From secure design
to secure code in the AI era
Automated threat modeling and secure coding training to prevent vulnerabilities in AI-assisted and human-written code, for developers, DevOps, security teams, and engineering leaders.
Enterprise-scale
secure software development
SecureFlag helps engineering and security teams reduce risk before it reaches production. It combines secure design, threat modeling, hands-on secure coding training, and continuous evidence generation in one platform.
One platform across the AI SDLC
Secure design, security requirements, threat modeling, training, controls verification, and governance are connected in one platform, reducing tool complexity and making risk reduction measurable and repeatable.
Explore platform
Secure AI code development
Thousands of continuously updated labs across 75+ languages teach you to build secure software with AI code assistants, and to review the security of AI-generated code.
Identify risk before code is written
AI-powered automated threat modeling turns designs and development stories into living risk models, helping teams prevent vulnerabilities before code is written.
Security that fits existing workflows
SecureFlag's MCP and native integrations with Jira, Azure DevOps, GitHub, GitLab, and CI/CD pipelines put security where developers already work.
Hands-on training in real environments
Learn by identifying and fixing real vulnerabilities in real IDEs, CI/CD pipelines, and AI and cloud workflows, so secure coding skills translate directly to production code.
Compliance evidence, built in
Secure design, threat modeling, and training map directly to standards like ISO, SOC 2, PCI DSS, HIPAA, and ASVS—audit evidence builds itself as you work.
Enterprise-scale
secure software development
SecureFlag helps engineering and security teams reduce risk before it reaches production. It combines secure design, threat modeling, hands-on secure coding training, and continuous evidence generation in one platform.
One platform across the AI SDLC
Secure design, security requirements, threat modeling, training, controls verification, and governance are connected in one platform, reducing tool complexity and making risk reduction measurable and repeatable.
Explore platformSecure AI code development
Thousands of continuously updated labs across 75+ languages teach you to build secure software with AI code assistants, and to review the security of AI-generated code.
Identify risk before code is written
AI-powered automated threat modeling turns designs and development stories into living risk models, helping teams prevent vulnerabilities before code is written.
Security that fits existing workflows
SecureFlag's MCP and native integrations with Jira, Azure DevOps, GitHub, GitLab, and CI/CD pipelines put security where developers already work.
Hands-on training in real environments
Learn by identifying and fixing real vulnerabilities in real IDEs, CI/CD pipelines, and AI and cloud workflows, so secure coding skills translate directly to production code.
Compliance evidence, built in
Secure design, threat modeling, and training map directly to standards like ISO, SOC 2, PCI DSS, HIPAA, and ASVS—audit evidence builds itself as you work.
Why application security
breaks down in the AI era
AI lets teams ship more code, faster than ever, but most security programs still run at human speed. Risks surface late; not all developers can direct AI assistants to write secure code or judge what the AI produces, and compliance evidence is collected manually. Costs climb, delivery slows, and security's impact is hard to prove.
30x
higher cost to fix vulnerabilities in production
$10.22M
average cost of a data breach in the USA
24%
of engineering time lost to security rework
Breaches start at design
When risks aren't addressed early, vulnerabilities reach production—driving incidents, exposure, and breach response costs.
AI speeds up code, not security
Secure prompting is a skill. A trained developer asks for input validation, auth checks, and safe defaults. An untrained one just asks to make it work.
AI writes the code, Devs decide if it's safe
AI writes code that works, not always code that's safe. If your developers can't tell the difference, the risk ships with it.
Remediation drains engineering capacity
When security issues are caught late, developers lose days to rework, draining capacity that should be spent building, not fixing.
The complete
secure development platform
ThreatCanvas operationalizes secure design.
SecureFlag Labs turns secure coding into measurable business performance. Together, they help enterprises build secure software faster.
Secure coding training platform
Built for AI development
Reduce risk, save time and cost, demonstrate compliance, and empower your developers with hands-on secure coding training in real development environments—a training platform built for agentic, AI-assisted workflows.
Automated threat modeling
Built for development teams
AI-assisted threat modeling that turns designs into living models with suggested controls, traceable tickets, and audit-ready evidence—a threat modeling tool that handles risk at design stage, available via GUI, API, MCP, and native Jira and Azure DevOps integrations.
Empower developers, reduce risk, and prove security value
Upskill teams.
27% reduction in time required to fix vulnerabilities.
Prevent vulnerabilities.
21% reduction in the number of new security tickets.
Improve efficiency.
24% reduction in time spent performing security reworks.
Prove value.
2.4x return on investment within 12 months.
Empower every role in your SDLC
As AI accelerates code production, SecureFlag's secure coding
training platform empowers your entire organization to shift
security left. From threat modeling to developer enablement,
every role contributes to measurable risk reduction.
Security Leaders
Reduce vulnerabilities at source. With AI accelerating delivery, our secure coding training platform equips engineers to direct AI assistants securely and review AI-generated code, closing knowledge gaps, speeding remediation, and demonstrating measurable security outcomes.
Engineering Leaders
Ship faster without compromise. AI raises the pace; training keeps the quality. Teams deliver secure code and use AI assistants safely without sacrificing velocity. Hands-on training cuts security rework by 24%, freeing engineering hours for product development.
Compliance Managers
Build audit-ready evidence. AI has changed how code gets written, but your compliance obligations haven't moved. Hands-on training creates documented proof of secure coding competency across your entire organization: traceable, auditable, compliant.
Financial Decision Makers
Prove ROI from day one. As AI multiplies the code your teams ship, remediation costs and rework can balloon—training keeps them down. Time to market accelerates, with measurable impact on security and business outcomes.
Developers
Write secure code in real development environments. Learn through hands-on labs in the tools you already use—including AI coding assistants—to steer AI toward the right security controls and review the code it generates. Master secure coding practices for the AI era.
Built for the AI era
Ship RAG, agents, and MCP-connected features with guardrails baked in—model risks at design, fix AI-introduced vulnerabilities, enforce policy, and prove it with audit-ready evidence.
Model AI risks at design
Automated threat modeling that identifies, models, and prevents the risks of integrating AI technologies, turning each design change into threats and suggested controls, available via GUI, API, MCP, and native integrations.
Train for agentic coding
Reduce risk, save time and cost, demonstrate compliance, and equip your developers with hands-on secure coding training in real development environments—where prompting AI to generate secure code is taught as a core security skill. A training platform built for agentic, AI-assisted workflows.
Govern usage
Ensure the right people and the right agents deploy the right fixes before merge, while approvals, exceptions, and AI-assisted reviews feed one evidence trail.
Stay current
Continuously updated hands-on labs teach you how to safely integrate AI technologies into your applications.
Reduce risk. Prove impact.
Scale securely
Find the right solution for your priority
Secure AI development
Identify and fix vulnerabilities introduced by AI-generated code.
Enable secure-by-design
Identify and mitigate security risks before code is written.
Secure AppSec adoption
Implement consistent security standards across AI-assisted engineering teams without friction.
Proven impact
What enterprise
leaders are saying
SecureFlag helps global engineering and security teams reduce vulnerabilities and build secure software faster.
“SecureFlag empowers me to run a secure coding training program that is practical, scalable, and highly effective across the organization.”
Application Security Architect
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.
SecureFlag is a Developer Security Enablement Platform that helps organizations identify security risks at design, train developers to prevent vulnerabilities, and generate audit-ready evidence across the software development lifecycle—for both AI-assisted and human-written code through automated threat modeling and secure coding training.