Cloud security is no longer about reviewing one provider at a time. Real environments span identities, APIs, managed services, third-party integrations, CI/CD, Kubernetes, serverless functions, storage layers, and provider-specific features that often get trusted more than they should. Cyfinoid’s cloud research focuses on how attackers actually discover and abuse those trust boundaries.
We are especially interested in multi-cloud and cloud-native environments where small mistakes can chain together: a weak identity assumption, an exposed service, an over-permissioned workload, a metadata path, an automation hook, or an unsafe integration that creates leverage far beyond its original scope.
Our goal is to help teams think about the cloud the way attackers do: through control planes, data planes, workload trust, service relationships, and the hidden assumptions that connect one system to another.
What We Study
- Multi-cloud attack paths and trust boundaries across providers
- IAM abuse, privilege escalation, and identity-driven compromise
- Metadata exposure, workload pivots, and service-to-service trust
- Storage, secrets, and API exposure in cloud-native environments
- Kubernetes, serverless, and automation-related attack surface
- Third-party dependencies and Internet-facing cloud recon
Why This Matters
Most defenders still organize cloud reviews around provider menus and service lists. Attackers do not. They look for repeatable building blocks: exposed assets, weak identity assumptions, dangerous defaults, automation mistakes, and relationships that can be chained into broader compromise.
That is why our cloud research emphasizes methodology over memorization. We want to understand which attack paths are provider-specific, which ones transfer across ecosystems, and where defenders should focus if they want to catch attacker thinking earlier.
Community Contributions
How This Research Gets Used
- Building practical recon and visibility tooling
- Improving attacker-informed cloud reviews and assessments
- Turning recurring findings into trainings, labs, and defensive guidance
- Helping teams understand where cloud architecture, automation, and supply chain risk overlap
Who This Research Helps
- Security teams reviewing modern cloud environments
- Red teamers and pentesters studying cloud abuse paths
- Platform teams responsible for identity, orchestration, and automation
- Engineering leaders who need a clearer model of cloud trust and exposure
If your team wants an attacker-informed view of modern cloud risk, this research also feeds directly into our cloud-focused trainings and private engagements.
