Securing APIs in Cloud Services

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Summary

Securing APIs in cloud services means protecting the digital connections that let different apps communicate and share data, ensuring only trusted parties can access the information and preventing misuse. APIs act as gateways to cloud resources, making their security critical for both privacy and cost management.

  • Audit API access: Regularly review who and what is using your API keys and service accounts, and rotate them frequently to prevent unauthorized use.
  • Set usage limits: Apply rate limits and quotas to your APIs to control traffic and prevent accidental or malicious overuse that could result in unexpected bills or downtime.
  • Monitor activity: Continuously log and analyze API behavior for unusual patterns or spikes, so you can catch breaches or misuse quickly before they become costly or damaging.
Summarized by AI based on LinkedIn member posts
  • View profile for Josh S.

    Head of IAM @ 3M | Cloud Identity, IGA, PAM, NHI | AI Identity Governance & Enterprise Identity Platforms

    6,041 followers

    APIs are not just an attack surface. They are identity infrastructure. Most organizations still treat API security as an AppSec or network problem. It’s not. Every API call is: • An authentication event • An authorization decision • A data access request • A trust relationship If your identity program does not include API discovery and protection, it is incomplete. Here is a practical way to think about it. ⸻ 1️⃣ Discover Your API Identity Layer Start with three questions: • How many APIs exist across cloud, SaaS, and on-prem? • Which ones are externally exposed? • Which ones issue, validate, or exchange tokens? Discovery must include: • API gateway inventory • North-south and east-west traffic analysis • OpenAPI / Swagger specification review • Code repository scanning for undocumented routes • Detection of hardcoded secrets and static keys Dedicated API security platforms and Non-Human Identity (NHI) platforms focus on continuous API discovery, shadow API detection, and runtime traffic analysis. Native capabilities inside Microsoft and Google Cloud can also provide visibility when configured correctly. If you cannot map it, you cannot govern it. ⸻ 2️⃣ Treat APIs as Non-Human Identities APIs: • Consume OAuth tokens • Trust upstream services • Expose structured data objects • Operate with defined privileges That is identity behavior. Your governance model should include: • OAuth scope rationalization • Service-to-service mTLS enforcement • Short-lived tokens instead of static API keys • Secrets lifecycle management • Claim design aligned to least privilege • Continuous validation of JWT attributes Broken Object Level Authorization is not just an application flaw. It is an authorization design failure. ⸻ 3️⃣ Shift From Access Validation to Behavioral Assurance Traditional WAF controls check signatures. Modern API security must detect: • Token replay • Excessive object access • Abnormal request sequencing • Business logic abuse • Privilege escalation via parameter tampering Especially as AI agents begin making autonomous API calls at machine speed. “Valid token” does not equal “legitimate behavior.” Zero Trust at the API layer means continuously validating both identity and intent. ⸻ The Strategic Lens APIs are the control plane of modern digital business. Control planes must be: • Discoverable • Governed • Observable • Continuously validated Digital transformation expands velocity. It also expands trust relationships. If APIs sit at the heart of your architecture, they must sit at the heart of your identity strategy. The future security leader does not just secure endpoints. They secure trust flows.

  • View profile for Nishant Thorat

    Cloud Cost Problems? Let’s fix it | CloudYali | Cloud Cost Visibility | Cost Management | FinOps

    4,939 followers

    A startup just got hit with a $450,000 Google Cloud bill in just 45 days. Their normal monthly spend? $1,500. What happened? Their API key was compromised, resulting in 19 billion character translations. The worst part? They didn't know until the bill arrived. This isn't just about money - it's about survival. A $450K unexpected bill could sink most startups. Three critical lessons I've learned running cloud infrastructure: First, treat your API keys like your house keys. You wouldn't leave your front door unlocked, would you? Regular security audits, key rotation, and access reviews aren't optional anymore - they're essential hygiene. Second, cloud cost management isn't just about optimization - it's also about protection. Set up a layered budget and cost alert system. For a $1,500 monthly spend, you want alerts at: • 25% ($375) - Early warning • 50% ($750) - Mid-month check-in • 75% ($1,125) - Time to review usage • 100% ($1,500) - Monthly budget hit • Any sudden spike over 10% of daily average Third, and this is crucial for AI/ML workloads - implement usage quotas and rate limiting. AI services can rack up costs exponentially faster than traditional compute resources. One compromised endpoint can burn through your yearly budget in days. Quick checklist for everyone running cloud services: • Have you set up billing alerts? • When was your last security audit? • Are your API keys properly scoped and rotated? • Do you have rate limiting in place? • Is there a hard billing cap on your projects? Don't wait for a $450K surprise to start thinking about these. Prevention costs pennies compared to the cure. What's your take on cloud cost management? Have you had any close calls? Reddit post link: https://lnkd.in/diaSgC3B

