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Secret Sprawl and Non-Human Identities: The Growing Security Challenge

Discover NHI sprawl vulnerabilities and how Cremit's detection tools safeguard your organization from credential exposure. Learn to manage NHI risks.

As infrastructure complexity grows exponentially, organizations face an ever-expanding security threat that often goes unnoticed until it's too late: secret sprawl. As our infrastructure becomes increasingly complex and automated, the problem has evolved beyond just managing passwords to encompass a broader challenge known as Non-Human Identity (NHI) sprawl. This blogpost explores the nature of this security challenge and how detection tools like Cremit can help mitigate the associated risks.

Understanding Secret Sprawl: The Hidden Threat

Secret sprawl refers to the uncontrolled distribution and storage of sensitive credentials across various locations within an organization's infrastructure and development lifecycle. These secrets include passwords, API keys, encryption keys, SSH keys, certificates, and other confidential data required for authentication and authorization.

This often manifests as database usernames and passwords hard-coded into source code, plaintext credentials in configuration files, secrets in version control systems, and sensitive information scattered across wikis, shared drives, and messaging platforms.

The scale of this problem is staggering. Reports from 2021 identified up to 6 million secrets exposed in public repositories, marking a 50% increase from the previous year. Even more concerning, over 90% of these leaked secrets remained valid five days after exposure, creating a persistent vulnerability.

From Secret Sprawl to NHI Sprawl

The challenge has expanded beyond traditional secrets to include what security experts refer to as "NHI sprawl" (Non-Human Identity sprawl). This encompasses the proliferation of tokens, API keys, service accounts, and other credentials used by machines and automated processes.

In modern cloud-native environments, non-human identities often outnumber human users by a significant margin. Each microservice, container, serverless function, and automated workflow requires its own set of credentials to function. As cloud adoption accelerates and infrastructure becomes more distributed, the number of these machine identities continues to multiply exponentially.

The Risks of Unmanaged NHI Sprawl

The consequences of poorly managed non-human identities are severe:

  1. Expanded Attack Surface: Each undocumented credential represents a potential entry point for attackers. With thousands of machine identities across an organization, this creates a vast attack surface.
  2. Visibility Challenges: Organizations often struggle to maintain an accurate inventory of all their non-human identities. Many security teams don't actually know what credentials exist or where they're stored.
  3. Remediation Difficulties: When a breach occurs, organizations often cannot easily identify which credentials were compromised or how to effectively rotate them.
  4. Significant Financial Impact: Data leaks resulting from compromised credentials cost organizations an average of $4.35 million in 2022, according to industry reports.
  5. Scalability Issues: Secret sprawl is a problem that only gets worse over time, eventually hindering organizational growth and agility.

Common Causes of NHI Sprawl

Several factors contribute to the proliferation of non-human identities:

  1. Quick Fixes That Become Permanent: Developers often hardcode credentials during testing or prototype development, which then find their way into production environments.
  2. Lack of Centralized Management: Without a dedicated system for managing machine identities, they accumulate across various platforms and repositories.
  3. Cloud Adoption: Accessing cloud resources requires secrets, and each secret represents a potential security risk, making multi-cloud environments particularly vulnerable.
  4. Version Control Exposure: Despite being strongly advised against, credentials continue to be stored in version control systems. Even when removed, Git's history preserves a record of these secrets.
  5. Orphaned Credentials: When developers leave an organization or projects are completed, associated credentials often remain active because no one knows to revoke them.

How Cremit Can Help Solve Secret Sprawl

Addressing NHI sprawl requires a multi-faceted approach, with secret detection playing a crucial role. Cremit offers several capabilities that can significantly reduce the risks associated with secret sprawl:

1. Automated Secret Scanning

Cremit continuously scans your codebase, infrastructure configurations, and deployment pipelines to identify exposed secrets. This automation ensures that even as your environment grows, new instances of credential exposure are quickly detected.

Secret scanning is a critical component in your security stack and the only way to stop human error from causing secrets to leak.

2. Pre-commit Hooks and CI/CD Integration

By integrating Cremit into your development workflow through pre-commit hooks and CI/CD pipelines, you can prevent secrets from being committed in the first place. This shift-left approach addresses the problem at its source, reducing the need for remediation later.

3. Comprehensive Detection Capabilities

Cremit is designed to identify a wide range of secret types, from standard API keys to custom formats specific to your organization. This comprehensive approach ensures that even as the nature of your credentials evolves, detection capabilities keep pace.

4. Contextual Analysis

Cremit doesn't just identify potential secrets but also analyzes the context in which they appear. This reduces false positives and helps prioritize remediation efforts based on the potential impact of exposure.

5. Remediation Guidance

When secrets are detected, Cremit provides actionable guidance on how to properly secure them, including recommendations for rotation, revocation, and origin.

Implementing a Comprehensive NHI Security Strategy

Secret detection serves as the foundation for a robust NHI security strategy:

  1. Centralized Secret Management: Implement a dedicated Key Management System that provides secure storage, fine-grained access controls, audit logs, and rotation capabilities.
  2. Adopt Least Privilege Principles: Ensure non-human identities have only the minimum permissions necessary to perform their functions.
  3. Regular Rotation and Revocation: Implement automated processes for regularly rotating credentials and immediately revoking those that are no longer needed.
  4. Developer Education: Train developers on secure coding practices and the risks associated with hardcoding credentials.
  5. Monitoring and Alerting: Implement continuous monitoring for credential usage and establish alerts for suspicious activities.

In Summary

As organizations continue to embrace cloud-native architectures and automation, the challenge of managing non-human identities will only grow more complex. Secret sprawl, and its evolution into NHI sprawl, represents a significant but often overlooked security risk.

By implementing Cremit for automated secret detection, combined with comprehensive credential management practices, organizations can significantly reduce their attack surface and build more resilient security postures. The key is to approach the problem holistically, addressing both the technical and organizational factors that contribute to credential sprawl.

Ready to Secure Your Non-Human Identities?

Don't wait for a breach to expose your secret sprawl problem. Take action now to protect your organization's confidential data.

Start Using Cremit Today – Begin your journey to secure non-human identity with our powerful detection platform.

Schedule a Demo – See firsthand how Cremit can identify and help remediate secret sprawl in your environment.

Contact our security experts today to learn how Cremit can transform your approach to credential security and help you build a more resilient organization.

Unlock AI-Driven Insights to Master Non-Human Identity Risk.

Go beyond basic data; unlock the actionable AI-driven insights needed to proactively master and mitigate non-human identity risk

A dark-themed cybersecurity dashboard from Cremit showing non-human identity (NHI) data analysis. Key metrics include “Detected Secrets” (27 new) and “Found Sensitive Data” (58 new) from Jan 16–24, 2024. Two donut charts break down source types of detected secrets and sensitive data by platform: GitHub (15k), GetResponse (1,352), and Atera (352), totaling 16.9k. The dashboard includes a line graph showing trends in sensitive data over time, and bar charts showing the top 10 reasons for sensitive data detection—most prominently email addresses and various key types (API, RSA, PGP, SSH).

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