This AI security test was brutal Rasa just destroyed the competition. Lakera, an AI security firm, pitted a Rasa agent against a prompt-driven LLM agent. The results? Not even close. The prompt-based LLM: ☒ Leaked sensitive data ☒ Got tricked into swearing + producing harmful content ☒ Even stalled for 45 seconds in loops Meanwhile, Rasa: ☑ Blocked prompt injections ☑ Had zero content safety violations ☑ Stayed reliable under stress Therefore, most LLM agents can be tricked. Rasa can’t. And in a world where 88% of enterprises are upping their AI budgets, that difference matters. Check it out here: https://lnkd.in/dVnf-ki4
Hamna Aslam Kahn, Rasa AI just changed the game completely. It’s not just competing anymore it’s setting a whole new standard.
Seeing Rasa outperform like this highlights how critical robust AI security is. Hamna Aslam Kahn
AI reliability and security are quickly becoming the biggest differentiators in enterprise adoption. At trakintel.ai, we’re seeing the same trend; businesses don’t just want powerful AI; they need systems that can think securely and stay resilient under real-world conditions. Rasa’s results here highlight exactly why robust agent architecture matters.
The gap in safety and control between prompt-based and structured agents is becoming clearer.
In a future built on AI, safety isn’t optional, it’s everything.
I’ve seen MSPs explode once they automate repeat admin work.
This is a fascinating breakdown of the challenges in AI security. It’s impressive to see Rasa’s resilience in such a demanding test. In a rapidly evolving AI landscape, insights like these are a reminder that reliability and safety can’t be compromised. Well done, Hamna, for highlighting such an essential aspect of AI development.
That’s a pretty clear gap in performance.
It's game changer
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2dAs more companies deploy AI across workflows, reliability and data protection will matter more than raw capability. Security has to scale with intelligence.