Simbian today announced a cybersecurity platform that leverages generative artificial intelligence (AI) to automate tasks that can grow in complexity as tools learn about your IT environment.
Simbian CEO Ambuj Kumar just raised $10 million in seed funding to help his company train a large-scale language model (LLM) called TrustedLLM to summarize events, suggest remediation, and automate tasks. We mentioned that we have created an AI copilot that can.
Cybersecurity teams can decide how much to trust TrustedLLM over time as they continually observe how their IT environment evolves. The more LLM learns about the environment, Kumar said, the more complex the tasks the platform can perform autonomously.
As the inference engines built into LLMs become more sophisticated, generative AI platforms are able to automate tasks by combining a series of steps. For example, cybersecurity teams can use natural language interfaces to assign the Trusted LLM platform to find and remediate vulnerabilities wherever they exist, allowing multiple cybersecurity tools and platforms to work together. You can generate code to enable tasks to be completed. said Kumar.
Over time, Kumar added, each cybersecurity professional will become a supervisor for tasks performed by a co-pilot, rather than someone who must manually perform each task themselves. As generative AI makes managing cybersecurity easier for any IT professional, it is less clear how much cybersecurity experts will be needed to supervise co-pilots.
Unlike general-purpose LLMs, Trusted LLMs are trained on limited cybersecurity data to eliminate common hallucinations regularly encountered on platforms such as ChatGPT, Kumar said. Ta. This approach also ensures that data shared with LLMs, which could be accessed by anyone, is not inadvertently used to train LLMs, he added.
Given the chronic shortage of cybersecurity expertise, it's only a matter of time before more organizations rely on AI to automate tasks. Of course, there are many automation platforms for cybersecurity. However, they all require cybersecurity teams to learn some level of programming to varying degrees. Generative AI platforms eliminate that requirement by exposing natural language interfaces, and the number of workflows that can be automated should continue to grow.
As these workflows become increasingly automated, cybersecurity will steadily improve as organizations can eliminate vulnerabilities before cybercriminals can exploit them. Additionally, cybersecurity teams will be better able to respond to breaches as soon as they are discovered, allowing them to better contain the damage. Your overall cybersecurity return on investment (ROI) should also improve, as small teams can maintain cybersecurity across highly distributed computing environments.
AI will not eliminate the need for cybersecurity professionals, but their role will change. Hopefully, this will result in less time spent performing manual tasks and higher turnover among cybersecurity professionals. Most people want to spend their time eliminating threat vectors and stopping attacks in progress.
Photo credit: Kanhaiya Sharma on Unsplash
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