Secure your code in minutes with AppSec AI Agents
One scan. Complete insight. Instant AI-powered fixes.
7
AI agents working collaboratively
90%
fewer false positives
95%
reduced remediation time
0
hacks
Trusted by leading InfoSec teams
Why Qwiet AI?
While other AppSec tools slow your developers down, Qwiet accelerates you to secure code
01
Traditional AppSec tools flood you with up to 90% false positives. Qwiet AI is 10x more accurate, using reachability and exploitability filters to prioritize what truly matters.
02
Say goodbye to separate SAST, SCA, and secrets scans. Qwiet AI delivers comprehensive results in a single, efficient scan.
03
We go beyond identifying vulnerabilities—our AI agents provide verified code fixes you can immediately implement with confidence.
Meet AI Agents: The Most Powerful Way to Leverage AI in Security
Accurate Fixes Without Breaking Your Application: Precisely resolve vulnerabilities without introducing new issues.
Self-Validations to Avoid Hallucinations: Our AI agents self-check their work, preventing accidental app-breaking changes and data leaks.
Transparent, Explainable AI: Understand every decision with full auditability, ensuring compliance and trust.
Secure code in three steps.
analyze
Run a single analysis and see results in one view.
Qwiet AI quickly scans all your code (SAST, SCA, Container, Secrets, SBOM) at once, then offers a clear picture of your security risk in a unified vulnerability dashboard.
Prioritize vulnerabilities
See which vulnerabilities are reachable and most at risk by active exploits.
Prioritize each vulnerability across your source code and open source libraries by criticality, reachability, and exploitability… all with fewer false positives.
FIX
Use AI Autofix to resolve vulnerabilities in 5 minutes.
Qwiet AI automatically generates a fix, so you can quickly address your vulnerability backlog while delighting your dev team.
See It In Action
What our customers are saying
“As a security engineer working with the Dev teams to implement SDLC and Code security standards and compliance, deploying Qwiet AI for static code testing was a great experience. I enjoyed working with the experts from the Qwiet AI team.”
“We are able to scan our apps more often with the platform because its fast enough to fit into our SDLC process.”
“Significant realization of operational goals to reduce time of issue discovery to resolution, allowing the app dev teams to stay focused on the production and delivery of high business value products and services versus the older cultural approach of… hunting large quantities of bugs and flaws as the KPI measuring success.”
“I am extremely happy with Qwiet AI's SAST & SCA capability and tool's deep scanning capability and small number of false positives.”
“Fantastic tool for SAST scanning. My overall experience is fantastic. Qwiet AI gives accurate and detailed results in code scanning which helps the developer to find the exact vulnerable block of code.”
“Easy to implement, great scanning depth. Product integrates well within CI/CD pipeline and easily notifies developers that there are potential vulnerabilities that need to be addressed. Customer service is fast to respond.”
The Qwiet blog
Slopsquatting: AI Hallucinations and the Next Wave...
The rise of AI-generated code has indeed been a productivity breakthrough. However, it has also ushered in a new class of threat that most security teams are not adequately prepared for: the urgent and looming danger of slopsquatting. What Is Slopsquatting? Slopsquatting is a novel and unprecedented supply chain attack that exploits a flaw in […]
Build or Buy? Why Code Security Needs...
Developers build. It’s what they do best. But when security enters the equation, teams face a pivotal question: Should we develop our security tooling or buy something purpose-built? Let’s be honest. Building your tools can feel empowering. You know your stack, your risks, your workflow. But internal security systems aren’t just hard, they’re risky. And […]
◆ King of Diamonds: Vulnerabilities in Custom...
Key Takeaways As a software developer, security professional, or technical decision-maker, it is essential to recognize that internal code is not inherently secure; it is often unscanned. Custom frameworks and in-house libraries frequently do not appear in public CVE databases and typically do not match known patterns, making them invisible to most rule-based application security […]
