What is AppSec Assistant?
AppSec Assistant enhances software development lifecycle security by providing automated, AI-powered security recommendations directly within Jira Cloud. The platform enables organizations to scale their application security efforts while reducing manual review bottlenecks.
The solution offers flexible deployment options, including integration with OpenAI's API or Meta's Llama 3 Model for PRO users, with the capability to implement custom LLM deployments. With a focus on data security, the platform ensures sensitive information remains within trusted environments while empowering developers to consider security implications from the earliest stages of development.
Features
- AI-Powered Recommendations: Automated security suggestions for Jira tickets
- Flexible AI Integration: Support for OpenAI, Llama 3, and custom LLM deployments
- Data Security: Ensures sensitive information stays within trusted environments
- Simple Configuration: Quick setup with OpenAI API key integration
- Developer-Centric: Streamlines security reviews without slowing development
Use Cases
- Automated security review of development tickets
- Implementing secure-by-design practices
- Scaling application security processes
- Reducing AppSec review bottlenecks
- Security education for development teams
FAQs
-
Can I use my own LLM model instead of OpenAI?
Yes, AppSec Assistant offers custom deployments that can use your own LLM infrastructure, and also provides a PRO version that uses Meta's Llama 3 Model. -
How does AppSec Assistant protect sensitive data?
AppSec Assistant is designed with security in mind, ensuring that your data and OpenAI API key remain within your trusted environments and never leave your control. -
How long does it take to set up AppSec Assistant?
Setup is simple and quick, requiring only the addition of your OpenAI API key and optionally your organization information to get started.
Related Queries
Helpful for people in the following professions
AppSec Assistant Uptime Monitor
Average Uptime
99.95%
Average Response Time
128.7 ms
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