AI-Powered Application Security for Growing Software Companies
Automate security reporting, analyze code with AI, and build a scalable AppSec program without hiring a large security team.
The AppSec Challenges You Face
Growing software companies struggle with application security. Here's what we hear every day.
No Dedicated AppSec Team
Most small companies lack a dedicated application security team, leaving critical vulnerabilities unaddressed.
Too Many Security Tools
Security teams juggle multiple scanners and dashboards, creating tool fatigue and fragmented visibility.
Findings Hard to Track
Security findings get lost across tools. No single source of truth for vulnerability status and remediation.
Developers Ignore Security Tickets
Generic security reports don't speak developers' language, leading to low remediation rates.
Code Reviews are Slow
Manual security code reviews can't keep up with rapid development cycles and continuous deployment.
Threat Modeling is Slow
Manual threat modeling processes can't keep up with rapid development cycles and continuous deployment.
Our Solutions
Purpose-built tools that bring enterprise-grade application security within reach of every development team.
Cyber AI Code Reviewer
AI-driven code analysis that detects vulnerabilities, insecure patterns, and compliance gaps across every pull request — so issues are caught before they reach production.
Learn MoreAI Threat Modeler
AI-powered threat modeling that analyzes entire repositories — building dependency graphs, prioritizing by security relevance, and delivering verified, high-fidelity findings.
Learn MoreAppSec Reporter
Automated security reporting that consolidates findings, tracks remediation progress, and generates executive-ready dashboards — giving you full visibility into your AppSec posture.
Learn MoreWhy AquarisSec
Everything you need to run a mature AppSec program — without the enterprise price tag or headcount.
Built for Small & Mid-Size Teams
Designed from the ground up for lean engineering organizations that need real security without dedicated AppSec headcount.
AI-Driven Automation
Leverage large language models to analyze code, prioritize vulnerabilities, and generate actionable remediation guidance automatically.
Developer-Friendly
Security feedback appears right where developers work — in pull requests, IDEs, and Slack — so fixing issues feels natural, not disruptive.
Easy CI/CD Integration
Drop AquarisSec into your existing GitHub Actions, GitLab CI, or Jenkins pipelines with a single configuration step — no infrastructure changes required.
Mature AppSec Quickly
Go from zero to a structured, measurable application security program in weeks — not quarters — with built-in best practices and reporting.
Trusted by Security-Conscious Teams
“AquarisSec transformed how our small team handles security. We went from zero AppSec program to full vulnerability tracking in weeks.”
Sarah Chen
CTO, CloudStack Inc.
“The AI code reviewer catches issues our developers would miss. It's like having a senior security engineer reviewing every PR.”
Marcus Rodriguez
Engineering Manager, DevFlow
“Finally, security reports that developers actually read and act on. Our remediation rate went from 20% to 85%.”
Aisha Patel
Security Lead, ScaleUp Labs