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The Rising Threat of Non-Human Identities in Cloud Security

The invisible attack surface

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  • Watch Out For These 8 Cloud Security Shifts in 2025 (The Hacker News)

  • Key Cloud Security Predictions for 2025: What to Expect and How to Prepare (Orca Security)

  • Forecasting the 2025 Cloudscape (Palo Alto)

DEEP DIVE

The Rising Threat of Non-Human Identities in Cloud Security: Securing the Invisible Attack Surface

As cloud environments grow increasingly complex, non-human identities (NHIs) have emerged as one of the most critical—and overlooked—security challenges of 2025. These machine-to-machine credentials, including API keys, service accounts, tokens, and cloud workload identities, now outnumber human identities by as much as 45:1 in enterprise environments. With 20% of organizations already reporting NHI-related security incidents, this invisible attack surface demands urgent attention.

The NHI Explosion: Why Machines Now Dominate Cloud Ecosystems

The Role of NHIs in Modern Cloud Architectures

NHIs enable critical functions in cloud-native environments:

  • Microservices communication: A single application might involve thousands of API keys for inter-service authentication

  • Automated workflows: DevOps pipelines rely on service accounts to deploy resources across AWS, Azure, and GCP

  • AI/ML operations: Machine learning models require privileged access to training data and inference endpoints

  • Container orchestration: Kubernetes service accounts managing pod-to-pod communication and resource access

  • Event-driven architectures: Serverless functions using managed identities for cross-service triggers

The shift to multi-cloud strategies has accelerated NHI growth, with 76% of enterprises using ≥2 cloud providers. However, 35% of organizations have >10% of IAM roles inactive for 90+ days, creating exploitable blind spots.

Emerging NHI Attack Vectors in 2025

1. Credential Leakage Epidemic

  • 44% of NHI tokens are exposed in collaboration tools like Slack/Teams

  • 70% of organizations leak API keys in public code repositories

  • Rising trend of sophisticated scraping tools targeting internal wikis and documentation

  • Emergence of Dark Web marketplaces specifically trading compromised cloud credentials Recent Incident: Schneider Electric's 40GB data breach via compromised Jira API credentials

2. AI-Powered NHI Enumeration

Attackers now use machine learning to:

  • Identify inactive NHIs through behavioral analysis

  • Predict secret rotation patterns (e.g., AWS key rotation cycles)

  • Generate synthetic credentials that bypass regex-based detection

  • Exploit natural language processing to discover credentials in code comments

  • Automate lateral movement through identity relationship mapping

3. Supply Chain Compromises

  • 38% lack visibility into third-party OAuth integrations

  • Attackers increasingly target CI/CD pipelines to inject malicious NHIs

  • Rising threats from compromised NPM/PyPI packages with hidden identity theft capabilities

  • Sophisticated attacks targeting managed service providers' identity federation systems

Four Pillars of NHI Security Modernization

1. Discovery & Classification

  • Implement automated NHI mapping across:

    • Cloud platforms (AWS IAM Roles, Azure Service Principals)

    • Code repositories (GitHub Actions tokens, Terraform credentials)

    • SaaS applications (OAuth 2.0 client secrets)

    • Kubernetes clusters (Service Account tokens, admission controller webhooks)

    • Edge computing environments (IoT device credentials) Tool Example: Entro Security's NHI Detection & Response (NHDR) platform

2. Least Privilege Enforcement

# AWS IAM Policy Example for ML Service Account
{
  "Version": "2025-02-16",
  "Statement": [{
    "Effect": "Allow",
    "Action": [
      "s3:GetObject",
      "dynamodb:Query"
    ],
    "Resource": [
      "arn:aws:s3:::ml-training-data/*",
      "arn:aws:dynamodb:us-east-1:123456789012:table/ModelMetadata"
    ],
    "Condition": {
      "IpAddress": {"aws:SourceIp": "192.0.2.0/24"},
      "Bool": {"aws:MultiFactorAuthPresent": "true"},
      "StringEquals": {"aws:RequestedRegion": "us-east-1"},
      "NumericLessThan": {"aws:TokenAge": "3600"}
    }
  }]
}

Best Practice: 92% of NHIs have excessive privileges—implement just-in-time access

3. Behavioral Monitoring with AI

  • Establish baselines for:

    • API call frequency

    • Geographic access patterns

    • Data egress volumes

    • Resource creation/deletion rates

    • Cross-service interaction patterns Case Study: Cloudflare mitigated NHI abuse by correlating Vault logs with WAF telemetry

4. Secrets Lifecycle Automation

  • Rotate credentials based on risk scores

  • Integrate with HashiCorp Vault/AWS Secrets Manager for ephemeral credentials

  • Implement chaos engineering for credential rotation resilience

  • Automate secret distribution through secure CI/CD pipelines

  • Monitor secret entropy to detect weak or predictable credentials

The Compliance Frontier: NHIs Enter Regulatory Spotlight

2025 Regulatory Shifts

  • PCI DSS 4.0: Requires NHI inventory and session timeout policies

  • GDPR Article 35a: Mandates NHI risk assessments for data processors

  • SEC Cybersecurity Rules: Public companies must disclose material NHI breaches

  • NIST SP 800-207A: Zero Trust guidelines for machine-to-machine authentication

  • ISO/IEC 27002:2025: Updated controls for cloud service identity management

Enforcement Trend: 68% of organizations now face NHI-related audit findings

Future Outlook: NHI Security in the Post-Quantum Era

  1. Quantum-Resistant NHIs

    • Lattice-based cryptography emerges to protect API keys

    • Implementation of NIST-approved post-quantum algorithms

    • Hybrid classical-quantum authentication schemes

    • Quantum key distribution for high-security NHI communication

  2. AI Agent Governance Autonomous systems will require:

    • NHI provenance tracking via blockchain

    • Federated learning guardrails for model access

    • Real-time credential risk scoring using transformer models

    • Autonomous identity lifecycle management

    • Self-healing credential rotation mechanisms

  3. Unified NHI/Human IAM

    • Platforms converging Okta/SailPoint with NHI managers

    • Behavioral biometrics for machine identity verification

    • Cross-platform identity governance frameworks

    • Zero-trust microsegmentation for hybrid identities

    • AI-driven access review and certification

Conclusion: Turning the Tide on NHI Risks

The NHI security gap represents both a critical vulnerability and an opportunity for innovation. Organizations prioritizing:

  • Continuous NHI discovery via ML

  • Policy-as-code enforcement

  • Cross-team NHI literacy programs

  • Quantum-ready identity architectures

  • Automated compliance monitoring

will be best positioned to harness cloud scalability while maintaining trust. Organizations with mature NHI programs reduce breach costs by 63% compared to peers. In the machine-dominated future of cloud computing, securing NHIs isn't optional—it's existential.

"The next wave of cloud breaches won't target people—they'll exploit the machines we forgot to protect." — Bar Kaduri, Cloud Threat Research Lead, Orca Security

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