Manage third-party SaaS & AI risk without vendor input or manual data entry.
Manage third-party SaaS & AI risk without vendor input or manual data entry.
Manage third-party SaaS & AI risk without vendor input or manual data entry.
Third-party breaches at Vercel, Salesloft Drift, and LastPass reveal that an app’s connections to your own environment matter just as much as a vendor’s external security posture. Employees constantly connect apps to other systems, share sensitive data, and grant new access, creating an evolving risk surface that’s hard for security teams to monitor—and easy for attackers to exploit.
Inventory and triage your SaaS and AI on Day One with patented, perimeterless SaaS and AI discovery across multiple vantage points (workspace provider, browser, and connected apps).
Stay on top of risk across your SaaS and AI estate using proprietary risk intelligence, internal business context, security posture checks, and agentic AI.
Policy automation centers on risk-calibrated interventions that deliver policy and context to the right person at the right moment, in the browser, Slack, and Teams.
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Agentic AI and automated remediation workflows continually reduce risk at scale with security oversight and auditable reporting.
Risk is assessed during vendor procurement and treated as static, even as vendor posture, app usage, and access change.
Security teams lack visibility into shadow SaaS and AI, leaving many apps, integrations, and non-human identities outside risk-management processes.
Generic vendor scores are disconnected from internal context such as data sensitivity, authentication, OAuth grants, configurations, and compensating controls.
Teams manually investigate changing risks and struggle to determine which apps and control gaps require attention first.
Mitigating controls lag behind evolving risks, allowing new integrations, broader access, and changing app criticality to create unaddressed exposure.
SaaS and AI apps are continuously discovered and auto-tiered by criticality based on the scope of organizational adoption and the sensitivity of inferred data types.
Dynamic app risk scores combine vendor, supply-chain, and breach intelligence with each app’s internal usage, access, identity, integration, and control context.
Specific control gaps are continuously surfaced and ranked by their potential impact, showing security teams what to fix first.
Findings, remediation workflows, and recommended controls adapt as an app’s risk posture changes.
Policy-driven nudges and guided workflows engage the right app owner, administrator, or user to reduce risk at scale while preserving human oversight.
Common questions about Nudge Security's AI security governance solution
Adaptive risk management continuously adjusts how you prioritize and respond to third-party SaaS and AI risk as vendor posture, app usage, access, configurations, and connections change. Instead of treating risk as a one-time assessment, it keeps decisions and controls aligned with your current environment.
Nudge Security discovers SaaS and AI across multiple vantage points, including workspace providers, browsers, and connected apps. It continuously inventories apps, instances, owners, users, integrations, AI agents, browser extensions, and spend.
Nudge Security automatically tiers apps as critical, high, medium, or low based on organizational adoption and 29+ inferred data types. This helps security teams focus first on the apps that matter most to the business.
App risk scores continuously combine 30+ internal and external factors, including vendor and breach intelligence, business criticality, data access, identity relationships, integrations, security configurations, and compensating controls.
No. Nudge Security can discover, prioritize, and continuously recalculate app risk without vendor cooperation, manual data entry, or prior knowledge that an app is in use.
Nudge Security ranks control gaps by potential impact, recommends risk-calibrated actions, and routes remediation to the right app owner, administrator, or user. Policy-driven nudges and guided workflows help teams reduce risk at scale while preserving human oversight.
Yes. Nudge Security discovers AI agents, OAuth grants, API keys, service accounts, MCP servers, browser extensions, and other emerging connections. It also surfaces risky configurations and can prompt account or agent creators to confirm intent and remediate issues.
