As businesses and service providers deploy AI tools and systems, having strong cyber security across the entire AI pipeline is a foundational requirement, from design to deployment. Even at this stage of AI adoption, attacks on AI infrastructure and prompt-based manipulation are gaining traction. Per a recent Gartner report, 32% of organizations have already experienced an AI attack involving prompt manipulation, while 29% faced attacks on their GenAI infrastructure in the past year. Nearly 70% of cyber security leaders said emerging GenAI risks demand significant changes to existing cyber security approaches. And a recent Lakera survey found that only 19% of organizations […]

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Artificial intelligence is transforming the way we work, learn, and innovate—and it’s doing so at a pace that surpasses every major technology before it. Microsoft’s inaugural AI Diffusion Report offers a comprehensive look at how AI adoption is accelerating worldwide, drawing on data from more than 100 countries. In less than three years, more than 1.2 billion people have used AI tools, a rate of adoption faster than the internet, the personal computer, or even the smartphone. This rapid diffusion underscores AI’s potential as a general-purpose technology but also highlights the urgent need to ensure equitable access.

The report introduces three indices—the AI Frontier Index, the AI Infrastructure Index, and the AI Diffusion Index—to help policymakers, researchers, and industry leaders understand where breakthroughs are happening, where capacity exists to scale, and where AI is being used to improve lives. These insights show that adoption is fastest where connectivity and digital infrastructure are strongest, while nearly four billion people still lack the basics needed to participate in the AI economy. Bridging this gap is essential to avoid deepening global divides.

Beyond the numbers, the report illustrates the need for collaborative action to expand access to digital infrastructure, strengthen skills development, and promote responsible AI policies. By investing in these foundational elements, governments and organizations can unlock AI’s potential for growth and innovation. The data makes clear that speed alone does not guarantee shared prosperity—broad accessibility does.

To explore the full findings and recommendations, read the AI Diffusion Report.

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In Part 2, we’re diving headfirst into one of the most critical attack surfaces in the LLM ecosystem - Prompt Injection: The AI version of talking your way past the bouncer.

The post Getting Started with AI Hacking Part 2: Prompt Injection appeared first on Black Hills Information Security, Inc..

Burpference is a Burp Suite plugin that takes requests and responses to and from in-scope web applications and sends them off to an LLM for inference. In the context of artificial intelligence, inference is taking a trained model, providing it with new information, and asking it to analyze this new information based on its training.

The post Augmenting Penetration Testing Methodology with Artificial Intelligence – Part 1: Burpference appeared first on Black Hills Information Security, Inc..

You may have read some of our previous blog posts on Artificial Intelligence (AI). We discussed things like using PyRIT to help automate attacks. We also covered the dangers of […]

The post Getting Started with AI Hacking: Part 1 appeared first on Black Hills Information Security, Inc..

RAG connects pre-trained LLMs with current data sources. Moreover, a RAG system can use many data sources.

The post Avoiding Dirty RAGs: Retrieval-Augmented Generation with Ollama and LangChain appeared first on Black Hills Information Security, Inc..

Many people have heard of ChatGPT, Gemini, Bart, Claude, Llama, or other artificial intelligence (AI) assistants at this point. These are all implementations of what are known as large language […]

The post Pitting AI Against AI: Using PyRIT to Assess Large Language Models (LLMs)  appeared first on Black Hills Information Security, Inc..