lindy-security-basics

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Implement security best practices for Lindy AI agents and integrations. Use when securing API keys, configuring agent permissions, verifying webhooks, or auditing agent access. Trigger with phrases like "lindy security", "secure lindy", "lindy API key security", "lindy permissions", "lindy audit".

AI & Automation 2,266 stars 315 forks Updated today MIT

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# Lindy Security Basics ## Overview Security practices for Lindy AI agents. Agents are autonomous — they connect to external services, execute actions, and handle data. Security focuses on: API key management, webhook authentication, agent permission scoping, integration account isolation, and connection sharing controls. ## Prerequisites - Lindy account with API access - Understanding of which integrations your agents use - For Enterprise: SSO/SCIM configuration access ## Instructions ### Step 1: API Key Management ```bash # Store API key in environment variable — never in source code export LINDY_API_KEY="lnd_live_xxxxxxxxxxxxxxxxxxxx" # Or use a secret manager # AWS Secrets Manager aws secretsmanager create-secret \ --name lindy/api-key \ --secret-string "$LINDY_API_KEY" # Google Secret Manager echo -n "$LINDY_API_KEY" | gcloud secrets create lindy-api-key \ --data-file=- ``` **Key rotation schedule**: | Environment | Rotation Period | Method | |-------------|----------------|--------| | Development | 30 days | Manual regeneration | | Staging | 90 days | Automated via CI | | Production | 90 days | Secret manager + automated rotation | | Post-incident | Immediately | Manual regeneration + revoke old key | ### Step 2: Webhook Authentication Every webhook trigger generates a unique secret key. Verify it on every inbound request: ```typescript // Webhook signature verification middleware function verifyLindyWebhook( req: express.Request, res: express.Respons...

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Author
jeremylongshore
Repository
jeremylongshore/claude-code-plugins-plus-skills
Created
7 months ago
Last Updated
today
Language
Python
License
MIT

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