Security by Design
Security requirements are considered during discovery, architecture, development, deployment, and handover—not added as a final checklist.
Security · Privacy · Compliance
Enterprise AI security,by design.
Identity, application code, data, cloud, LLMs, and production operations — designed as one trust boundary, not a checklist at launch.
Secure SDLCLLM GuardrailsClient CloudLeast PrivilegeEncryption
Trust architecture
Security is not a badge. It is how the system is built.
We treat security as an engineering responsibility across software, cloud, integrations, and AI—not as a decorative compliance section added after launch.
Least-Privilege Access
Access to repositories, infrastructure, production systems, and client data can be scoped according to role and project need.
Data Protection
We design data flows to support encryption, environment separation, retention controls, secrets management, and data minimization.
Private Deployment Options
Solutions can be designed for client-controlled cloud accounts, private networking, isolated infrastructure, or managed environments.
AI & LLM Guardrails
AI systems can include prompt controls, RAG authorization, tool restrictions, auditability, provider-specific data settings, and human approval.
Clear Ownership
Project agreements can clearly define confidentiality, deliverables, IP ownership, third-party components, and data-processing responsibilities.
Data protection
Protect the data path, not just the database.
Security decisions should cover where data originates, where it travels, who can access it, where it is stored, what is logged, how long it is retained, and how it is removed.
Protected Core
Identity · Data · AI
Users
Cloud
APIs
AI Models
Data
Team
Encryption in transit
Protect data moving between users, applications, APIs, services, and cloud infrastructure using modern transport security.
Encryption at rest
Use platform-appropriate encryption for databases, storage, backups, and secrets where the project architecture requires it.
Secrets management
Keep credentials, tokens, signing keys, and environment secrets out of source code and controlled through secure stores.
Environment separation
Separate development, staging, and production environments to reduce accidental exposure and operational risk.
Data minimization
Design systems to collect, store, log, and send only the information needed for the intended workflow.
Retention & deletion
Support project-specific retention, archival, deletion, and account offboarding requirements when defined in scope.
AI & LLM security
Keep business data inside a controlled AI boundary.
We design AI systems around explicit data boundaries, model-provider settings, retrieval permissions, tool authorization, and auditability so AI features can be useful without becoming a new uncontrolled data path.
THE TISA can design solutions to avoid intentionally using client data for model training. Actual retention and training behavior also depends on the selected provider, plan, deployment model, and contractual configuration.
01
Customer data isolation
02
Provider-specific retention settings
03
Prompt and context minimization
04
PII / sensitive-field redaction where appropriate
05
RAG document-level authorization
06
Vector database access isolation
07
Prompt-injection and tool-abuse defenses
08
API / tool authorization boundaries
09
Audit logging for sensitive actions
10
Human approval for high-impact workflows
Secure SDLC
Security from discovery to production.
The strongest controls are the ones designed into the delivery process before architecture, code, infrastructure, and integrations become expensive to change.
01 / 07Discovery0% complete
Identity & access management
Identity should be explicit, access should be scoped, and sensitive actions should be attributable. Controls are selected according to the application's risk, users, deployment model, and client environment.
RBACMFASSOOAuth 2.0OpenID ConnectSession ControlsAudit LogsLeast Privilege
Cloud & infrastructure security
We can support client-controlled cloud, private-network patterns, isolated environments, or managed deployments—without forcing every product into the same infrastructure model.
Client Cloud
Deploy into your AWS, Azure, or GCP environment when required.
Private Setup
Support private networking and isolated infrastructure patterns.
Managed
Operate agreed infrastructure with defined ownership and access boundaries.
Compliance readiness
Build for the requirements you actually have. No certification theatre.
Compliance depends on the organization, data, industry, contracts, system role, and applicable law. THE TISA focuses on building controls and evidence-friendly architectures that support the requirements defined for the engagement.
Framework
Position
How we approach it
SOC 2
Control-aligned architecture
We can design systems around security, availability, confidentiality, access control, logging, change management, and evidence-friendly operational practices. This does not represent a claim that THE TISA holds a SOC 2 report unless explicitly stated in a signed document.
ISO/IEC 27001
Security best-practice alignment
Project processes and architectures can be structured around risk-based security controls and information-security management principles. Certification status should always be represented separately from technical alignment.
GDPR
Privacy-supporting architecture
For applicable projects, we can support data minimization, purpose limitation, access controls, retention requirements, processor obligations, and privacy-by-design implementation needs.
CCPA / CPRA
California privacy support
Applications can be designed to support relevant privacy requests, data inventory, disclosure workflows, deletion, access, and processor/service-provider requirements where applicable.
HIPAA
Healthcare security support
For applicable healthcare workloads, architecture can be designed around protected-data handling, access control, auditability, encryption, and deployment requirements. Regulatory applicability and BAA requirements must be validated for the specific engagement.
OWASP
Secure engineering guidance
We use OWASP application and AI security guidance as useful engineering references for common web, API, authorization, input, dependency, and LLM-specific risk patterns.
NIST AI RMF
AI risk-management reference
AI projects can incorporate governance, risk identification, evaluation, monitoring, human oversight, and documented controls based on the needs of the system.
Important: Website language should not be interpreted as a legal opinion, certification, audit report, or guarantee of regulatory compliance. Formal status and project-specific obligations should be confirmed in the applicable contract, security documentation, or third-party attestation.
NDA & confidentiality
Confidentiality requirements can be addressed before detailed technical discovery when an NDA is required by the engagement.
DPA & privacy terms
Where THE TISA processes personal information on a client's behalf, appropriate data-processing responsibilities can be documented contractually.
IP & source ownership
Project agreements can define ownership of custom deliverables while clearly separating pre-existing tools, open-source software, and third-party components.
Client environment
Controlled access to your systems.
External engineering should not mean uncontrolled access. Access can be provisioned around project needs, client-owned accounts, scoped permissions, and clear offboarding.
Client-owned cloud and SaaS accounts where appropriate
Named users instead of shared credentials
Role-scoped repository and infrastructure access
Separate production permissions
Credential and secret rotation during handover
Access revocation when team members roll off
1
Client Environment
Your cloud, SaaS, repository, database, or internal system.
2
Approved Team
Only team members who need access for the defined responsibility.
3
Least Privilege
Permissions limited to the smallest practical scope.
4
Logging & Review
Access and sensitive actions logged where the platform supports it.
5
Revocation
Permissions removed or rotated during handover and offboarding.
Secure handover
Your system should remain yours after launch.
Good security includes an exit path. Handover can include code, documentation, environments, operational knowledge, credentials, and access cleanup so the client is not dependent on hidden vendor access.
Repository ownership & transfer
Deployment documentation
Infrastructure handover
Environment variable inventory
Credential rotation
Access removal
Operational runbooks
Knowledge transfer
Procurement questions,
answered clearly
Clear answers on certification claims, client-cloud deployment, AI data use, NDAs, IP ownership, and production access — the questions technical buyers and procurement teams ask before they engage.
This page intentionally distinguishes between designing SOC 2-aligned controls and holding a formal SOC 2 report. If a project requires a specific certification, attestation, audit report, or vendor-security artifact, confirm the current status with THE TISA during procurement.
Have security or compliance requirements?
Tell us about your infrastructure, data sensitivity, regulatory obligations, AI providers, and preferred deployment model. We will account for them during architecture—not after development.