EresusSecurity
Pentest, red team, API, cloud, and AI security validation in one offensive program.
Proof-Driven Offensive Security

Prove AI, API, and cloud risk before it reaches production.

Eresus combines penetration testing, red team operations, API and cloud review, AI security validation, and evidence-first reporting in one scoped engagement.

Exploit evidence

Reproducible path, affected asset, impact, and evidence for each critical finding.

Fix direction

Developer-ready remediation notes instead of vague security wording.

Retest path

Clear closure criteria so risk does not remain as an open report item.

eresus.console / sample stream
Live scan
87Risk
8
Surfaces
23
Paths
Finding map
1,284sample telemetry
Live findings feedUpdates every 4s
  • Broken link takeover and exploitation
    scanner: /link-check
    Medium
  • Schema manipulation and bypass
    api: /schema-check
    High
  • RAG poisoning via malicious documents
    llm: /knowledge-base
    Critical
  • System prompt leaked to user
    agent: /customer-ai
    High
  • Secret returned in agent output
    agent: /ops-runner
    Critical

Examples from the Ecosystems We Assess

Hugging Face logoHugging Face
DeepSeek logoDeepSeek
Docker logoDocker
Atlas Research logoAtlas Research
Coverage

The surfaces attackers actually chain together.

Explore solutions

AI agents

Prompt, memory, RAG, tool-use, MCP, and model intake workflows.

APIs

REST, GraphQL, OAuth, tokens, and service-to-service authorization boundaries.

Cloud

IAM, exposed services, secrets, and cloud attack-path validation.

External attack surface

Forgotten assets, takeover risk, and internet-facing services.

Why Eresus

Not scanner theater. Proof that helps teams close real risk.

Eresus Security runs offensive security work across web, API, cloud, red team, and AI systems. The goal is not alert volume. The goal is to prove what can actually be abused, show impact clearly, and help teams fix the right thing first.

  • Critical findings arrive with reproducible proof and attack-path context.
  • Engineering gets remediation direction; leadership gets priority and closure clarity.
  • Research, advisories, and service pages carry the detail so the homepage stays focused.
Open trust and reporting model
Redacted proof snapshots
Proof package

Findings that engineering can reproduce

Each critical issue is delivered with affected surface, reproduction path, impact, evidence, and a clear remediation direction.

Attack path

Single bugs become a chain only when they are proven

API, cloud, identity, agent, and external exposure signals are tested together so teams can see the path that matters.

Closure

Retest turns the report into a closed risk record

Remediation is verified after the fix so security, engineering, and leadership share one closure view.

See redacted case studies
How It Works

A pilot starts with the riskiest path, not the broadest checklist.

The fastest way to buy down security risk is to scope the highest-impact surface, validate the exploit path, then close it with engineering-ready guidance.

01

Scope the highest-risk surface

We start from the app, API, cloud path, AI agent, or exposure edge that carries the highest business impact.

02

Validate the exploit chain

The engagement proves what a real attacker can chain together instead of stopping at scanner output or theoretical risk.

03

Close with remediation and retest

Engineering receives reproducible evidence, remediation direction, and a retest path to confirm closure.

Frequently asked questions

Clarify scope and engagement model quickly.

Clear answers about scope, timing, AI security coverage, and how an Eresus engagement starts.

Full FAQ
What does Eresus Security do?+
Eresus Security is an offensive cybersecurity company providing penetration testing, API security testing, AI/LLM security assessments, red team operations, and attack surface management.
How can I work with Eresus Security?+
Contact us through our contact page. After a scoping call, we provide a project plan and proposal tailored to your environment.
Do you test AI and LLM applications?+
Yes. We assess prompt injection, indirect prompt injection, tool misuse, RAG data leakage, and agent security across AI/LLM-powered applications.
How long does a penetration test take?+
A standard web application pentest takes 5-10 business days depending on scope. Larger engagements are scoped during the initial planning call.
What industries does Eresus Security serve?+
We serve fintech, SaaS, e-commerce, healthcare, AI companies, government/defense, and any organization with modern cloud infrastructure.
What do we receive at the end of an engagement?+
Each critical finding includes impact, reproduction steps, evidence, affected assets, remediation direction, and retest notes when needed.
How is this different from an automated scan?+
Automated scans create signals. Eresus validates those signals through workflow, authorization, data impact, and attack-chain context. The goal is proven exploitable risk, not alert volume.

Ready to pressure-test your modern attack surface?

Tell us what you are shipping. We will help scope a pilot around the riskiest agent, app, API, cloud, or external exposure path.