Securing your AI via AI Gateways

With the growing adoption of LLMs, AI gateway is also seeing a rise in demand. They make resource allocation more efficient, simplify how different systems connect, and give teams better visibility into their AI operations.

However, it's critical to recognize that while AI gateways deliver operational efficiencies, they don't inherently provide comprehensive security for AI workflows.

Why your AI gateway needs security support

AI gateways excel at managing API requests, optimizing resource usage, and providing visibility into model performance. But they aren't designed specifically to tackle unique security threats within AI applications. Without a dedicated security solution, organizations face several potential vulnerabilities.

Many gateways can log or route prompts, but miss the critical step of identifying and blocking dangerous inputs before damage occurs. When a developer unknowingly deploys a vulnerable prompt, users can craft malicious inputs that make models leak sensitive information or bypass safety guardrails. Without proper threat detection, these attacks simply pass through.

AI models sometimes process or generate content containing personal information, proprietary data, or confidential details. Standard gateways typically don't scan for this sensitive information, creating compliance and privacy risks that many organizations can't afford to ignore.

As AI systems grow more sophisticated, so do the methods used to compromise them. From prompt injections to adversarial examples designed to manipulate outputs, these specialized attacks require specialized defenses that most gateways don't provide.

Organizations in regulated industries need to demonstrate they're protecting data and following industry standards. Without security-focused tooling integrated into their AI infrastructure, meeting these requirements becomes significantly harder.

Building a secure AI infrastructure

To address these security gaps, organizations need solutions that work alongside their gateways to provide comprehensive protection. Tools like Pillar can help by adding protection layers specifically designed for AI interactions.

When combined with Portkey, Pillar creates a secure AI infrastructure that includes:

1. Real-Time Threat Detection and Prevention - Instantly identifies and blocks adversarial or malicious inputs before they reach your AI models or affect users.

2. Comprehensive Data Protection - Detects, monitors, and safeguards sensitive information throughout the AI workflow, preventing exposure or unauthorized usage of PII and proprietary data.

3. Holistic Security Monitoring - Provides continuous, comprehensive oversight across prompts, models, meta-prompts, tools, and outputs, offering complete risk visibility and mitigation.

4. Alignment with Industry Standards -Ensures adherence to established security frameworks like OWASP Top 10 for LLMs and MITRE ATLAS, embedding robust best practices into your AI operations.

Enhanced security through customized controls and automation

By embedding security at the gateway level, Portkey and Pillar empower organizations with advanced control and automation capabilities, including:

• Proactive Risk Management: Automatically blocking or flagging high-risk requests before they impact models.
• Detailed Audit Logging: Comprehensive security logs that facilitate regulatory compliance, audits, and investigations.
• Automated Security Insights: Collection and analysis of security events, enabling continuous improvement of security strategies.
• Intelligent Fallback Mechanisms: Automatic switching to alternative AI models when security risks are detected, ensuring service continuity.
• Secure Request Retries: Built-in retry mechanisms employ enhanced security parameters, minimize disruption, and maintain workflow integrity.

Security as a core infrastructure component

Operational efficiency and robust security can coexist seamlessly within AI workflows. The goal is to make security a core part of AI infrastructure rather than an afterthought. By doing this, enterprises achieve a more resilient, secure, and compliant AI ecosystem, transforming security from an afterthought into a foundational principle.

With Portkey's AI Gateway providing universal access to over 250 LLMs through a unified API, processing billions of tokens daily, and Pillar ensuring ongoing threat monitoring and protection, organizations can confidently scale their AI deployments without compromising security.