Guardrails on every input and output, an evaluation gate before anything ships, full observability and an audit trail a regulator will accept - around the AI you build with us and the AI you already run.
The model works. Then it meets security, risk and compliance, and the questions start: what stops a bad input, who approved this, where is the evidence. Sentinel is built so those answers already exist before anyone asks.
A prototype that impresses in a sprint review still has to clear security, model-risk and compliance before it touches a customer. Without guardrails, evals and an audit trail, it has no way to answer the questions those teams are paid to ask - so it waits.
Input and output controls, eval gates and logging get deferred until compliance asks, then retrofitted under pressure onto a system that was never designed for them. Governance added at the end is expensive, brittle, and never quite complete.
“Trust us, it's safe” is not an artifact. Under the NIST AI RMF and the EU AI Act you have to show what was tested, what was decided and what actually happened in production - and most AI systems simply never record it.
Sentinel wraps any model or agent with the controls an enterprise review expects - enforced at runtime on every call, not written in a policy document nobody reads.
Every request is screened before it reaches the model: PII and sensitive-data detection, prompt-injection and jailbreak checks, and topic and policy filters. Malicious or out-of-bounds input is caught at the door, not after the damage.
Every response is screened before it reaches the user: PII redaction, toxic and unsafe-content filtering, and enforcement of the policies your business runs on. What the model says is checked as carefully as what it's asked.
Groundedness, accuracy and safety evals run before anything ships and keep running in production. A change clears the gate only when it meets the bar you set - so quality is a release requirement, not a hope.
Distributed tracing, latency, cost, quality and drift on every call, with alerting when something moves. You can see what your AI is doing in production - and be told before a small drift becomes an incident.
Every prompt, decision, tool call and action is written to an immutable trail, with the lineage that connects an output back to its inputs and its version. When someone asks “what happened, and why”, the answer is already recorded.
Who and what may call which model, tool or dataset is defined once and enforced centrally with role-based access and a policy engine. Authority is scoped on purpose - not discovered after an agent does something it shouldn't.
Five requests, checked one after another. Sentinel sends each down the guardrail stack - input guards, the model, output guards and an eval gate - and returns a decision with an audit entry to match. Pick any request to jump straight to it. This is an illustration of how Sentinel behaves, not a live model call.
Same stack on every request - the safe ones pass, the rest are redacted, blocked or escalated, and all of it is logged.
Sentinel follows the same path whether it's governing a Focaloid-built solution or wrapping an AI system you already run.
Classify the AI system and its risk - what it does, what data it touches, and how the NIST AI RMF and EU AI Act apply. Governance is scoped to the risk, not one size for all.
Wrap inputs and outputs with the guardrails the system needs - PII, injection, topic, safety and policy - enforced on every call from day one.
Stand up evaluation gates for groundedness, accuracy and safety, and wire them into the release path so nothing ships below the bar you set.
Instrument the system with tracing, metrics, cost and drift detection, with alerts that fire before a drift becomes an incident.
Capture every prompt, decision and action in an immutable audit trail, with the lineage that ties each output to its version and its inputs.
Produce the evidence pack risk, security and regulators actually ask for - the tests, the decisions and the production record, ready to hand over.
Sentinel sits between the request and the response - screening what goes in and what comes out, gating what ships, and recording all of it - around a model or agent it doesn't need to own.
Wraps any model or agent - Focaloid-built or the AI you already run.
Focaloid's AI Governance methodology is how we decide whether an AI system is safe, fair and accountable. Sentinel is the production-grade machinery that makes those decisions true at runtime - the same evidence, generated automatically. You use them together.
How we decide an AI system is safe, fair and accountable.
The runtime that makes those decisions true on every call.
Sentinel isn't a roadmap item - it's how Focaloid ships regulated AI today, and how we make AI that's already live ready for the review it hasn't passed yet.
The AI copilots and multi-agent workflows Focaloid operates for regulated clients run inside Sentinel: guardrails on every call, human-in-the-loop on irreversible actions, and EU AI Act-aligned documentation generated as the system runs. The audit trail exists because the system was built to write it.
An in-house model or agent that shipped without a governance story doesn't have to be rebuilt. Sentinel wraps it - guardrails, evals, observability and an audit trail added around what you already run - so it can pass a security and model-risk review on its next attempt, not its fifth.
