Enterprise AI Control Plane & Governance

Enterprise AI Solutions & Control Plane See, secure, and govern AI from prompt to production.

Originix.ai delivers enterprise AI solutions and strategic AI consulting capabilities. We connect prompts, model responses, file access, commands, code changes, and developer AI analytics—giving security, engineering, and audit teams AI agent observability and verified line-level code provenance.

AI Security Platform AI Code Provenance SOC 2 AI Controls
OriginixEvidence graph
Prompt capturedRefactor auth flow
Policy decisionSEC-04 · Passed
Code lineage12 AI lines linked
Developer identityMaya · checkout-api
Correlating 1,842 events / min
app.originix.ai / command-center
Live platform
Live productExecutive overview → real-time telemetry
One enterprise AI governance layer across your stack
GitHub CopilotCursorClaude CodeWindsurfOpenAI CodexGemini Code Assist
AI Risk Management & SDLC Security

AI Solutions for Business: Close the SDLC Visibility Gap.

Traditional security tools see the commit. Originix.ai delivers an AI security platform with enterprise AI guardrails, observing the actions, context, and intent that created it.

01

Shadow AI Detection & Unmanaged Tools

Maintain a complete record of who used which model, with what context, across every corporate repository with generative AI governance.

Shadow AI detection & control
02

AI Security Platform & Data Guardrails

Prevent source code, secrets, customer PII, and internal IP from crossing boundaries using active enterprise AI guardrails.

IP protection & exfiltration prevention
03

AI Code Provenance & Attribution

Reviewers can reliably connect every line back to its model, prompt session, and agent turn with AI code attribution.

Defensible AI code provenance
04

AI Compliance Automation & Audit Evidence

Replace static policy documents with continuous AI compliance automation mapped directly to SOC 2 AI controls and ISO 27001.

Automated audit assurance
Real-Time AI Agent Observability

Follow an AI Action from Prompt to Verifiable Code Provenance

Interactive platform walkthrough showcasing live AI agent observability screens—giving engineering and security teams hands-on experience with enterprise AI solutions and governance workflows.

AI SDLC Security & Enterprise AI Guardrails

Govern the Moment AI Meets Business Code

A continuous control plane loop connects developer AI analytics to policy guardrails, threat intelligence, and audit evidence.

01

AI Agent Observability

Collect prompt, response, command, file, code, model, IDE, repository, and developer telemetry in real time.

02

Prompt Audit Trail

Reconstruct prompt sessions and transcripts so every code change carries its complete development history.

03

Enterprise AI Guardrails

Evaluate autonomous agent behavior against security policy and take preventive action before code lands in production.

04

AI Compliance Automation

Produce searchable timelines, AI code attribution, SOC 2 AI controls evidence, and executive reporting.

Prompt Audit Trail & Forensic Lineage

Complete Code Provenance: Replay Every Prompt, Command & Edit

Replay the autonomous agent’s full journey and separate human contribution from AI-generated code with verifiable, line-level evidence.

01 / Prompt Audit Trail

Reconstruct Autonomous AI Agent Security Events

Step through agent executions turn by turn. Security teams inspect tool actions, engineering reviews exact code diffs, and audit receives a durable prompt audit trail.

  • Chronological prompt and response replay
  • Commands, file reads, reasoning, and edits
  • Repository, branch, model, IDE, and policy context

Transcript replayEverything the agent did in this execution

Clean
checkout-service/feature/token-refreshClaude Sonnet 4Cursor11 prompts8 code edits19 commands
ReplayCommands 19Files & diffs 8Policy 0
Turn 1 / 11Reasoning 2Command 1Code edit 1
Prompt

Fix the token refresh race without changing the public API. Add a regression test.

Command#1
pnpm test auth/token-refresh.spec.ts --runInBand
Code edit#2 · src/auth/token-cache.ts
38- if (cachedToken) return cachedToken;39+ return refreshLocks.get(userId) ?? refreshToken(userId);
02 / AI Code Attribution

AI Code Attribution: Know Who—or What—Authored Every Line

Measure AI contribution across enterprise software development without vanity metrics. Originix follows generated code through commits, proving what was accepted, modified, or removed.

  • Human and AI contribution by repository
  • Model, developer, session, and prompt lineage
  • 7-, 30-, and 90-day AI code survival

Human vs AI codeAccepted code contribution · last 30 days

30 days
Total surviving lines184,620+12.4% vs prior period
Human-authored62%114,464 lines
AI-authored38%70,156 lines
AI 30-day survival81%High confidence

Contribution over timeAccepted lines that remain in the codebase

HumanAI
Week 1Week 2Week 3Today
RepositoryAI shareSurvivalRisk
checkout-servicepayments-platform42%86%Low
identity-apicore-services31%79%Review
web-consolecustomer-experience47%84%Low
Generative AI Governance Modules

Comprehensive AI Solutions for Every Governance Question

Select any area to open a self-contained preview powered by our AI security platform and developer AI analytics engines.

Autonomous AI Agent Security

Enterprise AI Integration & Connected Audit Evidence

Originix.ai creates a defensible record across the full lifecycle of enterprise AI solutions—not a collection of isolated security alerts.

Sessions & transcriptsReplay the full execution path from prompt to code.

Code lineageAttribute committed lines to AI or human authorship.

Commands & file accessMonitor the actions autonomous agents take locally.

Security findingsConnect vulnerabilities, secrets, anomalies, and exfiltration.

Policy decisionsRecord every pass, alert, and blocked action.

Impact & economicsMeasure adoption, survival, quality, velocity, and spend.

Session 9F2A-71C
Evidence graph
personDeveloperMaya Chen
prompt_suggestionPromptRefactor auth flow
neurologyModelClaude 3.7
codeFile changemiddleware.ts
policyPolicySEC-04 passed
commitCommit84c1f6a
OriginixCorrelated evidence
AI Consulting & Strategic Impact

Enterprise AI Solutions for CISOs, Engineering & Audit

CISO & Security

Reduce the AI attack surface

Investigate risky behavior with developer, prompt, model, repository, and code context already connected.

Minutes, not daysto reconstruct an incident
Engineering leaders

Scale AI without losing control

Understand adoption, quality, cost, and delivery impact across teams while preserving developer flow.

One control planefor every coding assistant
GRC & Audit

Replace screenshots with evidence

Continuously map real development events to policies and audit controls, with drill-down proof on demand.

Always readycontinuous control evidence
Enterprise-Ready AI Governance

Deploy Enterprise AI Guardrails Without Friction

Deploy a consistent enterprise AI control plane across tools and teams while developers stay in their existing IDEs and workflows.

SOC 2 AI ControlsContinuous evidenceISO 27001Control mappingRBAC-ReadyEnterprise accessYour DataClear ownership
See Originix on your stack

Bring your AI development blind spots. Leave with an actionable control plan.

In 30 minutes, we’ll map Originix.ai to your tools, repositories, security program, and compliance priorities.

01

Trace a real AI sessionFrom developer prompt to committed, surviving code

02

Test policy and live detectionSecrets, unauthorized commands, sensitive file access, and flaws

03

Build the audit evidence viewSecurity, engineering velocity, and SOC 2 / ISO 27001 outcomes

“The question isn’t whether developers will use AI. It’s whether your organization can govern what happens next.”

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