Cithonic helps organizations secure AI applications, LLM-powered workflows, RAG systems, autonomous agents, and prompt-driven interfaces before attackers can exploit them.
From prompt injection and data leakage to unsafe tool use and AI workflow abuse, we assess how real-world adversaries can manipulate modern AI systems and provide practical remediation, consultation, and implementation guidance.
Security testing and consultation for AI-powered applications, chatbots, copilots, and intelligent workflows. We identify prompt abuse, data exposure, unsafe outputs, access control weaknesses, and design gaps.
Adversarial testing and prompt security consultation for LLM systems. We uncover jailbreaks, prompt injection paths, policy bypasses, system prompt leakage, and unsafe response behavior.
Security review and architecture consultation for retrieval-augmented generation systems, internal document search, vector databases, and knowledge workflows to reduce unauthorized data exposure.
Security assessment and consultation for AI agents that call tools, APIs, databases, email, tickets, code repositories, or automation workflows. We evaluate unsafe actions, excessive permissions, and missing approval controls.
Consultation for secure AI adoption, prompt governance, internal AI usage policies, AI risk management, secure development workflows, and developer enablement.
At Cithonic, we help organizations safely build, test, and deploy AI-powered systems. We identify weaknesses in AI workflows, simulate realistic abuse cases, and provide practical remediation and consultation to reduce risk. Our team advises implementation teams, validates security controls, and guides secure AI design so clients can adopt AI with confidence.