Don’t Lose Your Focus: It’s Not About the AI; It’s About the Data

Data is the enabling infrastructure for security AI. Three characteristics are deterministic of success: data framework structures; data management; and data curation. Every cybersecurity vendor is going to roll-out a generative AI interface for their tools, and they should. The ability of the tool to create outcomes in your environment however will be determined not by the power of generative AI but in the data and the predictive AI models behind the generative AI. Join this fascinating presentation to hear from IDC analyst Frank Dickson about the focus you should have, and the questions you should be asking, as you look to unlock the potential of AI.
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[@orlandovillat]

I fully agree with the search for simplifications and its benefits.
However, In relation to Low Code....
I see a contradiction in terms of search for simplification and use of Low Code tools.
In my experience low code tools do not satisfy all scenarios, which translate into varied tooling environment.
Varied tooling introduces various operational methodologies, various approaches to handling security, various approaches for handling change, etc.
Examples of scenarios where low code is not the correct tool:
a) Complex business rules/case scenarios (complexity happens fast, humans are not good at managing more than a handful of considerations concurrently).
Low code goal is to reduce the entry barrier. In the process it must divert from the use techniques aimed to manage complexity.
b) Low code is not the best tool where performance is a requirement.
Low code tools provide means to describe the desired outcome, description which is interpreted by a proprietary platform, and then executed. This adds complexity to the execution which translates into lower performance for a given resource level.
In a nutshell: Low code do reduce entry barrier, but they do this at an operational cost which will become evident (or has) to enterprises.
If your organization has simple business rules, and does not have performance requirements, then low code is a great option as long as you don't introduce other more specialized tools into the mix.
Hope helps. Cheers.
PS.
Most low code tools use what in Software Architecture is called "anemic domain models". This type of models is easy to understand (low-entry-barrier), but is not recommended for mid and high complexity, performant, nor high concurrency scenarios.
It is a give and take, not a one solution fits all, like most things in life :).