Security News
At AWS re:Invent, NVIDIA contributed GPUs to Amazon's cloud efforts and added a retriever system to its AI Enterprise Software platform on AWS Marketplace. Amazon Web Services announced an AI chatbot for enterprise use, new generations of its AI training chips, expanded partnerships and more during AWS re:Invent, held from November 27 to December 1, in Las Vegas.
Copilot can access all the sensitive data that a user can access, which is often far too much. In this post I'm going to focus specifically on data security and how your team can ensure a safe Copilot rollout.
The UK National Cyber Security Centre has published new guidelines that can help developers and providers of AI-powered systems "Build AI systems that function as intended, are available when needed, and work without revealing sensitive data to unauthorised parties." The Guidelines for secure AI system development cover four key stages of the development lifecycle of machine learning applications.
The U.K. and U.S., along with international partners from 16 other countries, have released new guidelines for the development of secure artificial intelligence (AI) systems. "The approach...
AI continues to evolve to improve both cyber defense and cyber criminal activities, while regulatory pressures, continued consolidation, and geopolitical concerns will drive more proactive cybersecurity efforts with contextual threat intelligence, according to Cybersixgill. As organizations increasingly adopt Threat Exposure Management - a proactive approach to cybersecurity - Cybersixgill believes that cyber threat intelligence will emerge as a foundational component of TEM and play a central role as leaders across organizations make critical, strategic business decisions.
Ambitious Employees Tout New AI Tools, Ignore Serious SaaS Security RisksLike the SaaS shadow IT of the past, AI is placing CISOs and cybersecurity teams in a tough but familiar spot. Employees...
While 84% of respondents believe AI will have a significant impact on their business operations, it also raises new issues around data privacy and security. This could be driven by the fact that 97% respondents said the urgency to deploy AI technologies in their organization has increased in the past six months, with IT infrastructure and cybersecurity reported as the top priority areas for AI deployments.
Generative AI is going to be a powerful tool for data analysis and summarization. Here's an example of it being used for sentiment analysis.
AI, post-quantum cryptography, zero trust, cryptography research, and election security will shape cybersecurity strategies in the present and for 2024, according to NTT. As the world emerged from the pandemic and continued to adapt to the rapid implementation of digital transformation, businesses witnessed the rise of sophisticated ransomware attacks, state-sponsored cyber espionage and the constant need to secure the ever-expanding IoT. AI's impact on cybersecurity strategies in 2024. AI promises to impact both cybercriminal behavior and cybersecurity strategies in 2024.
While AI is not a new technology - companies have been investing heavily in predictive and interpretive AI for years - the announcement of the GPT-3.5 series from OpenAI in late 2022 captured the world's attention and triggered a surge of investment in generative AI, according to IDC. As a result, IDC expects worldwide spending on AI solutions will grow to more than $500 billion in 2027. In turn, most organizations will experience a notable shift in the weight of technology investments toward AI implementation and adoption of AI-enhanced products/services.