To build a resilient AppSec program, you need more than just static code analysis. This guide explains how to choose a SAST solution that aligns with your development and security goals—also showing how Invicti’s proof-based DAST enhances accuracy, eliminates noise, and validates real risk at runtime.
Securing software early in the development lifecycle is essential but not always straightforward. Static application security testing (SAST) tools are often the first port of call, designed to catch vulnerabilities in source code before it’s even compiled. But with so many options available and so much variance in the results they deliver, knowing how to select the right SAST scanner can make or break your AppSec program.
Whether you’re building a new security stack or re-evaluating your existing tooling, this guide outlines how to choose a SAST solution that aligns with your goals, and why pairing static testing with proof-based DAST from Invicti can transform how your team handles application security.
SAST tools analyze application source code or binaries to identify security weaknesses like injection flaws, hardcoded credentials, or insecure data handling. This analysis happens early in the software development lifecycle (SDLC) and doesn’t require a running application, making SAST an important shift-left control.
However, while SAST can flag suspicious patterns, it does not simulate real-world attacks. It doesn’t account for runtime behavior, API exposure, deployment configurations, or how external components interact with live environments. It’s valuable, but used on its own, it’s incomplete and noisy.
Enterprise development isn’t just about writing code, it’s about writing secure, scalable code at speed. The wrong SAST tool can overwhelm teams with false positives, create integration headaches, and ultimately slow delivery. The right tool, however, fits seamlessly into dev workflows, catches critical issues early, and lays the groundwork for effective vulnerability management in combination with other security testing methodologies.
SAST scanners range from simpler open-source and bundled tools to heavyweight dedicated solutions, so it’s important to look at the available capabilities as they apply to your specific needs.
Choose a tool that supports your current tech stack, and anticipate future needs. Coverage for multiple languages and modern frameworks is essential for enterprise agility since, unlike DAST, SAST is not tech-agnostic.
Look for solutions that integrate natively with IDEs, version control systems, CI/CD pipelines, and issue trackers that your teams already use, plan to adopt, or can easily add. This reduces friction and encourages adoption across developer teams.
High false positive rates can erode trust in security tools. While SAST tools are inherently more noisy than dynamic testing, there are ways to deal with that. Evaluate whether the scanner offers tunable rulesets, context-aware analysis, or machine learning to improve accuracy.
If you’re using containers, serverless functions, or microservices, your SAST tool should support scanning these architectures, or at least provide compatible outputs.
Effective SAST tools shouldn’t just point out problems but help solve them effectively. Look for contextual explanations, code samples, and links to documentation that assist developers in fixing issues fast.
Having a SAST tool under your belt provides you with some measure of security testing from the moment a piece of code is first written. When you’re building on an enterprise scale, though, you need a fact-checker for your noisy static tests, and a good DAST makes all the difference.
While SAST looks at code in theory, DAST sees how your applications behave in reality. It simulates actual attacks against running apps to not only show which SAST findings are actually valid but also detect vulnerabilities that only surface at runtime.
The best DAST tools can automatically verify vulnerabilities with safe exploits that mimic real-world techniques so you know which issues are definitely real and exploitable. This drastically reduces false positives and accelerates remediation.
From APIs and SPAs to dynamic dependencies, an advanced DAST provides dynamic visibility across your entire application surface. This complements SAST’s code-level focus with real-world testing at scale.
Invicti offers the world’s best DAST scanning but also far more than that. Instead of a standalone scanner, you get a full integrated platform for application security testing and posture management. And if you don’t have a SAST yet, that’s also available via a Mend.io partner integration.
Invicti brings together dynamic scanning, static analysis, software composition analysis (SCA), API security, and container security in one platform. By integrating SAST insights, it helps centralize risk management and streamline reporting.
With integrations into JIRA, GitHub, GitLab, Jenkins, and more, Invicti enables seamless handoffs and automated ticketing. Each issue is verified, prioritized, and packaged with actionable remediation guidance.
By focusing on exploitable issues, Invicti empowers security teams to allocate resources based on real risk, not just scan volume. This reduces backlog bloat and improves time-to-fix metrics. Predictive Risk Scoring is also included to prioritize security work before scanning even begins.
SAST is an important foundation for any secure SDLC, but it’s only one piece of the puzzle. For AppSec programs to be effective at scale, you need tools that don’t just find issues but validate and prioritize them with clarity and confidence.
Invicti bridges the gap with proof-based DAST, full-surface coverage, and seamless integration into your existing workflows, making it the ideal complement to your SAST strategy.
Schedule a demo to learn how Invicti helps enterprises move beyond static analysis and take action on real risk.
Here’s a quick-reference checklist to guide your SAST selection process:
Evaluation criteriaKey questions to askLanguage supportDoes it cover all the languages and frameworks in your stack?Dev tool integrationCan it integrate with your IDEs, version control, and CI/CD pipelines?AccuracyWhat is the false positive rate, and how is it minimized?Modern dev supportDoes it support containers, microservices, and cloud-native workflows?Developer enablementDoes it offer clear remediation guidance and learning resources?Validation strategyCan findings be verified dynamically through DAST integration?Reporting & complianceDoes it support your audit and policy requirements?
Checklist for evaluating SAST scanners