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Introduction:
Workload Identity Federation eliminates the need for static API keys by granting AWS workloads temporary, cryptographically verifiable credentials to access external AI services like Anthropic’s . With two-thirds of AWS incident response cases involving initial access through long-term access keys or password combinations, shifting to short-lived, automatically rotated credentials dramatically reduces the risk of unauthorized API access and credential theft.
Learning Objectives:
- Implement IAM Outbound Identity Federation to call Anthropic APIs from AWS workloads without hardcoded API keys.
- Configure trust policies and OIDC identity providers to exchange AWS STS tokens for external API access.
- Audit and remediate long-lived credential usage across Linux and Windows cloud environments using native CLI tools.
- The Credential Crisis: Why Two-Thirds of AWS Breaches Start with Valid Keys
AWS’s Customer Incident Response Team (CIRT) reported at re:Inforce 2025 that roughly two-thirds of all cases involve threat actors gaining initial access through unintended use of valid credentials – primarily long-term access keys or username-password combos. Unlike temporary credentials that expire automatically, long-lived keys remain valid indefinitely until manually revoked. Attackers who discover a hardcoded key in a GitHub repository, log file, or environment variable can maintain persistent access for months.
Step‑by‑Step: Auditing Long‑Lived IAM Keys
Linux / macOS (AWS CLI):
List all IAM users and their access keys
aws iam list-users --query 'Users[].UserName' --output text | xargs -I {} aws iam list-access-keys --user-name {} --query 'AccessKeyMetadata[].[UserName,AccessKeyId,Status,CreateDate]' --output table
Find keys older than 90 days
aws iam list-access-keys --user-name admin-user --query 'AccessKeyMetadata[?CreateDate<=<code>2026-01-01</code>]'
Get last used timestamp for each key
aws iam get-access-key-last-used --access-key-id AKIAEXAMPLE
Windows PowerShell (AWS Tools):
Get-IAMUserList | ForEach-Object { Get-IAMAccessKey -UserName $_ } | Select-Object UserName, AccessKeyId, Status, CreateDate
Remediation: Immediately rotate or delete unused keys. Replace with IAM roles and instance profiles.
2. Setting Up Workload Identity Federation for Anthropic
Workload Identity Federation allows your AWS workload (EC2, Lambda, ECS) to obtain temporary credentials from AWS Security Token Service (STS) and exchange them for access to Anthropic’s APIs – no API key required. Anthropic acts as an OIDC identity provider trusting AWS-issued tokens.
Step‑by‑Step: Configure IAM Outbound Federation
- Create an IAM OIDC Identity Provider for Anthropic
In AWS Console → IAM → Identity Providers → Add Provider.
Provider URL:https://api.anthropic.com`sts.amazonaws.com`
<h2 style="color: yellow;">Audience:
2. Create an IAM Role with Trust Policy
Trust relationship allowing Anthropic’s OIDC to assume role:
{
"Version": "2012-10-17",
"Statement": [{
"Effect": "Allow",
"Principal": {"Federated": "arn:aws:iam::ACCOUNT:oidc-provider/api.anthropic.com"},
"Action": "sts:AssumeRoleWithWebIdentity",
"Condition": {"StringEquals": {"api.anthropic.com:aud": "sts.amazonaws.com"}}
}]
}
3. Attach Permissions to Access API
No native Anthropic IAM actions exist; instead, use a custom policy that allows `sts:AssumeRole` for the federation.
- From an EC2 Instance (with instance profile), request temporary credentials and call :
import boto3 import requests Get temporary credentials from instance metadata session = boto3.Session() credentials = session.get_credentials().get_frozen_credentials() Exchange for Anthropic access (pseudo-code based on Anthropic docs) response = requests.post( "https://api.anthropic.com/v1/messages", headers={"Authorization": f"Bearer {credentials.access_key}"}, json={"model": "-3-opus-20240229", "messages": [{"role": "user", "content": "Hello"}]} ) -
Cross‑Cloud and Hybrid Scenarios: From AWS to Anywhere
Because Workload Identity Federation uses standard OIDC, you can call from workloads running on GCP, Azure, on‑premise Kubernetes, or even a developer laptop – as long as you can obtain AWS STS web identity tokens.
Step‑by‑Step: Assume Role from Outside AWS Using Web Identity
- Create an IAM Role with Web Identity Trust
Trust policy allowing external OIDC issuer (e.g., Google, GitHub Actions):{ "Effect": "Allow", "Principal": {"Federated": "arn:aws:iam::ACCOUNT:oidc-provider/token.actions.githubusercontent.com"}, "Action": "sts:AssumeRoleWithWebIdentity" } -
Use AWS CLI from a non‑AWS machine to assume role:
Exchange OIDC token from your external identity provider aws sts assume-role-with-web-identity \ --role-arn "arn:aws:iam::ACCOUNT:role/FederationRole" \ --role-session-name "external-session" \ --web-identity-token file:///path/to/token.txt
-
Use the returned temporary credentials (
AccessKeyId,SecretAccessKey,SessionToken) to authenticate with . -
Hardening Your AI Pipeline: Combining WIF with Secret Vaults
Even with workload identity, LLM‑driven agents risk exposing credentials when they call third‑party APIs. Solutions like Coffer (open‑source MCP credential vault) proxy API requests, keeping secrets entirely out of model context. Adding Workload Identity Federation as an auth type removes the need to store any long‑term secret.
