Threat Modeling in the AI Landscape: Understanding the Attack Surface
Prompt injection, data poisoning, supply chain risk and excessive agency. How threat modeling turns scattered AI weaknesses into the attack paths that actually matter.
Field notes, vulnerability research and practical guides from the PentesterSpace team on penetration testing, PTaaS and offensive security.
Prompt injection, data poisoning, supply chain risk and excessive agency. How threat modeling turns scattered AI weaknesses into the attack paths that actually matter.
A pentest is often sold as a list of bugs. Its real return is measured in reduced breach risk, faster deals, and the trust that keeps customers.
A vulnerability is a hypothesis. Exploitation is the proof. Here is why chaining and real attack paths reveal risk that a severity score cannot.
Scanners are fast, cheap and tireless, and they will never fully replace a human tester. Here is exactly where automation stops and judgment begins.
Booking your first pentest? Here is what a professional engagement actually looks like, phase by phase, from scoping through the final retest.
You ship code every week, but test security once a year. PTaaS closes that gap with continuous, expert-led testing that matches how you actually build.
Manual expertise or an on-demand platform? A side-by-side look at cost, scalability, coverage and continuous monitoring, and when a hybrid approach wins.
Three methods, three different jobs. How pentesting, vulnerability scanning and web application scanning complement each other and satisfy compliance.