Agent anomaly detection & workload assuranceExecution risk from silicon to semantic
Before an autonomous agent executes a critical task, someone needs to answer: "Is it safe to act right now?" FFWD is the only platform that answers this quantitatively, with a real-time Execution Risk Score that evaluates the agent, the full stack beneath it, and the task at hand.
Powered byNio, our open-source agent guard for Claude Code, Codex CLI, and any tool-calling AI agent.
The stack affects the agent. The agent affects the stack.
Agent monitoring alone is insufficient without the full picture.
Infrastructure silently degrades agent judgement
The agent’s reasoning is only as good as the stack that supports it. When endpoints drift, data goes stale, or infrastructure shifts beneath it, the agent’s ground truth distorts, and the work completes against a reality that has changed.
Agent actions impacting downstream systems
Every agent action lands somewhere: a service, a database, a dependency, an identity. A single mistake can ripple far beyond what the agent itself can see, while the agent’s own logs stay clean.
The clues and symptoms for agent anomalies are scattered across its surrounding environment as well as inside the agent itself.
Nio: open-source agent guard
Execution assurance and observability for autonomous AI agents. Nio is the agent-side enforcement that produces FFWD’s Execution Risk Score.
Nio installs at the edge with your tool-calling agent (Claude Code, Codex CLI, OpenClaw, Hermes) and evaluates every tool call through a multi-phase pipeline before it runs, then allows it, denies it or asks for confirmation. Every action is captured as OpenTelemetry signals plus a local audit trail.
Nio gates execution for the agents most safety solutions don’t cover: infrastructure, data pipeline, deployment and identity agents, with elevated privileges, largely irreversible actions and large blast radii. When they fail, the result is an operational cascade that shows up hours later in an outage report attributed to “infrastructure issues.”
- Real-time pre-execution gating across multiple phases, with weighted scoring
- Static, runtime, behavioural, LLM-based and external scoring engines
- OpenTelemetry metrics, traces, and logs out of the box
- Local JSONL audit log; optional external OTEL export
- Apache-2.0. Runs on your machine and no data leaves
Execution Risk Score
A composite Go/No-Go verdict before every critical action.
Agent State
Model interaction health, behavioural drift, and anomaly patterns in the agent’s own telemetry.
Stack State
Cross-domain evaluation by FFWD’s anomaly engine across the full stack the agent runs on and acts upon.
Task Criticality
The impact level of the agent actions. A log query vs a production network re-route carry very different risk thresholds.
The score combines quantitative marker signals from FFWD’s extensive AI/ML toolbox with qualitative reasoning from LLMs.
Explore the AI/ML toolbox →A closed loop in both directions, with zero instrumentation
Telemetry comes in and Risk Scores go back out, without touching agent code.