Alleged AI-Powered Call Center Breach Exposes Over 10 Million Conversations in the Middle East
Description
An AI-powered call center platform in the Middle East reportedly experienced a significant data breach, allegedly exposing over 10 million conversations between consumers, operators, and AI agents. Attackers allegedly accessed the platform’s management dashboard, stealing sensitive data, including national ID documents. The breach poses reported risks such as phishing, identity theft, and social engineering attacks. The stolen data was reportedly listed for sale on the dark web.
Actors
Alleged Deployers
- cybercriminals
Alleged Developers
- unnamed-ai-call-center-platform-provider
Harmed Parties
- privacy
- enterprise-clients
- end-users-of-undisclosed-middle-eastern-ai-powered-cloud-call-center-platform
Classification
Risk Domain
Privacy & SecurityRisk Subdomain
2.1. Compromise of privacy by obtaining, leaking or correctly inferring sensitive information
MIT Risk Profile
Topics
Source
Related Incidents (Privacy & Security)
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Explainable Artificial Intelligence Applications in Cyber Security: State-of-the-Art in Research
LineVD: Statement-level Vulnerability Detection using Graph Neural Networks
TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems
Mitigation Tools
Tools related to this risk domain, via shared responsible AI topics.
Open Source
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PySyft
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FATE
FederatedAI/FATE
An Industrial Grade Federated Learning Framework
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adversarial-robustness-toolbox