
SecureFlag helps teams ship secure features faster, reducing the
risk introduced by AI-generated code through automated threat modeling
and hands-on secure coding practice.
Proudly trusted by 350+ enterprise teams worldwide
The AI Shift
AI coding assistants are generating code faster than
most teams can review it securely.
Review becomes the bottleneck
Developers increasingly validate and remediate AI-generated changes rather than writing everything from scratch.
Scanners miss the most expensive issues
Static analysis is strong on known patterns, but it struggles with logic-level flaws—the issues that only show up when you understand how a feature is supposed to behave.
AI can help review, but only if it's directed
AI assistants can trace data flows, follow interactions across files, and surface security concerns, but quality depends on scope, prompts, and having a consistent process.
The SecureFlag Approach
AI coding assistants can ship features faster, but they also change
how vulnerabilities enter your codebase. SecureFlag helps teams
validate AI output, catch risk before code is written, and remediate
issues quickly.
Secure coding training
Secure code review skills for AI workflows
SecureFlag turns secure coding into measurable performance. Developers learn how to guide AI assistants safely, review output effectively, and ship secure fixes with confidence.

Automated threat modeling
Design securely before AI writes the code
ThreatCanvas gives teams faster, more consistent design-time risk visibility—so AI-assisted delivery doesn't create preventable downstream exposure.

SecureFlag improves application security performance in ways security and engineering leaders can measure.
2.4x
ROI within 12 months
27%
Faster remediation
24%
Less time spent on rework
SecureFlag Labs
Practice the workflow your developers are actually using—prompting, reviewing AI-generated changes, and shipping fixes with confidence.

Assisted Code Review
Developers generate a quick UI using an AI assistant, then uncover an injection issue caused by unsafe DOM rendering. They remediate the vulnerability by guiding the assistant to implement safe output handling, then retest to confirm the fix.
AI accelerates development
AI coding assistants are generating code faster than many teams can review it securely. More code is being produced, and the time to catch vulnerabilities before they reach production is getting shorter.
Secure outcomes need guidance
AI coding assistants are useful for producing functional code, but a big challenge is that they don't come with security built in by default. Secure output depends on how developers guide and interact with them.
Speed without security creates risk
The value of AI pair programming is hard to argue with, considering how it allows teams to write code faster and reduce repetitive work. Most developers who've tried it would probably agree that it delivers on that promise. The problem is that even though the productivity gains are great, so are the security risks.
Proven impact
SecureFlag helps global engineering and security teams reduce vulnerabilities and build secure software faster.

“It not only covers OWASP Top 10 but also operations technologies like Kubernetes, Cloud and new technologies like AI/ML.”
AppSec
Not disclosed
Get started
See how SecureFlag brings secure design, hands-on developer learning, and audit-ready reporting together in one platform. Book a personalized demo to explore how teams reduce risk, improve skills, and prove compliance without slowing delivery.
AI-assisted development—answered.
AI-assisted development is the use of AI coding assistants to help generate, refactor, and review code. It can accelerate delivery—but it also increases the need for consistent secure code review, validation, and remediation.
Get started
See how SecureFlag brings secure design, hands‑on developer learning, and audit‑ready reporting together in one platform.
Book a personalized demo to explore how teams reduce risk, improve skills, and prove compliance without slowing delivery.