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How 10M AI call center stolen identities could change your cybersecurity policy

  • A multi-stage cyberattack exploited vulnerabilities in a call center's AI infrastructure, involving Typosquatting on PyPI, backdoor deployment in API Gateway, and S3 bucket hijacking for data exfiltration.
  • The attack led to the compromise of build servers, lateral movement into the API Gateway through forged admin JWT tokens, and exfiltration of over 10 million call records within hours.
  • Protection measures include implementing zero-trust for ML pipelines, hardening API Gateways, securing cloud storage, and preparing for AI-specific threats with incident response playbooks.
  • The breach highlights the increasing targeting of AI infrastructure by cybercriminals, emphasizing the need to shift to zero-trust architectures, integrate security into every component, and automate audits using relevant tools.

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