Autorisations excessives
Users, contractors, service accounts, applications, and AI agents often retain access beyond what their roles require.
Zero Trust • Least Privilege • Data Access Governance
BigID helps organizations enforce data-centric Zero Trust by discovering sensitive data, understanding who and what can access it, identifying excessive permissions, and monitoring how data is used across cloud, SaaS, on-prem, and AI environments.
Reduce exposure, enforce least privilege, detect risky activity, automate remediation, and extend Zero Trust controls across users, service accounts, applications, non-human identities, AI models, and agents.
The Zero Trust Challenge
Zero Trust requires more than authenticating users and devices. Organizations also need to understand where sensitive data lives, who and what can access it, how that access is being used, and whether permissions remain appropriate over time.
Users, contractors, service accounts, applications, and AI agents often retain access beyond what their roles require.
Sensitive data spans cloud, SaaS, on-premises, collaboration, development, and AI environments.
Identity tools can verify who signed in, but they may not reveal what sensitive data that identity can reach.
APIs, service accounts, automation, models, and AI agents introduce new access paths that require continuous oversight.
Zero Trust Foundation
Traditional Zero Trust focuses on verifying identities before granting access. Data-centric Zero Trust extends that model by continuously understanding the sensitivity of data, evaluating who and what can access it, monitoring how it is used, and enforcing least-privilege policies throughout the entire data lifecycle.
Automatically discover and classify sensitive, regulated, and business-critical data across cloud, SaaS, on-premises, and AI environments.
Connect identities, permissions, ownership, and data sensitivity to determine who and what can access your most valuable information.
Detect excessive permissions, risky behavior, policy violations, unusual activity, and emerging exposure as environments evolve.
Prioritize remediation, enforce least privilege, automate policy enforcement, and continuously reduce the organization's attack surface.
The Zero Trust Gap
Identity and network controls help determine whether an access request should be allowed. BigID adds the missing data context needed to understand what is being accessed, how sensitive it is, whether permissions are excessive, and what action should be taken.
Traditional Zero Trust
Verifies users, devices, sessions, and network conditions before granting access.
BigID Data-Centric Zero Trust
Connects identity, access, activity, sensitivity, ownership, and exposure to continuously reduce data risk.
Capacités de BigID
BigID extends Zero Trust beyond identity by combining sensitive data discovery, access intelligence, continuous monitoring, and automated remediation in one data-centric platform.
Discover and classify sensitive, regulated, and business-critical data across cloud, SaaS, on-premises, and AI environments.
Explore Discovery & Classification →Understand which users, applications, service accounts, and AI systems can access sensitive data and what they can do with it.
Explorez la gouvernance de l'accès aux données →Identify excessive permissions, stale access, orphaned accounts, broad entitlements, and risky sharing that increase data exposure.
Réduire les risques d'accès →Monitor how sensitive data is accessed and used across human identities, applications, service accounts, and AI agents.
Monitor Sensitive Data Access →Prioritize unnecessary access and support least-privilege enforcement using identity, permission, sensitivity, and risk context.
Appliquer le principe du moindre privilège →Trigger workflows, revoke inappropriate access, assign accountable owners, remediate exposure, and validate that risk was reduced.
See Remediation →Govern access for copilots, models, applications, non-human identities, and autonomous agents using data-centric Zero Trust controls.
Explorez la gouvernance de l'accès à l'IA →Measure sensitive data exposure, monitor remediation progress, demonstrate policy enforcement, and track Zero Trust posture over time.
Explore Data Security →Zero Trust Outcomes
BigID helps security, identity, compliance, IT, and data teams enforce data-centric Zero Trust, reduce unnecessary access, secure AI adoption, and continuously improve risk posture.
Find and eliminate excessive, stale, broad, and unnecessary access to sensitive, regulated, confidential, and high-value data.
Align permissions with business need across users, applications, service accounts, non-human identities, and AI agents.
Understand who and what can access sensitive data, how access was granted, and whether that access remains appropriate.
Prioritize the highest-risk access issues, automate remediation workflows, and validate that exposure was successfully reduced.
Apply Zero Trust controls to AI models, copilots, agents, applications, APIs, service accounts, and other machine identities.
Continuously monitor access, enforce policy, and produce audit-ready evidence for privacy, security, and regulatory requirements.
Questions fréquemment posées
Learn how BigID helps organizations implement a data-centric Zero Trust strategy that continuously protects sensitive data across cloud, SaaS, on-premises, and AI environments.
Data-centric Zero Trust extends traditional Zero Trust by continuously evaluating the sensitivity of data, who or what can access it, how it is being used, and whether that access should continue. Instead of focusing only on identities and devices, it protects the data itself.
BigID discovers sensitive data, classifies risk, analyzes permissions, identifies excessive access, monitors data activity, and automates remediation to help organizations continuously enforce Zero Trust principles.
Verifying an identity confirms who is requesting access, but it does not determine whether that identity should access sensitive data. Organizations also need visibility into data sensitivity, permissions, ownership, and actual usage to reduce unnecessary exposure.
Yes. BigID identifies over-permissioned users, stale access, orphaned accounts, risky sharing, and excessive permissions so security teams can prioritize remediation and enforce least privilege.
Yes. BigID helps govern access for AI assistants, copilots, agents, APIs, applications, service accounts, and other non-human identities to reduce data exposure as AI adoption grows.
BigID protects sensitive data across public cloud, private cloud, SaaS applications, on-premises systems, data lakes, databases, file shares, AI environments, and hybrid infrastructures.
Continuous discovery, classification, access monitoring, policy enforcement, and remediation help organizations demonstrate compliance with privacy and security regulations while reducing data risk.
Traditional Zero Trust solutions primarily focus on identity, authentication, and network controls. BigID adds the missing data layer by continuously understanding sensitive data, access risk, ownership, and exposure to enable true data-centric Zero Trust.
Confiance zéro
BigID helps teams discover sensitive data, understand access, eliminate excessive permissions, govern AI and non-human identities, and continuously reduce exposure.