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Product
Product overview

See how dev-centric DAST for the enterprise secures your business.

Web attacks

Continuous security testing for web applications at high-scale.

API attacks

Safeguard your APIs no matter how often you deploy.

Business logic attacks

Future-proof your security testing with green-flow exploitation testing.

LLM attacks

Next-gen security testing for LLM & Gen AI powered applications and add-ons.

Interfaces & extensions

Security testing throughout the SDLC - in your team’s native stack.

Integrations

Connecting your security stack & resolution processes seamlessly.

Docs

Getting started with Bright and implementing it in your enterprise stack.

Book a demo

We’ll show you how Bright’s DAST can secure your security posture.

Resources
Blog

Check out or insights & deep dives into the world of security testing.

Webinars & events

Upcoming & on-demand events and webinars from security experts.

Docs

Getting started with Bright and implementing it in your enterprise stack.

Case studies

Dive into DAST success stories from Bright customers.

Research

Download whitepapers & research on hot topics in the security field.

Company
About us

Who we are, where we came from, and our Bright vision for the future.

News

Bright news hot off the press.

Webinars & events

Upcoming & on-demand events and webinars from security experts.

We're hiring

Want to join the Bright team? See our open possitions.

Bug bounty

Found a security issue or vulnerability we should hear about? Let us know!

Contact us

Need some help getting started? Looking to collaborate? Talk to us.

Bright for GitHub Copilot

Accelerate code generation in your organization without introducing security vulnerabilities with Bright’s LLM powered security unit testing extension for GitHub Copilot.

Take shift-left security testing to new velocity

With the modern enterprise attack surface only growing, spanning web-facing, cloud-native, APIs, LLMs, applications and more, it’s more critical than ever for organizations to shift security testing left to maintain an effective and efficient security posture.

Test early

With AppSecs outnumbered 500 to 1 by developers, shifting the burden of security testing left and distributing it throughout the SDLC has become more critical than ever. With Bright for Copilot your developers get access to best-of-breed DAST testing from the comfort of their IDEs.

Test better

Cover all your bases with Bright’s comprehensive security testing payload. Continuously updated with mainstream attacks and tests such as OWASP Top 10, OWASP API Top 10, Mitre 25, NIST, etc, and attacks and tests from Bright’s in-house research team.

Test automatically

Bright for Copilot leverages a built-in LLM to automate the security test selection process for developers. With a click of a button it will understand the functions of your code and suggest the right security unit tests to be implemented.

Test like an expert

No in-depth security testing know-how or understanding is required. Not only can Bright for Copilot automate the security unit test selection process if needed, but it will also provide detailed reasoning as to why tests were selected.

Don’t force developers to use tools that weren’t designed for them

Get Bright for GitHub Copilot

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Test where your team works best

Work collaboratively across your engineering and security organization with native Bright integrations tailored to the SDLC stage and processes your teams own.

Built for enterprise-grade scale & security

Built for enterprises with high-scale concurrent scanning needs without sacrificing an inch on security and standard. SSO, RBAC, audit logs all on demand.

Resources

06/10/2024

Bringing DAST security to AI-generated code

AI-generated code is basically the holy grail of developer tools of this decade. Think back to just over two years ago; every third article discussed how there weren’t enough engineers to answer demand; some companies even offered coding training for candidates wanting to make a career change. The demand for software and hardware innovation was only growing, and companies were asking themselves, with increasing concern, “How do we increase velocity?” Then OpenAI came out with ChatGPT, and all of a sudden, LLMs and AI-powered tools and platforms were everywhere. One of which is AI-generated code.

In this post, I will walk you through security in the context of AI-generated code and show you a live example of how DAST security testing can be applied to AI-generated code.

02/27/2024

Analyzing the Limitations of OWASP JuiceShop as a Benchmarking Target for DAST Tools

10/19/2023

Using SAST and DAST Integration for Reducing Alert Fatigue

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