AI-Specific Attack Vectors Exploit Gaps in Traditional Security Frameworks
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In 2024 and 2025, several high-profile incidents demonstrated that traditional security frameworks fail to address AI-specific threats. The Ultralytics AI library was compromised in December 2024, malicious Nx packages leaked credentials in August 2025, and ChatGPT vulnerabilities allowed unauthorized data extraction. These incidents highlight that existing frameworks like NIST CSF, ISO 27001, and CIS Controls do not cover AI-specific attack vectors such as prompt injection, model poisoning, and AI supply chain attacks. The lack of AI-specific guidance in these frameworks leaves organizations vulnerable despite meeting compliance requirements. Security teams need to implement new technical capabilities and build specialized knowledge to defend against these evolving threats.
Timeline
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29.12.2025 08:34 1 articles · 23h ago
AI-Specific Attack Vectors Exploit Gaps in Traditional Security Frameworks
In 2024 and 2025, several high-profile incidents demonstrated that traditional security frameworks fail to address AI-specific threats. The Ultralytics AI library was compromised in December 2024, malicious Nx packages leaked credentials in August 2025, and ChatGPT vulnerabilities allowed unauthorized data extraction. These incidents highlight that existing frameworks like NIST CSF, ISO 27001, and CIS Controls do not cover AI-specific attack vectors such as prompt injection, model poisoning, and AI supply chain attacks. The lack of AI-specific guidance in these frameworks leaves organizations vulnerable despite meeting compliance requirements. Security teams need to implement new technical capabilities and build specialized knowledge to defend against these evolving threats.
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- Traditional Security Frameworks Leave Organizations Exposed to AI-Specific Attack Vectors — thehackernews.com — 29.12.2025 08:34
Information Snippets
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In December 2024, the Ultralytics AI library was compromised, installing malicious code for cryptocurrency mining.
First reported: 29.12.2025 08:341 source, 1 articleShow sources
- Traditional Security Frameworks Leave Organizations Exposed to AI-Specific Attack Vectors — thehackernews.com — 29.12.2025 08:34
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In August 2025, malicious Nx packages leaked 2,349 GitHub, cloud, and AI credentials.
First reported: 29.12.2025 08:341 source, 1 articleShow sources
- Traditional Security Frameworks Leave Organizations Exposed to AI-Specific Attack Vectors — thehackernews.com — 29.12.2025 08:34
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Throughout 2024, ChatGPT vulnerabilities allowed unauthorized extraction of user data from AI memory.
First reported: 29.12.2025 08:341 source, 1 articleShow sources
- Traditional Security Frameworks Leave Organizations Exposed to AI-Specific Attack Vectors — thehackernews.com — 29.12.2025 08:34
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23.77 million secrets were leaked through AI systems in 2024, a 25% increase from the previous year.
First reported: 29.12.2025 08:341 source, 1 articleShow sources
- Traditional Security Frameworks Leave Organizations Exposed to AI-Specific Attack Vectors — thehackernews.com — 29.12.2025 08:34
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Traditional security frameworks like NIST CSF, ISO 27001, and CIS Controls do not cover AI-specific attack vectors.
First reported: 29.12.2025 08:341 source, 1 articleShow sources
- Traditional Security Frameworks Leave Organizations Exposed to AI-Specific Attack Vectors — thehackernews.com — 29.12.2025 08:34
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Prompt injection attacks manipulate AI behavior through carefully crafted natural language input, bypassing authentication.
First reported: 29.12.2025 08:341 source, 1 articleShow sources
- Traditional Security Frameworks Leave Organizations Exposed to AI-Specific Attack Vectors — thehackernews.com — 29.12.2025 08:34
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Model poisoning involves corrupting training data during authorized training processes, leading to malicious behavior in AI systems.
First reported: 29.12.2025 08:341 source, 1 articleShow sources
- Traditional Security Frameworks Leave Organizations Exposed to AI-Specific Attack Vectors — thehackernews.com — 29.12.2025 08:34
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AI supply chain attacks exploit pre-trained models, datasets, and ML frameworks, which traditional controls do not address.
First reported: 29.12.2025 08:341 source, 1 articleShow sources
- Traditional Security Frameworks Leave Organizations Exposed to AI-Specific Attack Vectors — thehackernews.com — 29.12.2025 08:34
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Organizations need new technical capabilities such as prompt validation, model integrity verification, and adversarial robustness testing.
First reported: 29.12.2025 08:341 source, 1 articleShow sources
- Traditional Security Frameworks Leave Organizations Exposed to AI-Specific Attack Vectors — thehackernews.com — 29.12.2025 08:34
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The EU AI Act imposes penalties up to €35 million or 7% of global revenue for serious violations, effective in 2025.
First reported: 29.12.2025 08:341 source, 1 articleShow sources
- Traditional Security Frameworks Leave Organizations Exposed to AI-Specific Attack Vectors — thehackernews.com — 29.12.2025 08:34