Remediation engineer
A remediation engineer in your chat
It lives in Slack and Microsoft Teams. It finds who owns the fix, explains the vulnerability in the owner's context, follows up until the fix ships, and holds the SLA. The chasing is its job, not your team's.
Follow-through
It chases fixes to done
A drafted fix still needs a human to review, merge, and deploy. The engineer owns that last mile from inside your chat, and the reminders and status threads are its job. This is the conversation it runs for every confirmed finding.
- Slack
- Microsoft Teams
Find who owns the fix
Code ownership, on-call, and team structure point it to the right engineer.
Remediation engineer
A verified SQL injection in the coupon endpoint of checkout-service. Code ownership points to your team, so I'm bringing it straight to you.
Explain the vulnerability in their context
What it is, where it lives in their code, and why it matters now.
Remediation engineer
It's reachable from the public API before auth. The fix is a parameterized query in the coupon lookup. The PR is open with the reproduction attached.
Service owner
Got it, reviewing after standup.
Follow up until the fix ships
Reminders and status threads in the owner's channel, so nothing stalls quietly.
Remediation engineer
The PR has been quiet for two days and the path is still exploitable. Anything blocking the review?
Service owner
Merged, deploying this afternoon.
Hold the SLA
It escalates before a deadline slips and reports what is at risk.
Remediation engineer
Fix verified on the live path. Closing the finding inside SLA. Regression watch takes it from here.
Illustrative conversation, showing the engineer's playbook, not customer data. When the fix merges, the card moves to Closed and regression watch re-tests the path.
The board
One place every finding lives
Each column is owned by an agent stage. A card only moves right when the work behind it is done. No manual triage in between.
Exposed GraphQL introspection
Outdated TLS on partner edge
Public S3 listing on assets bucket
IDOR on invoice endpoint
JWT audience not validated
Cross-env IAM assume role
SSRF via webhook validator
Reflected XSS in search
verified fix mergedSecret in build log
verified fix mergedIllustrative board. Card IDs and issues are examples of the workflow, not customer data.
How a card moves
Four stages, each owned by an agent
A vulnerability is never just an alert waiting for a person. It moves only when an agent has finished the work that stage requires.
Intake
Scanner output, agent findings, and inbound reports land in one queue, deduplicated against the Memory Layer so the same issue never appears twice.
Verifying
Each finding is tested for real exploitability in a scoped environment. Anything that can't be reproduced is closed as noise before it reaches a human.
Fix drafted
For confirmed issues, the agent writes the patch, opens a PR, and files the ticket, with the reproduction and blast radius attached as evidence.
Closed
Once the fix merges, the path is re-tested on a schedule. If it regresses, it reappears on the board as a fresh finding.
Why it's different
Your team works closures, not queues
The board only surfaces work that's real and ready. The triage that usually eats a security team's week happens before a human ever looks.
No triage tax
Agents run the first pass. Engineers review verified findings with a drafted fix, never raw scanner output.
Prioritized by reachability
Severity reflects how your systems actually connect and what an attacker can reach, not CVSS in isolation.
Nothing reopens silently
Closed paths are re-tested on a schedule. A regression comes back as a new card, not a surprise in production.
Put senior-level security engineering on every system you own
See SecNode's agents run a live investigation against a real environment.