If an AI system touches regulated data, faces a review, or makes a decision someone will later question, it needs the controls Sentinel provides.
Copilots and agents over payments, portfolios and advice - where a wrong or unsupported output is a compliance event, not just a bug.
AI over clinical and patient data, where PII controls, groundedness and a complete audit trail are not optional extras.
Underwriting, claims and servicing AI that has to show fair, consistent and explainable decisions on demand.
Any team that has to map, measure and manage AI risk and produce evidence for it - Sentinel generates that evidence as the system runs.
The reviewers who have to sign off. Sentinel gives them enforced guardrails, scoped access and a record they can actually inspect.
A model or agent that's live but ungoverned. Sentinel wraps it and makes it review-ready - without a rebuild.
Plenty of tools can filter a prompt. Fewer are built so you'd stake a regulated system on the result - and hand your reviewers the evidence to prove it.
Guardrails, evals, audit and access are properties of the runtime from day one - not a retrofit for when compliance finally asks.
Mapped to the NIST AI RMF and the EU AI Act, ISO/IEC 42001-aligned and delivered by an ISO/IEC 27001-certified team - so the evidence counts where it matters.
Claude, open-weight, fine-tuned or a third-party agent; Focaloid-built or already running. Sentinel governs it without owning it.
Not a dashboard of numbers - the tests, decisions and production record an auditor or model-risk team will actually take.
Runs inside your own environment and security perimeter. Your prompts, outputs and audit trail never have to leave to be governed.
Sentinel is the runtime enforcement of Focaloid's AI Governance methodology - method and mechanism from one team.
Two kinds of reusable IP: the tooling we build and govern with, and the solutions that drop straight into a use case. Sentinel is the governance layer under every one of them - the ready-to-fit ones included.
Sentinel is the layer underneath the whole board. Forge composes and runs the workflows, Blocks supplies the patterns, Velocity carries them through the delivery lifecycle - and Prism and Echo are what they add up to when pointed at a real use case. Every one of them runs inside Sentinel's guardrails, eval gates and audit trail.
Focaloid's AI Governance methodology defines how an AI system is proven safe, fair and accountable - a nine-phase lifecycle mapped to the NIST AI RMF, the EU AI Act and ISO/IEC 42001. Sentinel is the production-grade layer that enforces it on every call and generates the evidence each gate needs. Method and mechanism, from one team.
Explore the AI Governance framework →Proven guardrail, evaluation and observability components, assembled into one governance layer - chosen for what a review will accept, not for a logo on a slide.
The exact components are chosen per engagement - Sentinel is model- and framework-agnostic by design, so it can enforce a new control or map to a new regulation the day one lands.
Both, in sequence. Sentinel is Focaloid's governance framework and the runtime components that implement it - guardrails, eval gates, observability, audit and access control. We stand it up around your AI with your team, then it runs in your cloud as part of the system, not as a service you ship your data to.
Yes. Sentinel wraps any model or agent - Claude, open-weight, fine-tuned, or a third-party system - whether Focaloid built it or you already run it. It governs the AI without needing to own or replace it, which is exactly what makes an existing system review-ready.
Method versus mechanism. Our AI Governance methodology is how we decide whether an AI system is safe, fair and accountable - a nine-phase lifecycle with a go/no-go gate between each phase. Sentinel is the production-grade machinery that enforces those decisions at runtime and generates the evidence each gate needs. You use them together: the method sets the bar, Sentinel holds the system to it.
Sentinel is built around the NIST AI RMF and the EU AI Act first, is aligned to ISO/IEC 42001, and is delivered by an ISO/IEC 27001-certified team. Because the evidence is captured once and mapped to each framework, proving your controls in one place counts toward the others rather than starting over.
No. Sentinel deploys inside your own cloud and security perimeter. Prompts, outputs, evaluations and the audit trail stay where your data already lives - nothing has to leave to be governed.
For a system that's already live, wrapping it with guardrails, evals, observability and an audit trail is typically a matter of weeks, not quarters - because Sentinel is added around what you run rather than rebuilt into it. The first milestone is usually the evidence pack your reviewers have been asking for.
Bring us the system - one you're building or one that's already live. On a 30-minute call we'll map it onto Sentinel: the guardrails, the eval gates, the audit trail and the evidence your reviewers will ask for.
ISO/IEC 27001-certified · NIST AI RMF & EU AI Act-aligned · Deploys in your cloud