The agentic gateway for APIs, AI, and MCP
One control plane for every API call, LLM request, and AI agent — running natively on Akamai Connected Cloud. Cap runaway cost, prove governance, and turn traffic into revenue, without stitching together point tools.
MCPs
One control plane between your users, agents, APIs, and models — every call authenticated, metered, and audited.
The agentic shift
Agents are collapsing APIs, AI, and MCP into one surface to govern
When an agent calls a model, hits an API, and invokes an MCP tool in a single task, three control planes become one problem. AAM is the agentic gateway: every call — human or machine — authenticated, metered, and audited in one place.
Agents are the new consumers
Autonomous agents call your APIs and models at machine speed, around the clock. They need the same identity, quotas, and audit trail as any other consumer — enforced, not assumed.
Every tool call is an API call
MCP turns tools into endpoints. The moment an agent can invoke them, your MCP surface is an API surface — and it needs the same gateway in front of it.
One surface to govern
Splitting API, AI, and MCP traffic across separate tools means three policy engines and three audit logs. AAM governs all three on one control plane.
Three scenarios, one platform
One product, deployed for whichever problem the account has today
API Management, AI Gateway, and MCP Gateway aren't three products — they're the same engine, configured for three scenarios. Land on one, expand to the others without adding a vendor. Pick where the account is feeling pain.
API Management
APIs are your largest attack surface and your most leaked revenue — open endpoints, no quotas, billing that lives in docs instead of the control plane.
Authentication, dynamic rate limiting, quotas, and usage-based billing enforced at the edge.
Stop abuse, protect origin margin, and bill for exactly what you deliver.
AI Gateway
AI spend is unpredictable and ungoverned. One runaway agent can burn a month of LLM budget in hours, with no visibility into who or what.
Per-team token budgets, semantic caching, multi-provider routing, and prompt-injection blocking on one endpoint.
Cap spend with hard limits, cut cost with caching, and keep AI traffic safe.
MCP Gateway
Every MCP server an agent touches is one more thing to authenticate, scope, and audit — and the count is growing fast.
Publish governed MCP servers from your APIs and federate the ones your teams consume behind one control plane.
Ship MCP to customers and prove exactly what every agent can reach.
What it does for the business
Outcomes you can put in front of a buyer
Not features — results. Each maps to a line item a buyer already worries about.
Cut runaway cost
Dynamic rate limiting absorbs traffic spikes before they hit your origin; token budgets stop AI overspend with a hard cap, not an overage.
Shrink the attack surface
Auth, schema validation, and bot controls reject bad traffic at the edge — paired with Akamai App & API Protector in front.
Prove what's happening
Every API call, AI request, and MCP tool invocation is logged and attributed to a consumer, then exported to the SIEM you already run.
Turn traffic into revenue
Meter, price, and bill APIs and AI by request, token, or any unit that costs you — wired to Stripe from day one.
Resolve issues faster
Span-level tracing pinpoints the slow route from edge to origin, so problems get fixed before they become escalations.
Govern AI for the CISO
Scoped access, audit logs, secret masking, and prompt-injection defense answer the questions security teams actually ask.
Show, don't tell
The proof is in the dashboard
Spend attributed per team, every request logged and searchable. This is what the buyer's team sees on day one.
AI spend visibility
Every token, attributed to a team — under one budget
See exactly which workload drives LLM cost. AAM caps spend per team and halts requests at the ceiling, so a runaway agent can't blow the budget.
Representative data for illustration
Better together
Part of the Akamai stack, not bolted onto it
AAM is one layer of Akamai Connected Cloud. The edge, security, and observability the account already buys make the gateway stronger — and the gateway makes them more valuable.
Connected Cloud
AAM runs natively on Akamai's cloud — one vendor, one bill, no AWS/Azure/GCP in the data path.
App & API Protector
WAF, DDoS, and bot defense sit in front; AAM enforces identity, quotas, and policy behind them.
Firewall for AI
Inspects AI traffic for prompt injection and data exfiltration — layered with AAM's token and access controls.
CDN & GTM
Edge caching and global traffic routing put the gateway close to every user, with automatic regional failover.
TrafficPeak
Akamai's observability lake stores AAM's full request logs for long-term analytics and audit at low cost.
API Security
Discovers and classifies every API across the estate; AAM governs the ones that matter at runtime.
For Akamai sellers
How to position AAM
Who buys it
Platform, infrastructure, and security leaders accountable for cost, risk, and uptime across APIs and AI — often already running Akamai at the edge. The team that operates it advises on "does it work," but the budget owner is buying an outcome.
The pain
Unpredictable AI bills, API abuse hitting the origin, no single view of what's running, and revenue leaking through unmetered usage — across tools that don't talk to each other.
The one-liner
"One platform on Akamai to control the cost, security, and revenue of every API, AI model, and agent — and it gets better with the Akamai products you already own."
Put a price on it for the account in front of you
The pricing calculator turns a customer's call volume, regions, and peak RPS into a concrete quote — bring the price to the conversation, not after it.