Hey there! If you’re involved in the security or health care industries, or you’re passionate about cybersecurity like we are in the Bay Area, you’ve probably heard about how nearly every team out there is short-staffed and overwhelmed with data. It’s a hustle, alright!
Speaking of data, have you heard about these big, impressive language models (LLMs for short)? They’re making waves in our industries and for good reasons too. Some groups are already exploring how LLMs can help us understand the massive amount of information we handle daily. But guess what’s holding a lot of companies back from taking advantage of these tools? Yup, you got it— it’s the lack of experience.
Here’s the deal – when organizations start using these LLMs, they’ll be able to dig deeper into raw data, gaining essential insights easily. But of course, they’ll need some support from the top guns in their security departments so they can use the LLMs to fix actual problems.
John Miller, a big shot from Mandiant’s Intelligence Analysis Group, shared some profound thoughts on this. He noted that the goal is to guide organizations through the unknown since there aren’t many concrete success (or failure) stories about LLMs yet. This lack of experience makes it challenging to predict the tech’s impact.
A recent presentation at Black Hat USA even showed how LLMs could aid security personnel to speed up and improve cybersecurity analysis. Sounds promising, right?
If we want a great threat intelligence capability, it seems we need three things: relevant threat data, the power to process and standardize that data, and the knack to interpret the data for security purposes. No small task, considering teams are usually drowning in data or with demands from stakeholders.
That’s where LLMs barge in like superheroes. They help bridge this overwhelming gap by allowing the team to request data using everyday language and receive the info in simple, non-technical language.
But before you get all starry-eyed about AI and LLMs, remember that while they can boost our ability to use security datasets and save us some precious time, they have some flaws. For example, sometimes LLMs can create connections that aren’t there or come up with completely fabricated answers. That’s some Twilight Zone stuff, right?
But despite these challenges, the pros still shine through. We can have integrity checks or streamline our queries to cut down on these “hallucinations”. But having a human paired with the AI can be a game changer. It’s a powerful combination that has benefits all round.
This whole “augmentation approach” is gaining momentum within cybersecurity and healthcare companies. Some firms are already using LLMs to revolutionize their capabilities. These tools can turn complex data searches into simple summary reports, saving security professionals tons of time.
So, while the potential for AI and LLMs seems thrilling, remember that they’re just a tool. In the end, real people are the ones using the information, making the decisions, and most importantly— keeping things secure! Now, that’s teamwork.
by Morgan Phisher | HEAL Security
