This Is How We Build.
Every Time.
Every XLeratorAI accelerator, ours, a client's, or a reseller partner's white-labeled product, is built against the same two internal standards: a SOC 2 Type II-aligned security checklist and an AI development best practices framework mapped to NIST AI RMF, ISO 42001, and the OWASP LLM Top 10. This isn't a tier you opt into. It's the baseline.
Adherence Is a Practice, Not a Checkbox
We don't treat security and responsible AI as a one-time audit to pass. Every accelerator in our AI Portfolio & Delivery Suite is measured every year against the same two internal standards, and every finding, fixed or still open, is tracked, not hidden.
The Controls Behind Every Accelerator
These aren't aspirational. Each control below is implemented in the running codebase across every accelerator, verified by counting real route decorators and API responses, not by reading documentation and assuming it matches reality.
Authentication & Session Security
Every route requires authentication except explicitly public health checks. Session tokens are CSPRNG-generated, stored hashed, and expire on a server-enforced TTL.
Tenant Data Isolation
Every query touching client data filters by company server-side, derived from the authenticated session, never from a client-suppliable parameter.
Credential Encryption & Key Rotation
Third-party credentials are encrypted at rest with AES-256-GCM. The master key supports scheduled rotation without a coordinated downtime window.
Single Gateway for External Systems
One service holds every external credential and makes every outbound call to systems like Jira, GitHub, and ServiceNow. No accelerator reaches out on its own.
Audit Logging, Retention & Alerting
Security-relevant events are logged with redaction applied before storage, retained on a defined schedule, and monitored for failed-login patterns.
Automated Dependency Scanning
Every dependency across every accelerator is scanned continuously for known vulnerabilities, with pinned versions to keep builds reproducible.
Governance Built Into How We Build AI
AI features get the same rigor as security controls. We screen what goes into a model, disclose what comes out of one, and keep a human in the loop at the stages that matter.
Prompt Injection Screening
Free text pulled from external systems (tickets, comments, uploaded documents) is screened for injection patterns before it ever reaches a model prompt.
AI-Generated Content Disclosure
Anywhere AI output is shown to a user, the interface says so, plainly, next to the content, not buried in a terms page.
Human-in-the-Loop by Design
Every autonomous pipeline, from Blueprint Generator through the AI Developer Agent, includes a quality gate a person reviews before anything ships.
Model Provenance & Versioning
Which model produced which output is tracked and reproducible, not left to whatever happened to be configured at the time.
Responsible AI Principles
A documented internal standard covers model safety, explainability, and ethical use, reviewed the same way our security standard is.
Continuous AI Monitoring
AI-touching code paths are re-examined every review cycle specifically for this class of risk, not assumed safe because they passed once.
Continuous by Design
There Will Always Be Findings. That's the Point
Security and AI governance standards change every year, and so do our accelerators. We don't treat a clean review as a finish line. We treat it as a snapshot, one we take again on a fixed annual cycle, closing what we can, and documenting honestly what stays open and why.
2026 is our Year 1 baseline. Both standards were reviewed end-to-end across all nine core accelerators, real gaps were fixed in the codebase, not just written down, and the rest became a tracked backlog for the next cycle.
"Aligned" means our engineering practices are measured against SOC 2 Type II control objectives and recognized AI governance frameworks through structured internal review. It is not a claim of independent third-party certification. For engagements that require formal audit evidence or a signed data processing agreement, tell us in the conversation and we'll walk through exactly what we have.