API Security Best Practices

𝗬𝗼𝘂𝗿 𝗔𝗣𝗜 𝗶𝘀 𝗻𝗮𝗸𝗲𝗱 𝗼𝗻 𝘁𝗵𝗲 𝗶𝗻𝘁𝗲𝗿𝗻𝗲𝘁 𝗿𝗶𝗴𝗵𝘁 𝗻𝗼𝘄. Last month, a single exposed endpoint cost a fintech startup $3.2 million. But here's what's wild: They had 47 security tools installed. These 9 patterns blocked 99.7% of attacks at scale: 𝟭. 𝗥𝗮𝘁𝗲 𝗹𝗶𝗺𝗶𝘁 𝗯𝘆 𝘂𝘀𝗲𝗿, 𝗻𝗼𝘁 𝗷𝘂𝘀𝘁 𝗜𝗣 Netflix learned this after one user's script hammered their API from 10,000 IPs. Set per-user limits: 100/minute for reads, 10/minute for writes. 𝟮. 𝗩𝗲𝗿𝘀𝗶𝗼𝗻 𝘆𝗼𝘂𝗿 𝗱𝗲𝗽𝗿𝗲𝗰𝗮𝘁𝗶𝗼𝗻𝘀 Stripe keeps APIs alive for 7 years. But they version aggressively. Old versions get security patches only. This lets you fix vulnerabilities without breaking clients. 𝟯. 𝗡𝗲𝘃𝗲𝗿 𝘁𝗿𝘂𝘀𝘁 𝗖𝗼𝗻𝘁𝗲𝗻𝘁-𝗧𝘆𝗽𝗲 𝗵𝗲𝗮𝗱𝗲𝗿𝘀 A JSON endpoint accepting XML = instant XXE vulnerability. Always validate the actual payload structure, not just headers. 𝟰. 𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁 𝗰𝗼𝘀𝘁-𝗯𝗮𝘀𝗲𝗱 𝘁𝗵𝗿𝗼𝘁𝘁𝗹𝗶𝗻𝗴 Discord doesn't just count requests - they count complexity. A simple GET = 1 point. Complex GraphQL query = 100 points. Budget: 1000 points/minute. 𝟱. 𝗟𝗼𝗴 𝗯𝗲𝗳𝗼𝗿𝗲 𝘆𝗼𝘂 𝗯𝗹𝗼𝗰𝗸 Cloudflare's approach: Shadow mode first. Log suspicious traffic for 7 days before blocking. This prevents legitimate users getting locked out. 𝟲. 𝗨𝘀𝗲 𝗮𝘀𝘆𝗺𝗺𝗲𝘁𝗿𝗶𝗰 𝗿𝗮𝘁𝗲 𝗹𝗶𝗺𝗶𝘁𝘀 GitHub allows 5000 reads/hour but only 100 writes/hour. Why? Reads are cheap. Writes are expensive. Match limits to actual costs. 𝟳. 𝗥𝗲𝗾𝘂𝗶𝗿𝗲 𝗔𝗣𝗜 𝗸𝗲𝘆𝘀 𝗳𝗼𝗿 𝗲𝘃𝗲𝗿𝘆𝘁𝗵𝗶𝗻𝗴 Even public endpoints. Twitter's mistake: Anonymous access allowed scrapers to harvest millions of tweets. Keys let you track, limit, and revoke access. 𝟴. 𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁 𝗰𝗶𝗿𝗰𝘂𝗶𝘁 𝗯𝗿𝗲𝗮𝗸𝗲𝗿𝘀 𝗽𝗲𝗿 𝗲𝗻𝗱𝗽𝗼𝗶𝗻𝘁 When /𝚊𝚙𝚒/𝚜𝚎𝚊𝚛𝚌𝚑 fails 50 times in 60 seconds, auto-disable it for 5 minutes. This stops cascading failures from killing your entire API. 𝟵. 𝗩𝗮𝗹𝗶𝗱𝗮𝘁𝗲 𝗿𝗲𝗰𝘂𝗿𝘀𝗶𝗼𝗻 𝗱𝗲𝗽𝘁𝗵 GraphQL APIs are recursion nightmares. Set max depth to 7 levels. Facebook learned this after a 100-level nested query took down a cluster. Companies buy expensive WAFs, implement OAuth perfectly, then leave /𝚊𝚙𝚒/𝚒𝚗𝚝𝚎𝚛𝚗𝚊𝚕/𝚍𝚎𝚋𝚞𝚐 wide open. Security isn't about doing complex things perfectly. It's about doing simple things consistently. Your API doesn't need to be Fort Knox. It just needs to be slightly more annoying to attack than your competitor's. 𝗪𝗮𝗻𝘁 𝘁𝗼 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗲 system design mock interviews ? • 60+ FAANG-level system design questions • Detailed feedback showing exactly where to improve. • Free Mock Interviews with an AI trained like a Senior Engineer. 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲 𝗵𝗲𝗿𝗲 https://lnkd.in/gjhicqxk Follow Rakshith Yadhav for • real-world engineering insights. • practical system design frameworks • lessons from building scalable AI systems.

