Votal
Votal AI provides a runtime security platform for agentic AI, securing every interaction from prompt to tool call with real-time guardrails, identity management, data policies, and tool authorization. The platform continuously monitors and enforces security policies across AI workflows, enabling enterprises to deploy AI agents safely in production environments.
- Cybersecurity
- Artificial Intelligence
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Enterprises deploying AI agents and autonomous systems face growing security risks at runtime, including prompt injection, unauthorized tool access, data exfiltration, and identity spoofing. Traditional static security testing fails to protect against dynamic, context-aware attacks that occur during live AI interactions, leaving organizations exposed to data breaches and compliance violations.
Solution
Votal AI provides a runtime security platform purpose-built for agentic AI, delivering real-time protection across the entire interaction lifecycle—from user prompts to tool calls. The platform enforces granular guardrails, verifies user and agent identity, applies data policies, and authorizes tool usage dynamically as each interaction occurs. Continuous adaptive red teaming simulates adversarial attacks against AI models to uncover vulnerabilities before they can be exploited, while automated remediation closes gaps in real time. The platform provides detection accuracy and compliance reporting tailored for production AI environments, giving security teams full visibility into AI system behavior and policy adherence.
Target Audience
Primary customers are enterprise security teams, AI platform engineers, and compliance officers responsible for deploying and governing agentic AI systems in regulated industries such as finance, healthcare, and technology.
Features
- Real-time guardrails that intercept and validate every prompt and tool call before execution
- Identity and access management specifically designed for AI agents and human-AI workflows
- Data policy enforcement to prevent sensitive information from leaving authorized contexts
- Dynamic tool authorization that verifies each tool invocation against predefined security rules
- Continuous adaptive red teaming that autonomously simulates adversarial attacks to discover vulnerabilities
- Compliance reporting and audit trails for production AI environments supporting enterprise governance requirements