Securing APIs in Cloud Services

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  • View profile for Josh S.

    Head of Identity & Access Management (IAM) @ 3M | Cybersecurity Executive | Strategy: Zero Trust, NHI, IGA & PAM | Transforming Enterprise Security Platforms | Advisory Board Member

    10,026 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 and AI Cost Problems? Let’s fix it | Cloud and AI Cost Management | FinOps

    5,332 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

  • View profile for Rocky Bhatia

    400K+ Engineers | Architect @ Adobe | GenAI & Systems at Scale

    223,614 followers

    Demystifying the Central Role of API Gateways An API Gateway is a server that acts as an API front-end, receiving API requests, enforcing throttling and security policies, passing requests to the back-end service, and then passing the response back to the requester. It acts as an intermediary layer between clients and microservices to simplify the architecture, enhance security, and streamline API management. Key features and functions of an API Gateway include: Request Routing: It routes incoming API requests to the appropriate microservices based on predefined rules and configurations. Protocol Translation: It can translate between different protocols, allowing clients and services to communicate using different standards. Authentication and Authorization: An API Gateway often handles authentication and authorization, ensuring that only authorized users or systems can access the underlying microservices. Request and Response Transformation: It can modify request and response payloads, headers, or formats to meet the requirements of both clients and services. Rate Limiting: API Gateways can enforce rate limiting to prevent abuse, control traffic, and ensure fair usage of resources. Logging and Monitoring: They provide logging and monitoring capabilities, offering insights into API usage, performance, and potential issues. Security: API Gateways play a crucial role in securing APIs by implementing security measures such as SSL/TLS encryption and protecting against common security threats. Caching: They can cache responses to improve performance and reduce the load on underlying services, especially for repetitive requests. Error Handling: API Gateways handle errors gracefully, providing meaningful error messages to clients and preventing the exposure of sensitive information. Load Balancing: They often include load balancing features to distribute incoming requests evenly across multiple instances of a service, improving overall system reliability and performance. API Gateways are a central component in modern microservices architectures, helping to address common challenges related to scalability, security, and management of distributed systems. They simplify the consumption of microservices by providing a unified entry point for clients while offering various features to optimize and secure API communication.

  • View profile for Abhishek Anand

    Staff Engineer & Tech Lead · Java | Spring Boot | GenAI | LangChain4j | AI Agents | MCP | RAG | Open Source LLMs | Kafka | AWS | Kubernetes | Payments · Insurance · Loans · Open Banking | Cloud-native BFSI | 14+ yrs

    1,887 followers

    𝗔𝗣𝗜 𝗚𝗮𝘁𝗲𝘄𝗮𝘆 ≠ 𝗟𝗼𝗮𝗱 𝗕𝗮𝗹𝗮𝗻𝗰𝗲𝗿 Two tools. Two very different responsibilities. In cloud and microservices architectures a common misconception is treating an API Gateway and a Load Balancer as interchangeable components. They are not. 🟢 𝗔𝗣𝗜 𝗚𝗮𝘁𝗲𝘄𝗮𝘆 = 𝗖𝗼𝗻𝘁𝗿𝗼𝗹 𝗹𝗮𝘆𝗲𝗿 It defines how your APIs are exposed, secured, and consumed: → Authentication & authorization → Rate limiting and throttling → Request/response transformation → API versioning → Caching, logging, and monitoring → Centralized API security for microservices and serverless workloads 🟢 𝗟𝗼𝗮𝗱 𝗕𝗮𝗹𝗮𝗻𝗰𝗲𝗿 = 𝗧𝗿𝗮𝗳𝗳𝗶𝗰 𝗹𝗮𝘆𝗲𝗿 It determines where requests should be routed: → Distributes traffic across healthy service instances → Performs health checks and failover → Enables high availability and horizontal scalability → Supports SSL/TLS termination → Improves performance and overall system uptime 🟢 𝗞𝗲𝘆 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝗰𝗲 → API Gateway governs access, policies, and behavior at the edge → Load Balancer efficiently routes traffic to backend services 🟢 𝗕𝗲𝘀𝘁 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗲 𝗽𝗮𝘁𝘁𝗲𝗿𝗻 API Gateway → Load Balancer → Scalable backend services 🟢 𝗧𝗵𝗶𝘀 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵 𝗶𝗺𝗽𝗿𝗼𝘃𝗲𝘀: → Security → Reliability → Performance If you’re building modern cloud-native systems, this separation of concerns isn’t optional—it’s foundational architecture.

