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Defend the AI-powered business.

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.

Controlled previewLimited launch cohortHuman approval required
Shofield AI Cyber Security Engine — Now Live

A meaningful defensive-security milestone.

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 announcement

A governed path from signal to verified decision.

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.

01

Browsable security environment

Explore the Cyber Security Engine, its workflow, findings model, assets, AI Employee controls and activity surfaces.

02

Prepared read-only connection

The GitHub App requests repository metadata and contents read access only. Production activation is still pending.

03

Validated assessment workflow

Deterministic checks and governed AI analysis are built and tested against selected security-relevant source files.

04

Evidence-led findings

The workflow records severity, confidence, affected file, technical evidence, business impact and recommended action.

05

Human-controlled remediation

Proposed fixes remain reviewable; the platform is designed not to silently apply production changes.

06

Current-state verification

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.

Inventory. Discover. Validate. Assign. Remediate. Verify.

The loop keeps evidence, ownership and human authority attached to the work from first scope to final verification.

  1. 01

    Inventory

    Identify the authorised assets, owners, models, tools and data paths inside the agreed boundary.

  2. 02

    Discover

    Surface supported security signals from source, configuration and connected operating context.

  3. 03

    Validate

    Separate evidence from speculation; rank supported findings by severity, confidence and consequence.

  4. 04

    Assign

    Give every material finding an accountable owner, disposition and approval route.

  5. 05

    Remediate

    Prepare bounded corrective action for human review, testing and controlled implementation.

  6. 06

    Verify

    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.

Start with one 30-day Secure AI Exposure Assessment.

Protect client data and professional accountability across Copilot, ChatGPT and AI-enabled workflows—without stopping useful adoption.

Days 1–5

Authorise and inventory

Confirm written scope, accountable owners, priority workflow, systems, identities, AI tools and sensitive-data paths.

Days 6–12

Map exposure

Review permissions, secrets, integrations, tool access, audit evidence, shadow AI and critical dependencies.

Days 13–24

Prioritise and design

Build the evidence-backed risk register, target control architecture, approval gates, rollback and remediation ownership.

Days 25–30

Decide and mobilise

Deliver the executive readout, residual-risk decisions, 90-day roadmap and separately scoped implementation proposal.

Serious security work begins with limits.

Before any assessment, the system owner, assets, permitted methods, escalation path, data handling and approval authority must be written down.

IN SCOPE
  • Owned or explicitly authorised systems
  • Defensive assessment and supported evidence
  • Human-reviewed remediation proposals
  • Named owners, decisions and audit trail
NOT CLAIMED
  • 24/7 SOC, MDR or emergency response coverage
  • Unbounded penetration testing or autonomous exploitation
  • Certification, compliance guarantee or proof of security
  • OpenAI partnership or customer Daybreak access
CYBER SECURITY · LIMITED COHORT

Request a 30-Day Secure AI Exposure Assessment

Describe the AI-enabled workflow, authorised systems and security concern you want to assess. We will confirm scope, ownership and delivery fit before any work begins.

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