The trust layer for agentic automation
FFWD gives enterprises the quantitative Go/No-Go gate for autonomous AI — backed by full-stack anomaly intelligence and a pipeline built for AI-scale data volumes.
AI agents fail in ways nobody is watching for.
Agents hallucinate. Models drift. Logic breaks. The industry is building guardrails for these. Necessary work.
But the costliest failures don't look like bad outputs. They look like cascades. A rogue agent can appear perfectly healthy from the inside — normal logs, zero errors, reasonable latency — while silently triggering damage across the infrastructure around it. The clues aren't simply inside the agent. They're scattered in the operation stack where the agent lives.
Today's AI safety watches what agents say. Almost nobody watches the operational footprint of what agents do — or whether the environment they're acting on is stable enough to act on safely.
FFWD answers the question others can’t :
Is it safe to let this agent act right now?
Assurance. Anomaly. Pipeline. Unified by design.
FFWD Agent Assurance:
The Go/No-Go gate for autonomous AI
A real-time Execution Risk Score — combining agent behavioral state, full-stack infrastructure health, and task criticality — gives your agents a quantitative verdict before every critical action. After execution, a Confidence Score verifies whether the agent acted within normal behavioral norms and feeds back into the next assessment.
Zero-instrumentation collection via eBPF. Continuous behavioral drift detection. Pre-execution gating and post-execution verification in a single closed loop.
FFWD anomaly engine:
Cross-domain anomaly correlation and detection. No Rules required.
Eight proprietary ML models evaluate every dimension of your telemetry simultaneously — structure, sequence, semantic, content embeddings clustering, numeric clustering, categorical distributions, drift analysis, spike analysis, and time-series forecasting. Then correlate across all of them to surface causal chains that span GPU, network, application, and infrastructure layers.
Root cause advisory reports synthesise findings into natural language with symptomatic log evidence. Delivered to humans or directly to AI agents via MCP.
AI-Scale TELEMETRY PIPELINE:
Collect Everything, Everywhere, Instantly
Rust-native telemetry pipeline. 500K events/sec proven, 20TB/day, 5x compression. 50+ source connectors from silicon to semantic — GPU metrics, Kubernetes, SNMP, Kafka, OpenTelemetry, Syslog, and more.
At AI scale, per-GB pricing becomes a budget crisis. FFWD's flat-rate pipeline means your AI observability costs don't grow with your data.
DEPLOYS WHERE YOUR DATA LIVES
Private. On-premise. Air-gapped. Your telemetry never leaves your environment.
Every FFWD module — Pipeline, Anomaly Engine, and Agent Assurance — is designed from the ground up for deployment inside your private infrastructure. On-prem, private cloud, or fully air-gapped. No data leaves your perimeter. No external dependencies required. For enterprises where data sovereignty, regulatory compliance, and operational security aren't optional — they're the starting point.
“We, SAKURA internet, Inc., is constantly pursuing innovations to help our customer’s business run more efficiently and smoothly.
We are very honoured to contribute their success by offering FFWD, a superior observatory services on our IaaS service, “SAKURA’s Cloud” , (so-called, Logging as a Service) provided in SaaS format through this partnership.”
“Capabilities such as infrastructure self-recovery and fast time to restoration after failure are very important to our business. Logs and events are essential clues and triggers to achieving these capabilities. FFWD helps us to affordably collect, analyse and monitor our infrastructure logs and events in real-time, improving our operational reliability and efficiencies.”