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.

Salesforce Inspector Reloaded: Four Security Levels to Fortify Your Org 🔐 Recent breaches have shown how attackers exploit gaps in Salesforce configurations to gain unauthorized access. Let’s break down four security levels from weakest to strongest—and outline concrete actions you can take today to protect your org. 1. Level 1: No API Access Control and Session Token Reuse Without API access control, any external actor can interact with your org’s APIs—no connected app required. - Attackers can call APIs using public client IDs (Data Loader, SIR, etc.). - Valid Salesforce session IDs (extracted from cookies, phishing, or browser dev tools) can be reused to query or manipulate data. - No enforcement on which apps or sessions are allowed, leaving your org fully exposed. Action: - Enable API Access Control immediately. This forces every incoming API call to originate from an explicitly approved connected app. - In a sandbox environment, enable API Access Control first, then test all integrations and connected apps to ensure they function correctly before rolling the change out to production. 2. Level 2: API Access Control Enabled With API access control turned on, only approved apps can call your APIs—but default client IDs are still public. - Open-source forks of SIR or similar tools inherit the same client ID. - A malicious fork could trick your users into installing a fake extension. 😱 - That fake extension operates under your org’s allowed client ID. You’re safer, but not fully secure. 3. Level 3: Use a Custom Connected App Lock down SIR by giving it its own identity. 1. In Salesforce Setup, create a new Connected App named “Salesforce Inspector Reloaded – YourCompanyName.” 2. In SIR settings, replace the default client ID with your custom one. 3. Approve only this Connected App in your API Access Control list. Guide: https://lnkd.in/g3RaUWGn 4. Level 4: Monitor with Transaction Security Policies Even the best controls need active monitoring. Transaction Security Policies (available with Shield or Event Monitoring add-ons) let you: - Detect anomalous API calls in real time. - Enforce custom rules when suspicious behavior occurs. - Receive alerts or block events before they escalate.

