The Growth of Vulnerability Management: The Rise of Agentic AI Pentesting
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Cybersecurity shifts fast. Manual penetration tests remain valuable, especially for nuanced attack paths and business-logic issues, but they are expensive, point-in-time, and difficult to run continuously. By the time a report is delivered, the environment may have already changed. Automated scanners improved coverage and frequency, but most still rely on known signatures, templated checks, and shallow validation. They can find obvious issues, but they rarely match the adaptive reasoning, chaining, and persistence of a skilled attacker.Platforms like XBOW help security teams move toward continuous validation by running AI-driven tests that mimic large-scale human attackers. This shift moves the focus from periodic assessment and reactive patching toward ongoing exposure management and earlier prevention.
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