Sondera provides a real‑time observability and guardrail platform for autonomous AI agents used by development and security teams. By intercepting each tool call, its neurosymbolic engine enforces policy‑as‑code rules, instantly allowing safe actions and routing risky ones to a human‑in‑the‑loop circuit breaker, while generating immutable audit trails for compliance. The service is offered as a SaaS integration that plugs into existing agent deployments, monetized through usage‑based licensing.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises deploying autonomous AI agents lack visibility into the agents’ runtime actions, creating a blind spot where tool calls can fail or execute unsafe operations. Without real‑time observability and enforceable guardrails, logic errors become operational risks and security teams cannot certify production deployments.
Solution
Sondera provides a control plane that intercepts every tool invocation made by an AI agent and evaluates it against policy‑as‑code guardrails in milliseconds. The platform blocks unsafe actions instantly, while risky calls are routed to a human‑in‑the‑loop circuit breaker for manual approval. All decisions and execution traces are recorded in immutable audit logs that satisfy compliance frameworks such as ISO 42001 and SOC 2. Its neurosymbolic engine combines AI‑driven context analysis with deterministic policy enforcement, enabling adaptive, context‑aware rules that evolve with the agent’s behavior. Developers can configure policies through a declarative DSL, test them in a sandbox using synthetic trajectories, and deploy the validated guardrails to production without code changes. The solution delivers end‑to‑end observability, real‑time risk mitigation, and audit‑ready evidence for high‑stakes AI workloads.
Target Audience
The primary customers are enterprise engineering and security teams that deploy autonomous AI agents in regulated or high‑risk domains such as finance, healthcare, defense, and large‑scale SaaS platforms.
Features
- Real‑time interception engine that evaluates each agent tool call against policy‑as‑code rules within sub‑millisecond latency
- Neurosymbolic analysis layer that fuses symbolic policy evaluation with AI‑based context awareness for dynamic rule enforcement
- Human‑in‑the‑loop circuit breaker that escalates flagged actions to designated approvers via configurable workflows
- Immutable, tamper‑evident audit trail and attribution logs compatible with ISO 42001, SOC 2, and other regulatory standards
- Declarative DSL for context‑aware policies (e.g., environment checks, data residency, PII handling) with versioned policy management
- Sandbox testing environment that runs synthetic agent trajectories to validate guardrails before production rollout
- API and SDK integrations for seamless embedding into existing agent orchestration frameworks and CI/CD pipelines
- Multi‑tenant SaaS architecture that scales horizontally with the number of agents and policy executions