  • Non-human identities (NHIs) — think API keys, service accounts, automation credentials — are silently taking over: in many orgs, they now outnumber human credentials 50:1. With 46% of companies confirming, and another 26% suspecting, NHI compromise last year, the risk is real and escalating . These machine-based credentials are often over-provisioned, poorly tracked, and rarely audited. That makes them prime targets for attackers seeking undetected, long-lived access. To tackle this hidden threat: • Inventory & Rotate: Identify every non-human credential and enforce regular rotation. • Apply Least Privilege: Grant each NHI only the exact permissions it needs. • Monitor Usage: Log and analyze abnormal behavior around service accounts and API keys. • Automate Governance: Use CI/CD checks and IAM tools to enforce security policies. It’s time to step beyond standard identity controls — because when your machine creds are at risk, your entire stack is too. #IdentityManagement #DevSecOps #CloudSecurity #APIKeys #AutomationSecurity 🔗 https://lnkd.in/dGpNfyqk

  • View profile for Brij kishore Pandey
    Brij kishore Pandey Brij kishore Pandey is an Influencer

    AI Architect & Engineer | AI Strategist

    715,783 followers

    𝟮𝟬 𝗧𝗼𝗽 𝗔𝗣𝗜 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗧𝗶𝗽𝘀 1. 𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁 𝗦𝘁𝗿𝗼𝗻𝗴 𝗔𝘂𝘁𝗵𝗲𝗻𝘁𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗔𝘂𝘁𝗵𝗼𝗿𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Make sure only authorized users can access your APIs. Use strong authentication methods, such as OAuth or OpenID Connect, and grant users the least privilege necessary to perform their tasks. 2. 𝗨𝘀𝗲 𝗛𝗧𝗧𝗣𝗦 𝗘𝗻𝗰𝗿𝘆𝗽𝘁𝗶𝗼𝗻: Encrypt all traffic between your APIs and clients to protect sensitive data from being intercepted by attackers. 3. 𝗟𝗶𝗺𝗶𝘁 𝗗𝗮𝘁𝗮 𝗦𝗵𝗮𝗿𝗶𝗻𝗴: APIs should only expose the data that clients need to function. Avoid exposing sensitive data, such as personally identifiable information (PII). 4. 𝗦𝘁𝗼𝗿𝗲 𝗣𝗮𝘀𝘀𝘄𝗼𝗿𝗱𝘀 𝗦𝗲𝗰𝘂𝗿𝗲𝗹𝘆: Hash passwords before storing them in a database. This will help to prevent attackers from stealing passwords if they breach your database. 5. 𝗨𝘀𝗲 𝘁𝗵𝗲 '𝗟𝗲𝗮𝘀𝘁 𝗣𝗿𝗶𝘃𝗶𝗹𝗲𝗴𝗲' 𝗣𝗿𝗶𝗻𝗰𝗶𝗽𝗹𝗲: Give users and applications only the permissions they need to perform their tasks. This will help to minimize the damage if an attacker gains access to an API. 6. 𝗥𝗲𝗴𝘂𝗹𝗮𝗿 𝗨𝗽𝗱𝗮𝘁𝗲𝘀: Keep your API software up to date with the latest security patches. 7. 𝗗𝗶𝘀𝗮𝗯𝗹𝗲 𝗗𝗲𝗳𝗮𝘂𝗹𝘁 𝗘𝗿𝗿𝗼𝗿𝘀: Default error messages can sometimes reveal sensitive information about your API. Configure your API to return generic error messages instead. 8. 𝗦𝗲𝗰𝘂𝗿𝗲 𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: Use secure methods for managing user sessions, such as using secure cookies with the HttpOnly flag set. 9. 𝗖𝗦𝗥𝗙 𝗧𝗼𝗸𝗲𝗻𝘀: Use CSRF tokens to prevent cross-site request forgery attacks. 10. 𝗦𝗮𝗳𝗲 𝗔𝗣𝗜 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻: Your API documentation should not contain any sensitive information. 11. 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗧𝗲𝘀𝘁𝗶𝗻𝗴: Regularly conduct security testing of your APIs to identify and fix vulnerabilities. 12. 𝗧𝗼𝗸𝗲𝗻 𝗘𝘅𝗽𝗶𝗿𝗮𝘁𝗶𝗼𝗻: Implement token expiration to prevent attackers from using stolen tokens for extended periods. 13. 𝗦𝗲𝗰𝘂𝗿𝗲 𝗗𝗮𝘁𝗮 𝗩𝗮𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻: Validate all user input to prevent injection attacks. 14. 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗛𝗲𝗮𝗱𝗲𝗿𝘀: Use security headers to protect your API from common attacks, such as XSS and clickjacking. 15. 𝗖𝗢𝗥𝗦 𝗖𝗼𝗻𝗳𝗶𝗴𝘂𝗿𝗮𝘁𝗶𝗼𝗻: Configure Cross-Origin Resource Sharing (CORS) to restrict access to your API from unauthorized origins. 16. 𝗧𝗵𝗿𝗼𝘁𝘁𝗹𝗲 𝗟𝗼𝗴𝗶𝗻 𝗔𝘁𝘁𝗲𝗺𝗽𝘁𝘀: Throttle login attempts to prevent brute-force attacks. 17. 𝗔𝗣𝗜 𝗩𝗲𝗿𝘀𝗶𝗼𝗻𝗶𝗻𝗴: Use API versioning to allow you to make changes to your API without breaking existing clients. 18. 𝗗𝗮𝘁𝗮 𝗘𝗻𝗰𝗿𝘆𝗽𝘁𝗶𝗼𝗻: Encrypt data at rest and in transit to protect it from unauthorized access. 19. 𝗟𝗼𝗴𝗴𝗶𝗻𝗴 𝗮𝗻𝗱 𝗔𝘂𝗱𝗶𝘁𝗶𝗻𝗴: Log all API access and activity to help you detect and investigate security incidents. 20. 𝗥𝗮𝘁𝗲 𝗟𝗶𝗺𝗶𝘁𝗶𝗻𝗴: Implement rate limiting to prevent API abuse and overload.

