CyberMira is a developer-oriented cybersecurity assistant designed to retrieve structured security material before Gemini writes an answer. In a September 30, 2026, DEV Community submission, its creator, Alphonse Kazadi, describes a pipeline in which Sanity stores the knowledge, application logic selects relevant topics, Sanity Context MCP retrieves material, and Gemini turns it into an explanation. That retrieval-first design aims to ground answers in evidence; the published description does not establish that the answers are accurate or independently tested.
What CyberMira is—and what its creator reports
CyberMira is presented as a tool for developers asking cybersecurity questions, rather than a general-purpose consumer security product. Kazadi’s submission reports a knowledge base of 36 structured entries covering OWASP Top 10:2025 categories, vulnerabilities, attack patterns, detection techniques, mitigations, technologies, and security references. The count and description come from the author’s September 30, 2026, post, not an independent inventory: the project submission.
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The author says the project uses Sanity project ID zf6ckuvp, the production dataset, a Knowledge Base named CyberMira Knowledge Base, and Knowledge Base ID kbDqGgqkpnBN. These are details reported in the post, not a verification of the project’s current live configuration.
How a question moves through the system
The design separates the security material from the software that retrieves it and the model that explains it. As described by Kazadi, a React/Vite interface sends a developer’s question to a FastAPI backend. The backend chooses relevant knowledge paths, Sanity Context MCP retrieves corresponding material from the CyberMira Knowledge Base, and Gemini generates an answer using that retrieved evidence.
- Ask: A developer submits a question through the React/Vite frontend.
- Route: The FastAPI backend identifies security topics or knowledge paths relevant to the question.
- Retrieve: Sanity Context MCP fetches matching structured material from the knowledge base.
- Explain: The backend supplies that material to Gemini to generate a readable response.
In the author’s example, “How can I prevent broken object-level authorization in a REST API?”, the backend may select paths such as access_control, attack_patterns, and mitigation. The intended distinction is that Gemini generates the explanation, while the knowledge base and retrieval step provide the security material it is asked to use. Kazadi describes Sanity’s role this way: “Sanity is therefore not just being used as a CMS. Its structured content and Knowledge Base are part of the reasoning pipeline.”
Why model security content as structured entries?
According to the submission, CyberMira uses separate schemas for vulnerabilities, technologies, attack patterns, detection techniques, mitigations, and OWASP categories instead of putting everything into one large text block. That organization gives the application concepts it can select and retrieve along with a question. It also makes the knowledge layer more inspectable than relying solely on a model’s general training.
This is an architectural choice, not evidence that retrieval is complete or that a generated answer is correct. The project description does not report retrieval-recall measurements, a security audit, an answer-quality benchmark, or an independent evaluation.
Grounding is an aim, not a correctness guarantee
Sanity’s glossary defines grounding as tying model output to specific, retrievable source material so claims can be connected to evidence. It distinguishes grounding—the desired property of an answer—from retrieval-augmented generation (RAG), an architecture that retrieves information and then generates text: Sanity’s grounding glossary.
CyberMira’s described retrieval-first flow is intended to support grounded answers, but retrieval alone cannot show that every generated claim follows from the retrieved material. The model can still misstate, omit, or add information. The submission provides no independent results demonstrating how often that happens or how well the system handles missing or conflicting evidence. Kazadi summarizes the design goal as: “The goal is simple: retrieve structured security knowledge first, then generate the explanation.”
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What the public description does—and does not—establish
The submission says a demo was publicly accessible without an account when the author wrote the post. That is a time-sensitive statement, not a guarantee that the demo remains available. The post also does not include a separate agent-session transcript. It does not establish the current repository or deployment state, the exact Gemini model version, operational performance, security posture, or independent answer testing.
Those limits matter when considering CyberMira’s intended use: a retrieved explanation can help a developer explore a security question, but the available evidence does not support treating it as a verified security review or as proof that a suggested mitigation is safe for a specific application.
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