Securing your AI via AI Gateways
Blog post from Portkey
As the adoption of large language models (LLMs) increases, the demand for AI gateways is rising due to their ability to enhance resource allocation, streamline system integration, and improve visibility into AI operations. Despite these benefits, AI gateways do not inherently offer comprehensive security for AI workflows, leaving organizations vulnerable to unique threats like malicious prompts and adversarial attacks that can compromise sensitive data. To address these security gaps, tools like Portkey and Pillar provide real-time threat detection, data protection, and alignment with industry security standards, thereby creating a secure AI infrastructure. By integrating security measures at the gateway level, these solutions enable proactive risk management, detailed audit logging, and automated security insights, ensuring that operational efficiency and robust security coexist within AI workflows. This approach allows organizations to scale their AI deployments confidently, transforming security into a foundational component of AI infrastructure rather than an afterthought.
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