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The audit trail exists before you need it.

Scoped permissions, full audit trails, and SOC 2 / HIPAA / PCI-aligned delivery — so AI access to real systems survives a security review, not just a demo.

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Why it works

AI that can act on your systems is a new access surface, and most 'AI security' advice stops at the model. We engineer the layer around it: least-privilege service identities, data-boundary controls for what can leave a system and what must stay, full audit logs of every AI action, and delivery aligned to SOC 2, HIPAA, and PCI DSS depending on your sector. This is the same discipline our Rescue and Integration engagements already lean on — available on its own for teams that need the security review passed before anything else ships.

150+Branches on one platformConcordia Colleges
AI Security & Compliance Engineering
In practice

Not a feature list. A Tuesday morning.

Here's what each of these actually looks like once it's running against your real workflows — not the pitch, the mechanism.

01

Least-privilege service identities & scoped permissions

The agent that processes refunds gets exactly the permissions needed to process refunds — nothing that would let a bug, or a prompt injection, reach payroll or customer records.

02

Full audit trails for every AI-initiated action

When a customer asks why their account was flagged, the answer is a timestamped log entry, not a shrug — every AI-initiated action is attributable, replayable, and defensible.

03

Data-boundary controls: what can leave, what must stay

The AI can read a customer's SSN to verify identity, but the model provider never sees it — the boundary is enforced in the architecture, not left to a policy document nobody checks.

04

SOC 2 / HIPAA / PCI DSS-aligned delivery

When an enterprise customer's security team sends their annual questionnaire, the evidence they're asking for already exists — built in from day one, not assembled the week before the audit.

What you get

Concrete, not conceptual.

Every engagement under this capability produces the same kind of artifact — reviewed weekly, owned by you from day one.

01Access-control & permission model for AI systems
02Audit logging wired into every AI action
03Data-boundary policy: egress rules & retention
04Compliance-aligned delivery documentation (SOC 2 / HIPAA / PCI DSS)
05Security review readiness pack
Talk it through

See what security & compliance would look like in your stack.

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How we run it

The path to production.

01

Map

What the AI needs to touch, what it doesn't, and who's accountable for each system it reaches.

02

Scope permissions

Least-privilege service identities — access is granted, never assumed.

03

Instrument

Audit logging and data-boundary controls wired in before the AI goes live, not after an incident.

04

Align

Delivery documentation mapped to the standard your sector actually requires.

Tooling

How the stack orchestrates.

Chosen per engagement, never the other way around — this is how the pieces actually connect around the system we're building.

Security & Compliance
OAuth / OIDC
Model Context Protocol
Terraform
AWS / Azure / GCP IAM
SIEM & audit tooling
Questions

Asked on every first call.

We engineer delivery to SOC 2-aligned standards and prepare the evidence a certification audit asks for; the certification itself is issued by an accredited third-party auditor, not us. Most clients pair this with their compliance counsel for the final audit.

Yes, with the right boundary controls — least-privilege access, logged actions, and explicit rules for what data can leave a system. We treat AI access with the same discipline as human access, not a special exception.

No — any AI system that touches your CRM, ERP, or customer data benefits from scoped access and an audit trail. Regulated sectors just make the requirement explicit sooner.

Let's put AI to work in your business.

A 30-minute call. You bring the workflow or the roadmap — we'll tell you what's feasible, what it costs, and what we'd build first.

Book a call