Want to use GenAI Safely in Application Security?
Follow these 7 steps
Want to use GenAI Safely in Application Security?
Follow these 7 steps
Checkmarx
Use AI to empower developers and AppSec teams to make application security easier.
You’ve heard about the challenges of AI in application security – let’s talk about the opportunities! Checkmarx One helps you leverage the power of AI to find efficiencies and plug skill gaps among security professionals and developers.
What’s in it for you
AI Security enables developers to use AI code generation tools securely, empowers AppSec professionals with their own AI productivity tools, and protects against the newest threats posed by AI adoption.
Use secure generative AI to reduce the time to identify and fix security flaws
Democratize AppSec with AI Security and support both AppSec teams and developers in closing security or tool-specific knowledge gaps
Save developers time and effort by integrating AppSec directly into the AI code generation workflow and tools
We’re building the AI-powered enterprise AppSec platform of the future
Empower your teams with AI security tools. Make application security easier for developers and security professionals with AI Security
AI Security Champion
Use Generative AI tools to suggest remediation steps for identified vulnerabilities, to reduce time to identify and fix security flaws
Query Builder for SAST and IaC
GenAI-guided assistance helps your team write queries quickly and efficiently, helping you tailor AppSec solutions to your applications
ChatGPT Integration
Integrate directly into ChatGPT to automatically scan generated source code and open source libraries, as well as identify malicious packages
GitHub Copilot Integration
Automatically scan generated source code and open source libraries, and identify malicious packages, directly within Copilot
Use Generative AI tools to suggest remediation steps for identified vulnerabilities, to reduce time to identify and fix security flaws
GenAI-guided assistance helps your team write queries quickly and efficiently, helping you tailor AppSec solutions to your applications
Integrate directly into ChatGPT to automatically scan generated source code and open source libraries, as well as identify malicious packages
Automatically scan generated source code and open source libraries, and identify malicious packages, directly within Copilot
Checkmarx One
Checkmarx One delivers a full suite of enterprise AppSec solutions in a unified, cloud-based platform that allows enterprises to secure their applications from the first line of code to deployment in the cloud.
Get everything your enterprise needs to integrate AppSec across every stage of the SDLC and build a successful AppSec program.
Application Security Posture
Management (ASPM) Consolidated, correlated, prioritized insights to help your team manage risk
Code
AI PoweredConduct fast and accurate scans to identify risk in your custom code.
Eliminate shadow and zombie APls and mitigate API-specific risks.
Identify vulnerabilities only seen in production and assess their behavior.
Supply Chain
AI PoweredEasily identify, prioritize, remediate, and manage open source security and license risks.
Catalog and track all software components to enhance security and ensure compliance.
Detect and remediate malicious or suspicious third-party packages that may be endangering your organization.
Cloud
AI PoweredScan container images, configurations, and identfy open source packages and vulnerabilities preproduction and runtime.
Automatically scan your laC files for security vulnerabilities, compliance issues, and infrastructure misconfigurations.
Dev Enablement
Secure code training to upskill your developers and reduce risk from the first line of code.
Built to accelerate AppSec teams and help developers secure applications from the first line of code.
Services
Maximize ROI with prioritized technical support, metrics monitoring, and operational assistance.
Augment your security team with Checkmarx services to ensure the success of your AppSec program.
Assess the current state of your AppSec program, benchmark against peers, and get actionable next steps for improvement.
Unified Dashboard & Reporting
Application Security Posture
Management (ASPM)
AI Powered
Code
Static Application Security Testing (SAST)
Conduct fast and accurate scans to identify risk in your custom code.
API Security
Eliminate shadow and zombie APls and mitigate API-specific risks.
Dynamic Application Security Testing (DAST)
Identify vulnerabilities only seen in production and assess their behavior.
Supply Chain
Software Composition Analysis (SCA)
Easily identify, prioritize, remediate, and manage open source security and license risks.
Software Bill of Materials (SBOM)
Catalog and track all software components to enhance security and ensure compliance.
Malicious Package Protection
Detect and remediate malicious or suspicious third-party packages that may be endangering your organization.
Cloud
Container Security
Scan container images, configurations, and identfy open source packages and vulnerabilities preproduction and runtime.
IaC Security
Automatically scan your laC files for security vulnerabilities, compliance issues, and infrastructure misconfigurations.
Attacks can use this flaw in LLMs to spread malicious packages by first asking an LLM for a package to solve a coding problem. The attacker will then comb through the potential responses, find those that are unpublished packages, then publish their own in the places indicated by the LLM. The next time a user asks a similar coding question of the LLM, they may now be fed the same answer, with a link to the newly created malicious package.
You can mitigate attacks against AI-generated code in the same way you would secure code written by other LLMs, or by humans directly: you can have it tested by developers who understand secure coding practices, hire penetration testing teams to review the code, and/or pass the code through a variety of application security testing (AST) tools.
AI code review is the same as other code reviews – and similarly, the trick to making it secure is in how an AppSec team partners with developers to make it as seamless and easy as possible to secure.
That is why Checkmarx is developing its suite of AI Security tools, including in-tool, in-line scanning. By scanning code with the AI code generator itself, Checkmarx makes it easy and seamless for developers to interact with AppSec and secure their code from the first line.
ChatGPT is just one specific example of an AI Large Language Model (LLM) that developers can use to generate code. And similarly to other security threats, you cannot prevent attacks, but you can mitigate them.
You can mitigate attacks against ChatGPT-generated code in the same way you would secure code written by other LLMs, or by humans directly: you can have it tested by developers who understand secure coding practices, hire penetration testing teams to review the code, and pass the code through a variety of application security testing tools.
AI code review is the same as other code reviews – and similarly, the trick to making it secure is in how an AppSec team partners with developers to make it as seamless and easy as possible to secure.
That is why Checkmarx is developing its suite of AI Security tools, including in-tool, in-line scanning. By scanning code with the AI code generator itself, Checkmarx makes it easy and seamless for developers to interact with AppSec, and secure their code from the first line.
An “AI-powered cyberattack” can mean one of several things:
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