Atlanta-based Apptega has been in growth mode recently.
The cybersecurity compliance team has made some high-profile leadership hires, including bringing on new CEO Dave Colesante late last year. It has also closed a new round of funding to help the team build and grow in the new era of AI-driven cybersecurity compliance.
Behind The Funding Round
Apptega announced today it raised $15 million in growth capital, which came in a combination of third-party debt and growth equity from California-based Mainsail Partners. The investment will go toward development of its continuous security and compliance platform, according to a press release.
Colesante told Hypepotamus that the capital comes at an important time for the company.
“We’re building a business that we feel will grow very quickly, will be very large and will help transform a massive industry. As we work to achieve our aggressive goals, it’s important that we are diligent stewards of capital – for our team, for our partners and for our investors. The structure of this particular round [with debt and growth equity] puts us in the best position to do that,” he added.
Prior to this fundraising round, Apptega raised $37.9 million over four rounds, according to available Crunchbase data.
The Evolving Cybersecurity Compliance World
The funds will help growth Apptega’s R&D efforts, which are focused on “productizing artificial intelligence” for managed service firms looking to “deliver security and compliance guidance more efficiently and at higher margins.”
And that growth makes sense, given how quickly software development and cybersecurity are both changing.
“This may go without saying, but generative AI will transform every software company moving forward. The Apptega platform currently leverages AI to deliver security controls guidance and remediation expertise, but that’s just the tip of the iceberg,” Colesante told Hypepotamus. “We envision a world where a wide breadth of security and compliance consulting services that today take many human hours to deliver will ultimately be powered, in seconds, by large language models. Our goal is to arm managed service providers with this incredibly powerful technology so they can run their businesses more efficiently and free up their best people to provide the high-end security guidance that generative AI can’t.”