  • View profile for Nina Fernanda Durán

    AI Architect · Ship AI to production, here’s how

    58,511 followers

    API Security Best Tips 🔥 Every API exposed online is a potential threat entry point. Securing them requires controls, monitoring, and clear policies. This guide outlines key practices for protecting APIs across their lifecycle. 1️⃣ Authentication & Authorization ▪️Use OpenID Connect and OAuth 2.0. ▪️Access Control: Apply RBAC or ABAC. ▪️API Keys: Store securely with secrets managers. ▪️Token Rotation: Automate expiration and revocation. Goal: Restrict access to verified entities. 2️⃣ Data Protection ▪️Data Encryption at Rest ▪️HTTPS: Enforce HSTS. ▪️Input Validation: Prevent SQL Injection and XSS. ▪️Key Rotation: Automate key updates. Goal: Keep data secure at rest and in transit. 3️⃣ Traffic Management ▪️Rate Limiting: Control request frequency. ▪️DDoS Mitigation: Use Web Application Firewalls. ▪️API Gateway: Centralize routing. ▪️Timeouts: Avoid resource exhaustion. Goal: Ensure stable API performance. 4️⃣ Monitoring ▪️Continuous Monitoring: Use Prometheus or Datadog. ▪️Audit Trails: Log anomalies. ▪️Alerts: Detect traffic spikes. Goal: Respond to threats in real-time. 5️⃣ Dependency Management ▪️Update Libraries ▪️Secure Configs: Enforce security policies. ▪️Secrets Management: Avoid hardcoded credentials. Goal: Reduce dependency-related risks. 6️⃣ API Versioning ▪️Versioned APIs: Avoid breaking changes. ▪️Deprecation Policies: Announce changes early. Goal: Enable seamless version transitions. 7️⃣ Development Security ▪️Shift-Left Security: Integrate in CI/CD. ▪️API Testing: Use tools like OWASP ZAP, Burp Suite, and Postman for penetration testing, vulnerability scanning, and functional validation. Goal: Build APIs securely from the start. 8️⃣ Incident Response ▪️Playbooks: Define response plans. ▪️Drills: Test readiness. Goal: Minimize breach impact. How do you identify if an API is being silently exploited (for example, through seemingly normal but malicious traffic)? ⚡ Join 24,000+ Devs for daily software visuals and career insights. I’m Nina, Tech Lead & Software PM, sharing through Sketech. Sketech has a LinkedIn Page - Join me!

