AgentCore Policy intercepts every tool call with deterministic Cedar enforcement. ECP versions, audits, and policies the prompt that drove the agent to attempt the call — for every Bedrock foundation model and every Amazon Lex intent.
AgentCore Policy intercepts agent-to-tool traffic with deterministic Cedar policies. It cannot be reasoned around. It also cannot govern the instruction that produced the proposed tool call in the first place. Both layers are necessary for complete agent governance — AgentCore ships one. ECP is the other.
AgentCore covers the tool call surface. ECP covers the reasoning input that produced it.
| Capability | AWS native | With ECP |
|---|---|---|
| Deterministic tool call enforcement (Cedar) | ||
| Behavioral quality evaluation | ||
| Infrastructure & API observability | ||
| Agent identity & access control (IAM) | ||
| Agent instruction versioning & rollback | ||
| System prompt drift detection | ||
| Instruction-level audit trail | ||
| Cross-agent instruction adherence scoring | ||
| Policy enforcement at reasoning input | ||
| Foundation model swap impact tracking | ||
| Lex intent + Bedrock agent unified governance |
Deterministic tool call enforcement (Cedar)
Behavioral quality evaluation
Infrastructure & API observability
Agent identity & access control (IAM)
Agent instruction versioning & rollback
System prompt drift detection
Instruction-level audit trail
Cross-agent instruction adherence scoring
Policy enforcement at reasoning input
Foundation model swap impact tracking
Lex intent + Bedrock agent unified governance
Instruction (System Prompt / Agent Baseline)
│
▼ ← ECP governs here
LLM Reasoning Chain
│
▼
Proposed Tool Call
│
▼ ← AgentCore Policy governs here
Cedar Policy Gate
│
▼
Tool ExecutionBedrock's model-agnostic architecture is a competitive advantage — Claude Sonnet, Nova Pro, Llama, Titan, Mistral, swappable without platform migration. AWS's own best-practices documentation recommends instrumenting for prompt-version performance comparison across models. CloudTrail captures the API call. AgentCore Observability monitors the quality metrics after the fact. Neither produces a versioned instruction record that maps a specific prompt state to a specific set of agent decisions — the audit artifact regulated industries need when an autonomous agent took a consequential action.
Enterprise voice and chat deployments on AWS typically run Amazon Lex as the conversation orchestration layer with Bedrock Agents handling complex reasoning and action execution. These are governed in separate silos — Lex audit logs don't show Bedrock orchestration prompt drift, and AgentCore Observability doesn't show Lex intent changes. ECP provides unified instruction governance across the full Lex + Bedrock Agent stack — one versioned registry, one audit trail, one drift signal across the combined deployment.
Every Lex intent definition, Bedrock Agent orchestration prompt, action group instruction, and knowledge base configuration — tracked, versioned, and diff'd. Attributed to the IAM principal that made the change, with behavioral impact assessment attached.
When you migrate agents between Bedrock foundation models — or when AWS updates an underlying model version — ECP runs a behavioral baseline comparison and flags affected agents for review before the swap touches production traffic.
AgentCore Policy gates which tool calls execute. ECP validates that the agent's current instruction state is within your approved governance baseline before reasoning starts. Drifted prompts are surfaced before the agent runs, not after it acts.
Running 50 Bedrock Agents across AWS accounts and regions? ECP monitors instruction variance across your fleet. When an agent diverges from its baseline — prompt edit, model update, knowledge base change — it's flagged as a governance event, not a quality signal.
CloudTrail logs the API call. AgentCore Evaluations scores the output. ECP logs the instruction state at the moment the agent began reasoning — system prompt version, action group config, knowledge base snapshot, and the policy baseline that authorized the autonomous decision.
The AWS-native instinct is to instrument it yourself: CloudTrail for events, Lambda for processing, DynamoDB for storage. It works — and it's 6–8 weeks of engineering plus ongoing maintenance. ECP is the productized version, connected to your Bedrock deployment in 2–3 days.
Teams deploying Bedrock Agents at production scale who are building instruction governance manually — CloudWatch dashboards, prompt versioning in DynamoDB, ad hoc drift detection scripts — and want that surface productized.
Owners of multi-account Bedrock deployments across regions and teams who need a unified instruction registry that spans account boundaries the way CloudTrail spans organizational units.
Regulated AWS customers — financial services, healthcare, government — where Bedrock Agent autonomous actions create audit obligations that CloudTrail and AgentCore Evaluations together don't satisfy at the instruction level.
Teams building on Amazon Lex + Bedrock Agent for enterprise voice and chat who need unified governance across both layers that no single AWS-native tool currently provides.
You can. CloudTrail for events, Lambda for processing, DynamoDB for storage, CloudWatch for alerting — it works. It's also 6–8 weeks of engineering to reach parity with ECP's day-one feature set, and ongoing maintenance as your agent fleet scales. ECP is the productized version of the infrastructure AWS-native teams build themselves: prompt registry, drift detection, policy enforcement, and audit export pre-built and connected in 2–3 days. The build-vs-buy decision is yours. ECP exists for the teams where 6–8 weeks has a real cost.
Connect ECP to your AWS environment via IAM role and service principal.
Import current Lex intent definitions, Bedrock Agent orchestration prompts, and action group configurations.
Define instruction baselines and policy ruleset per agent and risk tier.
Enable drift monitoring, model swap impact assessment, and instruction-layer policy enforcement.
Estimated setup: 2–3 days for a standard Bedrock deployment
Ellavox AI runs Elacity ECP across ~1,000 active agents in production — spanning voice, workflow, and AWS-integrated use cases. Not a reference architecture. The same control plane shipping to Bedrock enterprise customers now.
Flat governance capability pricing. Not per agent. Not per call. Not per token.
Scale your Bedrock Agent fleet however AWS enables it. ECP cost stays predictable.
Built for the instruction layer between your Cedar policies and your foundation models.