Tag: generative AI
The data loss risk hiding in AI prompts
Data loss prevention (DLP) is still largely frozen in place. But what worked well in 2016 doesn’t work so well today. Back then, data loss occurred in recognizable ways. Someone sent an email, hackers gained access, or a file left...
Why MSPs need AI governance, not AI bans
The instinct is understandable. A client hears that employees are pasting sensitive data into ChatGPT, panics, and says the words every MSP has heard: “Just block it.” It feels like a decision. It feels like control. It is neither. The...
The dark side of generative AI: Unveiling the AI threat landscape
Generative artificial intelligence (Gen AI) has unleashed a new threat landscape for cybercrime. Threat actors now weaponize large language models (LLMs), which once served primarily legitimate purposes. Underground forums and dark web marketplaces are buzzing with “dark LLMs” — custom...
MSPs are posed to gain an expanded role in generative AI adoption
Managed service providers (MSPs) are increasingly becoming a critical partner for organizations looking to build and deploy generative artificial intelligence (AI) applications. A survey of over 200 executives from enterprises in the Americas and Europe finds nearly two-thirds (65 percent)...
The era of LLMs, transformers, and FLMs in AI
“Hello, how are you today?” A simple enough statement, often used to start a conversation. A generative AI (GenAI) interaction will result in a simple human response, such as “I’m fine, thanks.” The GenAI engine can then move on to...
How CISOs can leverage generative AI to improve email, application security
In an era where digital threats evolve at an unprecedented pace, the integration of generative AI into cybersecurity operations has become essential. From content creation to behavior prediction and knowledge articulation, generative AI is reshaping the landscape of security practices, offering immense...
Generative AI inference engines create MSP opportunities
More organizations are beginning to operationalize generative artificial intelligence (AI). Along with this, many of them will be looking to managed service providers (MSPs) to help them optimally deploy the inference engines that are needed to analyze data in production...
Predictions for the future of AI in cybersecurity
Threat actors are improving their attacks by leveraging artificial intelligence (AI) in every way. AI makes every attack from deepfakes to credential stuffing cheaper, better, and faster. The good news is that the security industry also has access to AI capabilities, and AI-enhanced...
Generative AI is a game-changer for how MSPs demonstrate value
Customers like to have a clear understanding of what’s going on. MSPs hold more than enough data to let customers know what is going on with their services. However, they struggle to transform this data into a useful form that...
How attackers weaponize generative AI through data poisoning and manipulation
The generative AI models that today power chatbots, online search queries, customer interactions, and more are known as large language models (LLMs). The LLMs are trained on vast volumes of data and then use that data to create more data,...
