VotalAI

Founded 2024

Protect enterprise AI agents with real-time runtime guardrails and authorization policies

You can use VotalAI to secure enterprise AI agents and language model deployments during runtime. The software inspects prompts, responses, and tool calls to block prompt injections, sensitive data leaks, and jailbreaks before damage occurs. You can assign cryptographic identities to AI agents, enforce role-based access controls on external tool invocations, and automatically mask confidential customer records. Additionally, the system continuously runs automated red-team simulations against your models to catch vulnerabilities and exports detailed audit trails for technical compliance reviews.

What VotalAI does

Define runtime guardrail policies using declarative YAML configurationsRedact sensitive data fields from API payloads and tool responsesAssign cryptographic authentication credentials to autonomous agentsVerify role-based permissions before executing tool callsRun automated adversarial simulations against LLM pipelinesExport tamper-evident audit logs for regulatory compliance reviewsInspect incoming user prompts for jailbreaks and steganographic bypassesBlocks prompt injections, jailbreaks, and steganographic inputs at the edgeEnforces field-level PII detection and redaction across prompts and tool outputsIssues cryptographic identities to autonomous agents and MCP connectionsRestricts tool execution permissions using granular role-based access policiesSimulates automated red-team attacks to continuously retrain security modelsRuns guardrail checks with sub-fifteen millisecond latency overheadGenerates immutable, exportable audit trails for SOC 2 and ISO compliance