Own the intelligence
AI data security on AWS
Use AI with customer data without a compliance headache: architecture, controls and audit trail done properly.
What we do
Marketing teams adopt AI faster than security teams can review it. We design the guardrails so adoption is safe: data classification, PII redaction before model calls, network isolation, key management, access control, logging and the policies that go with them, built on AWS services your IT team already understands.
What you get
- AI data-flow and risk assessment
- Reference architecture on AWS (VPC, KMS, IAM, GuardDuty, CloudTrail)
- PII redaction and retention controls in the pipeline
- Policy pack: acceptable use, vendor review, incident response
Research and answers on this topic
What is private AI for business, and when does a marketing team need it?
Private AI for business means running AI models on infrastructure your company controls. Here is when a marketing team needs it, and what it costs.
ChatGPT Business vs Enterprise for an ecommerce brand: price, privacy and data residency
ChatGPT Business costs $20 to $125 a seat; Enterprise is quoted. What differs on privacy, OpenAI access, residency and admin, and when a brand needs Enterprise.
Private AI consulting for ecommerce: what the engagement looks like
Private AI consulting for ecommerce: the four stages of an engagement, how long each takes, why most pilots stall and what to prepare before the first call.
Private AI implementation partner for a DTC brand: what to ask
Private AI partner for a DTC brand: five questions on where customer data is copied, who can see it, logging, training and deletion requests.
Is ChatGPT Enterprise private enough for customer data?
ChatGPT Enterprise does not train on your data, but OpenAI still stores and can access it. When it is enough for customer data, and how Business differs.
Related work
- Read the story
Back-office automation for a UK financial services firm
- −33%
- operating cost
- 51%
- faster processing
- −40%
- audit errors
Common questions
- Is it safe to send customer data to AI models?
- It can be, with the right controls: redact or tokenise PII before the call, use providers with zero-retention agreements or host the model privately, and log every request. We implement all three.
- Do you work with our existing security team?
- Yes. We produce the architecture, evidence and documentation your security and compliance teams need, and we work inside the controls they already have on AWS.
- Which regulations do you design for?
- GDPR and UK GDPR, CCPA/CPRA, and the data-handling clauses in enterprise retail and marketplace agreements. We are not auditors, but we build so your auditors are satisfied.
- Can this be done as a stand-alone engagement?
- Yes. Many clients start with a security review of AI already in use, then move to automation or data engineering once the guardrails are in place.
Talk to us about your stack
A 30-minute discovery call with our founder. We will tell you honestly whether an engagement makes sense and where the first return would come from.