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?

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.

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.