TECHNOLOGY RADAR · VERSION 2026.08.30

Placement is a posture, not a prize.

Adopt, Trial, Assess and Watch describe an editorial engineering posture. No vendor ranking, sponsorship or legal approval is implied.

Review dates are editorial checkpoints, not legal deadlines.

Radar records

10 records shown

01Adopt

Policy-as-code for source validation

Fail content builds when required source and status fields are missing.

Evidence level: Operational pattern
Risk: A valid schema cannot verify a legal conclusion.
Review date: 2026-11-20
Change history: 2026-08-20 — entered Adopt for content integrity.

02Adopt

Structured consent receipts

Bind each captured choice to purpose, notice version and event context.

Evidence level: Operational pattern
Risk: Receipt quality depends on identity binding and downstream use.
Review date: 2026-11-20
Change history: 2026-08-20 — entered Adopt for system traceability.

03Trial

Event-driven retention

Use approved lifecycle events to trigger scoped expiry workflows.

Evidence level: Promising implementation pattern
Risk: Unreliable triggers can retain too much or delete too early.
Review date: 2026-10-20
Change history: 2026-08-20 — entered Trial pending dependency testing.

04Adopt

Privacy-safe analytics

Prefer aggregate, purpose-limited measurement with data-minimised events.

Evidence level: Established engineering practice
Risk: Small cohorts and joined datasets can re-identify people.
Review date: 2026-11-20
Change history: 2026-08-20 — entered Adopt with re-identification guardrail.

05Adopt

Software and data-flow inventories

Link services, stores, flows and owners to a controlled change process.

Evidence level: Foundational practice
Risk: Automatically discovered assets still need human ownership and purpose context.
Review date: 2026-12-20
Change history: 2026-08-20 — entered Adopt as an implementation foundation.

06Trial

Rights-request orchestration

Coordinate scoped work without copying personal data into a central case silo.

Evidence level: Operational pattern
Risk: Identity and access design can over-collect or expose request data.
Review date: 2026-10-20
Change history: 2026-08-20 — entered Trial for workflow validation.

07Assess

Field-level encryption and tokenisation

Apply data-level protection where threat modelling supports it.

Evidence level: Context-dependent control
Risk: Key management and query workarounds can erase the benefit.
Review date: 2026-09-20
Change history: 2026-08-20 — entered Assess; requires system-specific evidence.

08Watch

Confidential-computing claims

Demand workload, attestation and threat-model evidence before reliance.

Evidence level: Emerging and claim-sensitive
Risk: Marketing labels can outrun the protected execution boundary.
Review date: 2026-09-20
Change history: 2026-08-20 — entered Watch for evidence maturity.

09Assess

Automated legal-text monitoring

Detect official-source changes while keeping legal interpretation human-reviewed.

Evidence level: Supporting automation
Risk: Source changes, OCR errors and false diffs can mislead operators.
Review date: 2026-09-20
Change history: 2026-08-20 — entered Assess with mandatory human review.

10Watch

AI-generated notices without human review

Do not operationalise generated legal-facing text without accountable review.

Evidence level: High-risk anti-pattern
Risk: Fluent output can hide missing facts, invalid mappings or inaccessible wording.
Review date: 2026-09-20
Change history: 2026-08-20 — entered Watch as a caution, not a recommendation.

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