Security

Enterprise-Grade Security. Every Workflow. Every Time.

AI workflows touch your most sensitive data — customer records, financial transactions, internal communications, proprietary business logic. We don't treat security as a feature. We treat it as architecture. Every workflow we build is designed with defense-in-depth security, strict data governance, and compliance alignment from day one.

Discuss Your Security Requirements

Three Principles That Govern Everything We Build

Your Data Never Leaves Your Control

We don't store your data on our systems. We don't use your data to train models. We don't commingle client data. Every workflow operates within your infrastructure or in isolated, single-tenant environments that you control.

Humans Stay in the Loop

AI handles volume and pattern recognition. Humans handle judgment. Every workflow we build includes human review at critical decision points — because "fully autonomous" and "enterprise-grade" don't belong in the same sentence. Not yet.

If We Can't Secure It, We Don't Build It

Some workflows aren't ready for AI — because the data isn't structured, the compliance landscape is too uncertain, or the risk profile doesn't justify it. We'll tell you that. We'd rather turn down a project than ship something we can't secure.

Defense in Depth — Six Layers of Protection

We don't rely on a single security control. Every workflow is protected by multiple, independent layers — so a failure in any one layer doesn't compromise the system.

TLS 1.3 for all data in transit
AES-256 encryption for all data at rest
Encrypted data pipelines between integrated systems
No plaintext data storage at any point in the workflow
Encryption keys managed through your infrastructure or dedicated key management services
Role-based access control (RBAC) for every workflow component
Principle of least privilege — users and systems only access what they need
Multi-factor authentication enforced for all administrative access
Service accounts use short-lived tokens with automatic rotation
Session management with configurable timeout policies
Every action, decision, and data access logged with timestamps and user attribution
Immutable audit logs that cannot be altered or deleted
Exportable, searchable records for compliance and investigation
Real-time alerting on anomalous activity
Log retention policies aligned with your compliance requirements
Single-tenant architecture — your data is never commingled with other clients
Network-level isolation between client environments
Dedicated compute resources for each client workflow
No shared databases, no shared storage, no shared processing
Support for on-premises and private cloud deployment
Your business data is never used to train or fine-tune AI models
Prompt injection protection and input validation on all AI interactions
Output filtering and PII redaction before any data leaves the workflow
Model versioning and rollback capability for all deployed AI components
Regular adversarial testing aligned with OWASP LLM Top 10 and MITRE ATLAS
Real-time monitoring of all workflow components for performance and security
Automated anomaly detection for unusual data access or processing patterns
Defined incident response procedures with documented escalation paths
Vulnerability scanning and patch management for all infrastructure
Regular security reviews and architecture assessments

How We Handle Your Data

Clear rules. No ambiguity. Here's exactly what happens to your data at every stage of an engagement.

During Discovery & Assessment

We review workflows and interview stakeholders. Any data we access during discovery stays within your systems. We don't extract, copy, or transfer your data to our infrastructure. Discovery artifacts (notes, diagrams, findings) are stored in encrypted, access-controlled environments and shared only with authorized stakeholders.

During Development & Testing

We use synthetic data, anonymized datasets, or sandboxed copies of your data within your infrastructure for development and testing. Production data is never used in development environments. If anonymized data is required, we follow documented de-identification procedures and obtain your approval before proceeding.

In Production

Workflows process your data within your infrastructure or in isolated, single-tenant environments. Data flows through encrypted pipelines with access controls at every step. No raw data is stored outside your authorized systems. Processed outputs are routed back to your systems — we don't maintain copies.

With AI Models

Your data is never used to train, fine-tune, or improve AI models — ours or anyone else's. We configure all third-party AI providers (OpenAI, Anthropic, Google, etc.) with zero data retention settings. API calls to AI models are encrypted, logged, and subject to output filtering before results enter your systems.

At Engagement End

When an engagement ends, we follow a documented offboarding procedure: all access credentials are revoked, all client data in our possession is permanently deleted, and we provide written confirmation of data destruction. You retain full ownership of all workflow code, configurations, and documentation we created.

Aligned with the Frameworks That Matter

We architect every workflow to align with established security and compliance frameworks. This means your AI implementations are built to meet your compliance requirements from day one — not retrofitted after the fact.

NIST AI RMF

Our assessment and implementation methodology is aligned with NIST AI RMF — the leading U.S. government framework for managing AI risk. We apply its Govern, Map, Measure, and Manage functions across every engagement.

