The same graph-based reasoning architecture powers every DSS we build. Directed Acyclic Graphs with Bayesian reasoning layers, production ML models, and deterministic scoring that traces every answer back to its source.
Enterprise Security Intelligence
Vulnerabilities don't matter one at a time. They chain together into multi-step attacks. AuditROI scans your external attack surface, maps those chains across 422,000+ patterns, and predicts which threats will be exploited next — using 507M+ threat intelligence records.
Regulatory Compliance Intelligence
Regulatory obligations cascade just like vulnerabilities. A single compliance failure can trigger enforcement across dozens of dependent rules. AuditDSS decomposes regulatory text into atomic obligations, builds dependency graphs, and computes cascade probabilities from real enforcement data.
Replaces a $15,000+ consultant engagement with automated, probabilistic risk assessment. Compliance gap analysis previously available only to large enterprises, now accessible at $199/month.
Visit auditdss.comPurpose-built infrastructure that powers all our platforms and works as standalone products.
Uses relational database structures to optimise how document chunks are sized, overlapped, and retrieved. 40% fewer tokens consumed and significantly higher retrieval accuracy compared to standard RAG.
The graph reasons, the AI communicates. Hallucination is architecturally impossible at the decision layer because every reasoning step follows a scored graph. Enables self-verifying policy generation and autonomous compliance analysis.
Both products are built on the same underlying graph-based reasoning engine. AuditROI was built first for cybersecurity — modelling how vulnerabilities chain into multi-step attacks. AuditDSS then applied the same engine to regulatory compliance, modelling how obligation failures cascade through dependent rules. Each new vertical takes weeks to adapt, not months to build from scratch.
Most tools find individual issues and list them. Our engine models how issues connect and cascade — attack chains in security, obligation dependencies in compliance. We use production ML models and Bayesian networks to score cascade probabilities, not LLMs making predictions. Every score is deterministic, auditable, and traces back to its source.
ContextROI is our internal context retrieval engine that powers both platforms. It uses relational database structures to optimise how document chunks are sized, overlapped, and retrieved — achieving 40% fewer tokens consumed and significantly higher retrieval accuracy compared to standard RAG approaches. It also works as a standalone product for teams building AI products.
ReasonROI is our deterministic agentic reasoning layer, currently in development. The graph reasons, the AI communicates. Hallucination isn't just reduced — it's architecturally impossible at the decision layer, because every reasoning step follows a scored graph, not a language model prediction. This enables capabilities like self-verifying policy generation.
Yes. Both AuditROI and AuditDSS offer enterprise tiers with expanded limits, dedicated support, and custom integrations. Contact ali@questfeed.com to discuss enterprise requirements.
Both platforms are live and self-serve. Try a free scan or contact us for enterprise licensing.