AI Security Architecture Services
Your AI pipeline shipped fast. The security architecture did not ship with it. When an LLM feature reaches production with no threat model and no regulatory controls mapped, the gap is already live. Kodexo Labs designs the missing layer: zero-trust AI pipelines, mapped controls, and threat models that hold up.
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TRUSTED BY ENTERPRISES
We architect security for AI and LLM systems from design through deployment. The controls get engineered before sprint one. That way you are not retrofitting protection after the model has already reached your users.
Our Core Capabilities
STRIDE threat modelling mapped to your actual AI attack surface, so nothing gets missed because nobody looked.
Zero-trust pipeline design with isolation between every tenant, so a breach in one account never reaches another's data.
Regulatory control mapping for HIPAA, GDPR, SOC 2, and PCI-DSS, so your next audit has answers instead of gaps.
Secure data pipeline engineering with encryption at every hop, so intercepted data stays unreadable.
LLM penetration testing that probes real prompt-level weaknesses, so you find them before an attacker does.
Compliance-ready architecture documentation your auditors can actually follow.
IN THE NEWS
Expert team
Client retention rate
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AI Security Architecture Capabilities and Services
Every AI system has a threat surface most teams never map. We cover the five areas that decide whether your model stays yours: threat modelling, zero-trust design, regulatory mapping, secure pipelines, and penetration testing.
Threat Modelling
Skip this and you find the holes after an attacker does. We run STRIDE analysis across your AI system and map the full attack surface, from user prompts down to model weights.
We test how your model behaves when users hide instructions inside ordinary-looking input.
We close the gaps that let attackers reconstruct your training data from outputs.
Shipped an AI Pipeline Without a Threat Model?
Map where your AI is exposed before an attacker does it for you. One session, while the fix still costs a sprint.
Real Systems, Real Regulatory Pressure, Real Numbers
SmartMedHx
SmartMedHx clinicians were losing an hour a day to note-taking, so time with patients kept shrinking. We built a documentation intake process that captures the patient interview and writes the note itself, HIPAA-architected from the first line. Today 42+ providers document visits without typing, across 493 patient interviews. The AI behind it is patent-pending.
42+
Providers
493
Patient Interviews
HIPAA
Compliant
Therapy Talk
Mental-health conversations demand privacy that survives an EU audit, not just a privacy policy. We built the platform with GDPR architected in from day one, so protection was structural rather than promised. It now supports 1,923 active users at 93% response accuracy.
1,923
Users
93%
Accuracy
GDPR
Compliant
Diesel Laptops
Diesel Laptops' technicians lost more time searching records than fixing trucks, and every lookup left a truck sitting idle. We built an agentic search process, self-hosted inside the client's own AWS VPC, that finds the right answer across 160,000+ records in seconds. Search time dropped 85%. This Inc. 5000 fleet keeps its data in-house.
85%
Faster Lookup
160,000
Records Searched
AWS VPC
Self-Hosted
What Clients Say About The Team
Fast-growing organisations do not applaud a consulting partner for polished slide presentations; they praise it for showing up when something actually breaks. The notes below come from founders who watched Kodexo Labs work the problem in real time.
Kodexo Labs has met all expectations; the team delivers on time and manages the project seamlessly. They respond promptly to needs and communicate effectively through virtual meetings, Google Chat, and WhatsApp. Overall, they're highly passionate about the project and excel in customer service.
Christopher Brigham
MD President, Brigham and Associates, Inc.
WATCH VIDEO
- HIPAA-compliant documentationPatient data encryptionProven on SmartMedHx
Industries We Secure with AI Architecture
Security architecture looks different in every market. We have shipped AI products across healthcare, legal, logistics, automotive, retail, education, and real estate. Each one carries its own rules, data risks, and audit expectations. Here is how we secure them.
What Happens If Your AI Ships Without a Security Layer?
One overlooked endpoint or unencrypted data flow can trigger a breach, a failed audit, and lost customer trust. We find those gaps first,
Compliance Built Into Every Full Stack Build We Ship
Regulated data cannot wait for a security review at the end. Our full stack developers architect HIPAA, SOC 2, GDPR, and PCI-DSS requirements into the build from day one, with NDA and IP assignment signed upfront, so your data stays in your AWS VPC.
