Protecting Non-Human Identities: Best Practices Against Infostealers

Executive Summary

As the threat landscape evolves, infostealers are expanding their focus beyond human identities to target non-human identities—vulnerable workloads, applications, and services in cloud-native environments. This shift emphasizes the critical need for robust security measures to protect these non-human identities from sophisticated cyberattacks. The rise in cloud architecture and microservices has facilitated the proliferation of non-human identities, making them attractive targets for attackers exploiting malware and phishing tactics. This article by Aembit outlines best practices for safeguarding non-human identities against infostealers, ensuring a resilient cybersecurity posture in modern digital infrastructures.

 Read the full article from Aembit here for comprehensive insights.

Main Highlights

The Evolving Threat of Infostealers

• Infostealers have transitioned from targeting human credentials to increased attacks on non-human identities, such as API keys and secrets.
• Malware-as-a-service (MaaS) has enabled criminals to access infostealing tools easily, which increases overall risk.

The Importance of Non-Human Identity Security

• The rapid growth in the use of microservices and automation necessitates a focus on protecting non-human identities.
• Non-human identities often run critical operations, making their security essential for maintaining business continuity.

Best Practices for Protecting Non-Human Identities

• Implement multi-factor authentication (MFA) whenever possible to add an extra layer of security.
• Regularly audit and review access controls, limiting permissions to only what is necessary.
• Utilize monitoring tools to detect anomalies in access patterns that may indicate unauthorized use.

By adhering to these strategies, organizations can mitigate risks and strengthen their defenses against the growing threat posed by infostealers in today’s digital landscape.

 Explore more insights and the complete analysis from Aembit here.