Find and fix the issues that matter in your code (SAST)
Find and fix reachable dependency vulnerabilities (SCA)
Find and fix hardcoded secrets with semantic analysis
Get triage and code fix recommendations from AI
Automate, manage, and enforce security across your organization
Find more true positives and fewer false positives with dataflow analysis
Secure your code, no matter who (or what) writes it.
Mitigate software supply chain risks
Increase security while accelerating development
Prevent the most critical web application security risks
Protect Your Code with Secure Guardrails
Mitigate software supply chain risks
Increase security while accelerating development
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Semgrep vs Checkmarx
Stuck with slow scans, high false positive rates, and rising costs?
We get it. Your developers are shipping fast, your SDLC is automated, but you're still stuck with Checkmarx. Long scan cycles, noisy findings full of false positives, and painful rule tuning that no one wants to own. It’s AppSec that feels like it’s from 2009. Sound familiar?
Community / Trust
Open-source with active security community
Closed-source with limited community visibility
Open ecosystems mean faster innovation, shared rules, and greater transparency vs. vendor lock-in.
Price / ROI
Lower cost of ownership, faster onboarding, and better long-term value with proven ROI in customer deployments
High cost of ownership with reliance on services, long setup, and internal admin overhead
Predictable pricing and quick time-to-value reduce ownership costs and risk in security investments.
Scan Speed
Fast, real-time scanning in CI, PRs, and IDEs that keeps up with modern developer workflows.
Long scan cycles delay feedback and slow down dev teams
Modern AppSec only works if it keeps pace with development velocity
AI Capabilities
Semgrep AI Assistant and memories are built into the platform not bolted on. They offer trusted triage and autofix to reduce false positives by up to 95% accelerating remediation.
AI is a premium priced add-on, not integrated into core workflows. Adoption is low due to complexity and limited trust from developers.
Built-in AI accelerates fixes and reduces noise without extra cost or complexity.
Rule Creation
Simple YAML-based rules that are flexible, readable, and supported by hundreds of community rules and quickstart templates
Tuning rules is too complicated for most teams to handle on their own
Easy customization enables teams to adapt quickly and avoid professional services overhead.
Ease of Use
Developer-native UI with intuitive workflows makes it easy for both security teams and engineers.
Complex user experience that requires security expertise
Adoption rises when tools fit naturally into dev workflows.
False Positives
Uses Semgrep AI Assistant and Supply Chain for triage, reachability, memories, providing context to cut false positives by up to 95%
Generates lots of noisy low signal findings that developers often ignore due to alerts that lack actionable guidance or context
High-signal results build developer trust and ensure issues actually get fixed.
Market Perception
Recognized as modern and developer-first and trusted by customers
Perceived as a legacy tool that is slow, hard to use, and dependent on professional services
Developers and security practitoners want tools that future-proof their security stack, not add to the technical debt.
Open-source with active security community
Closed-source with limited community visibility
Open ecosystems mean faster innovation, shared rules, and greater transparency vs. vendor lock-in.
Lower cost of ownership, faster onboarding, and better long-term value with proven ROI in customer deployments
High cost of ownership with reliance on services, long setup, and internal admin overhead
Predictable pricing and quick time-to-value reduce ownership costs and risk in security investments.
Fast, real-time scanning in CI, PRs, and IDEs that keeps up with modern developer workflows.
Long scan cycles delay feedback and slow down dev teams
Modern AppSec only works if it keeps pace with development velocity
Semgrep AI Assistant and memories are built into the platform not bolted on. They offer trusted triage and autofix to reduce false positives by up to 95% accelerating remediation.
AI is a premium priced add-on, not integrated into core workflows. Adoption is low due to complexity and limited trust from developers.
Built-in AI accelerates fixes and reduces noise without extra cost or complexity.
Simple YAML-based rules that are flexible, readable, and supported by hundreds of community rules and quickstart templates
Tuning rules is too complicated for most teams to handle on their own
Easy customization enables teams to adapt quickly and avoid professional services overhead.
Developer-native UI with intuitive workflows makes it easy for both security teams and engineers.
Complex user experience that requires security expertise
Adoption rises when tools fit naturally into dev workflows.
Uses Semgrep AI Assistant and Supply Chain for triage, reachability, memories, providing context to cut false positives by up to 95%
Generates lots of noisy low signal findings that developers often ignore due to alerts that lack actionable guidance or context
High-signal results build developer trust and ensure issues actually get fixed.
Recognized as modern and developer-first and trusted by customers
Perceived as a legacy tool that is slow, hard to use, and dependent on professional services
Developers and security practitoners want tools that future-proof their security stack, not add to the technical debt.
Open-source with active security community
Closed-source with limited community visibility
Open ecosystems mean faster innovation, shared rules, and greater transparency vs. vendor lock-in.
Lower cost of ownership, faster onboarding, and better long-term value with proven ROI in customer deployments
High cost of ownership with reliance on services, long setup, and internal admin overhead
Predictable pricing and quick time-to-value reduce ownership costs and risk in security investments.
Fast, real-time scanning in CI, PRs, and IDEs that keeps up with modern developer workflows.
Long scan cycles delay feedback and slow down dev teams
Modern AppSec only works if it keeps pace with development velocity
Semgrep AI Assistant and memories are built into the platform not bolted on. They offer trusted triage and autofix to reduce false positives by up to 95% accelerating remediation.
AI is a premium priced add-on, not integrated into core workflows. Adoption is low due to complexity and limited trust from developers.
Built-in AI accelerates fixes and reduces noise without extra cost or complexity.
Simple YAML-based rules that are flexible, readable, and supported by hundreds of community rules and quickstart templates
Tuning rules is too complicated for most teams to handle on their own
Easy customization enables teams to adapt quickly and avoid professional services overhead.
Developer-native UI with intuitive workflows makes it easy for both security teams and engineers.
Complex user experience that requires security expertise
Adoption rises when tools fit naturally into dev workflows.
Uses Semgrep AI Assistant and Supply Chain for triage, reachability, memories, providing context to cut false positives by up to 95%
Generates lots of noisy low signal findings that developers often ignore due to alerts that lack actionable guidance or context
High-signal results build developer trust and ensure issues actually get fixed.
Recognized as modern and developer-first and trusted by customers
Perceived as a legacy tool that is slow, hard to use, and dependent on professional services
Developers and security practitoners want tools that future-proof their security stack, not add to the technical debt.
Leave legacy behind. Try Semgrep today.
Leading engineering teams use Semgrep to secure their code earlier in development, without impact to developer velocity.
