CISO's Expert Guide to Agentic Pentesting for Websites

Attackers now weaponize new vulnerabilities in about five days (Mandiant, part of Google Cloud). The median organization takes 43 days to patch one (Verizon DBIR 2026). A new free guide explains how autonomous AI agents are closing that gap, and what security leaders must demand before pointing one at production. TL;DR Exploitation is now the front door. It starts 31% of breaches (Verizon DBIR

The article reports that attackers now weaponize new vulnerabilities in about five days, while the median organization takes 43 days to patch, and that exploitation has become the 'front door' starting 31% of breaches; it introduces a free guide on how autonomous AI agents can help close this gap for website pentesting. These are reported facts from Mandiant/Google Cloud and Verizon DBIR, plus the existence of an agentic pentesting guide. From a RealGround perspective, the use of autonomous AI agents for offensive-style testing introduces AI agent abuse risk if such capabilities are misconfigured, over-permitted, or repurposed by attackers, so organizations need secure agent design, strict guardrails, and continuous adversarial testing to prevent these tools from being turned against production systems. RealGround would focus on ensuring agent behaviors are aligned with business and security policies, that access scopes are tightly controlled, and that attack-simulation agents are continuously monitored and red-teamed so they only operate in approved environments and do not inadvertently cause data leakage or operational impact.