Adversarial testing, architecture review, and advisory support to help organizations safely build, test, and deploy AI-powered systems.
AI-powered applications introduce new attack surfaces that traditional application testing does not fully address. Cithonic evaluates how users, attackers, and untrusted inputs can manipulate AI features, expose sensitive data, or bypass intended controls. We also provide consultation to help teams design, improve, and securely implement AI application features.
Our AI Application Security Testing service helps organizations identify weaknesses in applications that rely on large language models, AI copilots, embedded assistants, automation flows, or prompt-driven features. In addition to testing, Cithonic offers consultation to review AI feature designs, recommend practical controls, validate implementation plans, and guide teams on safer design patterns before deployment.
LLM systems can be manipulated through carefully crafted prompts, indirect instructions, malicious documents, and adversarial workflows. Cithonic simulates realistic attacks to uncover where your AI controls fail and provides consultation to strengthen prompts, guardrails, and response controls.
Our LLM Red Teaming service evaluates how resilient your AI system is against adversarial users and malicious inputs. Cithonic also provides consultation for prompt security and LLM control design, helping teams review system prompts, improve instruction hierarchy, define safer response boundaries, and strengthen prompt-layer protections.
RAG systems can expose sensitive internal data when retrieval, indexing, access control, and source permissions are not properly designed. Cithonic reviews how your AI system retrieves and protects knowledge and provides consultation to improve secure RAG architecture.
Our RAG & Knowledge Base Security Review focuses on AI systems connected to internal documents, vector databases, collaboration platforms, wikis, tickets, cloud storage, or enterprise knowledge repositories. Cithonic also offers consultation to review retrieval architecture, access control models, document ingestion workflows, and response validation strategies.
AI agents become higher risk when they can call tools, trigger workflows, update systems, access data, or perform actions on behalf of users. Cithonic tests whether those agents can be abused and provides consultation to design safer agent workflows and control boundaries.
Our AI Agent & Tool Abuse Assessment evaluates systems where AI can interact with APIs, databases, ticketing platforms, email, messaging tools, code repositories, cloud services, or internal automation. Cithonic also provides consultation for AI agent design and governance, helping teams review permissions, approval requirements, execution boundaries, and human-in-the-loop controls.
Organizations need more than tools to adopt AI safely. Cithonic helps teams define practical AI security standards, prompt governance, usage policies, and secure development workflows through advisory consultation and program development.
Our AI Security Program & Prompt Governance service helps organizations build a repeatable foundation for secure AI adoption. Cithonic works with security, engineering, product, and leadership teams to define how AI systems should be designed, tested, approved, monitored, and improved over time.