Stress-test LLM products with realistic adversarial scenarios.
Eresus validates prompt injection, jailbreak, sensitive data leakage, tool abuse, and policy bypass risk across chatbots, RAG systems, copilots, agents, and LLM flows connected to production APIs.
This engagement creates value fastest for teams like these.
AI product and platform teams
Teams shipping LLM, RAG, MCP, agent, or model-intake workflows into internal or customer-facing environments.
Security leaders expanding into AI
Organizations that already run pentest programs and now need guardrail, prompt, and tool-abuse validation.
Teams that need explainable hardening
Groups that need policy, prompt, MCP, and runtime findings translated into concrete mitigations and release decisions.
Scope
Risk signals
Outcomes
A red-team flow from problem framing to release decision.
Problem
We identify which data, tools, customer flows, and decision boundaries the LLM can touch.
Attack scenario
We design prompt injection, RAG poisoning, jailbreak, and tool-abuse tests around real use.
Proof
Each successful scenario is backed by prompt, response, tool-call, log, and reproduction evidence.
Delivery
Findings ship with priority, OWASP LLM mapping, fix direction, and retest steps.
The questions buyers want answered early.
What AI surfaces do you test?+
Is this just prompt injection testing?+
Do you translate findings into engineering actions?+
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.
Beyond Jailbreaks: Contextual Red Teaming for Agentic AI
Why traditional prompt jailbreaking is insufficient, and how contextual red teaming is required for multi-step agentic systems.
Automated Red Teaming Scans of Agentic Workflows Using Eresus Sentinel
We are thrilled to announce the integration of Eresus Sentinel with Enterprise Agents, a groundbreaking step in securing LLM application deployments.
The Art of LLM Jailbreaking: Demystifying Offensive Prompt Engineering
How do Red Teamers bypass the safety filters of Large Language Models? Dive deep into the manipulative art of LLM Jailbreaking, DAN prompts, and...
Unauthenticated Remote Code Execution via Arbitrary Command Injection in MCPHub Server Registration
MCPHub accepts attacker-controlled command and args values during server registration and spawns them through STDIO, enabling full remote code execution on the host.
Authentication Bypass via skipAuth Configuration Grants Full Admin Access in MCPHub
When skipAuth is enabled, MCPHub bypasses both authentication and admin authorization checks, allowing any unauthenticated user to access privileged API functionality.
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.