HIPAA
SOC 2 Type II
GDPR
CCPA
PCI-DSS
ISO 27001
OWASP
EU AI Act
NIST AI RMF
COPPA
HIPAA
SOC 2 Type II
GDPR
CCPA
PCI-DSS
ISO 27001
OWASP
EU AI Act
NIST AI RMF
COPPA
What Sets Our AI Security Work Apart
Plenty of teams can build an AI feature. Fewer can build one that passes a HIPAA audit, a SOC 2 review, and a penetration test. Here is what sets our security work apart.
HIPAA Compliance Designed In
Bolt HIPAA on late and you rebuild under audit pressure. We built SmartMedHx's architecture to HIPAA rules from day one, not as a retrofit. The result is patent-pending, with audit trails baked in.
Zero-Trust Pipelines by Default
Share a database across tenants and one hacked account exposes every user. On Therapy Talk we authenticated and encrypted each data flow to meet GDPR by design. Per-tenant keys keep each chat apart.
Threat Modelling Before Code
Find a flaw after launch and the fix means rebuilding live systems. Before any code, we run a full STRIDE threat-model session in Phase 1, mapping attack points into a shared risk register.
One Design, Four Frameworks
Most teams treat each rule as a separate project. We design for HIPAA, GDPR, PCI-DSS, and ISO 27001 in one session, so one engagement covers several compliance surfaces and saves months of rework.
Your AI Feature Is a Door With No Lock
Attacks on LLM products are already catalogued and automated. We pressure-test your pipeline before launch, not after the disclosure notice.
Recognized for AI Security Excellence
Our security and AI work has earned recognition from independent review platforms. These rankings come from verified client feedback and vetted project history, not paid placements or self-reported claims.
Overcoming AI Security Architecture Challenges
Most security problems in AI products are not exotic. They come from four predictable gaps: compliance treated as separate projects, model features shipped without adversarial testing, data handed to infrastructure you cannot see, and credentials left sitting in plain text. Here is how we close each one.
The Security Stack Behind Every Build
These are the production tools we build on, not names on a slide. Each one is running in live client systems today, doing real work under real load.
Our AI Security Architecture Process
Discovery & Threat Modelling
We run a STRIDE analysis across your system, map every attack surface where data enters or leaves, and hand you a risk register that ranks each threat so the highest-impact work gets scheduled first.
Regulatory Mapping & Control Design
We build control matrices for HIPAA, GDPR, SOC2, and PCI-DSS in one pass. Each requirement maps to a concrete control, so a single design covers every framework your product has to answer to.
Zero-Trust Architecture Build
We isolate workloads inside a private cloud network, enforce mutual TLS so both sides of every connection prove who they are, and issue per-tenant encryption keys so no customer's data touches another's.
Secure Pipeline Implementation
We build the data pipeline with tokenisation and anonymisation, stripping sensitive fields before they ever reach the model. Audit logging records every access after that, so nothing happens off the books.
Penetration Testing & Launch
We run LLM red-teaming against the finished build, walk you through a sign-off review of what we found and fixed, then leave monitoring in place so new threats get caught after launch, not months later.
AI Security Insights Worth Reading Before You Start
How the Future of AI Agents Will Power Businesses and Industries
October 2025 · By Kodexo Labs
Discover how AI agents are transforming business operations and industries in 2025 through autonomous decision-making, enhanced customer experiences, and optimized workflows. This guide explores agentic AI applications, implementation strategies, and industry-specific impacts for finance, healthcare, manufacturing, and retail.
AI in Adaptive Learning: Benefits, Challenges, and Best Practices for 2024
November 2024 · By Kodexo Labs
A practical guide to AI in adaptive learning, covering benefits, challenges, platforms, ROI, and best practices for personalized education in 2024.
Reactive vs. Proactive AI Agents: What’s the Difference?
August 2025 · By Kodexo Labs
Explore the differences between reactive and proactive AI agents, their decision-making processes, business applications, and implementation strategies. Learn how reactive AI excels in real-time responses (e.g., customer service chatbots) and proactive AI drives long-term value through predictive analytics (e.g., predictive maintenance), with hybrid approaches delivering 40% better performance.
AI Security Architecture Services: Frequently Asked Questions
AI security architecture is the design work that decides how an AI system stores data, controls access, and defends against attacks before any code ships. Kodexo Labs treats it as a foundation rather than a patch, mapping threats, compliance controls, and network isolation into one plan so security is built into the product instead of bolted on after a problem appears.