based workflows, CI/CD integration, and SDKs in Python, TypeScript, and Go. It provides role-based access control (RBAC) for tool calls, cryptographic agent identity management, and immutable audit logs. The company holds SOC 2 Type II certification. VotalAI integrates with NVIDIA's NeMo Guardrails toolkit and Nemotron model stack, and is a member of NVIDIA's Open Secure AI Alliance. The platform is compatible with agent frameworks including LangChain, LlamaIndex, CrewAI, OpenAI Assistants, Bedrock Agents, and custom orchestrators. Partners include NVIDIA, Dell Technologies, Rafay, Tokyo Electron, Moro Hub, and the Linux Foundation.