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AI Product @Amazon | Startup Investor | 2X Linkedin Top Voice for AI, Data Science, Tech, and Innovation | Quantum Computing & Web 3.0 | I use technology to scale and improve compliance processes | Content Creator
In today’s fast-evolving AI landscape, Securing AI sucks, yet is absolutely essential! Luckily, there are startups, like Aporia, which are tackling the roadblocks that prevent AI from being secure for a responsible AI deployment with innovative AI Guardrails technology. You should read more about their Securing AI Sucks campaign here to learn how they are doing it: https://lnkd.in/g4mVz6Rw 🔹Why does securing AI remain complex for CISOs and security professionals? Well, the team analyzed over 1,500 discussions among security specialists, who shared the following concerns: AI unpredictability, the inadequacy of traditional security tools, and challenges with monitoring and integrating AI systems. 🔹To address these challenges, Aporia built a multiSLM detection engine, a new approach that utilizes multiple small language models (SLMs) instead of a single, large model, delivering the robust AI guardrails that meets business security requirements. 🔹Their Guardrail infrastructure, designed to handle data leakage and breaches, PII mis-handling, prompt injections, adversarial attacks, and more, provides precise control over AI and user behavior while minimizing latency. 🔹A solution that is not only scalable, but also ensures AI security is at the forefront of engineers minds, with high-accuracy, privacy-sensitive and real-time results across various applications. 🔹Aporia’s AI Guardrails represent the future of secure, responsible AI. You should definitely check out the link above to understand why it is important to implement a security layer within your architecture, and how to go about it. How are you securing AI? Have you tried AI Guardrails? Do share your experience with the community below. #data #genai #technology #artificialintelligence