Rajiv Pant
Founder & CEO
TrustGuardAI
TrustGuardAI offers an AI‑driven platform that automatically ingests and parses evidence from SaaS tools and document repositories, mapping it to security frameworks such as SOC 2 and ISO 27001. The system verifies claims, highlights gaps, and generates audit‑ready findings with risk scores, helping security, compliance, and risk teams streamline third‑party and internal audit processes.
- Artificial Intelligence
- AI Agents
- Data & Analytics
- Cybersecurity
- Enterprise Software
Updated 6 months ago
Funding
Funding rounds are not available yet.
Founders
Elena Kvochko
Co-founder & CTO
Product
Problem
Organizations managing third‑party risk must collect and verify evidence from a wide array of tools and documents (SOC reports, policies, cloud configurations, etc.), a process that is manual, time‑consuming, and prone to gaps or inconsistencies.
Solution
TrustGuard provides an AI‑driven platform that automatically ingests evidence from existing SaaS tools and document repositories, parses the content, and maps it to security frameworks. The system verifies claims against the ingested data, highlights missing or contradictory information, and generates audit‑ready findings with severity ratings and reference links. By centralizing evidence collection and analysis, TrustGuard reduces manual effort, improves coverage across control areas, and delivers consistent, actionable risk assessments for third‑party and internal audits.
Target Audience
Primary customers are security, compliance, and risk‑management teams in enterprises that need to assess third‑party vendors and internal controls against standards such as SOC 2, ISO 27001, and privacy regulations.
Features
- Automated ingestion of policies, attestations, SOC reports, pen‑test results, and cloud configuration data from over 750 integrations (e.g., AWS, GitHub, Salesforce, Kubernetes, Azure)
- Agentic AI engine that parses documents, extracts relevant controls, and verifies claims against the full evidence set
- Real‑time risk scoring with percentages for verified, warning, and gap categories across multiple control domains
- Generation of audit‑ready outputs including findings, severity levels, evidence trails, and reference counts per control
- Dashboard view of coverage metrics (e.g., encryption at rest, access controls, incident response) with visual summaries
- Exportable reports compatible with common compliance frameworks (SOC 2, ISO 27001, etc.) for downstream review