Nudge Security Shifts SaaS Risk Oversight from Annual Audits to Real-Time

Most enterprises manage only 30% to 40% of the software actually in use, leaving a significant portion of the attack surface invisible to security teams. Traditional risk tools fail to account for how applications change over time, such as when employees link new AI agents or grant broad data access to third-party integrations. According to the 2026 Verizon Data Breach Investigations Report, third-party involvement in security incidents has surged 60% year-over-year, now accounting for nearly half of all breaches.

Nudge Security aims to bridge this gap by combining vendor security profiles with internal usage data. The platform automatically tiers application criticality using AI models that identify 29 distinct data types, while dynamic risk scores update based on over 30 factors—including OAuth grant status and authentication methods. This allows teams to mitigate risk as it emerges rather than waiting for annual reviews. By implementing controls like SSO and MFA, companies can potentially reduce residual risk by up to 60%. The system draws from a self-populating database of 250,000 vendor profiles, enabling assessment the moment an application appears in an environment without requiring manual input or vendor cooperation.