What is AppSec Assistant?

AppSec Assistant Automated security recommendations are delivered directly inside Jira Cloud, enabling teams to address vulnerabilities at the ticket level without leaving their workflow. Integration with OpenAI or Meta’s Llama 3 model, or a custom LLM, lets organizations choose the language model that matches their compliance and performance needs.

Data remains within the user’s trusted environment; the OpenAI API key is stored locally and never exits the secure boundary. The plug‑in requires only an API key and optional organization identifier, making deployment fast for developers and security teams.

By generating actionable recommendations with a single click, AppSec Assistant shortens the manual review cycle and helps maintain secure‑by‑design principles throughout the software development life cycle. Custom deployments for Jira Cloud are available, allowing organizations to host the tool on their own infrastructure while preserving data sovereignty.

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AppSec Assistant's key features

Automated security recommendations
Data stays within trusted environment
Easy OpenAI API key setup
Llama 3 model alternative
One-click ticket recommendations
Custom LLM integration
Reduces security review bottleneck

AppSec Assistant use cases

Automatically generate tailored remediation steps for new vulnerability tickets in Jira, leveraging OpenAI, Meta Llama 3, or custom LLMs to deliver secure-by-design recommendations while keeping all data on‑prem for full data sovereignty compliance
Integrate real‑time risk scoring and priority triage directly within Jira workflows, allowing security teams to instantly assess severity and receive LLM‑generated mitigation plans without leaving the ticket interface
Embed threat‑modeling prompts and compliance checks into Jira issue creation, giving developers instant, context‑aware security recommendations that remain confined to the organization’s secure environment