Modern Dev & Application Services ––

Move Fast. Keep Control.

InfoMagnus Continuous Compliance connects requirements, code, tests, evidence, and policy checks so teams can manage change while preserving accountable human review.
Why Continuous Assurance Matters Now ––

AI Is Accelerating the Entire Software Lifecycle.

Teams now use AI to help plan work, shape designs, write code, create tests, update documentation, and prepare releases. That added speed increases the risk that requirements, policies, evidence, and prior assurance decisions fall out of sync with the software.
Continuous Compliance helps teams answer five questions every time something changes:
What changed?
Which requirements, tests, controls, and evidence are affected?
What evidence may be missing or stale?
What remediation work is required?
Where must a person review or approve the change?
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The Assurance Gap ––
Compliance Breaks When Engineering and Evidence Fall Out of Sync.
AI is increasing the pace of software change. Traditional assurance processes cannot keep up when engineering work and supporting evidence live in separate systems.
Engineering Moves Forward
Link requirements, design decisions, code, tests, and supporting evidence so teams can trace how each change affects the system.
Assurance Falls Behind
Reviews happen late, evidence becomes outdated, and teams rebuild records before an audit or release.
InfoMagnus Connects the Work
Continuous Compliance brings requirements, policy, evidence, and remediation into the GitHub workflows teams already use.
Where Continuous Compliance Fits ––

One Assurance Model Across Every Kind of Modernization.

Modernization changes code, platforms, and delivery. Continuous Compliance connects architecture, pipelines, AI-assisted work, evidence, policy, and accountable review within existing GitHub workflows.
Modernize Platforms
Apply policy, provenance, and release governance to repositories, pipelines, environments, identity, and runtime foundations, so evidence and control move with every platform change.
Modernize Applications
Maintain traceability across requirements, architecture, dependencies, code, tests, and evidence as applications are refactored, migrated, or replatformed.
Modernize Engineering Work
Govern AI-assisted planning, development, testing, and remediation with defined context, automated checks, approval boundaries, and required human review.
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A Connected Engineering Workflow

Continuous Assurance Follows Every Change.

AI-assisted work takes place across the software lifecycle. The Continuous Compliance assurance loop moves with that work, keeping each change connected to the right context, evidence, policy, and review.
Turn Every Change Into Traceable Assurance Work.
continuous compliance automation —
Arm Zena CSS and the Future of AI-Defined Vehicles.
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How InfoMagnus Delivers ––

Build the Assurance Model Around Real Engineering Work.

InfoMagnus assesses your current process, designs the traceability and policy model, implements the workflow in GitHub, and prepares teams to operate it at scale.
AI Engineering and Compliance Readiness
We identify AI-assisted workflows, regulated obligations, evidence sources, GitHub environment and connected engineering systems, governance gaps, and the smallest practical pilot.
Traceability and Context Design
We connect requirements, architecture decisions, code, tests, policies, and evidence so engineering automation and AI-assisted workflows operate with the right context.
Policy and Assurance Design
We define impact rules, evidence-freshness checks, policy gates, exceptions, and required human approval points.
GitHub Workflow Implementation
We implement GitHub Actions, automated checks, issues, pull requests, compliance summaries, AI-assisted remediation paths, and revalidation workflows.
Operationalization and Scale
We establish ownership, runbooks, review practices, reusable patterns, evidence-retention methods, and measures for expanding the model.
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Silhouette of a person standing in a large space with light coming through an open doorway, symbolizing opportunity or direction.
Silhouette of a person standing in a large space with light coming through an open doorway, symbolizing opportunity or direction.
Clear Decision Authority —

Automated Checks Find the Impact. People Retain Control.

Continuous Compliance keeps decision authority human, using deterministic checks for evidence, while AI only assists.
Deterministic Assurance
Connects requirements, designs, code, tests, policies, and evidence.
Detects changed and affected relationships.
Evaluates configured policies and evidence state.
Produces traceable findings and gate results.
AI-Assisted Engineering
Explains findings in role-appropriate language.
Helps prepare issues, tests, documentation, and remediation proposals.
Operates within defined instructions and workflow boundaries.
Returns proposed changes to automated checks and accountable human review.
Assess Readiness or Start a Continuous Compliance Pilot.
Identify gaps across traceability, evidence, policy, workflows, and ownership, or test the model through one contained GitHub workflow.
You're all set! An InfoMagnus representative will follow-up with more details regarding your interest in InfoMagnus services and solutions.
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