Inflection.io

About Inflection

Inflection is a B2B marketing automation platform built around product, CRM, and warehouse data. Marketing teams use it to run campaigns across the customer lifecycle rather than treating every contact as a conventional lead.

That means Inflection connects to systems such as Salesforce, HubSpot, Snowflake, and BigQuery. Those integrations are central to the product—and they put customer data and access controls squarely in scope for security reviews.

What needed fixing

As larger customers came on board, security questionnaires got longer and deals began to depend on formal controls. The team needed to get through SOC 2 without putting product delivery on hold.

• Enterprise Security Questionnaires: Customers like Bill.com, Postman, and Sentry required extensive security documentation; response times were stretching to 3+ weeks
• AI/ML Security Concerns: Their ContextGraph AI technology processed sensitive customer data, raising novel security questions about model training and data isolation
• Integration Sprawl: Deep integrations with Salesforce, HubSpot, Marketo, Snowflake, and BigQuery created complex data flows requiring comprehensive security controls
• Data Warehouse Access: Direct connections to customer data warehouses meant Inflection.io had access to highly sensitive business intelligence data
• Open Source Risk: Their MCP Server for Marketo needed security practices that wouldn't slow down community contributions
• SOC 2 Pressure: Multiple enterprise deals were contingent on achieving SOC 2 Type II certification within 6 months

What we changed

Inflection.io partnered with Gritt to build a security program that could satisfy enterprise requirements while supporting their rapid innovation pace. The engagement focused on data security, integration protection, and SOC 2 readiness.

Phase 1: Data Security Architecture (Weeks 1-6)

Establishing comprehensive data protection for the AI platform:

• Implemented tenant isolation for ContextGraph AI processing - customer data never co-mingles
• Deployed field-level encryption for sensitive CRM and marketing data
• Created data classification system with automated PII detection
• Built data retention policies with automated purging workflows
• Established audit logging for all data access across the platform

Phase 2: Integration Security (Weeks 4-10)

Securing the extensive ecosystem of enterprise integrations:

• Implemented OAuth 2.0 with token rotation for all CRM integrations
• Deployed secrets management for Salesforce, HubSpot, and Marketo credentials
• Created secure data pipeline architecture for Snowflake and BigQuery connections
• Built real-time monitoring for integration health and security anomalies
• Established vendor security assessment program for all integration partners

Phase 3: AI/ML Security (Weeks 6-12)

Addressing unique security requirements for AI-powered features:

• Implemented data isolation for ContextGraph model training - no cross-tenant data leakage
• Deployed prompt injection protection for AI-generated campaign content
• Created model versioning with security validation gates
• Built explainability logging for AI decisions affecting customer campaigns
• Established AI ethics review process for new feature development

Phase 4: SOC 2 Compliance (Weeks 8-16)

Achieving certification with minimal disruption to development velocity:

• Implemented all Trust Services Criteria controls with automation
• Created continuous compliance monitoring dashboards
• Deployed automated evidence collection for audit readiness
• Built security metrics reporting for leadership visibility
• Established vendor management program for third-party risk

Phase 5: Secure Development & Open Source (Weeks 10-14)

Building security into the development lifecycle:

• Implemented SAST/SCA scanning in CI/CD with developer-friendly feedback
• Created security guidelines for open-source MCP Server contributions
• Deployed dependency scanning with automated update PRs
• Built security champions program across engineering teams
• Established responsible disclosure program for community security reports

Technical Implementation

A key innovation was the "Integration Sandbox" architecture. When customers connect their Salesforce or data warehouse, Inflection.io creates an isolated processing environment with dedicated encryption keys. This ensures that even in a multi-tenant SaaS model, each customer's data remains cryptographically separated from other tenants.

For the AI/ML pipeline, Gritt helped implement differential privacy techniques in the ContextGraph training process. This allows the AI to learn patterns without memorizing specific customer data, addressing enterprise concerns about model training security while maintaining the personalization capabilities that make the platform valuable.

What changed

Six months into the engagement, the audit work was in place and the engineering team was still shipping throughout the day.

Looking Forward

Inflection.io continues to expand their platform capabilities with security as a foundational pillar:

• Pursuing ISO 27001 certification for European enterprise expansion
• Implementing GDPR-specific controls for EU customer data processing
• Building customer-facing security portal for real-time compliance visibility
• Expanding AI security practices for new agentic workflow features
• Developing FedRAMP pathway for government sector opportunities