Regulatory requirements are scattered across multiple frameworks with overlapping controls
Compliance research in minutes, not weeks
GRC teams spend weeks manually mapping internal policies to regulatory requirements across frameworks. Context builds a knowledge graph that connects regulations, policies, and evidence -- so compliance research produces cited answers instantly, with a full audit trail.
Book a Demo80%
FASTER REGULATORY RESEARCH AND CROSS-REFERENCING
5x
MORE CONTROLS MAPPED PER ANALYST PER DAY
100%
AUDIT TRAIL COVERAGE ON EVERY AI-ASSISTED ANSWER
60%
REDUCTION IN AUDIT PREPARATION TIME
The Problem
Why this is hard without a knowledge graph
Regulatory requirements are scattered across multiple frameworks with overlapping controls
Mapping internal policies to external requirements takes weeks of manual cross-referencing
Audit evidence collection requires chasing documentation across dozens of teams and tools
Compliance data is too sensitive for cloud-based AI tools, blocking automation efforts
The Solution
How Context solves it
01
Instant regulatory requirement lookup
Query across SOC 2, GDPR, HIPAA, ITAR, CMMC, and more. Context returns specific control requirements with citations to the source regulation and your internal policies that address them.
02
Policy-to-requirement mapping
Context's knowledge graph automatically maps your internal policies, procedures, and controls to external regulatory requirements. See coverage gaps and overlaps at a glance.
03
Audit-ready evidence trails
Every AI-assisted answer includes full provenance -- source documents, timestamps, and authorship. Auditors can verify every claim independently.
04
Data-sovereign compliance AI
Context deploys on-premise so compliance data, policy documents, and regulatory mappings never leave your infrastructure. Full audit trail for every query.
Beforeraw signals
Mapping internal policies to external requirements takes weeks of manual...
Audit evidence collection requires chasing documentation across dozens of teams...
Compliance data is too sensitive for cloud-based AI tools, blocking...
Regulatory requirements are scattered across multiple frameworks with overlapping controls
Mapping internal policies to external requirements takes weeks of manual...
Audit evidence collection requires chasing documentation across dozens of teams...
Compliance data is too sensitive for cloud-based AI tools, blocking...
Afterstructured outcomes
01
Instant regulatory requirement lookup
02
Policy-to-requirement mapping
03
Audit-ready evidence trails
04
Data-sovereign compliance AI
How It Works
From deployment to answers
01
Connect compliance sources
Link your policy documents, regulatory frameworks, and evidence repositories. Context ingests from Confluence, SharePoint, ServiceNow, and GRC platforms.
02
Knowledge graph maps controls
Context automatically identifies relationships between regulations, internal policies, controls, and evidence. Overlapping requirements across frameworks are connected.
03
Query with natural language
"Which internal controls address NIST 800-171 access management requirements?" -- Context returns your policies, mapped controls, and evidence with citations.
04
Export audit packages
Generate evidence packages for auditors with full traceability from regulatory requirement to internal control to supporting evidence.
FAQ
Frequently asked questions
How does Context automate compliance research?
Context builds a knowledge graph that connects regulatory requirements, internal policies, controls, and evidence. When you query about a specific regulation or control, Context returns your mapped policies and supporting evidence with citations -- eliminating manual cross-referencing.
Which compliance frameworks does Context support?
Context works with any compliance framework including SOC 2, GDPR, HIPAA, ITAR, CMMC, FedRAMP, NIST 800-171, ISO 27001, PCI DSS, and more. The knowledge graph connects requirements across frameworks to identify overlaps and gaps.
Can Context help with audit preparation?
Yes. Context generates evidence packages with full traceability from regulatory requirement to internal control to supporting documentation. Every AI-assisted answer includes provenance so auditors can independently verify claims.
Is compliance data safe with Context?
Context deploys entirely on your infrastructure. Compliance policies, regulatory mappings, and audit evidence never leave your network. Every query generates a full audit trail with timestamps and user attribution.
How does Context handle regulatory changes?
When regulatory documents are updated in your connected sources, Context automatically re-indexes and updates the knowledge graph. Affected internal policies and controls are flagged for review.
How long does it take to map our compliance landscape?
Initial knowledge graph construction takes 2-4 weeks depending on the number of connected sources. Context continuously refines mappings as it processes more documents and queries. Most teams see actionable results within the first week.
Industries
Industries that benefit most
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