Why do you think there are so few mature AI-driven autonomous pentesting solutions on the market, and why does this topic seem to generate more hype than in-depth technical discussion?
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+1 There is so much noise but as I delve into actual strategic solutions...there still much to be desired...combine that with the confusion that still permeates from the top of our organization down, regarding what AI actually is...This year our plan is to roll out basic training so that we can establish a baseline of understanding the 5W's why it matters to each team member and then build out a more robust strategy from there
Fully agree here. Penetration testing is a consequence of analysis, historical insights, contextual insights, etc. which currently requires expertise which is very hard to write down. Penetration testing documentation is often about the process, not the true 'content'. As long as content can't be generated on which AI is trained upon, it will have a hard time providing value here.
AI-driven pentesting is still at initial stages as adapting safely to complex environments and replicating human intuition remain difficult and challenging.
The hype reflects strong interest in its potential, though deeper technical discussion will grow as the technology matures.
AI-driven autonomous pentesting is still in its early days because the problem space is unusually complex compared to other security automation areas. A few key factors play into why we see more hype than mature solutions:
Dynamic & Unpredictable Environments,High Risk of Collateral Damage,Data Scarcity & Ethics,Regulatory & Liability Concerns,Hype Cycle Effect
Mature AI-driven autonomous pentesting solutions are rare because the task requires a level of creativity, strategic thinking, and adaptability that current AI lacks. Technical hurdles, including AI's non-deterministic nature and the "black box" problem, hinder the reliability and trust required for enterprise security.
The topic generates more hype than substance because "AI" is a powerful marketing buzzword. The discussion focuses on future potential rather than the current reality: AI is most effective at augmenting human pentesters by automating repetitive tasks, not replacing them. True autonomy remains a distant goal.
At its fundamental, it's really hard to test basic database programs hence it's going to be hard to test AI results via autonomous pen testing solutions with various types of data incorrigibly.
Few mature AI-driven pentesting tools exist because true testing requires reasoning and creativity that AI hasn’t mastered. The hype comes from market buzz, while the technical reality is still catching up.