Prioritize cloud misconfigurations by real attack paths.
Eresus reviews IAM privilege escalation, public exposure, secret leakage, lateral movement, and workload-boundary risk across AWS, Azure, GCP, and Kubernetes with controlled offensive validation.
This engagement creates value fastest for teams like these.
Security and engineering leadership
Teams that need exploit-backed proof before they reprioritize application, API, cloud, or identity work.
Product teams with customer-facing risk
Organizations shipping auth-heavy, multi-tenant, regulated, or internet-exposed systems where logic and authorization flaws matter.
Buyers who need proof, not alert volume
Programs that want reproducible findings, remediation direction, and a closure path instead of scanner noise.
Scope
Risk signals
Outcomes
Not scanner output. Offensive work that produces proof.
Scope and objective
We align assets, workflows, user roles, testing windows, and safe operating boundaries before execution starts.
Expert validation
Eresus analysts validate exploitability and business impact instead of forwarding automated scanner output.
Proof, fix, retest
Each finding ships with evidence, impact, remediation guidance, and retest steps so teams can close risk quickly.
The questions buyers want answered early.
How do you scope this engagement?+
What do we receive at the end?+
Do you help with remediation and retest?+
We tie risk to business impact.
Findings do not stop at severity labels. We explain which customer workflow, data class, or operational objective is affected.
Deliverables work for engineers and executives.
Engineering teams get reproducible proof and remediation direction; leadership gets the risk narrative, priority, and closure status.
Research and advisories that support this service motion.
Cloud Security: AWS IAM Flaws and One-Click Privilege Escalation
Why do 80% of organizations using Cloud Computing (AWS, Azure) suffer massive breaches strictly through misconfigured Identity and Access Management...
GitOps Security in ArgoCD Architecture: How to Protect Your K8s Clusters
ArgoCD and GitOps architectures rely on a Single Source of Truth. Learn how attackers exploit supply chain vulnerabilities and the detailed guidelines...
Kubernetes (K8s) Penetration Testing Playbook: The Black Box Approach
How do cyber attackers breach your Kubernetes (K8s) clusters from the outside without prior knowledge? An in-depth look into Black Box Kubernetes...
ERESUS-ADV-2026-002: Server-Side Request Forgery (SSRF) via Cloud Metadata Endpoints
Server-side request forgery in cloud-hosted URL fetch flows can expose metadata services, temporary IAM credentials, and internal configuration.
Zero-Day Analysis: Authenticated SSRF in n8n-mcp (GHSA-4ggg-h7ph-26qr)
Authenticated SSRF in n8n-mcp multi-tenant HTTP mode allows attackers with a valid token to force server-side requests to internal and cloud metadata resources.
Let’s scope this work against the surface that matters most.
Whether this starts as a pilot, a single application, a critical API, an AI agent flow, or a wider program, we start from the highest-impact surface.