Sarrah Pitaliya

Hi everyone   

For a long time, the cybersecurity community has been stuck in a cycle that feels increasingly broken. We have incredible tools for Web App and API pentesting that can scan thousands of endpoints in minutes, yet security teams are more overwhelmed than ever.

The problem isn't a lack of data; it s a noise problem.
If you ve spent any time in AppSec, you know the drill: you run a scan, and you re handed a massive list of "potential" vulnerabilities. Most of these turn out to be theoretical risks or outright false positives.

So teams end up stuck between two imperfect options:
 Automated security tools that are fast but noisy, or manual pentesting that is deep but impossible to scale.

Hi everyone quick note from the ZeroThreat team  

As AI begins to enter security workflows, there s a growing conversation around AI-driven pentesting. 

But one thing becomes clear quickly: fully autonomous AI attacking applications can introduce governance, safety, and operational risks. 

Hey folks   

For years, application security has mostly followed the same pattern.

Run a scan.
Get a list of vulnerabilities.
Prioritize them using severity scores.