The release of the SecLens-R framework marks a watershed moment in the evaluation of Large Language Models (LLMs) for cybersecurity. For too long, the industry has relied on monolithic benchmarks that fail to account for the divergent needs of different security stakeholders. The SecLens-R research, as highlighted in recent OSINT from r/netsec, introduces a multi-dimensional evaluation structure that exposes a startling reality: a model that is 'secure' for an engineer may be 'dangerous' for a CISO. The framework evaluates models across 35 dimensions, including vulnerability recall, false positive rates, and 'AI-as-Actor' capabilities. The results are telling. Qwen3-Coder, for instance, achieved an 'A' grade under the 'Head of Engineering' profile, which prioritizes code completion and low-friction vulnerability detection. However, the same model received a 'D' from the 'CISO' profile, which penalizes false negatives and prioritizes the detection of critical, high-impact flaws. This 31-point disparity proves that 'AI Security' is not a binary state but a multi-objective optimization problem. The research also highlights the 'Tool-Use' (TU) vs. 'Code-in-Prompt' (CIP) paradox. Models often perform significantly better when given direct access to code snippets (CIP) than when they are required to use external tools to find vulnerabilities (TU). This suggests that the current generation of frontier models, including GPT-5.4, still struggles with the 'reasoning chain' required for complex security auditing. For the enterprise, the takeaway is clear: selecting an AI security partner based on a single leaderboard score is a strategic error. Organizations must define their 'Stakeholder Weighting'—balancing the cost of a missed vulnerability against the operational drag of false positives—before integrating LLMs into their DevSecOps pipelines. The SecLens-R framework provides the first rigorous methodology for this alignment, moving the conversation from 'Can AI find bugs?' to 'Does this AI meet our specific risk appetite?'