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Hardening serverless cloud functions against lateral movement and AI risks

Feeds.4Sysops •IT News • July 16, 2026

Publicly exposed serverless cloud functions, such as Google Cloud Run, have become a critical attack surface for harvesting secrets and pivoting to internal resources. These environments often run custom code with third-party packages vulnerable to command injection and file inclusion attacks. The risk is currently amplified by the rapid adoption of generative AI workflows, which frequently rely on unauthenticated serverless functions to process user tasks. Source

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Exposed Serverless Functions Present New Cybersecurity Risks Google's Mandiant has issued a warning about exposed serverless cloud functions, which are increasingly targeted by attackers due to their lack of authentication. These vulnerabilities allow access to sensitive information and can lead to broader cloud environment compromises. The rise of generative AI workflows, which often utilize these serverless functions, has exacerbated the issue. Attackers exploit vulnerabilities such as command injection and file inclusion to gain initial access. Once inside, they can escalate privileges and exfiltrate sensitive credentials. Mandiant recommends implementing security measures like code reviews and least-privilege access management to mitigate these risks. Organizations are urged to isolate AI experimentation and restrict public-facing services to enhance security. The current landscape indicates a significant rise in such attacks, necessitating immediate action from affected organizations. 2 sources 69

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Hardening serverless cloud functions against lateral movement and AI risks

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Attack Types (2)

CWE Weaknesses (1)

MITRE ATT&CK (2)

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