Penetration testing has usually been a calendar event. It runs once or twice a year, delivers a report, and starts losing relevance as soon as new code goes live and new vulnerabilities emerge. That gap leaves a long stretch where real risk can build up without being tested.
Simbian’s autonomous AI pentest agent is designed to run testing on demand, so security teams and service providers can verify their posture whenever the environment changes instead of waiting for the next assessment cycle.
A Recurring Revenue Path for MSSPs
For MSSPs, the shift is as much about the business model as the technology. Continuous testing can be packaged as a recurring service with defined SLAs, instead of a one-time engagement that resets every year.
Ambuj Kumar, CEO and co-founder of Simbian, told MSSP Alert that this opens a new revenue path while improving delivery economics. “This presents a new opportunity for MSSPs to make money with continuous testing rather than limited one-time tests. Simbian AI Pentest Agent also improves margin for MSSPs since the cost of a pentest can be lower than pure manual.”
He added that the software-led approach can also help providers reach customers who have been difficult to serve through traditional methods. “Some customers in the Federal or Finance industry don't like outside people knowing about their vulnerabilities. AI Pentest, on the other hand, is a software that can operate discreetly and keep the findings private.”
Moving From Theoretical Findings to Confirmed Risk
The operational difference is in how results are generated and prioritized. Many automated tools still produce large volumes of theoretical findings that require manual validation. The reasoning-based model is intended to confirm what is actually exploitable and relevant to the business. Kumar framed the distinction in terms of how the system evaluates context. “Rather than following a few rules, this AI Agent thinks like a human. This is extremely important since security always has some new interesting cases.”
He pointed to scenarios where technical severity does not equal real risk. “There is an application with a critical vulnerability that allows you to dump private customers' data. However, this data is all synthetic, so this should be ignored. Simbian AI Pentest Agent can automatically read the application's design document and not flag this issue.”
What Changes for Security Operations, MSSPs
Teams get fewer, clearer issues to fix. They no longer have to sort through long lists of possible problems. They see what can actually be exploited and what affects the business, so they can remediate faster and show real progress to customers and leadership.
For MSSPs, pentesting becomes a service they can run continuously instead of once a year. That brings steady recurring revenue, fits naturally with MDR and exposure management, and allows for clear SLAs around testing and remediation. It also improves margins because it does not require the same level of manual effort each time. Most importantly, it lets MSSPs prove on an ongoing basis that risk is going down rather than delivering a static report. That strengthens long-term customer relationships and makes the service easier to scale.
Testing can be triggered by a code release, a configuration change, or a new vulnerability disclosure, and the results can move straight into remediation workflows. For MSSPs, this sits alongside detection and response as an ongoing function. For enterprises, it shortens the gap between a change, the discovery of risk, and the fix - which is where most breaches take hold.
