OBSERVE
Collect approved security events and build context around assets, identities and behaviour.
Sentinel is being developed as a defensive platform that observes security events, analyses relationships, makes risk explainable and places response under explicit policy and authority boundaries. The goal is not more alerts, but better-supported action while preserving evidence.
Sentinel is being developed as a defensive platform that observes security events, analyses relationships, makes risk explainable and places response under explicit policy and authority boundaries. The goal is not more alerts, but better-supported action while preserving evidence.
Modern environments produce large volumes of telemetry and alerts. Sentinel explores a model where observation, AI-assisted analysis, policy and human control remain separated. The platform is explicitly defensive and is not designed as a black box allowed to make unrestricted production changes.
Collect approved security events and build context around assets, identities and behaviour.
Analyse correlations, deviations, confidence and alternative explanations.
Evaluate possible response against policy, role, severity and explicit authority.
Only permitted, bounded response; high-impact actions remain policy- and authorisation-driven.
Relate security events to identities, endpoints, services and network context.
Use confidence, alternative explanations and correlation without giving AI authority policy does not grant.
GREEN, YELLOW, ORANGE and RED structure severity; response remains separately bounded by policy.
Preserve timeline, actor, policy, outcome and relevant hashes/references for reconstruction.
Containment is designed to be bounded, authorised and reversible where possible.
On-premise/private cloud remains the primary design model for sensitive enterprise and public environments.
Investigates alerts, incident context, severity and evidence.
Governs policy boundaries, authority and assurance requirements.
Assesses deployment, integrations, endpoints and operational recovery.
Reviews timeline, controls and rationale without operating security controls.
An event is not merely marked “suspicious”; the analyst sees involved assets, earlier events and the basis for severity.
A possible containment action is allowed only when configured policy, role and severity explicitly permit it.
A team can review which signals, decisions, overrides and actions led to the outcome.
Sentinel is designed around a simple but important principle: observing is not the same as knowing, and knowing is not the same as being authorised to act. In cybersecurity those three layers are often collapsed too quickly. A device responds on the network, an identity changes, a process behaves unusually or an external indicator suggests risk; that information matters, but it is not yet a complete conclusion. Sentinel therefore treats signals as evidence that requires context. The interface explicitly shows what was actually observed, which classification was added by an operator, which correlation was performed and which action boundary applies. A security team can therefore keep detection, interpretation and authority clearly separated.
Live LAN Discovery illustrates this boundary clearly. A device can be visible through passive neighbour information or a deliberately bounded presence check. Sentinel records that observation without automatically promoting the object to managed, safe or approved status. An absent response is likewise not silently converted into an offline claim. This matters because network evidence is incomplete by nature: devices sleep, move, change interfaces or stop responding for reasons unrelated to compromise. The product therefore keeps first seen, last observed, continuity and operator-supplied asset identity as separate concepts instead of turning one network event into an authoritative inventory decision.
Sentinel’s defensive model also separates advisory logic from response authority. Detection and correlation can raise attention, group related evidence and present a recommended next step, but a recommendation does not become an unrestricted production action by itself. Where an action capability is introduced, it belongs behind an explicit role, policy and deployment boundary. That approach is deliberately conservative: it reduces the risk that a false positive, incomplete context or compromised integration becomes an automatic disruptive response. Human override, auditable decisions and fail-closed boundaries therefore matter as much as the detection algorithm itself.
The visible interface is only one part of the product. A serious deployment also depends on identity, least privilege, secure storage, update discipline, logging, backup and recovery, network boundaries and qualification of every privileged connector. Sentinel therefore publishes product status and open gates rather than presenting a pilot as if it were already independently certified. The current product line can demonstrate concrete defensive capabilities and release evidence, while broader production claims remain tied to external validation such as code signing, clean-environment qualification and independent security review where required. That distinction is intentional: security credibility comes from knowing exactly which controls have been proven and which still require evidence.
Sentinel follows a layered design: connectors/events provide observations; analysis/correlation produces hypotheses and severity; policy determines what is allowed; audit preserves what happened. Failure of an external connector must not take down the detection core.
A connector is only described as integrated after contract, authentication, failure handling, rate/abuse controls and relevant vendor or customer acceptance are actually complete. Researched or planned connectors are labelled accordingly.
Primary enterprise/public-sector direction so raw telemetry can remain under customer control.
Controlled external intelligence/update channels where explicitly permitted, without automatic telemetry export by default.
Local analysis, external AI optional/off and controlled update bundles as a deployment direction for stricter environments.
External Pilot Qualification & Deployment Assurance R1. A pilot release candidate is not a claim of broad production readiness; external pilot, independent assurance, signing and customer-specific acceptance remain separate gates.
An initial discussion focuses on use case, organisation, existing systems, security requirements and desired deployment before a proposal is prepared.