  • 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

    AI Architect & AI Engineer | Building Agentic Systems & Scalable AI Solutions

    736,798 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 Chirag Goswami

    Founder @ Cybernara | Security-First Managed IT & Cloud Partner | Cloud, M365 & GRC | LinkedIn Top Voice

    124,543 followers

    APIs are the backbone of every modern app — which also makes them one of the biggest targets for attackers. A single weak endpoint can expose user data, break authentication, or open the door for abuse. Here are the core layers that keep APIs secure: 🔐 OAuth2 – Modern token-based authentication so users don’t share passwords. 🔒 HTTPS – Encrypts traffic end-to-end so no one can snoop or tamper with data in transit. 🛡️ WebAuthn – Strong, phishing-resistant authentication using biometrics or hardware keys. 🚪 API Gateway – Central point for authentication, monitoring, routing, throttling, and blocking bad actors. 🔥 Firewalls – Network and app-layer filtering to stop malicious traffic before it reaches services. 🔄 API Versioning – Prevents breaking changes and keeps old clients from exposing vulnerabilities. ⏳ Rate Limiting – Stops brute-force attacks, credential stuffing, and abuse of public endpoints. ✔️ Authorization – Ensures users can only access what they’re allowed to; prevents privilege misuse. 🧹 Input Validation – Blocks injections, malformed requests, and harmful payloads before they hit your backend. APIs power everything — mobile apps, dashboards, automations, internal tools — and attackers know it. Strong API security is no longer optional. If your organisation needs help securing APIs, reviewing architecture, or running a full API VAPT, Cybernara can support you. #APISecurity #CyberSecurity #OWASP #DevSecOps #CloudSecurity #Infosec #Cybernara

  • View profile for Ashish Joshi

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

    50,327 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 Piyush Ranjan

    30k+ Followers | AVP| Forbes Technology Council| | Thought Leader | Artificial Intelligence | Cloud Transformation | AWS| Cloud Native| Banking Domain | Google Vertex AI

    30,845 followers

    ℹ️ 12 Tips for API Security: 1. Always prioritize using HTTPS to encrypt data in transit, safeguarding sensitive information from interception. 🔒 2. Implement OAuth2 for secure and token-based authentication, enabling users to grant limited access without exposing credentials. 🔐 3. Leverage WebAuthn for strong, passwordless authentication using public key cryptography. 🔑 4. Utilize leveled API keys with varying permissions to enhance security measures. 🗝️ 5. Enforce strict authorization controls to prevent unauthorized access and modifications. ✅ 6. Apply rate limiting to control API request rates, safeguarding against abuse like denial-of-service attacks. ⏱️ 7. Manage changes effectively by using API versioning to ensure backward compatibility. 🔄 8. Implement allowlisting to restrict API access to approved IP addresses or users, reducing exposure to potential threats. 🛡️ 9. Stay updated on the latest vulnerabilities by consulting the OWASP API Security Top 10 and applying recommended mitigations. 🚨 10. Utilize an API Gateway to manage and secure traffic between clients and services, offering essential features like authentication and logging. 🌐 11. Ensure secure and user-friendly error handling to provide helpful messages without exposing sensitive details. 🚫 12. Validate input data rigorously to prevent common security flaws like SQL injection and cross-site scripting. ✅ Secure your APIs with these essential tips for robust API security! #APISecurity #Cybersecurity #TechTips

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