Application-Native vs Remote Security Policies: A Technical Guide
Compare application-native and code-native security rules with remote policies, including ownership, architecture, Arcjet, Datadog AI Guard, and Runlayer.
18 min readArcjet Learning Center
Learn how to secure production AI workflows, enforce agent actions, protect APIs, stop automated abuse, and control resource use inside your application.
Identity, architecture, and runtime controls for agents that call tools, access data, and take actions.
Compare application-native and code-native security rules with remote policies, including ownership, architecture, Arcjet, Datadog AI Guard, and Runlayer.
18 min readCompare in-code, proxy, AI gateway, and security-agent controls by visibility, enforcement, context, latency, failure modes, and threat coverage.
17 min readAI agent on-behalf-of authorization: delegated identity, OAuth token exchange, actor claims, credential downscoping, runtime policy, and audit trails.
22 min readAI agent runtime security for unauthorized tool calls, prompt injection, sensitive data, automated abuse, action sequences, and production cost controls.
12 min readApplication-layer guidance for securing APIs, stopping automated abuse, and controlling resource consumption.
API security best practices for authentication, object authorization, input validation, webhooks, abuse controls, monitoring, and continuous testing.
14 min readAPI abuse explained: how bots automate valid operations for fraud, scraping, account takeover, and cost exhaustion, and how application controls stop them.
13 min readCompare token bucket, sliding window, fixed window, and leaky bucket rate limits by fairness, burst handling, state cost, and distributed API trade-offs.
8 min read