XY XYaiops

AI-powered vulnerability response

XYaiops

We are building an AI-powered vulnerability lifecycle management platform that helps engineering and security teams discover, prioritize, remediate, and verify vulnerabilities faster with less manual coordination.

Explore the platform About XYaiops

About XYaiops

Built for faster vulnerability response

XYaiops is an early-stage software startup focused on helping engineering and security teams respond to vulnerabilities with less manual coordination. We are building practical AI workflows that turn fragmented security findings into prioritized, owner-ready remediation work.

Our team is small, engineering-heavy, and product-focused. We are actively developing the first version of our platform and using AI-assisted development to iterate quickly on core product capabilities.

Company stage Early-stage startup founded in 2025
Team profile Approximately 10 people, mostly focused on coding and product development
Primary focus AI-assisted vulnerability triage, remediation, and verification workflows

Platform vision

One operating layer for the full vulnerability lifecycle

01

Continuous Discovery

Normalize findings from scanners, code, dependencies, tickets, and runtime signals into one response queue.

02

AI Prioritization

Combine severity, exploitability, business context, ownership, and SLA pressure into focused action queues.

03

Guided Remediation

Generate concise remediation plans, suggested owners, fix evidence, and developer tickets that fit existing engineering workflows.

04

Closed-loop Verification

Validate fixes automatically, track SLA progress, and preserve audit-ready proof across the full lifecycle.

Use cases

Designed for teams that need to move from finding to fix

Security Triage

Reduce duplicate findings, highlight exploitable issues, and explain why a vulnerability should be handled now.

Developer Handoff

Create clear action plans with affected component details, ownership clues, remediation guidance, and acceptance criteria.

SLA Tracking

Keep response work visible by severity, owner, due date, and current remediation status.

Fix Verification

Confirm that remediation work is complete and maintain evidence for review, audit, and customer security conversations.

How it works

From signal overload to verified risk reduction

1

Ingest

Normalize findings from scanners, SBOMs, code repositories, and runtime signals.

2

Reason

Use AI to correlate duplicate findings, enrich context, and explain impact.

3

Orchestrate

Route work to the right owners with fix guidance and SLA-aware prioritization.

4

Verify

Confirm remediation, update risk posture, and keep evidence ready for review.

Company

A focused technical team building with AI from day one

XYaiops is building its product as a lean engineering organization. Most team members contribute directly to software development, AI workflows, product design, and security engineering. Our development roadmap is centered on making vulnerability response faster, easier to coordinate, and more measurable.

Website xyaiops.com
Contact contact@xyaiops.com
Location Singapore
Product status In active development