1. Incoming Knowledge
Agents ingest security signals, ecosystem changes, and exploit context.
About us
For years, security tools got better at finding issues. But teams still struggled with the work that came after: understanding what mattered, fixing it, and proving risk went down.
Cysmiq was built for that missing layer.
WHY NOW
Before AI, resolving AppSec findings at scale was mostly manual. Tools could detect, rank, and route issues, but the hard work still depended on human triage, developer time, and slow remediation workflows.
Agents ingest security signals, ecosystem changes, and exploit context.
We analyse each issue in context before generating logic.
Detection logic is tested for accuracy, coverage, and safety.
Validated rules run across your code, dependencies, and environments.
Findings and outcomes improve models, logic, and coverage.
Validated coverage becomes the knowledge that starts the next loop.
How We Build
Cysmiq is not just an AI-native product. It is built by an AI-native operating model. We are building a lean, senior, highly leveraged team where people work with agents, pipelines, and automation across product development, security research, customer-facing operations, and internal systems. Fewer handoffs. Faster iteration. Better systems. More value passed back to customers.
Founders
Co-Founder & CTO
Career security engineer and founder of Guardrails.io, a code-security scanner used by real engineering teams. Background across penetration testing, source-code review, DevSecOps, and application security products.
Building Cysmiq for the security engineer he used to be: drowning in findings, distrustful of noisy tools, and looking for a system that actually closes the loop.
Co-Founder & CEO
Engineering leader and company builder with deep experience in product execution, scaling software teams, and bringing complex products to market. Focused on building the operating system behind Cysmiq: small senior teams, high leverage, fast iteration, and disciplined execution.
Building Cysmiq so the company can move with the same leverage and discipline the product gives customers.
Turn noisy security findings into prioritised, validated pull requests your team can review and merge.