Trust & Security
Enterprise-grade infrastructure for AI visibility monitoring.
InfluenceLayer is built with security, transparency, and data protection at its core. We provide AI visibility intelligence — not surveillance — with strict data handling standards and secure-by-design architecture.
Security-First Architecture
Data Encryption
All data is encrypted in transit using TLS 1.2+ and encrypted at rest using modern encryption standards.
Secure Infrastructure
InfluenceLayer runs on enterprise-grade cloud infrastructure with isolated environments and strict access controls.
Access Controls
Role-based permissions, audit logging, and principle-of-least-privilege architecture.
API Security
Secure API communication and token-based authentication.
Data Protection & Privacy
Clear boundaries on what we access and how we handle data.
What We Don't Do
- Access private AI conversations
- Scrape personal data
- Store sensitive personal information
- Modify LLM outputs
What We Do
- Monitor public AI model responses
- Track brand visibility patterns across LLMs
- Measure competitive positioning
- Provide resilience analytics
Built for Enterprise
Multi-LLM Coverage
Monitoring across ChatGPT, Claude, Gemini, and Perplexity.
Data Isolation
Workspace-based separation of customer data.
Security Documentation
Security documentation available upon request.
Compliance Roadmap
SOC 2 alignment and enterprise compliance roadmap in progress.
Transparency by Design
AI monitoring should be measurable, explainable, and accountable. InfluenceLayer provides structured visibility metrics without accessing proprietary model data or private conversations.
Built by Practitioners. Led by Experience.
Roy Kimhi
Founder, InfluenceLayer
Roy Kimhi has over 10 years of experience in digital marketing and digital strategy, with 15 years of experience in B2B marketing and data analytics. His background spans technology, analytics infrastructure, and banking.
Throughout his career, Roy has worked at the intersection of data, distribution, and enterprise strategy — helping organizations understand how digital systems shape brand visibility and market positioning.
InfluenceLayer was built from direct experience observing how AI systems are becoming a new distribution layer — and how enterprises lack the infrastructure to measure and defend their presence inside them.
Roy remains directly involved in product architecture, data methodology, and enterprise onboarding to ensure InfluenceLayer maintains technical rigor and strategic depth.