Step‑by‑Step: Deploy Coffer with WIF
1. Clone and run Coffer MCP server:
git clone https://github.com/annawhooo/coffer-mcp.git cd coffer-mcp python -m venv venv && source venv/bin/activate pip install -r requirements.txt
- Configure Coffer to use WIF for – edit
config.yaml:vaults: : auth_type: workload_identity_federation aws_role_arn: arn:aws:iam::ACCOUNT:role/FederationRole anthropic_endpoint: https://api.anthropic.com/v1/messages
3. Agent calls Coffer, not directly:
Agent sends tool call to Coffer endpoint
response = requests.post("http://localhost:5000/vault/", json={"prompt": "Summarize this"})
- Linux & Windows Commands for Monitoring STS Temporary Credentials
Detecting misuse of temporary credentials and auditing STS API calls helps identify compromised sessions before they cause damage.
Linux (AWS CLI + jq)
Monitor CloudTrail for AssumeRole events aws cloudtrail lookup-events --lookup-attributes AttributeKey=EventName,AttributeValue=AssumeRole --max-items 20 Show active temporary credential usage per role aws sts get-caller-identity Shows current temporary session ARN List all roles that can be assumed by OIDC federated identities aws iam list-roles --query 'Roles[?AssumeRolePolicyDocument!=null]' | jq '.[] | select(.AssumeRolePolicyDocument.Statement[].Principal.Federated)'
Windows (PowerShell + AWS Tools)
Search Event Viewer for STS logons (if logging enabled)
Get-WinEvent -LogName "Security" | Where-Object { $<em>.Id -eq 4624 -and $</em>.Message -like "STS" }
Using AWS CLI in PowerShell
aws cloudtrail lookup-events --lookup-attributes AttributeKey=EventName,AttributeValue=AssumeRoleWithWebIdentity --query 'Events[].CloudTrailEvent' --output text | ConvertFrom-Json
Pro tip: Set up CloudWatch alarms for `AssumeRoleWithWebIdentity` calls from unexpected geographic regions.
- Exploiting Weak IAM Configurations (and How to Fix Them)
Attackers harvest long‑lived keys from CI/CD logs, environment variables, and public code repositories using tools like TruffleHog. Once obtained, they can call any API – including – potentially incurring massive costs or extracting sensitive data.
Step‑by‑Step: Simulate an Attack & Mitigate with WIF
Attack Simulation (Linux):
Attacker finds hardcoded key in a dumped .bash_history cat /home/user/.bash_history | grep AWS_ACCESS_KEY_ID Use stolen key to call export AWS_ACCESS_KEY_ID=AKIASTOLEN export AWS_SECRET_ACCESS_KEY=... aws sts get-caller-identity Confirm access Then directly call Anthropic API using that key
Mitigation – Replace with Workload Identity:
1. Delete the long‑lived access key:
aws iam delete-access-key --access-key-id AKIASTOLEN --user-name victim-user
2. Attach an IAM role to the EC2 instance or Lambda function.
3. Modify application code to retrieve credentials from the metadata service:
Instead of hardcoded keys, use: session = boto3.Session() creds = session.get_credentials()
4. Ensure no backward‑compatible hardcoded keys remain.
7. Future‑Proofing AI API Access: Beyond API Keys
Organizations should adopt a “credential‑less” architecture for all AI API interactions. Workload Identity Federation sets the standard: short‑lived, automatically rotated, non‑human credentials bound to the workload’s identity, not a static secret.
Roadmap for Implementation
- Inventory all AI API keys across your org (OpenAI, Anthropic, Cohere, etc.).
- Prioritize workloads that can migrate to OIDC federation (AWS, GCP, Azure).
- Implement IAM Outbound Federation for and similar services as they add support.
- Enforce SCPs that block creation of long‑lived access keys for specific roles.
- Deploy secret‑less vaults (Coffer, HashiCorp Vault with JWT auth) for legacy systems.
What Undercode Say:
- Eliminate long‑lived credentials entirely – the AWS CIRT statistic proves that static keys are the 1 attack vector. Workload identity federation renders API key leaks irrelevant.
- OIDC federation is cross‑cloud and mature – you can use AWS STS tokens from GCP, Azure, or on‑prem Kubernetes, creating a unified identity plane for AI API access.
Analysis: The shift from “API keys as secrets” to “temporary workload identities” mirrors the evolution of cloud IAM itself – we no longer store database passwords in code; we use IAM roles for RDS. AI APIs are following the same necessary maturation. Anthropic’s outbound federation launch is a milestone, but adoption requires rewriting SDKs and pipelines. Expect other AI providers (OpenAI, Google Gemini) to release similar features within 12 months, and anticipate a new class of security tools focused on auditing STS token exchanges rather than scanning for leaked keys.
Prediction:
By 2027, more than 80% of enterprise AI API calls will use workload identity federation or equivalent OIDC‑based mechanisms. API key leaks will shift from a critical incident to a minor anomaly, as keys will either not exist or be rotated every few hours. However, attackers will pivot to targeting OIDC token issuance pipelines – compromising CI/CD systems to forge valid web identities. The next frontier will be real‑time token binding and hardware‑based identity attestation for AI workloads. Organizations that adopt workload identity today will have a significant head start in mitigating both current credential‑theft attacks and tomorrow’s token‑forgery vectors.
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IT/Security Reporter URL:
Reported By: Liam Wadman – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
