Security News

Google Cloud's AML AI represents an advancement in the fight against money laundering. In this Help Net Security interview, Anna Knizhnik, Director, Product Management, Cloud AI, Financial Services, at Google Cloud, explains how Google Cloud's AML AI outperforms current systems, lowers operational costs, enhances governance, and improves the customer experience by reducing false positives and minimizing compliance verification checks.

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OpenAI is seeking researchers to work on containing super-smart artificial intelligence with other AI. The end goal is to mitigate a threat of human-like machine intelligence that may or may not be science fiction. "We need scientific and technical breakthroughs to steer and control AI systems much smarter than us," wrote OpenAI Head of Alignment Jan Leike and co-founder and Chief Scientist Ilya Sutskever in a blog post.

We're now in a different sort of resource rush, with companies peddling bits instead of oil: generative AI. Everyone is talking about these new AI technologies-like ChatGPT-and AI companies are touting their awesome power. Generative AI needs a wide variety of data, which means all of us are valuable-not just those of us who write professionally, or prolifically, or well.

The usage of platforms like Cash App, Zelle, and Venmo for peer-to-peer payments has experienced a significant surge, with scams increasing by over 58%. Additionally, there has been a corresponding rise of 44% in scams stemming from the theft of personal documents, according to IDIQ. AI voice technology. The report also highlights the rise of AI voice scams as a significant trend in 2023.

In this Help Net Security interview, Nadir Izrael, co-founder & CTO of Armis, discusses the global efforts and variations in promoting responsible AI, as well as the necessary measures to ensure responsible AI innovation in the United States. What are your initial impressions of the Biden-Harris Administration's efforts to advance responsible AI? Are they on the right track in managing the risks associated with AI? The effort to address the issue of responsible AI is a proactive step in the right direction.

They raise legitimate questions about the usage and permissions of AI applications within their infrastructure: Who is using these applications, and for what purposes? Which AI applications have access to company data, and what level of access have they been granted? What is the information employees share with these applications? What are the compliance implications? Each AI tool presents a potential attack surface that must be accounted for: Most AI applications are SaaS based and require OAuth tokens to connect with major business applications such as Google or O365.

Enter generative AI. Many cybersecurity companies - and more specifically, threat intelligence companies - are bringing generative AI to market to simplify threat intelligence and make it faster and easier to harness valuable insights from the vast pool of CTI data. Gain insights into AI models, cybersecurity importance, advanced threat intelligence, CTI accessibility, and choosing the right solution.

Many popular generative AI projects are an increased security threat and open-source projects that utilize insecure generative AI and LLMs also have poor security posture, resulting in an environment with substantial risk for organizations, according to Rezilion. "On top of their inherent security issues, individuals and organizations provide these AI models with excessive access and authorization without proper security guardrails. Through our research, we aimed to convey that the open-source projects that utilize insecure generative AI and LLMs have poor security posture as well. These factors result in an environment with significant risk for organizations."

It's an open secret where this might be heading; AI will eventually become a primary cybersecurity system that not only helps out but performs threat detection and response without human intervention. AI will become cybersecurity system, taking over threat triage in a way that matches or even surpasses what human SOC teams can do.