SOC 2 Controls

Every workflow we build is architected to satisfy SOC 2 trust service criteria: security, availability, processing integrity, confidentiality, and privacy. Our infrastructure controls, access management, and audit logging are designed against SOC 2 requirements.

OWASP LLM Top 10

We test every AI workflow against the OWASP LLM Top 10 — the industry standard for large language model security risks including prompt injection, data leakage, and insecure output handling. This testing is standard, not optional.

MITRE ATLAS

We use the MITRE ATLAS framework for adversarial threat modeling of AI systems — the same framework used by government agencies and Fortune 500 security teams to evaluate AI-specific attack vectors.

GDPR / Data Privacy

For clients with EU data exposure, we architect workflows to satisfy GDPR requirements: data minimization, purpose limitation, right to erasure, and documented processing agreements. Privacy by design is built into our architecture, not bolted on.

HIPAA

For healthcare and health-adjacent clients, we design workflows that satisfy HIPAA technical safeguards: access controls, audit controls, transmission security, and encryption standards. We support BAA requirements and can deploy within HIPAA-eligible infrastructure.

What We Won't Do

Trust is built by what you refuse to do, not just what you promise to do.

We will never use your data to train AI models.

Your business data is processed, not learned from. Zero data retention is configured on all third-party AI provider APIs.

We will never commingle your data with another client's.

Single-tenant architecture means your data is physically and logically isolated. No shared databases, storage, or compute.

We will never deploy a workflow without human oversight.

Every workflow includes human-in-the-loop checkpoints at critical decision points. Full automation without human review is not something we offer.

We will never retain your data after an engagement ends.

Documented offboarding includes credential revocation, data deletion, and written confirmation of destruction.

We will never downplay a security concern to close a deal.

If a workflow can't be secured to our standards, we'll tell you — even if it means losing the project. We've done it before.

How Security Shows Up in Every Engagement

Security isn't a phase of the project. It's present in every phase.

Assessment & Discovery

We evaluate your security posture, compliance requirements, and data sensitivity as part of every assessment. Your AI Opportunity Report includes a security and compliance section with specific recommendations for each workflow.

Architecture & Design

Before writing any code, we document the security architecture: data flows, encryption points, access controls, API configurations, and compliance requirements. You review and approve this architecture before development begins.

Development & Testing

Security controls are built into every workflow from the first line of code — not added at the end. We conduct adversarial testing against OWASP LLM Top 10 risks, validate input/output handling, and test access controls before any workflow touches production data.

Production & Ongoing

Continuous monitoring, regular security reviews, and vulnerability management are standard for all production workflows. For retainer clients, we conduct monthly security assessments and keep infrastructure current with the latest patches and model security updates.

Security Questions We Get Asked

No. We configure all AI providers with zero data retention settings. Your data is processed and returned — never stored, learned from, or used to improve any model. This is non-negotiable and contractually guaranteed.
Your data flows through encrypted pipelines to the AI provider's API, is processed, and the result is returned to your systems. We configure zero data retention on the provider side, and no raw data is stored outside your authorized infrastructure at any point.
Yes. We support on-premises deployment, private cloud deployment, and hybrid configurations. For clients with strict data residency or compliance requirements, we can build and deploy entirely within your infrastructure.
We architect workflows to satisfy the specific compliance requirements relevant to your industry and geography. During discovery, we identify all applicable regulations and design security controls to address them. For HIPAA, we support BAA requirements. For GDPR, we implement data minimization, purpose limitation, and documented processing agreements.
We follow a documented offboarding procedure: all access credentials are revoked, all client data in our possession is permanently deleted, and we provide written confirmation of data destruction. You retain full ownership of all code, configurations, and documentation.
We implement multi-layered protection: input validation and sanitization, prompt injection detection, output filtering and PII redaction, and regular adversarial testing aligned with OWASP LLM Top 10 and MITRE ATLAS frameworks. Human-in-the-loop checkpoints provide an additional layer of protection at critical decision points.
Every workflow we build is architected to satisfy SOC 2 trust service criteria — security, availability, processing integrity, confidentiality, and privacy. We welcome independent security reviews and will share our controls documentation with prospective clients upon request.
Yes. We'll share our security architecture documentation, controls framework, and data handling procedures with prospective clients under NDA. We believe transparency about our security practices is a prerequisite for trust.

Have Security or Compliance Requirements? Let's Talk.

Book a call and we'll walk through your specific requirements — HIPAA, SOC 2, GDPR, or otherwise — and show you exactly how we architect for them.

Discuss Your Requirements