Enterprise artificial intelligence cannot be secured through ad-hoc consulting or generalized IT audits. Securing probabilistic models for high-liability sectors requires the disciplined, sequential execution of adversarial stress-testing, regulatory alignment, governance design, and architectural fortification. GridBase operates under a “Zero Assumption” mandate: it does not trust internal safety filters; it verifies them.
Every engagement follows a fixed progression of four asynchronous cycles. Each capability maps to one cycle, and every engagement commences at ASSESS — no cycle is entered out of sequence.
ASSESS Cycle
Enterprise AI cannot be defended against attacks it has never been measured against. The ASSESS Cycle is a 7-day asynchronous engagement — the mandatory entry point to every GridBase engagement — that stress-tests a target architecture through Adversarial Risk Assessment and quantifies its exposure.
Threat Modeling and Surface Mapping
GridBase ingests the client’s architectural documentation and scoped access through the secure asynchronous channel, then maps the system’s threat surface — data ingestion points, third-party API dependencies, and model access layers — against the OWASP Top 10 for LLM Applications and MITRE ATLAS.
Adversarial Probing
The cycle runs industry-standard offensive tooling — Garak and PyRIT — across authorized endpoints, testing for prompt injection, jailbreak, and data exfiltration. Automated sweeps are extended with manual, multi-turn exploitation targeting RAG bypass, prompt leaking, and business-logic flaws that evade automated detection.
Triage and Mitigation Design
Findings are cleared of false positives and cross-referenced against the OWASP Top 10 for LLMs and MITRE ATLAS. GridBase designs the strategic mitigation pathways required to close each confirmed threat vector. Design is advisory; execution remains with the client’s engineering team.
Deliverable
The cycle concludes with the Adversarial Risk Report — a point-in-time advisory package quantifying the architecture’s risk posture against its adversarial attack surface, and flagging the regulatory exposure that the ALIGN Cycle formally maps.
ALIGN Cycle
Where ASSESS quantifies exposure, ALIGN gives that exposure regulatory meaning. Over a 14-day asynchronous cycle, GridBase performs Regulatory Gap Analysis, measuring the assessed architecture against the frameworks that govern its liability and designing the pathways required to close each deviation.
Framework Mapping
GridBase builds a control matrix from the regulations governing the client’s jurisdiction — the EU AI Act (Annex III), NIST AI RMF, and ISO 42001 — establishing the regulatory perimeter against which the architecture is measured.
Data Residency Review
Compute, network topology, and data flow are examined against jurisdictional residency obligations, with GDPR applied where regulated personal data is in scope. Egress paths are mapped to expose where regulated data leaves controlled boundaries.
Access and Identity Mapping
Identity configurations and role-based boundaries are measured against the control matrix, surfacing privilege paths that breach regulatory or contractual constraints.
Gap Analysis and Fortification Design
Deviations are consolidated into a formal gap analysis, and GridBase designs the strategic mitigation pathways required to bring the architecture into conformity. Design is advisory; execution remains with the client’s engineering team.
Deliverable
The cycle concludes with the Regulatory Gap Report — a point-in-time advisory package quantifying each regulatory deviation and the fortification pathway that closes it.
SHIELD Cycle
Exposure that has been measured and mapped must still be contained. The SHIELD Cycle is a 30-day asynchronous engagement that builds on the ASSESS and ALIGN findings to construct the Corporate Governance Framework required to bring an exposed system under control.
Governance and Policy Design
GridBase translates the established exposure into corporate policy — drafting the Acceptable Use Policy, risk-categorization standards, and human-in-the-loop controls required to mitigate Shadow AI and enforce defined risk parameters.
Defensive Architecture Design
GridBase designs the system-prompt architecture that resists roleplay override and logic drift, and the programmatic input/output filtering — PII masking and semantic routing — that fortifies the model boundary. Design is advisory; integration remains with the client’s engineering team.
Mitigation Validation
The fortified architecture is re-probed with the original adversarial vectors to quantify the mitigation delta, confirming which exposures the design has closed.
Deliverable
The cycle concludes with the Integrated Governance Dossier — a compiled governance package pairing the drafted policy, the defensive architecture design, and the validated mitigation evidence for use in external regulatory audit.
FORTRESS Cycle
Some architectures cannot tolerate any dependency on public model providers. The FORTRESS Cycle is a 60-day asynchronous engagement delivering Sovereign Architecture Advisory: the design of an isolated, self-hosted AI environment — air-gapped or VPC-contained — that keeps proprietary inference within the client’s jurisdiction.
Sovereign Blueprinting
GridBase designs the topology of the isolated environment: self-hosted open-weight model and vector-database selection matched to the client’s compute constraints, data-ingestion pipelines, and isolated execution boundaries that sever dependency on public APIs.
Access and Governance Design
GridBase designs the role-based access control that compartmentalizes internal data across the private RAG, and maps the planned architecture against ISO 42001 and the EU AI Act high-risk classifications.
Restrictive Prompt Design
GridBase designs the domain-specific, restrictive instruction set that constrains the selected open-weight model against hallucination and logic drift in an offline environment.
Deliverable
The cycle concludes with the Sovereign Architecture Blueprint — the complete structural design of the isolated environment. GridBase delivers the design; provisioning, hardware configuration, and integration remain with the client’s engineering team.
Rules of Engagement
GridBase operates on an asynchronous-by-default protocol; written exchange preserves an immutable audit trail and enforces the operational discipline every cycle depends on. For engagements involving architectural design and governance construction, scheduled synchronous briefings are provided where collaborative design synchronization is required.
GridBase is an agnostic advisor. It assesses, aligns, designs, and fortifies; it does not write production code, provision infrastructure, or resell compute. This separation removes any conflict of interest and keeps implementation — and its liability — with the client’s engineering team.
Every deliverable maps findings against objective frameworks, not subjective judgment. The decision to accept, defer, or remediate a documented risk resides with the client.
All deliverables are governed by the Snapshot Principle: each reflects the precise condition of the assessed architecture at the time of evaluation and carries no liability for subsequent model drift, code changes, or infrastructure modification. Binding scope and limits are defined in the Legal and Policy registries.
Engagements commence at ASSESS.