Automated Pentesting is Your Scalable, Cost-Effective Virtual Red Team

by | Dec 2, 2022 | AI in Automated Pen Test

Corporate infighting among team members can be a toxic, divisive, and time-consuming waste. But security experts know the value of a healthy fight. In cybersecurity, when two specific in-house teams pick a fight, they both win.

Red and blue teams conduct security exercises that simulate cyberattacks that real hackers might use. Acting as enemy combatants, red teams attack, while blue teams defend corporate resources and data. These specialized security teams execute mock offensive and defensive strategies to find vulnerabilities and eliminate security risks through a realistic adversarial engagement to strengthen an organization’s cybersecurity posture.

Open ports, weak credentials, unsafe user privileges, and unpatched software, are vulnerabilities hackers gladly exploit. It only takes one new or modified device or service to introduce new risks. By keeping IT resources and data unexposed, organizations reduce risk within an expanding attack surface environment.

Like red and blue teams, automated penetration testing software uses ethical hacking that discovers vulnerabilities within software, systems, and services, and their policies, processes, and procedures. Automated pentesting looks for any path, method, and scenario that can be exploited, and attempts to break in, while demonstrating and validating how a real hacker might compromise the organization’s security. 

High costs associated with manual pentesting

While red and blue team exercises are important security protocols, there are disadvantages. They require a team of highly skilled security experts to manually perform the campaigns. Preparing for testing can take weeks or months. At which time, new vulnerabilities can appear undetected between tests, leaving the organization with little insight into the actual state of their security posture.

Manual penetration testers and red and blue teams are comprised of people with different skill sets and levels of experience that can vary considerably. Human error caused by inexperience, oversight, or poor judgment can limit the effectiveness and accuracy of manual testing.

Your automated virtual red team

Automated pentesting eliminates these variables, while enabling scalability, optimizing efficiency, and lowering overhead costs.

RidgeBot® automated pentesting finds attack vectors, verifies their effectiveness, enumerates the data and resources that could be compromised, and provides remediation guidance to eliminate threats. RidgeBot prioritizes vulnerabilities and the potential for successful exploit that might create the greatest risk.

RidgeBot performs many of the same functions as red and blue teams, but without human errors, long lead times, and costly overhead. RidgeBot AI-powered automated pentesting enables organizations, large and small, to have continuous protection to detect threats, including joint and iterative attacks.

When RidgeBot discovers a new attack surface, it brings in additional real-time information and context to generate working attack strategies. It continuously gathers new information about attack surfaces, and performs post-exploit testing, such as privilege escalation and lateral movement to further penetrate the system.

Click here to learn more about the RidgeBot competitive differentiation.