Topic: compliance risks
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Enterprise AI's Hidden Security Blind Spot
Widespread adoption of AI tools without proper oversight in enterprises is creating significant security vulnerabilities, with 89% of AI usage going undetected by IT departments, leading to risks in data privacy and compliance. AI integration into everyday business applications and the use of per...
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Your Employees Are Leaking Secrets to AI—And They Can't Get Them Back
Employees are increasingly inputting sensitive corporate data into public AI platforms, often without the ability to recover or delete it, and many organizations lack technical measures to monitor or restrict this behavior. A significant gap exists between leadership's perceived oversight and act...
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Coro 3.6: Simplify Operations for Resource-Strapped SMBs
Coro has launched Coro 3.6, an AI-driven security platform designed to help small and medium-sized businesses strengthen cybersecurity without needing extensive IT resources. The platform integrates all security functions into a unified system, automatically analyzing and correlating threats to r...
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Commvault Launches Data Rooms to Link Backup Data with AI
Commvault's Data Rooms provide a secure environment for businesses to connect backup data to AI platforms and data lakes, bridging data protection with activation while minimizing risk. The solution addresses challenges in data accessibility and trust by offering built-in governance, automated cl...
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1 in 4 UK and US Firms Hit by Data Poisoning Attacks
One in four organizations in the UK and US have experienced data poisoning attacks, where malicious actors corrupt AI training data to disrupt operations or bypass security measures. Unauthorized employee use of generative AI tools, known as "shadow AI," poses risks such as data leaks and complia...
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AI Now a Business Necessity, Not Just an Edge: 96% of Firms Adopt
AI has become a fundamental business requirement, with 96% of IT leaders integrating it into core processes, highlighting its shift from experimental projects to essential infrastructure. Organizations are deploying a diverse AI portfolio, led by generative AI at 60% adoption, and are increasingl...
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Securing Identity in the Age of AI Agents
Traditional security frameworks are inadequate for governing autonomous AI agents, which operate outside conventional perimeters and make independent decisions across multiple platforms. Key risks include shadow agents that bypass formal procedures, privilege escalation enabling unauthorized admi...
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AI Experts Demand More Supply Chain Transparency
The push for AI transparency is growing due to rapid adoption of generative AI, with the **AI Bill of Materials (AIBOM)** proposed as a standardized framework to document AI system components. Industry and policymakers are advancing AIBOM efforts, with groups like the **G7 Cybersecurity Working G...
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The Quiet Influence of AI on Your Brand Narrative
AI is reshaping brand narratives, creating risks like "AI brand drift." Companies must manage four brand layers, known, latent, shadow, and AI-narrated, to maintain control. Proactive auditing and monitoring can counter semantic drift, ensuring AI-driven content aligns with brand intent and safeguards reputation, as AI becomes crucial in consumer evaluations.
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