𝐀𝐟𝐭𝐞𝐫 𝟐𝟎+ 𝐲𝐞𝐚𝐫𝐬 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐢𝐧𝐠 𝐬𝐞𝐜𝐮𝐫𝐞 𝐜𝐥𝐨𝐮𝐝 𝐬𝐲𝐬𝐭𝐞𝐦𝐬, 𝐈'𝐯𝐞 𝐝𝐢𝐬𝐭𝐢𝐥𝐥𝐞𝐝 𝐞𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐬𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐢𝐧𝐭𝐨 𝟖 𝐜𝐫𝐢𝐭𝐢𝐜𝐚𝐥 𝐝𝐨𝐦𝐚𝐢𝐧𝐬. Here's my cheat sheet for designing secure systems that actually work in production 👇 𝟏. 𝐃𝐈𝐒𝐀𝐒𝐓𝐄𝐑 𝐑𝐄𝐂𝐎𝐕𝐄𝐑𝐘 Scenarios to Protect: • Data center failure • Ransomware attack • Human error deletion Design Points: → RTO: <15 min for critical systems → Automated failover → Multi-region backup → Regular DR drills 𝟐. 𝐀𝐔𝐓𝐇𝐄𝐍𝐓𝐈𝐂𝐀𝐓𝐈𝐎𝐍 Scenarios to Protect: • Credential theft • Session hijacking • Privilege escalation Design Points: → Multi-factor authentication (MFA) → Zero-trust architecture → Just-in-time access → Strong password policies 𝟑. 𝐄𝐍𝐂𝐑𝐘𝐏𝐓𝐈𝐎𝐍 Scenarios to Protect: • Data breaches • Man-in-middle attacks → Unauthorized access Design Points: → End-to-end encryption → TLS 1.3 for data transit → AES-256 for data at rest → Key rotation policies 𝟒. 𝐀𝐔𝐓𝐇𝐎𝐑𝐈𝐙𝐀𝐓𝐈𝐎𝐍 Scenarios to Protect: • Lateral movement • Over-privileged access • Compliance violations Design Points: → Role-based access (RBAC) → Least privilege principle → Regular access reviews → Attribute-based control 𝟓. 𝐕𝐔𝐋𝐍𝐄𝐑𝐀𝐁𝐈𝐋𝐈𝐓𝐘 𝐌𝐀𝐍𝐀𝐆𝐄𝐌𝐄𝐍𝐓 Scenarios to Protect: • Zero-day exploits • Unpatched systems • Configuration drift Design Points: → Continuous scanning → Patch management SLA → Vulnerability assessment → Proactive security patches 𝟔. 𝐀𝐔𝐃𝐈𝐓 & 𝐂𝐎𝐌𝐏𝐋𝐈𝐀𝐍𝐂𝐄 Scenarios to Protect: • Regulatory violations → Unauthorized changes → Evidence gaps Design Points: → Centralized logging → Immutable audit trails → Real-time monitoring → Compliance automation 𝟕. 𝐍𝐄𝐓𝐖𝐎𝐑𝐊 𝐒𝐄𝐂𝐔𝐑𝐈𝐓𝐘 Scenarios to Protect: • DDoS attacks • Network intrusion • Data exfiltration Design Points: → Zero-trust networking → Micro-segmentation → WAF/IDS/IPS deployment → Intrusion detection 𝟖. 𝐀𝐏𝐈 𝐒𝐄𝐂𝐔𝐑𝐈𝐓𝐘 Scenarios to Protect: • API abuse • Data leakage • Injection attacks Design Points: → Rate limiting → OAuth 2.0 / JWT → Input validation → API gateway enforcement --- THE REALITY: Most security breaches happen because organizations: → Focus on 2-3 domains, ignore the rest → Implement tools without strategy → Think compliance = security → Treat security as a one-time project The result? ✅ Zero major security incidents in 3+ years ✅ SOC2, ISO 27001 compliant ✅ Multi-million dollar transactions protected daily ♻️ Repost if you found it valuable ➕ Follow Jaswindder for more insights #CloudSecurity #DevSecOps #EnterpriseArchitecture #CyberSecurity

I’ve been spending the start of the New Year deeply focused on studying for the Certified Data Privacy Solutions Engineer (CDPSE) exam. With my growing work in AI, automation, and platform integrations, I’ve found myself questioning everything, especially how modern AI-driven platforms and third-party integrations impact an organization’s security posture and privacy risk. One topic that comes up again and again: API keys. What happens when a platform has weak or poorly maintained code? ~ Platform vulnerabilities can be exploited • Attackers may bypass controls, access secrets in memory, or manipulate workflows. ~ Your API keys and data can still be exposed • Even if you followed best practices, compromised platform code can leak keys, tokens, or sensitive data being processed. ~ The blast radius depends on your controls • Scoped keys, least privilege, IP restrictions, and short-lived tokens reduce impact. Broad, long-lived keys dramatically increase risk. ~ Shared responsibility still applies • The provider owns platform security. You own configuration, access management, and data protection. Regulators evaluate your safeguards. ~ Trust and compliance exposure is real • Incident response, customer notifications, contract impacts, and regulatory scrutiny can follow, even when the bug wasn’t yours. What strong security-minded organizations do differently: ~Use least-privileged, short-lived API keys ~Rotate keys regularly ~Monitor logs for abnormal usage ~Isolate sensitive processing ~Maintain vendor risk management and exit strategies Bottom line: When a platform fails, your controls determine whether it’s a contained incident, or a major breach. This is where privacy engineering, AI governance, and security architecture intersect. And it’s exactly why understanding how things are built matters just as much as what they do. CISM | CDPSE | AAISM Just a girl working on becoming a triple threat… Security. Privacy. AI. 💅🏽🔐🤖 Happy New Year!! 🎉

