David Miessiler has this idea about AI tools that are "good enough" to make a real project impact. He says, in part:
To me .... in both offensive and defensive security use cases, the main advantage of AI will not be its exceptional (superhuman) capabilities, but rather the ability to apply pretty-good-intern or moderate-SME level expertise to billions more analysis points than before.
In large companies or government/military applications, we often don’t need AGI [artificial general intelligence]. What we need is 10, 100, or 100,000 extra interns.
Talk about job elimination! It could happen.
But the impact on testing, especially those rare use cases that nobody wants to test for because there's never enough time and money for the 6-sigma outcomes, will be profound! Quality should go up faster than the cost of quality (which is, of course, "free")
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