Fastly has introduced a set of controls designed to help organizations govern how applications and autonomous agents interact with artificial intelligence models and enterprise APIs. The release combines an AI Firewall, AI Runtime Control and expanded API Security capabilities, according to the company announcement reported by Security Today.
Prompt and model-access controls
The AI Firewall evaluates prompts before they reach a target model and is intended to identify attacks such as prompt injection. AI Runtime Control provides a centralized path for requests to public or self-hosted model providers. Fastly says the service can use virtual keys so applications do not need to expose provider credentials directly, while administrators can monitor usage, apply spending limits and define failover behavior.
These controls address a growing operational problem: AI applications may call multiple providers and tools, making policy enforcement difficult when every integration handles credentials and limits independently. A centralized control point can make access decisions and usage records more consistent, but organizations still need model-specific testing and human review for sensitive workflows.
API rules for AI agents
The new API Security functions apply established request rules to both conventional applications and AI agents. Requests can be reviewed or blocked when they are malformed, fall outside a defined interface or attempt an unsupported operation. That approach extends familiar API governance to agent-driven traffic without treating every model action as inherently trusted.
For broader context on protecting connected operational systems and application interfaces, see SectechMedia’s Cyber-Physical Security coverage. Deployment teams should validate logging, identity controls and exception handling before placing AI-mediated requests into production paths.
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