Although there is significant hype around these technologies, they can introduce several security concerns that can be easily overlooked. Currently, there are no strong regulatory or compliance standards on which to govern or audit these technologies that are specific to AI. There are currently many ...
privacy, and compliance challenges of deploying and building generative AI workloads. We recommend that you start by reading the first post of this series:Securing generative AI: An introduction to the Generative AI Security Scoping Matrix,which introduces you to the Generative AI ...
Concerns about generative AI risks being many, on the defenders’ side, the impact of LLMs also has been valuable. Since the debut of GPT-3.5 in November 2022, the InfoSec community has actively innovated various tools and shared insights on leveraging language models and generative AI including...
Google’s LaMDA AI system passed that test in 2022, highlighting one of the major security concerns about generative AI, namely its ability to imitate human communication. That capability makes it a powerful tool for phishing schemes, which up to now have relied on phony messages often rife ...
47 intellectual property concerns 知识产权问题 48 anonymization 匿名化 49 sandbox data 沙盒数据 50 have as rigorous controls as production.” 拥有与生产一样严格的控制。 51 hallucinations 幻觉 52 regurgitate 反流 53 credible 可信 54 over-relied 过度依赖 55 repercussions 影响 there could be...
This perceived trade-off contrasts with executives’ views of the wide-ranging risks of gen AI. Security vulnerabilities are among their biggest areas of concern. Executives expressed a broad spectrum of concerns regarding their adoption of gen AI. ...
From the outset, generative AI tools have raised privacy and security concerns. For one thing, prompts that are sent to models may contain sensitive personal data or confidential information about a company’s operations. How will these tools protect that data and ensure that users have control ...
If the company is using its own instance of a large language model, the privacy concerns that inform limiting inputs go away. However, the need to keep a close eye on outputs remains. ▶ How will generative AI impact the future of work?
AI is here and many of its use cases are being discovered over time so as with any new technology being used, the industry needs to better understand it to find ways to use it appropriately. Fear of replacement is nothing new. We saw such concerns manifest during the advent of assembly ...
Privacy: Privacy concerns could arise if users input information that later ends up in model outputs in a form that makes individuals identifiable. Generative AI could also be used to create and disseminate malicious content such as disinformation, deepfakes, and hate speech. Security: Gener...