Cyber and AI security posture reviews for SaaS and B2B teams preparing for customer diligence. Start with a fixed-scope Assessment Sprint and a prioritized remediation plan.
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The world doesn’t operate in silos.
Neither should your intelligence.
A fixed-scope cyber and AI security posture review for SaaS teams shipping AI features and B2B vendors preparing for security diligence.
Typically about one week. Scope, timing and commercial terms are agreed before the review begins.
The sprint does not include a certification audit, a custom platform build or unlimited advisory hours.
Start with the systems your decisions depend on. Define the information to connect, the infrastructure to retain and the points where action requires explicit authority.
Choose the records, documents and events required to answer one operational question. Define freshness and provenance before ingestion.
SQL · Warehouses · Documents · Object storage · Events · Streams · Files · Vector data · Telemetry · Reference data · Logs · Time series
Establish where transformations and evaluations may run. Capacity, latency and data movement are design decisions to validate.
Batch · Queries · Functions · Containers · Pipelines · Queues · Schedulers · CPU · GPU · Analytics · Transforms · Workers
Compare the task, permitted inputs, quality threshold and fallback. Evaluate model choices against those requirements.
Forecasts · Classifiers · Language models · Embeddings · Rules · Optimizers · Scoring · Anomaly models · Evaluations · Retrieval · Model endpoints · Human review
Identify where people plan, investigate and approve work. Any write-back needs a scoped interface and an acknowledgement.
ERP · CRM · Service desk · Maintenance · Planning · Inventory · Work orders · Dashboards · Internal tools · APIs · Notifications · Approvals
Review residency, networking, identity and operating ownership. Use these boundaries to evaluate a deployment design.
Cloud · Private network · Edge · On premises · Regions · Identity · Observability · Secrets · Storage · Networks · Recovery · Release process
Start with the interfaces, permissions and ownership required for your workflow.
Follow one late shipment from the first alert to a reviewed response.
Shipment BG-247 is running six hours late. The carrier update is useful because its source, time and owner travel with it.
Observed: Arrival changed · ETA +6h · Source: Carrier status feed · 09:20 UTC
The shipment is connected to an order, limited stock, a receiving window and a customer promise. A stale schedule stays visible for review.
Connected: Order → stock → receiving → customer · Freshness: Receiving window is stale
A logistics coordinator compares feasible responses and approves one. The instruction needs an acknowledgement; the actual arrival becomes evidence for the next decision.
Authority: Logistics coordinator · Closed when: Action acknowledged · result observed
A delayed arrival is only the beginning. See how its consequences become visible, a person chooses a response, and the result comes back.
A revised arrival time puts a scheduled delivery at risk. The alert is a starting point, not a recommendation.
Connect the shipment to its order, receiving window and available stock. Flag any missing or outdated source before evaluating a response.
In this scenario, holding the order or using another route are the options. Compare delivery commitments, capacity and cost; expose unknowns.
Compare the evidence and constraints before selecting a response. A model suggestion does not authorize an operational change.
An approved instruction needs to reach its owner and receive an acknowledgement. Keep failed or incomplete requests visible for follow-up.
Compare the eventual delivery with the plan. Keep the decision and its outcome together; learning requires review, not an assumption that every action succeeded.
This is an illustrative workflow. No live instruction is sent.
04 / The platform
Four design perspectives: Data, Intelligence, Operations and Deployment.
Bring fragmented systems into a shared operational context.
Connect the information your teams depend on. Preserve its provenance, define meaningful relationships, and make it available within clear access boundaries.
Turn connected information into informed next steps.
Place models and analytical reasoning alongside governed data. Give teams the context to evaluate a recommendation, investigate uncertainty, and exercise judgment.
Close the distance between an insight and a decision.
Bring information, decisions, and actions into one working context. Coordinate responses across teams while keeping ownership and approval boundaries explicit.
Keep the operational picture clear as conditions change.
Design deployments around real operating constraints. Make system health visible and plan change with clear controls and recovery paths.
05 / Capabilities
07 / From information to action
Intelligence is only useful when it connects to the way your organization works.
Start with the operational systems, documents, and events that hold the evidence.
Select a layer to explore
Before connecting a source or enabling an action, define who can see the information, who can change it and how a decision will be reviewed.
Define the identities and roles that need access to each source, record and model input. Test both permitted access and denied requests.
Identify which changes require approval and who can authorize them. Define how actions are scoped, acknowledged, retried and stopped.
Connect source information, evaluation, operator decisions and system responses. Set requirements for retention and inspection.
Make the next decision a clearer one
