FedRAMP

FedRAMP Ready, built to the full baseline.

VulcanGov, Vulcan's federal deployment, runs entirely in AWS GovCloud (US), inside an authorization boundary architected to the FedRAMP (Rev. 5) control baseline of roughly 325 controls across 17 families. An accredited third-party assessment organization (3PAO) independently assessed those controls, and VulcanGov is designated FedRAMP Ready and listed on the FedRAMP Marketplace as we pursue full authorization.

AU · CA · SI

Continuous monitoring

CloudTrail (multi-region, log-file validation), GuardDuty, AWS Security Hub on the FedRAMP standard, AWS Config, and VPC Flow Logs run across the GovCloud boundary. Wiz adds cloud security posture management, and Datadog provides observability and security monitoring.

SC

Encryption everywhere

FIPS 140-2 validated cryptography, TLS in transit, and KMS-managed encryption at rest across databases, object storage, and logs, with keys rotated annually.

AC · IA

Identity & access

Okta SAML SSO with MFA, role-based least privilege, and centralized identity across every account in the boundary.

AU

Tamper-evident audit trail

A centralized, KMS-encrypted, versioned log store with object lock and multi-year retention. CloudWatch metric filters and alarms flag privileged and anomalous activity.

CM

Configuration & change control

Infrastructure as code, automated configuration-compliance rules, and CI/CD guardrails that explicitly deny privilege escalation and security-service disruption.

SC · SI

Boundary & network protection

Isolated GovCloud VPCs, private connectivity, network segmentation between tenants and environments, and centralized IP address management.

View VulcanGov on the FedRAMP Marketplace. The full control matrix, System Security Plan, and continuous-monitoring evidence are available to agencies and qualified prospects by request. Request a security briefing to review them with your team.

Data protection

Your data never leaves the boundary.

Agency data is encrypted, isolated, kept in the US, and never used to train AI models. You control retention, and sensitive material never leaves the deployment boundary.

US data residency

Agency data is stored and processed entirely in AWS GovCloud (US), in us-gov-east-1. Nothing leaves the boundary.

No training on your data

Your documents and matter data are never used to train AI models. Model inference runs through AWS Bedrock inside the GovCloud boundary.

Tenant isolation

Each deployment runs inside its own boundary. Agency data is segregated and never commingled across tenants.

Sensitive data stays inside

Privileged matter, citizen records, and pre-decisional materials never leave the deployment boundary.

Customer-controlled retention

Your agency decides how long data is retained. On termination, customer data is removed from the environment.

Documentation on request

The full control matrix, System Security Plan, and continuous-monitoring evidence are available to agencies and qualified prospects.

Agent loop

Plan, ground, draft, verify.

01

Plan

Turns a broad legal question into a research plan that knows what authority exists, where it lives, and how it connects.

02

Ground

Reads against the corpus itself. 157 billion records across every layer of American law and policy, plus the matter files and linked authority the team brings to the question.

03

Draft

Produces memos, redlines, comparisons, tables, source maps, and document work product grounded in the actual record.

04

Verify

Checks every claim against source passages before delivery, flags weak support, and leaves the evidence reviewable.

Capabilities

What becomes possible when the agent owns the record.

Plans against 157 billion records

Turns a broad legal question into a research plan. It maps what authority exists, where it lives, and how it connects across federal regulations, state statutes, municipal codes, court records, and policy datasets. It sees the whole map before it starts.

Reads end to end, not retrieved in chunks

Statutes, regulations, opinions, registers, and guidance. The agent works against the complete document, not snippets returned by a search API.

Drafts grounded in the actual record

Memos, redlines, comparisons, and source maps. Every paragraph traces back to passages the agent actually read in the database.

Traverses the citation graph natively

Because every document is parsed and linked in our corpus, the agent follows authority forward and back at machine speed.

Verifies before delivery

Every claim is re-checked against source passages before a human signs off. Weak support is flagged. Evidence is reviewable.

Surfaces what changed

Continuous corpus updates let the agent know when a statute was amended, a regulation withdrawn, or a case treated negatively.

Demo request

Bring us a research problem, regulatory question, document set, or jurisdiction map. We will prepare a corpus-grounded run with citations, artifacts, and the paper trail, then walk your security team through the FedRAMP boundary.

Live Justinian workflow against the full legal and policy corpus.
Citation, source, artifact, and verification review.
FedRAMP posture, GovCloud architecture, and agency rollout discussion.
Focus areas
FedRAMP Ready. GovCloud deployed.

Bring your hardest research question.

We come prepared with the first analysis ready to run in the meeting, and the security documentation your reviewers need.