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ChatGPT Security: Tips for Safe Interactions with Generative AI

With over 100 million users and partnerships with Microsoft, Reddit, Stack Overflow, and more, ChatGPT has become the herald of an AI revolution since its launch in late 2022. The rise of this AI-powered natural language processing tool comes down to two distinct features: its conversational nature, which allows anyone to ask questions and receive detailed and helpful responses, and its access to a global knowledge base.

4 Examples of How AI is Being Used to Improve Cybersecurity

Throughout history, technology has been a catalyst for solving many civilizational problems. The advent of artificial intelligence (AI) presents an incredible opportunity to combat cybersecurity risks and bolster the defenses of organizational IT networks. The good news is that it’s already making an impact by reducing the average dwell time of cyber attacks by as much as 15%. But AI holds much more promise.

Why Artificial Intelligence (AI) Is Neither

Artificial Intelligence (AI) is the buzzword du jour of not just tech, but the entire online world. We see it in the daily headlines of everything from industry stalwarts such as Wired (There’s an AI Candidate Running for Parliament in the UK) through the stiff-collared set at the Wall Street Journal (What the Apple-OpenAI Deal Means for Four Tech Titans). Everyone who is anyone is talking about it, training it, or trying leverage against it.

Hallucinated Packages, Malicious AI Models, and Insecure AI-Generated Code

AI promises many advantages when it comes to application development. But it’s also giving threat actors plenty of advantages, too. It’s always important to remember that AI models can produce a lot of garbage that is really convincing—and so can attackers. “Dark” AI models can be used to purposely write malicious code, but in this blog, we’ll discuss three other distinct ways using AI models can lead to attacks.

Protecto.ai and Fiddler AI Announce Strategic Collaboration for Responsible AI Development

Protecto.ai is thrilled to announce a strategic collaboration with Fiddler AI, a trailblazer in AI explainability and transparency. With a total of $47 million in funding, Fiddler AI empowers organizations to build trust in their AI systems by making complex models interpretable and transparent, thereby enhancing model performance and ensuring compliance with regulatory standards and ethical guidelines.

Quick Guide to Popular AI Licenses

Only about 35 percent of the models on Hugging Face bear any license at all. Of those that do, roughly 60 percent fall under traditional open source licenses. But while the majority of licensed AI models may be open source, some very large projects–including Midjourney, BLOOM, and LLaMa—fall under that remaining 40 percent category. So let’s take a look at some of the top AI model licenses on Hugging Face, including the most popular open source and not-so-open source licenses.

The Future of Endpoint Protection: AI and Predictive Security

Traditional security measures, while essential, are often reactive, scrambling to respond to attacks after they've occurred. Endpoint protection stands as a critical line of defense against an increasingly sophisticated array of cyber threats. Its future lies in proactive, intelligent solutions that leverage the power of AI and predictive security to anticipate and prevent threats before they can cause harm.

How Brokers Harness Artificial Intelligence for Market Analysis

The integration of artificial intelligence (AI) in the finance sector has seen a dramatic surge over the past decade. Key technological advancements like increased computing power, improved algorithms, and the availability of big data have paved the way for AI to transform brokerage operations.

"AI is only useful when it solves real customer problems": Tines on Risky Biz

We’re all huge fans of the Risky Biz podcast here at Tines, so we were thrilled to be invited to appear on the show recently to talk about AI’s role in security automation. I had a great conversation with host Patrick Gray about the security and privacy challenges that go along with deploying an LLM in your environment, and how our approach to AI in Tines is fundamentally different. I loved every minute of this chat, and I hope you’ll find it interesting, too.