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Security Designed for || Real World AI Use.||

AIGateway intercepts and controls AI interactions as they run, ensuring prompts, outputs, and data usage stay within enterprise guardrails.

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See How AIGateway Secures AI Interactions In Live Enterprise Environments.

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The Business Case for Securing AI Interactions​

AI Changes the Security Surface​

AI introduces new paths for data exposure and unintended behavior that existing security layers are not built to manage.

Secure Signal Processing

Runtime Enforcement Matters​

Effective AI security requires inspection and enforcement during live AI interactions.

Privacy-Preserving AI

Enterprise Grade Controls​

AIGateway delivers this enforcement across production environments without disrupting how AI is used.

Confidence at Scale

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A Unified Framework for Securing AI Interactions​

An integrated foundation that brings consistency and structure to how enterprises govern AI use across teams, systems, and operational contexts.

Securing AI at the Point of Execution​

Defines where AI security is enforced by placing controls directly within live AI interactions.

  • Centralized AI Gateway
  • Request and Response Interception
  • No Bypass Paths
  • Network Level Enforcement

Preventing Prompt and Response Abuse​

Addresses risks introduced through prompts and outputs by governing AI behavior before impact.

  • Protection Against Prompt Abuse
  • Response Governance
  • Policy Based Intervention
  • Hallucination and Gibberish Checks

Protecting Sensitive Data in AI Interactions​

Prevents unintended exposure of sensitive data as it passes through AI driven workflows.

  • PII Detection
  • Data Masking and Redaction
  • Coverage Across Internal and Customer-facing Use Cases

Policy Driven Security and Access Control​

Defines how security rules are applied consistently across AI use cases.

  • Central Policy Management
  • Runtime Policy Enforcement
  • Role Based Access Control
  • Identity Integration
  • Configurable Enforcement Actions

Visibility, Control, and Audit Readiness​

Provides ongoing insight and accountability into how AI is used.

  • Operational Visibility
  • Audit Ready Logging
  • Usage Controls
  • Rate Limiting and Throttling

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A Compliance Library Built for Enterprise AI Adoption​

Documentation and controls that help your legal, security, and procurement teams evaluate AIGateway with confidence and speed.

Contracts, protections, and governance documents that streamline evaluation cycles.

  • MSA, SLA, DPA, NDA, Terms of Use
  • Third-Party Risk Assessment packages
  • Clear data handling and retention policies

Compliance and Regulatory​

Built around recognized compliance frameworks for both traditional software and AI workloads.

  • GDPR adherence
  • Data Privacy and Regulatory Compliance Statements
  • Cross-Border Transfer Policy

Licenses and Certifications​

Independent attestations and certifications that demonstrate operational maturity.

  • SOC 2 Type II compliance reports
  • PCI-DSS (where applicable) and industry attestations
  • Ethical AI Declaration (optional)
  • Alignment with OWASP Top 10 for LLM Applications

Operational and Integration​

Documentation that prepares engineering, operations, and IT teams to assess fit, support requirements, and integration pathways.

  • Integration Guides
  • Support Escalation Matrix
  • User Access Matrix
  • Disaster Recovery & BCP documentation

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Why AI Security Requires a New Approach

AI risks do not appear at configuration alone. They emerge during live interactions. AIGateway enforces security during every AI exchange so governance stays active at all times. We can help you map this approach directly to your existing architecture.

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