MSSPs should be paying close attention to developments in generative AI (GenAI) because interest in GenAI is rising faster than other types of AI, and enterprise customers are adopting, or planning to adopt, GenAI at a rapid pace.
Gartner predicts that, by 2026, eight in 10 enterprises will have GenAI APIs or models in use or have deployed GenAI-enabled applications in their production environments. That’s a major increase from under 5% in 2023, according to Gartner’s 2023 Hype Cycle for Generative AI, which also named GenAI as one of three influential technologies being added to enterprise applications that will have a major effect within the next ten years.
Generative AI models are designed to create new content, unlike predictive AI models which can forecast outcomes, whether that’s weather, stock market trends or cybersecurity threats. Both types of AI require volumes of data to produce output. A GenAI model can create articles, speeches, summaries of technical data, new product designs, and marketing collateral. According to Gartner, 30% of all outbound marketing messages from large organizations will be written by GenAI by 2025, compared to just 2% in 2022.
Generative AI is currently (or will soon be) embedded in a wide range of enterprise applications in customer service, equipment maintenance, procurement and supply chain, code production and documentation, and of course, IT security.
BlackBerry vice president of product and technical marketing, Paul Zimski, notes, “Being competitive as an MSSP is all about delivering superlative customer outcomes downstream while constantly looking for ways to be more efficient operationally. Both generative and predictive AI models have a lot to offer in this endeavor. While GenAI is getting a lot of hype as it should, it’s important to understand how your MSSP can leverage specific use cases and convey value delivered to clients.”
MSSPs should consider whether generative AI could be useful in these areas:
Of course, the AI community will have to address concerns over accuracy with generative AI before it can be trusted to operate without human oversight. Recent media reports of AI-enabled apps creating articles with fake data or court briefs referencing non-existent legal cases decrease the trust that end-users have in AI products. However, generative AI models will likely become more accurate over time, increasing consumer trust.
It’s still the early days for generative AI, but already many enterprises are using generative AI in their operations. One-third of all respondents to McKinsey’s survey The State of AI in 2023: Generative AI’s Breakout Year, say their organizations are already regularly using generative AI for at least one function. MSSPs should closely evaluate how they might leverage generative AI to help them be more efficient and productive, and to give more value to their customers.
Want to know more about AI in cybersecurity? You’ll find more information at BlackBerry Cybersecurity. To learn how to become a BlackBerry MSSP partner, visit the BlackBerry MSSP Partners portal.
Guest blog courtesy of BlackBerry Cybersecurity. Read more BlackBerry Cybersecurity blogs and news here. Regularly contributed guest blogs are part of MSSP Alert’s sponsorship program.
