Executive Summary
In today’s digital landscape, organizations often manage more bots or non-human identities (NHIs) than human users. Effective access governance requires understanding each machine identity, the ownership, and access permissions associated with it. By implementing an access graph that models various NHI types across multiple platforms, businesses can enhance security and clarify ownership of these identities. This structured approach allows organizations to mitigate risks and ensure compliance with auditing standards.
Read the full article from Veza here for comprehensive insights.
Main Highlights
Understanding Non-Human Identities
- Non-human identities represent machine identities, including bots and applications, which can outnumber human users in companies.
- Effective identification of NHIs aids in managing permissions and understanding ownership across diverse systems.
The Role of Access Graphs
- An access graph serves as a framework, modeling over 90 types of NHIs across various environments including cloud, SaaS, and CI/CD pipelines.
- This graph allows businesses to analyze permissions and ownership to maintain robust security protocols.
Consistency Across Systems
- Consistency in classification of identities ensures that organizations can reliably assess what each identity can do across different systems.
- Defined permissions enhance accountability and enable streamlined audits for compliance verification.
Cutting Down Standing Privileges
- Implementing a structured approach allows organizations to reduce unnecessary standing privileges tied to NHIs.
- This strategy ensures better management of resources and strengthens overall security posture.
Auditing and Control
- Explainable permissions enable companies to demonstrate robust control measures to auditors and insurers, facilitating compliance efforts.
- Understanding NHI behavior through access graphs promotes better decision-making and risk mitigation.
Access the full expert analysis and actionable security insights from Veza here.