AI-Native Safety Infrastructure

Use Any AI.
Protect your organization's data.

Skris enforces policy before data is submitted to the AI, preventing accidental data exposure at the moment of interaction.

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Local First — Sovereign Environments.

Cloud providers, private, or local — same protection layer.

  • OpenAI
  • Anthropic
  • xAI
  • Mistral
  • Gemini
  • Llama
  • Perplexity
  • Ollama
  • AWS
  • Hugging Face
  • OpenRouter

Features

Built for secure AI adoption at scale.

A modern control layer that aligns policy intent with real-time intervention across AI workflows.

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Local-first policy checks

Evaluate sensitive prompts before transmission, directly at the interaction boundary.

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Bring your own inference stack

Skris applies a unified policy model across cloud models, on-prem deployments, and local AI agents.

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Translate policy into real-time assistance.

Assist users with prompts, removing second-guessing without slowing teams down.

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Deploy on your infrastructure

You control where it runs and how it's configured. Adapt to your sensitive workflows.

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Start focused. Expand deliberately

Start focused and expand across gateways, browsers, workspace apps, and extensions.

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Evidence without surveillance

Generate defensible audit narratives with metadata-only governance events by default.

Audit-Ready Evidence

Submission-Time Policy Outcomes

If a control triggers only after transmission, the boundary is already crossed. That is why governance cannot rely only on policy docs, training, or after-the-fact audits; it needs workflow-level enforcement before submission.

44
Blocked
115
Notices
1,047
Total Interactions

* Based on researched AI usage statistics

What Changed

AI moved the risk boundary

Most security stacks were not built for this surface.

What Changed?

The highest-frequency risk now sits at AI submission time.

Historically, organizations protected data at file, endpoint, and network boundaries. AI shifts risk to a faster control surface: the moment someone submits content in a prompt box, copilot paste, API call, or agent workflow.

See How It Works
Real-time policy enforcement dashboard
Universal Coverage

One policy, every AI surface

The goal is adoption with accountability, not fear. Controls should feel like guardrails that help teams move faster with less risk. Effective governance is pre-submission, local-first, minimal by default, and explicit about anti-surveillance boundaries.

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Deployment coverage architecture

Compliance & Certifications

Enterprise-grade security standards

Meet regulatory requirements with confidence

SOC 2 Type II Compliant Security & Availability
ISO 27001 Compliant Information Security
GDPR Aligned Data Protection
NIST CSF Aligned Cybersecurity Framework
CCPA Compliant Privacy Rights
SOC 2 Type II Compliant Security & Availability
ISO 27001 Compliant Information Security
GDPR Aligned Data Protection
NIST CSF Aligned Cybersecurity Framework
CCPA Compliant Privacy Rights
SOC 2 Type II Compliant
ISO 27001 Compliant
GDPR Aligned
NIST CSF Aligned
CCPA Compliant

Risk Intelligence

Local-first evaluation reduces risks.

Our engine analyzes every interaction in milliseconds, identifying sensitive data, policy violations, and emerging risks before they become incidents.

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Blocked

PII in prompt

Blocked 2ms ago

Notice

Code snippet detected

Seen 1m ago

Safe

General query

Allowed

Next Step

Move from policy intent to enforceable AI interaction control.

Start with a technical brief or a structured evaluation. Deploy controls without blocking productive AI usage.

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