Eoin Hinchy, co-founder and CEO of Tines, a leader in smart and secure workflows, shares 2024 cyber predictions, highlighting the pivotal role of AI in cybersecurity and the imminent evolution of no-code automation through natural language interfaces.
Eoin Hinchy, co-founder and CEO at Tines
For attackers, AI is a trusty sidekick. For defenders, it's a game-changer.
For all the FUD (fear, uncertainty, and doubt) about an AI arms race between attackers and defenders in cybersecurity, AI is proving to be far more of an asset for security teams than hackers. Generative AI is helping bad actors write malware and phishing emails, but there was no shortage of malware before AI and people were already happy to click on phishing attempts. For defenders, on the other hand, AI has been a game changer. The powerful technology is tailor-made for solving security team’s most-pressing challenges: too much data, too many tedious tasks, and not enough time, budget, or people. AI is democratizing cyber defense by quickly summarizing vast swaths of data, normalizing query languages across different tools, and removing the need for security practitioners to be coding experts. In 2024, we’ll see AI’s impact in automation as defenders use AI to make incident response more efficient. AI is a once-in-a-decade leap forward, and it’s carrying cyber defenders farther than hackers.
Natural language will pave the way for the next evolution of no-code.
Automation is only effective when implemented by teams on the frontline. Five years ago, the best way to place powerful automation in the hands of non-technical teams was via low- or no-code interfaces. Now, with AI chatbots that let people use natural language, every single team member — from sales to security — is technical enough to put automation to work solving their own unique problems. The breakthrough in AI was the new ability to iterate in natural language, simply asking an LLM to do something a bit differently, then slightly differently again. Generative AI and LLMs are obliterating barriers to entry, like no-code tools once did for the need to know how to code, and no-code will be the next barrier to fall. We’ve already moved from programming languages like Python to Microsoft Excel or drag-and-drop interfaces. Next year, we will see more and more AI chat functions replace no-code interfaces. We can expect non-technical teams throughout organizations embracing automation in ways they never thought possible. Natural language is the future on the frontline.
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