Automated Penetration Testing

Automated Penetration Testing

Automated penetration testing tools systematize the process of detecting and confirming vulnerabilities. Auto pentesting advances manual penetration testing by using AI and machine learning to not only detect but also confirm system vulnerabilities quickly and efficiently. Auto pentesting includes internal attacks, external attacks, lateral movement, and vulnerability management. 

By identifying, assessing, and providing an overview of security risks, organizations can prioritize them based on the most potentially damaging to the least theoretically harmful, then implement defense strategies and prioritize the most pressing issues. 

Automated pentesting is a highly effective way for organizations to confirm system capabilities and harden security defenses when launching new apps, systems, and services, from development to production. 

To eliminate risk, auto pentesting conducts four primary steps:

1) Automatically discovers active assets like servers, operating systems, databases and websites

2) Tests and reports on discovered assets and infrastructure attack surfaces, including weak URLs, open ports, and system vulnerabilities, using actual payload to detect vulnerabilities beyond software version mapping

3) Exploits using ethical hacking skills learned from human testers, launching sophisticated joint and iterative attacks

4) Performs post-exploit verification using techniques like privilege escalation and Pass-the-Hash to ascertain whether certain configurations allow hackers to move laterally further into the environment. 

Ridge Security fully automated pentesting: Its platform lets organizations ethically hack their own systems to confirm vulnerabilities. It acts like a human attacker, relentlessly locating exploits and documenting its findings, but unlike a human, it comes equipped with a set of dynamic attack strategies it tries before moving on to the next target, making penetration testing affordable and able to run at enterprise scale.