Fears grow about big tech guiding U.S.AI policy | Tech Target
Academics and industry experts worry that big tech companies, including Microsoft, OpenAI and Google, could have an outsized influence on U.S.AI …
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Academics and industry experts worry that big tech companies, including Microsoft, OpenAI and Google, could have an outsized influence on U.S.AI …
Theserisksarise from common characteristics of AI systems: Data retention. Generative AI models are typically trained and retrained on large data …
Orca Security published its '2024 State ofAISecurity Report' Wednesday, highlightingrisksassociated with tools and services amid rapid …
Former OpenAI and Google staff raised concerns about the lack of a cohesive U.S.AI policy at a Senate subcommittee hearing Tuesday …
Forrester Research analysts focused on cloud computing, technologyrisk, generative AI for security and agentic AI in their 2025 technology …
AI in the fintech industry is driving efficiency, enhancing security and supporting business goals. Explore key use cases, benefits andrisks …
But this widespread adoption poses significantrisks, particularly from a cybersecurity perspective. A foundational element of managing and mitigating …
OpenAI's GPT-4o offers businesses improved response times, multimodality and voice capabilities. Explore the model's features,risksand business …
The EUAIAct is reshaping AI compliance. Learn key takeaways from an industry expert on balancing innovation, legal requirements and ethical …
California's AI bill, SB 1047, would implement safety testing requirements for AI developers and create whistleblower protections …
Enterprises are wrestling with how to protect themselves against emergingthreatsto their AI systems. Learn why AI threat modeling is so …
...AI hallucination . With so much data needed to reduce the likelihood of hallucinations, data pipelines need to be automated. Therefore, with data …
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AI in vulnerability management · To detect potential vulnerabilities before they become entry points for cyberthreats. · To assess the level ofrisk …
As organizations focus their attention to AI securityrisks, they wonder how they can combat them. Learn why using the NIST CSF andAIRMF can …
AI hallucination s. AI can return false or nonsensical results due to improper training or because of the probabilistic nature of large language models …
But as the complexity and scale of data and AI initiatives grow, so do the associatedrisks-- you need data and analytics governance policies. IT …
Security vendors at Black Hat USA 2024 updated their products to ensure AI projects don't pose securityrisks …
...risksof storing valuable data in one of the top three AI platforms. As new AI technology has taken off, cybercriminals and nation-state actors …
Learn how a new framework could help address faithfulnesshallucinationsinAI-generated medical summaries …
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By understanding currentrisksand vulnerabilities, developers can create secure-by-design AI systems. Need for collaboration. Organizations, …
At Black Hat USA 2024, Veracode's Chris Wysopal warned of the downstream effects of how generative AI tools are helping developers write code faster …
This is known as an AI hallucination . In addition to text, generative AI tools can produce audio, video and imagery. This AI-generated content can …
Environmentalrisks.Artificial intelligencetools can be resource-intensive and have an outsized negative environmental impact. The compute power …
The 2024 Olympics in Paris will use AI for judging accuracy, personalized recaps, security, logistics and enhancing athlete performance, aiming for a …
"This is different from previous AI systems and starts creatingrisksthat seem really fuzzy and human-like," she said. It's also important to find …
Examples of high-risk AI systems include those used in employment, education, essential services, critical infrastructure, law enforcement and the …
...risksof the wider use of generative AI and the expected ROI. There are challenges andrisksthat have caused supply chain leaders to pause Gen AI …
...AI risks, and the unresolved question of how they all fit into a cohesive workflow, have been trickier stumbling blocks. In the same week last …
AI hallucination scan range from annoying inaccuracies to severe business disruptions. When AI systems output false information, it can erode an …
Hallucinations. Large language models (LLMs) tend tohallucinate, or generate factually incorrect content. This is problematic in both employee-facing …