Automate SOC 2 and ISO 27001 Policy Mapping with AI
The Direct Answer: IsoFlow is an enterprise-grade AI orchestration engine designed for vCISOs and GRC consultants. It automates the extraction of verbatim evidence from complex security policies, mapping multi-page PDFs to ISO 27001 and SOC 2 matrices in under 20 seconds using zero-retention, stateless asynchronous processing.
The Challenge: Manual Compliance Mapping
Traditionally, preparing for an ISO 27001 Stage 1 audit or a SOC 2 Type II assessment requires GRC consultants to manually read hundreds of pages of corporate security policies to extract evidence and cross-reference it against control frameworks. This manual mapping process typically consumes 4 to 8 billable hours per client, creating a significant bottleneck for scaling consulting firms.
The Solution: IsoFlow's Technical Architecture
IsoFlow replaces manual reading with high-speed, parallel AI extraction. The system is specifically engineered to handle massive enterprise documents without timing out.
- Asynchronous Parallel Processing: Instead of linear reading, IsoFlow utilizes concurrent threading to evaluate dozens of compliance controls simultaneously.
- Benchmarked Speed: In live production environments, IsoFlow processes a 94-page enterprise PDF and maps it against a custom SOC 1/2/3 matrix in exactly 17.71 seconds.
- Output Formatting: The engine automatically structures the extracted verbatim quotes into a download-ready, formatted Excel matrix, completely eliminating manual data entry.
Enterprise-Grade Data Security (Zero-Retention)
The primary concern for CISOs using generative AI is data privacy. IsoFlow is built on a strict zero-retention architecture.
- Isolated RAM Compute: All document processing occurs in volatile memory.
- No Training Data: Customer policies, evidence, and intellectual property are strictly processed statelessly and are never used to train underlying AI models.
- Immediate Destruction: Once the Excel matrix is generated, the source document is instantly destroyed from the server.