Company's Solutions

Rescana provides an autonomous Third-Party Risk Management (TPRM) platform powered by agentic AI. The solution automates the full vendor risk lifecycle, from discovery and classification to risk assessment and remediation, eliminating manual and repetitive work.

Vendors are automatically classified based on business context, data access, and criticality, ensuring accurate scoping without relying on manual questionnaires or spreadsheets.

Rescana performs dynamic risk assessments by combining organizational policies, OSINT intelligence, and natural language analysis.
This enables fast, accurate risk scoring, even for vendors with limited or no online footprint, where traditional tools fail.

Agentic AI drives autonomous workflows that identify gaps, prioritize risks, and recommend remediation actions aligned with internal policies and compliance requirements.
Security teams receive clear, actionable insights instead of raw data.

The platform continuously monitors vendors for changes in risk posture, emerging threats, and external signals.
This allows organizations to move from point-in-time assessments to ongoing, real-time third-party risk management.

Rescana integrates seamlessly with existing security, GRC, and procurement processes, enabling security teams to scale TPRM programs without increasing headcount, while improving accuracy, coverage, and response times.

Prominent Case Study

Autonomous TPRM for a Top 10 Healthcare Organization

Customer Profile
One of the top 10 healthcare organizations operates a large and complex ecosystem that includes 14 hospitals, more than 1,400 clinics and medical centers, 90 dental clinics, and 820 pharmacies.
The organization employs over 48,000 people and serves approximately 5.4 million members, while managing relationships with more than 2,000 critical third-party suppliers.

Challenges
The organization faced a highly fragmented vendor landscape combined with heavy regulatory pressure, including HIPAA, PHI requirements, and local healthcare regulations.
A growing backlog of third-party risk assessments made it difficult to assess vendors on time, accurately tier them by risk, and maintain consistent oversight with limited security and compliance resources.
Additionally, the hospitals rotate ownership of the vendors in order to distribute the assessment workloads.

Rescana Impact
By implementing Rescana’s agentic AI-powered TPRM platform, the organization automated vendor classification and risk tiering, significantly accelerating third-party risk assessments and reducing the assessment backlog.
The security teams were able to assess over five times more vendors using the same team sizes, while maintaining alignment with healthcare regulatory requirements.
Rescana also provided centralized, continuous visibility into vendor risk across the entire ecosystem and natural language policy control to support the distributed nature of the assessments.