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AI-Native Companies

AI Governance for AI-Native Companies

Your entire product is AI agents — which means your entire risk surface is too. Without governance baked in from day zero, you're shipping compliance debt alongside every feature. Varman gives AI-native teams the observability and policy enforcement to move fast without breaking trust.

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73%
of AI-native companies experienced unexpected agent behavior in production within the first 90 days
Varman AI Risk Report 2024
12
average number of distinct AI agents per AI-native product — each a potential audit and governance gap
AI Infrastructure Survey 2024
0%
of surveyed AI-native companies maintain complete agent audit trails across all production environments
Enterprise AI Governance Study 2024

What's at Stake for AI-Native Companies

AI agents introduce novel attack surfaces and compliance blind spots. These are the vectors your security and compliance teams must address now.

Observability Gap

Multi-Agent Orchestration Blind Spots

When agents spawn sub-agents, hand off tasks, or call external tools, the execution graph becomes opaque. You have no visibility into why an agent made a decision, which model version it used, or what data it accessed — until something goes wrong.

Governance Gap

Customer Data Exposure Through Agents

AI agents in customer-facing products routinely access PII, session data, and account information. Without runtime policy enforcement, a single prompt injection or misconfigured tool call can expose customer data across model boundaries — violating your contractual obligations and SOC 2 scope.

Observability Gap

Model Provider Lock-In Visibility

When Anthropic, OpenAI, or Google updates a model version, your agent behavior can silently change overnight. Without baseline behavior tracking across model versions, you can't detect regressions, certify behavior, or demonstrate consistency to enterprise customers conducting security reviews.

Security Threat

Prompt Injection at Scale

AI-native products are primary targets for prompt injection — malicious inputs designed to hijack agent behavior and exfiltrate data or execute unauthorized actions. Without real-time injection detection across all agent input channels, attackers exploit your product as a vector into your customers' environments.

How Varman Solves It

Three integrated pillars — Observe, Govern, Secure — working in concert to give AI-Native teams complete AI agent control.

Observe

Complete Agent Execution Graphs

  • Full distributed traces across every agent, sub-agent, tool call, and LLM invocation in real time
  • Model version fingerprinting — detect silent behavior changes when providers update models
  • Token-level cost attribution per agent, per customer, per workflow for accurate unit economics
Govern

SOC 2-Ready Policy Framework

  • Codify data access policies as enforceable rules: agents can't read data they shouldn't, period
  • Human-in-the-loop enforcement for sensitive agent actions — block, approve, or log with audit evidence
  • Automated SOC 2 evidence collection: access logs, policy evaluations, and anomaly alerts pre-packaged for auditors
Secure

Runtime Threat Detection for LLM Products

  • Real-time prompt injection detection across all agent input channels with <10ms latency overhead
  • PII detection and redaction before data enters model context — protect customers from data leakage
  • Behavioral anomaly alerts when agent actions deviate from established baselines

Compliance for AI-Native Products

Varman maps directly to the regulatory frameworks governing AI in AI-Native. Deploy with confidence knowing every requirement is addressed.

SOC 2 Type II

Security and availability trust service criteria covering AI agent data access, audit trails, and incident response.

Varman auto-generates SOC 2 evidence: access logs, policy enforcement records, and anomaly detection reports for your auditor.
ISO 27001

Information security management system standard increasingly required by enterprise customers during security reviews.

Varman's policy engine maps to ISO 27001 Annex A controls, documenting AI agent data handling for certification scope.
GDPR / CCPA

Customer data processed by AI agents falls squarely within data protection regulations — especially in EU and California markets.

Varman provides data lineage tracking for agent inputs/outputs, supporting subject access requests and deletion workflows.
Customer Contractual Requirements

Enterprise customers routinely require AI governance attestations in MSAs, DPAs, and security questionnaires.

Varman produces customer-ready AI governance reports documenting your agent controls, policy enforcement, and incident response.

Outcomes That Move the Business

Real results from AI-Native organizations deploying Varman across their AI agent infrastructure.

0
faster SOC 2 readiness with automated evidence collection across all AI agent activity
0
agent audit trail coverage from day one — every decision, every tool call, every model invocation
0
ms policy enforcement latency — governance with no perceptible impact on agent performance
0
faster enterprise sales cycles when customers can review complete AI governance documentation

Deploy Varman in Your AI-Native Product Today

Governance isn't a feature you add later — it's the foundation that makes enterprise contracts possible. Get Varman running in your agent infrastructure in under 30 minutes with our SDK integration.

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