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The Rising Threat of Non-Human Identities in Cloud Security
The invisible attack surface
LINKS OF THE WEEK
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☁️🔐 Cloud Security 2025 Predictions
Protecting Your Hybrid Cloud: The Future of Cloud Security in 2025 and Beyond (Darktrace)
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
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
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
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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