Introducing AI-Powered Exploit Validation and Remediation Guidelines
Security teams know that finding a vulnerability is only half the battle. The harder part is validating that it can be exploited and applying the right fix with confidence. Too often, remediation guidance is static, generic, or incomplete, leaving engineers guessing. This also strains the relationships between security and developers. As a result, vulnerable applications stay longer exposed to attackers.
That’s why we’re introducing AI-powered proof of exploit and remediation guidelines.
Example for SSRF vulnerability triggered by the Referer header in a JavaScript (jQuery) environment
From Static Snippets to Context-Aware Guidance
Previously, our remediation advice relied on code snippets tailored to specific frameworks. But vulnerabilities don’t happen in isolation. Every environment is unique.
Now, with the help of a specially trained Large Language Model (LLM), remediation guidance is dynamic, context-aware, and proof-backed.
This means you not only get precise instructions, but also a reproducible demonstration that the vulnerability is real and confirmation that the fix works.
What’s Included
With this release, remediation guidelines go beyond one-size-fits-all advice:
- Minimal Reproducible Test Cases: Clear, concise test cases to validate the vulnerability and remediation.
- Validation Steps: Step-by-step guidance to ensure remediation is correctly implemented.
- Expected Observations: Key things to expect after remediation to confirm effectiveness.
- Actionable Remediation Instructions: Contextual, tailored fixes that go beyond generic advice.
A Practical Example
Take an SSRF vulnerability triggered by the Referer header in a JavaScript (jQuery) environment. Our AI-powered guidelines will show:
- How the vulnerability can actually be exploited.
- Help you whitelist valid Referer headers
- Guide you in server-side validation to reject invalid requests
- Ensure internal access control to limit exposure to unauthorized service calls
No more guesswork. You see the exploit, you apply the fix, you validate it’s resolved.
Integration with Jira
To streamline your workflow, generated proof of exploit and tailored remediation guidance can be sent directly to your Jira tickets.
They saved a lot of time for us by quickly integrating with Jira and allowing us to actually create tickets with all of the remediation advice, all information about vulnerability, and it really sped up our process. - Michael Bourgault, Sr. Security Architect, Arkose Labs
Tickets are automatically created from the Ticketing tab. Everything is captured directly in the ticket, with a corresponding link to the vulnerability within the Escape platform.
Everything is captured directly in the ticket with a corresponding link to the vulnerability within the Escape platform.
In the first version of this release, you’ll need to quickly copy and paste the generated proof of exploit and remediation snippet into the ticket (which only takes a second!).
This ensures the development team has all the context they need to take action, while security teams can focus on more valuable tasks.
Why This Matters
- Accuracy → Fixes are tailored to your environment.
- Efficiency → Less time spent interpreting generic advice.
- Confidence → Every remediation comes with proof that the vulnerability was exploitable and validation that it’s resolved.
Ultimately, teams can spend less time chasing false starts and more time building, knowing vulnerabilities are effectively mitigated.
Conclusion
With this update, we’re taking vulnerability remediation to the next level.
By combining AI-powered proof of exploit with tailored remediation guidelines, we’re providing teams with the confidence to act faster and more effectively.
👉 Ready to try it out? Explore the new remediation experience in your dashboard today.