EresusSecurity
Application Security Testing

Combine source code, runtime application, and manual testing into one risk decision.

Eresus combines code, running application, API, identity, business logic, secret, and release-pipeline signals to turn application security testing from scanner output into a proof-driven program.

Best fit

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

Source code analysis, secret scanning, and dependency signals
Runtime application, endpoint, and user-flow testing
API, auth, tenant, and business logic testing
CI/CD release gates and retest process

Risk signals

Scanner findings fail to translate into real exploit impact
Code-level risk is missed at runtime
API and business-logic flaws fall between tools
Release gates have high noise and low confidence

Outcomes

Application security testing program scope
Source code, runtime, and manual test priority matrix
Reproducible exploit evidence
DevSecOps release-gate recommendations
AppSec operating model

Turn application security from a tool list into a decision system.

01

Problem

We identify which app, API, repository, and release flow carry material risk.

02

Attack scenario

We combine code signals, runtime surfaces, and business logic abuse in one attack path.

03

Proof

Findings are validated with exploit steps, HTTP requests, code traces, secret evidence, or CI output.

04

Delivery

Source code analysis, runtime testing, manual validation, and DevSecOps gates become one prioritized program.

FAQ

The questions buyers want answered early.

How do you scope this engagement?+
We start from assets, business workflows, authorization boundaries, and the attack paths that could create material risk. Scope is shaped around exploitability, not checklist volume.
What do we receive at the end?+
You receive proof-backed findings, business impact framing, developer-ready remediation guidance, and a retest path for closure.
Do you help with remediation and retest?+
Yes. We work through remediation direction and validate critical fixes so the team can close risk without guesswork.

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.

Next step

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.