Shadow AI Incidents & Real-World AI Security Risks
● SecurePledge Resources Shadow AI Incidents Real-world incidents, exposures and vulnerabilities that show what can happen when AI adoption moves faster than security, governance and data protection. Continuously updated resource · Last reviewed August 2026 The AI control problem EmployeePrompt / file / workflow → AI ToolChatbot / agent / API DETECTREDACTCONTROLLOG Sanitized DataPolicy checked […]
Protecting Confidential Legal Data When Using Generative AI
Generative AI is changing how legal professionals research, draft, summarize and analyze information.Lawyers can use AI to accelerate document review, organize information, generate first drafts and simplify complex material.But legal organizations also handle information where confidentiality is critical.That creates a fundamental challenge:How can legal teams benefit from generative AI without accidentally exposing confidential client information? […]
Securing AI Adoption in Banking: Controlling Sensitive Customer Data
Artificial intelligence is becoming an increasingly important part of modern banking and financial services.From customer service and fraud analysis to document processing, research and internal productivity, employees are finding new ways to use generative AI.But with every new AI workflow comes an important question:What happens when sensitive financial information is entered into an AI tool? […]
How Healthcare Organizations Can Prevent PHI Exposure in AI Prompts
Healthcare organizations are increasingly exploring generative AI to improve documentation, research, administrative workflows, patient communication and operational efficiency. But as employees turn to tools such as ChatGPT, Claude and Gemini, a new security challenge is emerging: sensitive patient information can unintentionally become part of an AI prompt.A clinician may paste part of a patient record […]