05 / Protection
We secure your perimeter like it holds your most valuable asset, because it does. Zero-trust architecture, penetration testing, compliance auditing and incident response, plus the hardening we ship in every build: AES-256-GCM at rest, OAuth with PKCE, row-level security.
AES-256
GCM encryption at rest
Layered
Prompt-injection defences on every agent
0
Client-side key exposure
AES-256
GCM encryption at rest
Layered
Prompt-injection defences on every agent
0
Client-side key exposure
What we deliver
Concrete outputs, not a slide deck.
01
Zero-trust architecture
Every request authenticated, every role scoped. Row-level security enforced at the database.
02
Penetration testing
Application and infrastructure testing with a prioritised findings report and remediation plan.
03
Compliance auditing
Audit trails on every transaction, access reviews, and readiness for SOC 2-style controls.
04
Encryption and auth
Server-side AES-256-GCM token encryption, OAuth 2.0 with PKCE, secrets management. We replaced a browser-side E2EE model with this in production.
05
AI safety hardening
Prompt-injection safeguards, ORM-safe query execution and role gating on every LLM feature we ship.
06
Incident response
A runbook, a contact and a response window. Not a scramble.
How it runs
What you can expect.
- Zero-trust architecture
- Penetration testing
- Compliance auditing
- Incident response
- Encryption and auth hardening
Stack we reach for
Related work
Where we have done this before.

5
AI providers unified
3
Scan cadences: 5-min, 2-hr, daily
Email Intelligence SaaS Platform
Turning a Gmail inbox into structured, actionable events — at scale, without leaking a single token.
The hard part: Five AI providers behind one registry, structured outputs schema-checked before anything downstream trusts them.
LLM pipeline that classifies Gmail into structured life events with Zod-validated outputs. Five AI providers behind one gateway, AES-256-GCM token storage, three-tier monetisation.
- 5 AI providers unified
- SaaS startup
- Australia
Read case study

NL→SQL
Plain English to live data
100%
Prompt-injection hardened
Conversational AI Agent for Live ERP Data
Every business question needed a developer, and answers arrived days late.
The hard part: Letting non-technical staff query live ERP data without ever giving the model database access.
A natural-language interface over live ERP data. Non-technical staff ask plain-English questions and get ORM-safe, role-gated answers in seconds.
- Claude MCP over live ERP
- Enterprise ERP client
- Shipped 2025
Read case study

0
Manual steps in the credit lifecycle
100%
Audit trail coverage
Line of Credit Lending Platform
A lending book run out of spreadsheets, where one person understood the formulas.
The hard part: Removing every manual step from a credit lifecycle while keeping a complete audit trail on each state change.
Full lending lifecycle built from scratch: Plaid bank verification, Stripe disbursements and repayments, multi-location credit rules, automated statements and interest.
- 2 payment rails
- Lending enterprise
- Shipped 2024
Read case study
FAQ
Questions about security.
Book a 45-minute call with our architects. We map your current stack, find the three biggest bottlenecks and estimate the ROI of fixing them. You get a written summary within 24 hours. No pitch, no commitment.
We sign NDAs before the diagnostic if you need one. Your data stays in your environment. Encryption at rest, scoped access and audit trails are defaults, not add-ons, and we never use your data to train shared models.
Every AI feature we ship is grounded in your data through retrieval, constrained by schemas, and gated by roles. Low-confidence outputs route to a human. We measure accuracy on your data before launch and monitor it after.
Founder-led. Jaimin Shah scopes and architects every engagement and stays on the account. No offshore handoffs, no juniors on your project. Senior engineers end to end.
Next
Brand & DesignNext step
Your competitors are already automating.
A free 45-minute diagnostic. We map your biggest bottleneck, estimate the ROI, and tell you honestly whether AI belongs there. No pitch deck.
Straight to the engineer. No form, no gatekeeper.
Accepting new engagements · Q4 2026