Non-Human Identity Security • Discover • Govern • Reduce Risk
Discover and govern service accounts, APIs, workloads, applications, bots, AI agents, copilots, and autonomous systems based on the sensitive data they can access.
BigID connects non-human identities, permissions, activity, and data sensitivity so security teams can identify exposure, prioritize risk, reduce excessive access, and enforce least privilege.
Identify APIs, service accounts, workloads, applications, automation, and AI identities across the enterprise.
Connect machine identities and permissions to the sensitive, regulated, and high-value data they can reach.
Prioritize excessive access, strengthen least privilege, and reduce machine-driven data exposure.
The Non-Human Identity Challenge
Non-human identities increasingly access enterprise infrastructure, applications, APIs, cloud services, AI systems, and sensitive data without direct human interaction.
Security teams need visibility into which machine-driven identities exist, what sensitive data they can reach, where permissions create exposure, and how AI agents interact with enterprise systems.
What Is Non-Human Identity Security?
Non-human identity security is the practice of discovering, monitoring, governing, and reducing risk from machine-driven identities that access enterprise systems and sensitive data.
Unlike human identities, non-human identities often operate continuously and automatically. Service accounts, APIs, workloads, applications, bots, scripts, AI agents, copilots, and autonomous systems can access data without direct human interaction.
BigID adds the missing data context by connecting each identity to its permissions, activity, and the sensitive information behind that access so teams can understand which machine identities create real business risk.
An autonomous identity with broad export access to regulated customer data should be prioritized differently than one accessing low-risk operational information.
Machine identities can take many forms across modern cloud, application, automation, and AI environments.
Expanding Attack Surface
Machine-driven access is expanding faster than traditional identity controls can govern it.
AI + Automation
AI agents, copilots, APIs, applications, and autonomous workflows continuously interact with enterprise systems and data.
Data Context
Security teams cannot prioritize NHI risk without understanding which machine identities can reach sensitive or regulated data.
Agentic AI
AI systems can retrieve, summarize, analyze, and move sensitive information across enterprise environments without continuous human involvement.
Data-Aware NHI Security
Connect non-human identities to sensitive data context so teams can understand exposure, prioritize risk, and take action.
Find regulated, confidential, and high-value data across cloud, SaaS, AI, and hybrid environments.
Explore Data Discovery → 02Connect APIs, service accounts, workloads, applications, and AI agents to the sensitive data they can access.
Explore Access Governance → 03Focus remediation on non-human identities that can reach sensitive, regulated, or business-critical information.
Explore Least Privilege → 04Identify unnecessary permissions and strengthen least privilege across machine-driven workflows.
Reduce Excessive Access → 05Understand how AI agents, copilots, and autonomous systems interact with sensitive enterprise data.
Explore AI Security → 06Track risky access patterns across non-human identities, applications, users, and AI systems.
Explore Data Detection & Response →Identity Security Reframed
Permissions tell you who or what has access. Data context tells you whether that access creates meaningful risk.
Operationalize NHI Security
Identify which AI agents and copilots can retrieve or expose sensitive enterprise data.
Find non-human identities with permissions that exceed legitimate business need.
Connect API access and activity to sensitive data exposure across enterprise environments.
Understand how machine-driven workflows interact with regulated and confidential information.
Focus remediation on non-human identities that create the greatest data and business risk.
Shared Risk. Shared Context.
Detect unmanaged NHIs, reduce excessive access, and prioritize exposure tied to sensitive data.
Govern service accounts, APIs, workloads, bots, and AI agents with data-aware access context.
Reduce standing access, lateral movement risk, and shadow machine access across cloud environments.
Understand how AI agents, copilots, and autonomous systems interact with sensitive enterprise data.
Identify machine access to regulated data and strengthen least privilege and audit readiness.
Gain visibility into machine access across workloads, applications, containers, pipelines, and automation.
Reduce exposure from unmanaged tokens, over-permissioned workloads, automation, and long-lived machine access.
Prioritize What Matters
Non-human identity risk depends on what sensitive data machine-driven systems can actually access.
An API connected to low-risk systems and an AI agent connected to regulated customer information do not create the same exposure. Data context helps teams understand the difference.
AI agent can export regulated customer data.
Learn • Evaluate • Take Action
Connect identity intelligence with sensitive data context to detect risk and reduce exposure.
Go Deeper → Data Access GovernanceUnderstand who and what can access sensitive data and where permissions create unnecessary exposure.
Go Deeper → Machine Identity SecuritySecure service accounts, APIs, workloads, applications, and machine identities based on sensitive data exposure.
Go Deeper →Frequently Asked Questions
Non-human identity security protects and governs machine-driven identities, including service accounts, APIs, workloads, applications, bots, AI agents, copilots, and autonomous systems.
Non-human identities can continuously access enterprise systems and sensitive data without direct human oversight. Securing them helps organizations identify excessive access, reduce hidden exposure, and strengthen least privilege.
Non-human identity risk is the exposure created when machine-driven identities can access sensitive data, applications, or systems beyond what they need to perform their intended function.
AI agents can retrieve, process, summarize, and move sensitive data at machine speed. Autonomous access can increase exposure when permissions are excessive or organizations lack visibility into the data those agents can reach.
BigID connects non-human identities to sensitive data context so organizations can identify exposure, prioritize risk, reduce excessive permissions, strengthen least privilege, and govern AI-driven access.
Non-Human Identity Security
AI agents, APIs, workloads, service accounts, and autonomous systems already interact with sensitive enterprise data. BigID helps teams discover exposure, prioritize non-human identity risk, and reduce excessive access with data-aware context.
