AI & LLM Security
— MCP-Enabled Apps
Proof-driven AI & LLM Security for organizations in MCP-Enabled Apps. We deliver validated exploit evidence, not automated scanner noise.
Free Scoping CallMCP-Enabled Apps delivery and security model
Controlled AI security validation for agentic applications with MCP servers, tool actions, and identity boundaries.
Focus areas
- MCP registration and identity boundaries
- Tool abuse and over-permissioned execution
- Prompt/RAG-driven data leakage
- Runtime and rollout decisions
Delivery notes
- Testing follows real adversarial workflows
- Guardrails and permissions are clarified
- Release risk is summarized before production rollout
Decision matrix
MCP-Enabled Apps is not just a service label; it states how each control is validated and which evidence is expected at closure.
| Control | Decision question | Validation | Expected evidence |
|---|---|---|---|
| MCP registration and identity boundaries | Does MCP registration and identity boundaries create real risk? | Validated against the relevant code, request, configuration, or runtime behavior in AI & LLM Security. | Testing follows real adversarial workflows |
| Tool abuse and over-permissioned execution | Does Tool abuse and over-permissioned execution create real risk? | Validated against the relevant code, request, configuration, or runtime behavior in AI & LLM Security. | Guardrails and permissions are clarified |
| Prompt/RAG-driven data leakage | Does Prompt/RAG-driven data leakage create real risk? | Validated against the relevant code, request, configuration, or runtime behavior in AI & LLM Security. | Release risk is summarized before production rollout |
| Runtime and rollout decisions | Does Runtime and rollout decisions create real risk? | Validated against the relevant code, request, configuration, or runtime behavior in AI & LLM Security. | Testing follows real adversarial workflows |
What if MCP registration and identity boundaries fails?
Eresus maps this area to real user-flow or delivery-pipeline impact, so the finding is not left as a generic technical label.
What if Tool abuse and over-permissioned execution fails?
Eresus maps this area to real user-flow or delivery-pipeline impact, so the finding is not left as a generic technical label.
What if Prompt/RAG-driven data leakage fails?
Eresus maps this area to real user-flow or delivery-pipeline impact, so the finding is not left as a generic technical label.
Proof-Driven Methodology
Discovery
Attack surface mapping & asset enumeration
Analysis
Penetration testing beyond automated scanners
Exploit & Proof
PoC validation for every finding
Report & Retest
Remediation code + free retest
Frequently Asked Questions
What decision does MCP-Enabled Apps clarify?
MCP-Enabled Apps clarifies exploitability, affected workflows, and release impact for AI & LLM Security with evidence rather than scanner noise.
What evidence is included in MCP-Enabled Apps?
Testing follows real adversarial workflows Also, Guardrails and permissions are clarified. Retest criteria and ownership notes are included for closure.
How is this different from an automated scanner report?
Automated findings are not forwarded as-is; false positives are removed, abuse paths are proven, and remediation priority is explained.
Why Eresus Security?
Proof-Driven Reporting
Every finding is validated with a real exploit. No scanner noise — only proven risks.
Offensive Security Expertise
Specialized team in AI security, API pentesting, Red Team operations, and cloud security review.
Retest Support
Fixes are revalidated within the agreed engagement scope. Remediation guidance and developer-friendly notes are included.
Evidence-Ready Deliverables
Report format designed to support internal review, remediation tracking, and evidence-oriented workflows.
Related Service Areas
Validate Your Security Posture
Don't rely on scanner outputs. We execute the same techniques real attackers use — in a controlled environment, for you.
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