  • View profile for Ashish Joshi

    Engineering Director, Crew Architect @ UBS - Data, Analytics, ML & AI | Driving Scalable Data Platforms to Accelerate Growth, Optimize Costs & Deliver Future-Ready Enterprise Solutions | LinkedIn Top 1% Content Creator

    42,740 followers

    APIs power today's apps, but weak security can lead to serious breaches. Protect your API with these 12 critical security best practices 1. Web Application Firewall (WAF): Protect your API from common attacks like SQL injection and cross-site scripting by using a WAF. 2. Rate Limiting: Implement rate limiting to prevent abuse and denial-of-service (DoS) attacks by restricting the number of requests allowed in a given timeframe. 3. Token Expiry: Use short-lived tokens and refresh mechanisms to reduce the risk of token misuse and unauthorized access. 4. Encryption: Secure data in transit and at rest using SSL/TLS encryption to protect sensitive information. 5. Secure Dependencies: Regularly update and scan third-party libraries and dependencies to avoid vulnerabilities. 6. API Versioning: Maintain different versions of your API to handle updates and changes without disrupting services for existing clients. 7. IP Whitelisting: Restrict access to your API by only allowing specific, trusted IP addresses. 8. Authentication: Use strong authentication mechanisms such as OAuth, JWT, or API keys to verify the identity of clients accessing the API. 9. Security Headers: Apply HTTP security headers like Content Security Policy (CSP), X-Content-Type-Options, and X-Frame-Options to mitigate risks. 10. Input Validation & Data Sanitization: Validate and sanitize all inputs to prevent injection attacks and ensure data integrity. 11. Logging and Monitoring: Monitor API activity and log requests to detect unusual patterns or potential security threats. 12. Data Redaction: Ensure that sensitive information like passwords or personal data is redacted from logs and responses to prevent leakage. Implementing these best practices helps safeguard APIs from security vulnerabilities and malicious threats. #api #cybersecurity #engineering #interviewprepration

  • View profile for Vasu Maganti

    𝗖𝗘𝗢 @ Zelarsoft | Driving Profitability and Innovation Through Technology | Cloud Native Infrastructure and Product Development Expert | Proven Track Record in Tech Transformation and Growth

    23,426 followers

    60% of companies reported a data breach within the last two years, and 74% had at least three API-related breaches. This shows the importance of enhanced API security because it exposes the business logic and data to an external system. Hackers love APIs because they're everywhere, and in many cases, they lack security while containing valuable data. Here is some advice on how to secure the design of your API: ▪️ First, you must know how many APIs are running in your ecosystem. You can use automated discovery tools to inventory them. ▪️ Authorization and authentication are crucial. Implement strong authentication and authorization mechanisms: one public key(access key) + one private key (secret key). ▪️ Signature Generation. Verify the authenticity and integrity of API requests. A critical step in this process is using HTTPS, a secure communication protocol, to encrypt data transmitted over your API. This ensures that the data is protected from unauthorized access during transmission. ▪️ For comprehensive security, HTTP requests should include the following parameters: authentication credentials to verify the user's identity, a timestamp to prevent replay attacks, request-specific data to specify the action to be performed, and nonce to avoid duplication requests. ▪️ Remember versioning. Not updated or outdated components make your applications vulnerable. ▪️ Security must be part of your team's awareness. Every member should be trained on the best practices for API security. ▪️ Implement monitoring and behavioral analysis tools, looking for anomalies in API traffic patterns. ▪️ Don't forget to adapt regular penetration testing to fix uncovered issues. Your API security cannot be an issue at the end of the SDLC but must be part of the API's design. Each stage of the cycle, as well as each component and functionality, poses a risk. The greater the complexity, the greater the threats. Image Credit: Munaim Naeem #Technology #APISecurity #DevOps

  • View profile for Swapnil Deshmukh

    Cybersecurity Leader | AppSec & Threat Modeling Expert | Driving SSDLC & Developer Enablement

    3,245 followers

    🚀 New Technical Article: AWS Smithy IDL: A Technical Overview with a Focus on Security 🔐 Are you designing APIs for scale, resilience, and security? Dive into AWS’s Smithy Interface Definition Language (IDL) — a powerful, protocol-agnostic modeling system used internally at Amazon and now available to all. In this article, I break down: ✅ What makes Smithy different from OpenAPI/gRPC ✅ How to inspect and extend the Smithy codebase ✅ Security best practices for modeling sensitive data, enforcing auth, and validating input ✅ Tips for building secure, maintainable service contracts from day one 🔎 Whether you're designing microservices, building SDKs, or working on platform teams, Smithy helps you shift security left and standardize how APIs are defined across your organization. 📄 Check out the full breakdown and start modeling your APIs with security at the core. #APISecurity #AWS #Smithy #SoftwareArchitecture #Microservices #APIDesign #CloudSecurity #DevSecOps #IDL #OpenAPI #SecureCoding #PlatformEngineering #APIModeling #CyberSecurity #TechWriting

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