Deploy and operate Calibo inside your environment with security, control, and speed
Customer‑owned deployment. Enterprise IAM & logging integration. No standing vendor access. Reduce operational friction between innovation teams, security and risk organizations.
Successful enterprise adoption of AI requires fundamental paradigm shift.
Business teams need an innovation methodology and sandbox to engage and take ownership of their Data and AI initiatives
Fragmented platforms and inconsistent controls slow AI adoption.
Trust boundaries between experimentation and production constrain scale.
Teams need a governed way to move from idea to production inside their own controls.
Calibo runs inside your environment so security, access, and governance remain under your control
Customer-owned deployment (in customer’s cloud)
Deploy and operate in your cloud, under your policies
No standing vendor access
No always-on, high-privilege Calibo access
Your identity provider
Integrate with enterprise IAM / SSO and role-based access
Your logging & monitoring
Plug into your SIEM and audit processes
Clear trust boundaries
Keep sensitive data within customer-controlled environments
Predictable scaling & cost governance
Operate with visibility and control as usage grows
What risk, security, and operations teams look for
Deployment model - Can it run fully inside our environment?
Yes — fully customer‑installed (standalone) supported.
Security validation - Has it been independently tested?
Yes — independent third‑party security assessments completed.
Risk outcome - Any material blockers?
No — no material security/operational/compliance blockers identified.
Access & control - Do we retain full control?
Yes — customer‑managed IAM, keys, networks; no standing vendor access.
Regulatory alignment - GLBA / NYDFS expectations?
Aligned via CIS RAM v2.1–based controls.
Observability & audit - Can we monitor and audit activity?
Yes — built‑in logging, SIEM integration, exec dashboards.
Resilience - How does it behave under failure?
Enterprise‑ready HA patterns; customer‑defined RTO/RPO.
Cost governance - Are costs predictable?
Intelligent scaling, cost visibility; ~40% reduction in monitoring overhead observed.
Onboarding speed - How fast to deploy?
Same‑day achievable once prerequisites are met.
How deployment & governance work
Ownership
Customer‑owned, customer‑governed
All components run in your cloud accounts; identity, network, encryption, and change‑management follow your processes.
Depth
Assurance depth
Completed independent security & enterprise readiness assessments designed to mirror bank‑grade rigor across infra, Kubernetes, identity, logging, and web/API surfaces (aligned to NIST/OWASP/CIS).
Visibility
Operate with visibility
Built‑in observability for security, performance, and cost; logs and audit trails to support SOC operations, incident investigation and regulatory audits.
Key foundational controls validated across governance, operations, and technical domains -- with assessments grounded in a CIS RAM v2.1–aligned risk framework; web/API penetration testing; and infrastructure security testing.
Methodology-Driven Innovation
The Sandbox follows a clear, three-phase methodology designed to deliver measurable innovation while avoiding duplication and ensuring governance.
Step1
Business-Led Prioritization
Define strategic use cases tied to measurable KPIs. Align business engagement with engineering to improve operational efficiency and outcomes.
Step2
Practitioner-Led Engineering
Implement bite-sized, agile experimentation cycles within secure environments. Reuse assets, enforce governance, and ensure consistent data handling through the SSOT.
Step3
Validation & Scale
Validate AI and automation outcomes with data-driven evidence. Transition proven models into production seamlessly, supported by continuous learning and compliance monitoring.
Meet us at the AI India Summit
Want a deployment readiness walkthrough or security Q&A? Find Calibo at the Andhra Pradesh Pavilion — or request a meeting time.