Security & Compliance Articles
Deep dives into the architecture decisions behind Sweetspot's CMMC-compliant AI infrastructure.
CMMC Level 2 in the Age of AI: Which Controls Apply to LLM-Powered Platforms
How CMMC Level 2's 110 NIST SP 800-171 controls map to modern AI platforms, covering access control, FIPS cryptography, container security, and media protection.
Read articleFedRAMP AI Models: How to Access GPT-5, Claude Opus 4.6, and Gemini 3.1 Pro Without Leaving a FedRAMP Boundary
A guide to accessing frontier AI models (GPT-5, Claude Opus 4.6, Gemini 3.1 Pro) within FedRAMP authorization boundaries for CMMC and ITAR workloads.
Read articleFIPS 140 Compliance Is an Architecture Decision
FIPS 140 compliance requires enforcement at every layer of your stack: the node OS, service mesh, load balancers, container registry, application dependencies, and storage.
Read articleHardening Kubernetes for CMMC: The Configurations That Matter
The Kubernetes configurations that matter most for CMMC compliance: immutable OS, FIPS nodes, IMDSv2, workload identity, image pinning, encrypted storage, and hardened containers.
Read articleZero Static Credentials: What Passwordless Infrastructure Looks Like in Practice
How to eliminate static credentials from a cloud-native AI platform using workload identity federation, secrets management, server-enforced sessions, and fine-grained authorization.
Read articleAI Security for Government Contractors: How Sweetspot Protects Your Data
How Sweetspot protects CUI-adjacent data with CMMC L2, SOC 2 Type II, zero-day AI data retention, and US-only infrastructure purpose-built for govcon.
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