nltAICF
Automated Infrastructure & Cybersecurity Framework
The secure-by-design automation framework our cybersecurity practice uses to build, harden, and continuously govern cloud and hybrid infrastructure — with security and policy enforced before anything ships and continuously after.
AICF is the framework our cybersecurity practice uses to stand up, harden, and continuously govern infrastructure — whether migrating and managing legacy enterprise environments or building greenfield. Tool-agnostic infrastructure-as-code and policy-as-code make implementations fast, testable, repeatable, self-documenting, self-healing, CI/CD-ready, and multi-cloud compatible — with security and policy enforced before anything ships and continuously after.
- Infrastructure-as-code, any stack
- Policy-as-code guardrails
- Drift detection & self-healing
- Continuous compliance support
How it works
Security and policy are designed in from the first commit — not retrofitted before an audit.
- 1
Provision as code
Tool-agnostic infrastructure-as-code (Terraform/OpenTofu, Ansible, Pulumi, CloudFormation/Bicep) provisions your environment — fast, testable, repeatable, and self-documenting.
- 2
Enforce policy before it ships
Policy-as-code guardrails (OPA/Rego, Sentinel, Checkov, Kyverno, cloud-native) run pre-deployment checks that block non-compliant or insecure changes before they ever ship.
- 3
Secure the pipeline
CI/CD with security shifted left — integrated SAST/DAST, SBOM generation, secrets scanning, and vulnerability gating on every build.
- 4
Detect drift & stay hardened
Post-deployment drift detection and remediation keep every environment in its approved, hardened state continuously, while compliance evidence supports your own authorization and audit program.
Product specs
Built on the right tools for your environment
Provider-neutral by design — AICF fits your environment instead of forcing a rewrite.
AWS (incl. GovCloud) · Azure (incl. Government) · Google Cloud · On-prem / Hybrid.
Terraform / OpenTofu · Ansible · Pulumi · CloudFormation / Bicep.
OPA · Sentinel · Checkov · Kyverno · cloud-native guardrails.
Control mapping · evidence automation · POA&M tracking · audit-ready reporting that support each customer’s own authorization and continuous-monitoring program.
SAST/DAST, SBOM generation, secrets scanning, and vulnerability gating (e.g., Trivy, Grype, Snyk, Checkov).
Cloud security posture management (CSPM), least-privilege identity, benchmark hardening, and container/Kubernetes security across multi-cloud workloads.
Automated vulnerability scanning paired with manual penetration testing from NLT’s cybersecurity practice (PTES, OWASP WSTG, OSSTMM), feeding the framework’s guardrails.
Engagement models
AICF is the automation backbone our cybersecurity engineers bring to an engagement — for a greenfield build, a modernization, or ongoing governance. Pricing is scoped to environment, cloud footprint, and service level — never one-size-fits-all.
New Build
Greenfield, secure by design
Modernization
Migrate & harden legacy
Managed Governance
Continuous, hands-off
New Build
Greenfield, secure by design
- Best for
- A new environment built from scratch
- Focus
- Secure-by-design IaC from the first commit
- Operated by
- NLT cybersecurity engineers
- Ongoing
- Hand-off or continued governance
Modernization
Migrate & harden legacy
- Best for
- Migrating and managing legacy enterprise environments
- Focus
- Migration, hardening, and policy enforcement
- Operated by
- NLT cybersecurity engineers
- Ongoing
- Hand-off or continued governance
Managed Governance
Continuous, hands-off
- Best for
- Teams that want it governed for them
- Focus
- Continuous drift remediation, monitoring & compliance evidence
- Operated by
- NLT (fully managed)
- Ongoing
- Ongoing, paired with cybersecurity services
Deployment options
Provider-neutral across the clouds you already run — public, government, or hybrid.
AWS (incl. GovCloud)
Provision and govern AWS environments, including GovCloud for public-sector workloads.
Azure & Google Cloud
Azure (incl. Government) and Google Cloud, with the same policy-as-code guardrails applied consistently.
On-Prem / Hybrid
Bring the framework to on-premise and hybrid environments inside your existing boundary.
Past Performance
Proven Across Government and Commercial Cloud
Federal Statistical Computing Program (AWS GovCloud)
Infrastructure-as-code and secure cloud operations for a federal statistical computing environment on AWS GovCloud — CI/CD automation, policy enforcement, and continuous security monitoring in support of the program’s own requirements.
Healthcare Supply-Chain Operations (Azure)
Cloud security posture management and infrastructure automation for commercial healthcare supply-chain operations on Azure, supporting the customer’s HITRUST implementation and a hardened security posture.
Practitioner-in-the-Middle
Results a human expert stands behind
You don’t just get AI results — you get results validated by NLT practitioners. AI-native output is checked against domain expertise and ground truth, corrected where needed, and delivered quality-assured.
A human-expert validation lifecycle you can call on for nltAICF — and across every NLT product.
For infrastructure and security specifically, NLT’s cybersecurity practitioners pair automated guardrails with manual penetration testing and expert review before an environment goes live.
AI-native system produces results
The product’s AI-native engine generates an initial answer, map, or analysis from your data.
NLT practitioner validates
A domain-expert NLT practitioner checks the result against ground truth and professional judgment.
Refine & correct
Findings are refined, reconciled with the source data, and corrected where the model needs a human hand.
Quality-assured, delivery-ready
You receive results a human expert stands behind — trustworthy and ready to act on.
Why teams run nltAICF
Security before it ships
Policy-as-code blocks non-compliant or insecure changes pre-deployment — security is designed in from the first commit, not retrofitted before an audit.
Stays hardened over time
Automated drift detection and remediation keep every environment in its approved, hardened state continuously, without manual intervention.
Supports your authorization program
Control mapping, evidence automation, POA&M tracking, and audit-ready reporting support each customer’s own authorization and continuous-monitoring program.
Operated by the team that builds it
AICF is the automation backbone NLT’s cybersecurity engineers bring to every cloud and modernization engagement — not a bolt-on product.
NLT has supported FEMA’s Authority to Operate (ATO) implementations across multiple contracts, and has run AICF across federal GovCloud and commercial healthcare cloud environments.
Ready to move on nltAICF?
Get a scoped quote, talk with our team, or book a walkthrough. Public pricing is on the way — until then we scope it fast to your environment, cloud footprint, and service level.