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

"How to Design Safe APIs (Beyond the Basics)" You think your API is secure because you have authentication? Think again. 🔒 Security in API design goes far beyond just passwords and tokens. Here's what most teams miss: Standard Design Patterns That Matter: 🔐 Idempotency — One request = One action (not multiple) - GET/HEAD/DELETE are idempotent ✅ - POST/PUT require validation ❌ - Missing idempotency = money charged twice, data deleted twice, chaos 📦 Versioning Strategy (URL vs Query Parameter) - Version in URL: /v1/users vs /v2/users — clear, scalable - Version in query: ?version=1 — flexible but easily missed - No versioning at all = security nightmare when you patch 👤 Resource Names (RESTful Design) - /api/products (plural, resource-centric) ✅ - /api/get_products (verb-centric) ❌ - Proper naming = harder to exploit, easier to audit 🛡️ Active Protection Layer (WAAP) This is where most defenses are weak. Beyond protocol validation, you need: 1. Schema Validation — Does the request match what we expect? 2. Threat Analysis — SQL injection, XSS, RCE attempts 3. Access Control (BOLA/IDOR checks) — Is this user allowed to see this resource? 4. Rate Limiting & Throttling — Stop bots, prevent API abuse Legacy/Context Elements That Matter Too: - Proper pagination handling - Correct HTTP status codes - Meaningful error messages (but not TOO meaningful) The difference between a "secure" API and actually secure API is knowing which levers to pull. Most teams pull one or two. Secure APIs integrate all of these patterns together. https://lnkd.in/gZkcWG9w Follow Wallarm: API Security Leader for more expert insights. #APIsecurity #APIDesign #RESTful #Cybersecurity #Wallarm #WAAP #SchemaValidation #BOLA

API Security Most APIs don’t break because of bad code. They break because security and governance were treated as “later” problems.   If your API is live in production, it’s already exposed—to users, bots, attackers, and internal misuse.   This guide breaks down how to bulletproof your APIs with a simple mindset: 👉 secure by default 👉 govern from day one   It covers the fundamentals every serious API should have:   - Encrypting traffic properly (HTTPS, OAuth2) - Controlling who can do what with role-based access - Protecting keys, inputs, and trusted sources - Using gateways for rate limits, logging, and enforcement - Versioning APIs without breaking consumers - Monitoring usage, auditing access, and spotting anomalies - Treating APIs as products with clear lifecycle policies   APIs are no longer just technical interfaces. They are business contracts, security boundaries, and compliance surfaces.   The teams that scale safely aren’t the ones adding more features. They’re the ones that lock things down before scale forces their hand.   If you build, expose, or manage APIs—save this. Future you (and your security team) will be grateful. Building a tech career abroad as an international professional? 🚀 Get high-level information and preparation insights on talent-based visa pathways. 👉 Book a free strategy session — https://lnkd.in/gXRFqxNu Follow Gaurav Mehta for more tech insights and updates.

It took me 5 years and preventing 25+ incidents to learn these 27 security engineering tips. You can learn them in the next 60 seconds: 1. Enforce MFA everywhere, especially for CI/CD, admin panels, and cloud consoles. 2. Use short-lived access tokens with automated rotation to limit blast radius. 3. Implement SAST in PR pipelines to catch vulnerabilities before merging. 4. Add DAST scans on staging environments to detect runtime vulnerabilities. 5. Use secret scanners to prevent credential leaks in repos (TruffleHog, Gitleaks). 6. Enforce least-privilege IAM roles with time-bound elevation workflows. 7. Use container image signing (Sigstore/Cosign) to verify supply chain integrity. 8. Pin dependencies and enable automated patching for third-party libraries. 9. Enforce network segmentation; don't let every service talk to everything. 10. Use Infrastructure-as-Code scanners (Checkov, tfsec) before provisioning infra. 11. Enable audit logging across cloud accounts and stream to a central SIEM. 12. Harden Kubernetes by disabling privileged pods and enforcing PodSecurity. 13. Use eBPF-based runtime monitoring to detect suspicious container behavior. 14. Add WAF in front of public APIs to block OWASP Top 10 patterns. 15. Use API gateways with strict schema validation to prevent injection attacks. 16. Enforce HTTPS everywhere with HSTS and TLS 1.2+. 17. Run vulnerability scans on container registries before deployment. 18. Add anomaly detection on login patterns to catch credential-stuffing early. 19. Use blue-green or canary deployment to contain bad releases safely. 20. Implement rate limiting + IP throttling on all public endpoints. 21. Encrypt data at rest with KMS and enforce key rotation policies. 22. Use service-to-service authentication with mTLS inside clusters. 23. Build threat models for every new large architectural change. 24. Set up incident playbooks and run quarterly tabletop exercises. 25. Use message queues for asynchronous tasks to prevent API overload. 26. Enforce zero-trust: verify identity, device, and context on every request. 27. Monitor everything, logs, metrics, traces, and alert on deviation, not noise. P.S: Follow saed ‎for more & subscribe to the newsletter: https://lnkd.in/eD7hgbnk I am now on Instagram: instagram.com/saedctl say hello