Active AI Security Signals

The Cycode article identifies prompt injection as one of the most prominent and commonly cited AI security vulnerabilities in 2026, describing how attackers craft inputs to override intended model behavior across many AI applications.[5] The piece focuses on general AI security controls and attack patterns, not on any single breach or incident, framing prompt injection as a systemic weakness that must be addressed in architecture and operations. From a CyberSE.AI perspective, this directly implicates the need for secure agent design (strict role/system prompts, input/output mediation, least-privilege tools) and targeted business-logic reviews to find where instructions can be subverted. Ongoing AI red teaming is also warranted to continuously probe for new injection techniques against deployed agents and RAG workflows before adversaries do.

SecurityWeek reports that exploit code was published for a critical Flowise RCE flaw, where attackers can trick users into importing a malicious chatflow and then execute arbitrary code on self-hosted Flowise servers. Related reporting shows Flowise vulnerabilities have repeatedly enabled remote code execution through AI workflow and MCP-related logic, including prompt-injection-style abuse of agent components.[1][6][7] CyberSE.AI analysis: this is best classified as prompt injection because the reported attack path relies on manipulating AI workflow inputs to trigger unsafe execution, and it warrants testing of chatflow import controls, agent logic, and hostile input handling.