Most organizations utilize security testing (a.k.a penetration testing) to validate the security posture of their network and systems. In such a test, security testers take on the role of a hacker and try to break into the organization’s IT environment to find vulnerabilities and determine how they exploit a real-world hacker attack. The underlying idea is that a good security test should reveal how an attacker could infiltrate an organization’s systems before it happens.
Proper penetration testing helps organizations address issues in a more manageable and cost effective manner. However, attackers are always developing new exploits and attack methods, often using machine learning (ML) to launch attacks automatically. Enterprises’ security teams and professional “penetration testers” are under tremendous pressure to keep up.