One platform for
secure development
One platform that unifies secure coding training and automated threat modeling, so developers prevent vulnerabilities instead of reacting to them. Built for AI-assisted software development.
Trusted by enterprise security and engineering teams
AI writes code.
Who makes it safe?
AI now writes a growing share of your code. The pace has changed, but the accountability hasn't: your developers still own every line. Keeping up takes two things working together. Developers need the foundations to prompt securely and to judge whether AI output is actually safe. And threat modeling has to move into the SDLC—automatic and by design—so risk is mapped before code ships, not after the breach.
More AI code, more attack surface.
AI writes features faster than any team can review them. That takes developers trained to judge whether AI output is safe, and threat modeling that identifies risks early.
AI gives you what you know to ask for
Secure prompting and reviewing AI output are skills. A trained dev asks for validation, auth checks, and safe defaults, and can tell when the code isn't safe. An untrained one just asks to make it work and ships the risk with it.
Threat modeling happens too late
At AI speed, post-design and manual modeling can't keep up. Threats have to surface by design and automatically in the SDLC.
The best time to fix a vulnerability
is before it exists
Most teams discover security problems after code is written, reviewed, and shipped. SecureFlag brings security upstream: identify risks at the design stage, build secure coding into daily development, and make compliance a byproduct of good process.
The application security platform
built for developers
SecureFlag is an application security platform that prevents vulnerabilities at the source: the developer. Instead of adding security onto the end of the SDLC, SecureFlag embeds it into the design and coding stages where flaws originate.
Secure coding training platform
Built for AI development
Hands-on secure coding training in real IDEs with AI code assistants. Developers learn how to prompt securely and identify and remediate vulnerabilities.
Automated threat modeling
Built for development teams
AI-assisted threat modeling performed at the design stage via GUI, APIs, and MCP. Identifies threats and corresponding controls before code is written—shifting security left in the AI era.
Security built into
every stage of the SDLC
SecureFlag unifies secure design, developer learning, and compliance reporting in one continuous platform—aligned to the realities of AI-accelerated development.
Measurable impact on
security and delivery
SecureFlag's application security platform delivers quantifiable ROI, proven by real enterprise results reducing vulnerabilities, accelerating remediation, and freeing up developer time for feature work.
2.4x
ROI within 12 months
27%
Faster remediation
24%
Less time spent on rework
One platform, complete
developer security
Practical Training.
Hands-on labs in 75+ technologies and frameworks
Shift Left Security.
Automated threat modeling at design stage
AI Security.
Secure AI-assisted and agentic development
Compliance Ready.
Compliance evidence for SOC 2, ISO 27001, PCI DSS, HIPAA, NIST, and more.
Role-Based Learning.
Built for developers, DevOps, architects, cloud, and QA engineers.
Enterprise Integration.
MCP, API, JIRA, Azure DevOps, GitHub, GitLab, and more.
Trusted by industries that
can't afford to get security wrong
SecureFlag delivers industry-aligned threat models, secure coding training paths, and hands-on labs mapped to the risks, regulations, and AI-driven development challenges your teams face.
Financial Services
Meet compliance, reduce breach risk, and keep development moving fast — without slowing your release cycle.
Automotive
As connected vehicles expand the attack surface, equip your developers to build security in from the start.
Healthcare
Protect patient data and simplify HIPAA audits with developers who write secure code from day one.
Retail & E-Commerce
Reduce PCI DSS exposure and cut the cost of security rework across high-velocity engineering teams.
Technology & SaaS
Ship secure features faster by reducing the vulnerabilities your team introduces before they ever reach production.
Government & Defense
Strengthen your security posture and generate the compliance evidence auditors need — across every team, at scale.
Manufacturing
Secure the software powering your production lines and supply chain, before vulnerabilities become operational risk.
Telecommunications
Protect critical network infrastructure and customer data by building security into every layer of your development process.
Seamlessly integrated
into your workflow
SecureFlag integrates with the tools your teams already use, from code repositories and issue trackers to learning management systems and CI/CD pipelines.
And with our MCP and APIs, you can connect your own agents directly to SecureFlag's capabilities. Everything stays in the loop, inside your existing SDLC tools.
Proven impact
What enterprise
leaders are saying
SecureFlag helps global engineering and security teams reduce vulnerabilities and build secure software faster.
“Easy to use, extremely interactive labs, a high level of technical details, and great customer support.”
IT Security Specialist
Financial Services
Shift security left and prove it.
Reduce vulnerabilities across your organization with role-based secure coding training and automated threat modeling that delivers measurable outcomes and audit-ready certification.
Frequently
asked questions
Whether you're curious, confused, or just want the quick facts, our FAQ section is here to help you find what you need—fast, clear, and hassle-free.
An application security platform helps organizations reduce software risk across the SDLC by combining prevention, detection, and governance. It commonly connects to tools like SAST, DAST, and SCA to surface vulnerabilities, then supports remediation and reporting. SecureFlag adds a proactive layer—design-stage threat modeling, hands-on secure coding training, and audit-ready evidence—so teams prevent repeat issues, not just find them.