Software teams are shipping faster than ever, but every sprint widens the cracks in their security foundations.
We've normalized a broken cycle: building first, scrambling to patch later. Security reviews arrive too late. Threat modeling is manual and inconsistent. Compliance turns into a spreadsheet exercise, divorced from the actual architecture. And as systems scale, risks multiply silently until the next headline-worthy breach forces everyone back into firefighting mode.
We've professionalized reactive security. Entire industries thrive on the assumption that architectures must be flawed, that vulnerabilities are inevitable, that "shift left" means checking code after it's written. We call this progress, but deep down, we know it's broken.
But why?
SecArc AI is building the Agentic AI Software Architect, a proactive layer that secures systems before a single line of code is written. We ingest architecture diagrams, identify threats automatically, map them to MITRE ATT&CK, and prescribe controls aligned to your business context in real time. It's not just security-as-a-checklist. It's security as a design principle.
Our long-term vision is bold: replace reactive security with architecture-first security intelligence. Imagine systems that self-validate against threats, auto-generate compliance artifacts, and evolve secure patterns as fast as your product roadmap moves. Each risk we prevent isn't just mitigation; it's unlocking your team to ship safely, fearlessly.
In an age where AI accelerates everything, we're building the foundation for durable, secure systems with security, craft, and confidence built in from day one.
Team Secarc AI
Early adopters from top tech companies share how SecArc AI helps them rethink security from day zero.
I tested Secarc using one of the architecture that we created for our production application and Secarc was able to generate a detailed report on the security flaws and was very correctly identify potential issues, the generated report was based on frameworks security frameworks like MITRE, STRIDE, DREAD score. I loved the security score and mitigations part. With the right integration and directions Secarc can play a big role in building Secure SDLC and being a early part of it.
Security is one of the most critical thing that we follow at Cohesity and having tested Secarc, I would love to have a tool like it in the early stages of SDLC, I have also used chatGPT for finding security flaws in our sytsems but the results and the detailed analysis are better by a mile.
One of the things that takes up the most time when building an application is building the architecture and a major component of that is because we have to focus on security aspects, have different meetings and reviews with security experts. Having something like Secarc AI would save us weeks, obviously if they are able to make it production grade.
I tried Secarc AI and instantly realized that it is something that can be a game changer for our work, working at financial firm we take security as top priority and currently it takes around 2 weeks at minimum for an architecture to get reviewed manually and get a security report, Secarc was able to do it in few mins, I was suspicious at first but after checking the report and talking to the super agent they have I was even more impressed as it was able to identify things which a human reviewer would've missed, it is something we would love to have at work at early SSDLC stage of software.
I tested Secarc AI and was impressed by its speed, accuracy and the depth of its security report. It mapped threats against frameworks like MITRE and STRIDE which are essential for enterprise-scale software, and it did this in just minutes. It is refreshing to see a tool that prioritizes security when so many developer tools today overlook it.
