AI Workflow Security Risks Highlighted by Recent Attacks
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Recent incidents demonstrate that the primary risk in AI systems lies not in the models themselves but in the workflows that integrate them. Two Chrome extensions stole ChatGPT and DeepSeek chat data from over 900,000 users, while prompt injections tricked IBM's AI coding assistant into executing malware. These attacks exploit the context and integrations of AI systems, highlighting the need for comprehensive workflow security. AI models are increasingly embedded in business processes, automating tasks and connecting applications. This integration creates new attack surfaces, as AI systems rely on probabilistic decision-making and lack native trust boundaries. Traditional security controls are inadequate for these dynamic and context-dependent workflows. To mitigate these risks, organizations should treat the entire workflow as the security perimeter, implementing guardrails and monitoring for anomalies. Dynamic SaaS security platforms like Reco can help by providing real-time visibility and control over AI usage.
Timeline
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15.01.2026 13:55 1 articles · 7h ago
Recent Attacks Highlight AI Workflow Security Risks
Two Chrome extensions stole ChatGPT and DeepSeek chat data from over 900,000 users, while prompt injections tricked IBM's AI coding assistant into executing malware. These incidents demonstrate that the primary risk in AI systems lies in the workflows that integrate them, not the models themselves. Traditional security controls are inadequate for these dynamic and context-dependent workflows.
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- Model Security Is the Wrong Frame – The Real Risk Is Workflow Security — thehackernews.com — 15.01.2026 13:55
Information Snippets
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Two Chrome extensions posing as AI helpers stole ChatGPT and DeepSeek chat data from over 900,000 users.
First reported: 15.01.2026 13:551 source, 1 articleShow sources
- Model Security Is the Wrong Frame – The Real Risk Is Workflow Security — thehackernews.com — 15.01.2026 13:55
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Prompt injections hidden in code repositories tricked IBM's AI coding assistant into executing malware.
First reported: 15.01.2026 13:551 source, 1 articleShow sources
- Model Security Is the Wrong Frame – The Real Risk Is Workflow Security — thehackernews.com — 15.01.2026 13:55
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AI models are increasingly used to connect applications and automate tasks, blurring boundaries and creating new integration pathways.
First reported: 15.01.2026 13:551 source, 1 articleShow sources
- Model Security Is the Wrong Frame – The Real Risk Is Workflow Security — thehackernews.com — 15.01.2026 13:55
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AI systems rely on probabilistic decision-making, making them vulnerable to manipulated inputs and context.
First reported: 15.01.2026 13:551 source, 1 articleShow sources
- Model Security Is the Wrong Frame – The Real Risk Is Workflow Security — thehackernews.com — 15.01.2026 13:55
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Traditional security controls are ineffective against AI-driven workflows due to their dynamic and context-dependent nature.
First reported: 15.01.2026 13:551 source, 1 articleShow sources
- Model Security Is the Wrong Frame – The Real Risk Is Workflow Security — thehackernews.com — 15.01.2026 13:55
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Dynamic SaaS security platforms like Reco provide real-time visibility and control over AI usage.
First reported: 15.01.2026 13:551 source, 1 articleShow sources
- Model Security Is the Wrong Frame – The Real Risk Is Workflow Security — thehackernews.com — 15.01.2026 13:55