
Enforces deterministic, rule-based guardrails on AI agent actions in real time.

Enforces deterministic, rule-based guardrails on AI agent actions in real time.
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Sondera develops a runtime enforcement layer for AI coding and autonomous agents. The platform converts security and compliance rules written in plain language into verified, deterministic code that checks every agent action before execution, producing consistent allow or deny verdicts for the same action every time. The core problem the company addresses is that individual agent actions can each be permitted in isolation, yet the sequence of actions can still cause damage, such as an engineering agent deleting a customer database while cleaning up storage, a finance agent leaking financial data to an external tool, or an HR agent disclosing material non-public information while researching a executive search. Sondera's system is designed to evaluate agent behavior against defined rules across an entire trajectory of actions rather than checking single steps in isolation. The product integrates with a range of coding assistants and agent frameworks, including Claude Code, GitHub Copilot, VS Code, Cursor, Codex, Gemini CLI, Antigravity, OpenCode, OpenHands, Hermes, LangGraph, ADK, Strands, and MCP, as well as custom agent harnesses through an open-source SDK. The company positions its offering around the concept of semantic integrity and deterministic rule enforcement for AI agents, aiming to give organizations verifiable guarantees about what their agents can and cannot do, so that agent permissions can be expanded with documented safety proofs rather than trust alone. Sondera publishes research related to agent security and provides technical documentation for its SDK and enforcement engine. The target audience includes organizations deploying AI coding agents and autonomous agents across engineering, finance, and HR functions that require auditable controls over agent actions.