Browsable security environment
Explore the Cyber Security Engine, its workflow, findings model, assets, AI Employee controls and activity surfaces.
NOW LIVE · CONTROLLED PREVIEW
Explore a governed path from authorised security evidence to owned decisions: prioritise supported findings, prepare human-controlled remediation and verify the current state from one operating environment.

DAYBREAK ACCESS ACTIVE
Founder Richy Shofield has completed identity verification and his OpenAI Daybreak access is now active for authorised cybersecurity work. We are announcing that access milestone separately from the launch of Shofield AI Cyber Security, our independent product.
This does not imply an OpenAI partnership, certification or endorsement. The approval does not establish Daybreak Red access, zero-data-retention status, or permission to expose Daybreak through customer-facing workflows. Every use remains limited to the approved identity, workspace, model, product surface and authorised systems.
Read the launch announcementCONTROLLED PREVIEW
The operating environment is open for inspection. Production GitHub App activation and the first end-to-end authorised repository scan remain required before repository scanning is described as generally available.
Explore the Cyber Security Engine, its workflow, findings model, assets, AI Employee controls and activity surfaces.
The GitHub App requests repository metadata and contents read access only. Production activation is still pending.
Deterministic checks and governed AI analysis are built and tested against selected security-relevant source files.
The workflow records severity, confidence, affected file, technical evidence, business impact and recommended action.
Proposed fixes remain reviewable; the platform is designed not to silently apply production changes.
The workflow re-checks current source before a human closes a finding or accepts the residual risk.
Security results identify potential risks and supported findings; absence of a detected finding is not proof that software is secure.
OPERATING LOOP
The loop keeps evidence, ownership and human authority attached to the work from first scope to final verification.
Identify the authorised assets, owners, models, tools and data paths inside the agreed boundary.
Surface supported security signals from source, configuration and connected operating context.
Separate evidence from speculation; rank supported findings by severity, confidence and consequence.
Give every material finding an accountable owner, disposition and approval route.
Prepare bounded corrective action for human review, testing and controlled implementation.
Re-test the current state and retain the evidence trail behind closure or accepted risk.
The operating sequence is Shofield AI’s implementation pattern, informed by OpenAI’s published Daybreak defensive-security loop. It does not mean the customer-facing module is powered by or endorsed by OpenAI.
LIMITED LAUNCH OFFER
Protect client data and professional accountability across Copilot, ChatGPT and AI-enabled workflows—without stopping useful adoption.
Confirm written scope, accountable owners, priority workflow, systems, identities, AI tools and sensitive-data paths.
Review permissions, secrets, integrations, tool access, audit evidence, shadow AI and critical dependencies.
Build the evidence-backed risk register, target control architecture, approval gates, rollback and remediation ownership.
Deliver the executive readout, residual-risk decisions, 90-day roadmap and separately scoped implementation proposal.
OPERATING BOUNDARY
Before any assessment, the system owner, assets, permitted methods, escalation path, data handling and approval authority must be written down.