Solution · Life Sciences

Life Sciences. GxP-grade evidence for software, AI, and the supply chain underneath.

Pharma, biotech, and clinical research organisations run on validated systems and trial-grade data. 21 CFR Part 11, GAMP 5, ICH E6(R3), and the emerging AI-in-trials guidance turn every CI build and every model deployment into a regulator-visible artefact. Safeguard makes that artefact a signed pipeline output — not a year-long validation exercise.

21 CFR Part 11
Aligned
GAMP 5
Mapped
GxP
Validated
ICH E6(R3)
Ready
Industry pressures

Four forces converging on every trial submission.

E-signature, data integrity, AI-in-trials, and CRO oversight — all hitting one validated pipeline.

21 CFR Part 11 electronic signatures

FDA expects electronic records and e-signatures with full traceability — who, what, when, why, and the audit trail behind it. Software that touches trial data inherits the same obligation as the records themselves.

Clinical-trial data integrity (ALCOA+)

Attributable, Legible, Contemporaneous, Original, Accurate — plus Complete, Consistent, Enduring, and Available. Any software in the trial data path has to demonstrably preserve those properties.

EMA / PMDA AI-in-trials guidance

Draft guidance from the EMA and PMDA on AI in clinical research is converging fast. Lineage, validation, drift, and explainability are no longer optional — they have to be in the submission.

Vendor due diligence across CROs

Sponsors run trials through a layered CRO ecosystem. Due diligence cannot stop at the prime contractor; sub-tier vendors carry the same trial data and the same regulator-visible risk.

How Safeguard fits

Capability mapped to inspection-ready expectation.

GxP-validated SBOM pipeline

SBOM emission, signing, retention, and querying run inside a GxP-validated CI pipeline. The pipeline itself ships with IQ / OQ / PQ evidence and a validation summary suitable for inspection.

Clinical-AI model lineage attestation

Every AI model used in the trial workflow carries a signed lineage record — training data scope, training run hash, validation results, deployed version. Available to the regulator as an attestation, not a slide.

Cross-CRO vendor risk

Continuous monitoring across prime CROs and their sub-tier vendors. Concentration risk, residency posture, and breach signals are visible at the sponsor level — not just at quarterly review meetings.

AI-BOM for trial submissions

IND / NDA / MAA submissions increasingly require an AI bill of materials. Safeguard generates the AI-BOM from the same pipeline that emits the software SBOM — one source of truth, machine-readable.

Compliance alignment

Frameworks the platform is mapped to.

Pre-mapped control narratives and evidence in the formats inspectors at CDER, CBER, EMA, and PMDA already accept.

21 CFR Part 11
EU Annex 11
GAMP 5
GxP
ICH E6(R3)
ISO/IEC 27001:2022
GDPR
HIPAA
Reference architecture

A typical deployment across sponsor and CRO sites.

GxP-validated CI pipeline, signed trial-AI provenance, multi-site evidence sync, and a CDER / CBER-ready trust packet.

Step 01

GxP-validated CI pipeline

CI / CD agents, signing infrastructure, and SBOM emission run inside a validated environment. Change control, IQ / OQ / PQ, and validation summary live with the pipeline.

Step 02

Signed trial-AI provenance

Trial AI models — eligibility, adjudication, safety signal — carry signed lineage from training run to deployed version. SHA-pinned weights, signed model cards.

Step 03

Multi-site evidence sync

Sponsor sites and CROs across US, EU, and APAC share a common evidence store with per-region residency. Inspection-ready from any site, no email roundtrips.

Step 04

CDER / CBER-ready trust packet

Pre-mapped submission packet for FDA CDER / CBER, EMA, and PMDA. SBOM, AI-BOM, VEX, audit trail, and validation summary — exported in the formats the reviewer already accepts.

Where the risk lives today

Four risk surfaces every quality and security lead tracks.

Clinical-trial AI model drift

Eligibility, adjudication, and safety-signal models drift quietly as data distributions move. Drift inside a trial is a data-integrity event, not a software bug — and the inspector will treat it that way.

CRO vendor compromise

Prime CROs and sub-tier vendors hold trial data, eCRF systems, and randomisation services. A breach upstream becomes the sponsor's reportable incident and the sponsor's clock.

IND / NDA submission AI lineage gaps

Submissions that reference AI-assisted analysis need a complete lineage record. A gap in lineage becomes an information request from the reviewer — and a delay to the program.

Lab-equipment firmware vulnerabilities

Sequencers, chromatography systems, and bench instruments run software that nobody patches between calibrations. The connected-lab surface is now part of the GxP perimeter.

Current threat landscape

What is actually hitting life sciences this year.

Quantified benefits

Quantified benefits for life sciences.

Numbers from production deployments inside sponsors and CROs. Same inspector, same trial, dramatically less submission overhead.

MetricBefore SafeguardWith Safeguard
21 CFR Part 11 evidence prep8 weeks4 hours
Trial-AI lineage attestation prep3 weeks30 minutes
CRO continuous risk monitoring0%100%
Tool consolidation6 vendors1
Submission AI-BOM prep2 weeks1 hour
Alert noise reduction75%5%
Vendor questionnaire turn-around14 days4 hours

Submission-ready evidence, trial-grade integrity.

Talk to the team about GxP-validated SBOM pipelines, AI-BOM for submissions, and a CRO oversight posture that holds up under inspection.