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Sython AI Services

Government LLM Security and Compliance Support

We help civilian agencies, defense programs, state and local teams, and federal contractors deploy LLM systems with private-by-default architecture, strong isolation boundaries, and evidence your security and ATO (Authorization to Operate) stakeholders can review—such as system boundary and data-flow documentation, control narratives aligned to NIST SP 800-53, SSP and continuous monitoring inputs, and configuration baselines. We support FedRAMP-aligned control mapping and evidence preparation without claiming certification, authorization, or legal determinations on your behalf. Responsibility is shared: cloud and model vendors provide platform and model-layer controls; your program owns data sensitivity, policy, and authorizing decisions; we implement technical safeguards and assemble evidence packages your ISSO and AO teams can consume.

Private and isolated deployment patterns

Support isolated private networks with controlled egress, tenant separation, and environment-level isolation; add physically air-gapped deployments only when your program truly requires no routable connectivity—most workloads use restricted private networks rather than a literal air gap.

Control-mapped architecture for federal programs

Map design decisions to FISMA, FedRAMP-aligned security controls for Moderate/High impact levels, NIST SP 800-53, and NIST SP 800-171 where CUI applies, using the NIST AI RMF for AI-specific risk framing.

Map CMMC certification requirements for DoD contractors handling CUI in the defense industrial base and CJIS Security Policy control areas for traceable security review.

Separately, plan Section 508 and WCAG-aligned accessibility for public-facing electronic services—accessibility compliance is adjacent scope, not a substitute for security controls.

LLM abuse and tool-risk controls

Address prompt injection, over-broad tool permissions, and data-exfiltration paths with content isolation, least-privilege tool policies, output constraints, and human-in-the-loop gates where policy requires.

Data protection and continuous monitoring support

Implement encryption in transit and at rest using FIPS 140-3 validated cryptographic modules where policy requires them, plus key and secrets boundaries that match your crypto architecture.

Add logging with retention aligned to agency policy and monitoring hooks for SOC workflows and incident response.

Auditability and evidence readiness

Instrument access trails, append-only or tamper-evident logging where your logging architecture supports it, model and prompt change history, release attestations, POA&M-ready findings, SAR/SAP inputs where applicable, and operational dashboards aligned to continuous monitoring and RMF evidence expectations.

Automated policy and grounding guardrails

Deploy real-time filters for PII detection, grounding checks, and custom policy enforcement logic to support agency safety requirements. See our LLM Guardrails & Governance services.

Frameworks and orchestration

We adapt architecture to your constraints, model family, and compliance profile.

Boundary protection and segmented network design Identity federation and privileged access controls Configuration management and change governance Vulnerability management and patch cadence alignment Supply chain risk management (SCRM), SBOMs, provenance, and signing for critical components Accessibility-by-design for public-facing experiences (Section 508)

Vector stores and backends

Vector databases and extensions—distinct from orchestration frameworks above.

pgvector Pinecone Weaviate Qdrant

Sovereign and government cloud environments

Accredited hosting boundaries for regulated workloads—selected with your authorizing stakeholders, since impact level and data classification drive the choice.

AWS GovCloud (US) Microsoft Azure Government Google Cloud for Government — Distributed Cloud Hosted (GDCH)

Government program control support model

  • Classify data sensitivity—CUI (Controlled Unclassified Information), PII, law-enforcement-adjacent, and mission-specific—and the approved handling paths for each.
  • Document system boundaries, trust boundaries, data flows, and interfaces for models, vector stores, orchestration services, and admin tooling.
  • Build a controls matrix mapping technical safeguards to FISMA, FedRAMP-aligned controls for Moderate/High impact levels, NIST SP 800-53, NIST SP 800-171 where CUI applies, the NIST AI RMF, CMMC for DIB contractors handling CUI, and CJIS Security Policy control areas.
  • Select an accredited hosting boundary—AWS GovCloud (US), Microsoft Azure Government, or Google Distributed Cloud Hosted (GDCH) where air-gapped operation is required—and, where DISA SRG or impact-level hosting (for example IL4/IL5) applies, align network and boundary patterns to those constraints.
  • Map deliverables to RMF lifecycle touchpoints—categorize, select, implement, assess, authorize, monitor—without substituting for authorizing official decisions.
  • Clarify accountable approvers for model weights, system prompts, retrieval corpora, and tool manifests (ISSO, ISSM, engineering leads, and mission owners as your governance model defines) and reflect them in change records and evidence packets.
  • Plan Section 508 and WCAG accessibility as its own workstream for public-facing electronic services, distinct from security control implementation.
  • Implement logging, retention, and alerting guardrails aligned to continuous monitoring and incident response expectations.
  • Run tabletop drills for credential misuse, data spillage, and third-party or model-supply disruptions, and schedule periodic adversarial simulations for prompt injection, tool misuse, and exfiltration paths aligned to your security assessment cadence.

Example: secure internal assistant for grants and compliance teams

A program office needed an internal assistant for policy research and grantee support with strict handling of sensitive narratives. We designed a private network architecture with isolated environments, encrypted retrieval, scoped role access, and full audit logging. We then mapped controls to NIST SP 800-53 control families used in FedRAMP programs, aligned logging to SOC workflows, and prepared SSP-oriented evidence and boundary documentation for security review before wider release.

Frequently asked questions

Do you claim FedRAMP authorization or an ATO on our behalf?

No. We support your teams with FedRAMP-aligned technical design, control implementation, and evidence readiness. Mapping architecture to control objectives is not authorization—your security, legal, and authorizing officials make authorization and compliance determinations.

Can we keep agency data out of public model training?

We configure provider and deployment controls to prevent use of customer content for public model training where the product supports it, and we validate those settings technically while aligning contractual terms—retention, training opt-out, logging, region and data-residency options—with your counsel and security team.

How do you handle defense or law-enforcement-adjacent workloads?

We tailor architecture and control emphasis to your mission profile—for example CJIS Security Policy control areas for justice programs or export and foreign disclosure considerations for defense-adjacent data—without substituting for your compliance counsel.

Ready to improve your LLM stack?

We help teams move from demos to measurable business outcomes with robust quality, latency, and cost controls.

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