Compliance Auditing forProduction AI Systems

Mirror every LLM interaction to isolated sandboxes. Audit for PII, compliance violations, and security risks without storing raw prompts or adding latency.

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How Continum Works

Three-step process to audit AI interactions without storing sensitive data

01

Mirror Interactions

Send a copy of your LLM prompts and responses to Continum's API. Original requests continue to your AI provider with zero latency impact.

02

Sandbox Analysis

Data is processed in isolated, RAM-only sandboxes. AI models scan for PII, compliance violations, and security risks in real-time.

03

Signal Generation

Only metadata and violation signals are stored. Raw prompts are never persisted. Review findings in your dashboard.

Technical Architecture

Built for security, compliance, and zero-trust environments

Stateless Processing

All data processing happens in RAM-only sandboxes that are destroyed after each audit.

  • ✓No disk writes or persistent storage
  • ✓Automatic memory cleanup after processing
  • ✓Isolated execution environments

Zero Latency Impact

Fire-and-forget architecture means your AI requests aren't blocked or delayed.

  • ✓Async mirroring to Continum API
  • ✓No blocking on audit completion
  • ✓Background signal generation

Metadata-Only Storage

Only violation signals and metadata are persisted for compliance reporting.

  • ✓Timestamps and violation types
  • ✓Risk scores and confidence levels
  • ✓No raw prompts or responses stored

Simple Integration

Add one function call to your existing AI code. Works with any LLM provider.

  • ✓OpenAI, Anthropic, Gemini, and more
  • ✓TypeScript, Python, Go SDKs
  • ✓REST API for any language

Integration Example

Add Continum to your existing AI code in minutes

1

Before: Standard OpenAI Call

const response = await openai.chat.completions.create({
  model: "gpt-4",
  messages: [{ role: "user", content: userPrompt }]
});
2

After: With Continum Mirroring

const response = await openai.chat.completions.create({
  model: "gpt-4",
  messages: [{ role: "user", content: userPrompt }]
});

// Mirror to Continum (async, non-blocking)
continum.mirror({
  prompt: userPrompt,
  response: response.choices[0].message.content,
  sandbox: "customer_support"
});

What Happens Next

1

Continum receives the mirrored data in an isolated sandbox

2

AI models scan for PII, credentials, compliance violations

3

Violation signals are generated and stored (no raw data)

4

Sandbox is destroyed, all data removed from memory

Frequently Asked Questions

Common questions about how Continum works

No. Continum processes data in RAM-only sandboxes that are destroyed after each audit. Only metadata and violation signals are stored—never raw prompts or responses.
No. Mirroring is asynchronous and non-blocking. Your AI requests go directly to your provider (OpenAI, Anthropic, etc.) with zero latency impact. Continum processes the copy in the background.
Continum works with any LLM provider—OpenAI, Anthropic, Google, Azure OpenAI, self-hosted models, and more. You send us a copy of the interaction; we don't care where it came from.
Add one function call after your AI request. We provide SDKs for TypeScript, Python, and Go, plus a REST API for any language. Integration typically takes less than 30 minutes.
PII (names, emails, phone numbers, addresses), credentials (API keys, passwords), financial data (credit cards, bank accounts), health information (PHI), and custom patterns you define.
Yes. Continum is designed for compliance-heavy environments. Our stateless architecture means we never store regulated data, making it suitable for healthcare, finance, and government use cases.
We offer a free Dev tier with 1,000 audits per month. PRO plans start at $99/month for 10,000 audits. Enterprise pricing available for high-volume customers. See our pricing page for details.
Violations appear in your dashboard as signals. You can review them, mark false positives, and set up alerts. Continum doesn't block your AI requests—it's an audit tool, not a firewall.

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