The Irish data regulator launched an investigation to determine Google's compliance with a European privacy law when it was developing its PaLM 2 artificial intelligence model. Google launched the multilingual generative AI model last year.
Large language models such as ChatGPT are trained on massive amounts of data generated from publicly available sources including Wikipedia, news, blogs, publications and Common Crawl. The problem lies in the datasets themselves - how they are licensed, sourced and used.
From interlinked navigation and electric vehicles to smart voice assistants and autonomous vehicles, Mercedes-Benz aims to harness AI using its vast data pools. The company's AI policy is governed by four principles: responsible data use, explainability, privacy and safety.
The underground market for illicit large language models is a lucrative one, said academic researchers who called for better safeguards against artificial intelligence misuse. "This laissez-faire approach essentially provides a fertile ground for miscreants to misuse the LLMs."
While the criminals may have an advantage in the AI race, banks and other financial services firms are responding with heightened awareness and vigilance, and a growing number of organizations are exploring AI tools to improve fraud detection and response to AI-driven scams.
A head-spinning series of acquisitions and mergers is transforming the security information and event management (SIEM) market. Behind this market shakeup is the ongoing technological shift from traditional, manually intensive SIEM solutions to AI-driven security analytics.
Generative AI can help organizations drive business growth and stay competitive in a dynamic market, according to a recent Google report. Beyond improving ROI, gen AI also fosters innovation. But its effective implementation requires executive-level sponsorship and alignment with business goals.
California state lawmakers on Wednesday handed off a bill establishing first-in-the-nation safety standards for advanced artificial intelligence models to their Senate counterparts after weathering opposition from the tech industry and high-profile Democratic politicians.
ISMG's Virtual AI Summit brought together cybersecurity leaders to explore the intersection of AI and security. Discussions ranged from using AI for defense to privacy considerations and regulatory frameworks and provided organizations with valuable insights for navigating the AI landscape.
Microsoft says it fixed a security flaw in artificial intelligence chatbot Copilot that enabled attackers to steal multifactor authentication code using a prompt injection attack. Security researcher Johann Rehberger said he discovered a way to invisibly force Copilot to send data.
AI-assisted coding tools can speed up code production but often replicate existing vulnerabilities when built on poor-quality code bases. Snyk's Randall Degges discusses why developers must prioritize code base quality to maximize the benefits and minimize the risks of using AI tools.
Chat app Slack patched a vulnerability in its artificial intelligence tool set that hackers could have exploited to manipulate an underlying large language model to phish employees and steal sensitive data. Slack said it was a low-severity bug.
Generative AI tools boost developer productivity, but they also generate code with similar vulnerability rates as human developers. Chris Wysopal, co-founder and CTO of Veracode, explains why enterprises must treat AI-generated code with caution and automate security testing.
AI's influence on social engineering and election security has become a focal point at Black Hat. ISMG editors discuss how advanced technologies are making it easier to manipulate people and compromise security systems and offer key insights on machine learning vulnerabilities.
From skill shortages to cultural shifts and security risks, implementing AIOps presents significant challenges. By effectively addressing these challenges, CIOs can improve their organizations' IT operations management, foster scalability and enable predictive maintenance.
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