ZeroThreat Agentic AI Pentesting Is launching soon – A Smarter Way to Validate Real Risk
Just a few days to go…
ZeroThreat is getting ready to introduce ZeroThreat 3.0: Agentic AI Pentesting, a new layer designed to move beyond vulnerability detection into real exploit validation.
This isn’t just another automated scan.
Agentic AI dynamically reasons through application behavior, adapts attack paths in real time, and validates whether vulnerabilities can actually be exploited — all within controlled, user-defined boundaries.
Adaptive attack-path reasoning
Proof-based exploit validation
Revalidation to eliminate false positives
Bounded testing of complex business logic flows
Controlled execution in staging environments
Customer-managed AI models (BYO AI)
Instead of generating long vulnerability lists, Agentic AI focuses on proven, reproducible risk.
Built for AppSec teams, security leaders, engineering teams, MSSPs, and enterprises adopting AI with governance in mind.
Launching soon on Product Hunt.
Stay tuned for a new approach to controlled, AI-driven pentesting.
Secure smarter. Validate what truly matters.
Replies
This is a massive step forward for AppSec! 🛡️
I especially love that you’re focusing on 'Customer-managed AI models (BYO AI)'. In my experience, the biggest hurdle for enterprises adopting agentic AI is the lack of trust in centralized cloud 'black boxes' when it comes to sensitive data like pentesting results.
I'm actually launching my Agentfarm tomorrow, which is a hub specifically designed for Sovereign AI agents. I’m building it on an AMD/ROCm stack to allow for exactly this kind of local, secure execution where the user—not the provider—controls the compute. 🚜
It’s great to see more players focusing on controlled, governed AI. Best of luck with the 3.0 launch! I'll definitely be keeping an eye on how you handle the adaptive attack-path reasoning.
ZeroThreat.ai
@albin_p Thanks! And wishing you the best for your launch