Steps to Improve SaaS Security Posture

📌 How to implement Zero Trust with Microsoft Security Zero Trust means "never trust, always verify." Every request to data, apps, or infrastructure must be authenticated, authorized, and continuously monitored. Here’s how to put this model into action step by step ⬇️ ❶ Secure Identities (Human & Workload) ◆ Enable MFA + phishing-resistant authentication (FIDO2, passkeys). ◆ Use Entra ID Conditional Access with risk-based sign-in policies. ◆ Automate access reviews and JIT access with Entra ID Governance. ❷ Enforce Device Compliance ◆ Register devices with Intune; block or quarantine non-compliant ones. ◆ Use Defender for Endpoint to detect advanced threats and auto-isolate compromised endpoints. ◆ Require device health checks (encryption, patch level, AV status) before granting access. ❸ Apply Adaptive Zero Trust Policies ◆ Configure Conditional Access to evaluate location, device risk, and session context. ◆ Block legacy auth and enforce least privilege access per role. ◆ Use session controls (MFA re-prompt, sign-out) for high-risk behavior. ❹ Segment Networks & Workloads ◆ Enforce micro-segmentation with Azure Firewall and NSGs. ◆ Route sensitive traffic through secured hubs (Azure Virtual WAN + Firewall). ◆ Deny all inbound by default; expose apps through reverse proxy/App Gateway. ❺ Protect Apps & Runtime ◆ Monitor SaaS with Defender for Cloud Apps; set policies for risky user actions. ◆ Enable runtime threat protection for containers, serverless, and VMs with Defender for Cloud. ◆ Turn on GitHub Advanced Security for secrets scanning and dependency protection. ❻ Classify & Protect Data ◆ Use Purview to automatically classify and label sensitive data. ◆ Enforce encryption (at rest + in transit) across Office 365 and SQL. ◆ Use Microsoft Priva for privacy risk insights and regulatory compliance. ❼ Detect & Respond Continuously ◆ Stream telemetry into Microsoft Sentinel for correlation and hunting. ◆ Build automated response playbooks with Logic Apps. ◆ Use Defender XDR for unified incident detection across endpoints, identity, and cloud. ❽ Optimize Policies & Governance ◆ Track Secure Score daily to benchmark progress. ◆ Automate compliance reporting for ISO, NIST, SOC2 with Compliance Manager. ◆ Continuously tune policies to reduce friction while maintaining security. By operationalizing each layer this way, you move Zero Trust from a diagram into a living, enforceable security model. #cloud #security #azure

🛡️ Security Failures Rarely Come From a Lack of Tools They come from fragmented processes. Our security posture was reactive: manual reviews, delayed alerts, and checks happening too late in the lifecycle. By the time issues surfaced, damage was often already done. 🔐 The fix: embed security directly into engineering workflows • Codified infrastructure and application policies using Policy as Code • Shifted security checks left into CI/CD pipelines • Caught misconfigurations early — before reaching production • Enforced WAF rules, rate limiting, and IAM audits at runtime • Centralized logs into a SIEM for real-time detection and response 📈 The outcome was a cultural shift Security stopped being a gatekeeper and became a shared responsibility. Incidents were prevented instead of investigated. Audit readiness improved. Teams shipped securely without slowing delivery. Effective SecOps is invisible when done right — but devastating when ignored. True security enables innovation by reducing risk without increasing friction. 🚀 Looking to build, scale, or optimize your cloud and engineering initiatives? CloudSpikes partners with teams to deliver reliable, secure, and cost-effective solutions across Cloud, DevOps, SRE, and Data Engineering. #SecOps #DevSecOps #CloudSecurity #ZeroTrust #PolicyAsCode #WAF

From experience, two of the biggest headaches in SaaS security are: - Not knowing what’s actually running in your environment - Security settings constantly drifting out of alignment New apps get added, SaaS-to-SaaS connections form behind the scenes, and AI-powered tools integrate without security teams realizing. Sensitive data moves across platforms, access permissions stack up, and misconfigurations create security gaps that no one notices until it’s too late. Without full visibility, security teams are always a step behind. Gaining control over an evolving SaaS environment requires a security approach that adapts in real time, ensuring every app, identity, and connection is accounted for. Discovery – Instantly track all apps, SaaS-to-SaaS connections, Shadow SaaS, AI Agents, and Shadow AI tools, including their users and access patterns. SSPM+ – Maintain airtight security and compliance posture within business context, even as apps and AI Agents are added or updated. Identity & Access Governance – Ensure accounts remain secure (e.g., with MFA) and enforce least privilege access to minimize exposure. Identity Threat Detection & Response (ITDR) – Detect and respond to data theft, account compromise, and misconfigurations with pre-built controls and automated security enforcement. Reco's Dynamic SaaS Security eliminates security blind spots, keeps compliance intact, and ensures that SaaS environments remain protected at every stage of their lifecycle. By continuously adapting to SaaS sprawl, monitoring evolving risks, and enforcing security policies in real time, organizations gain full control over their SaaS ecosystem.

Your CRM isn’t just a pipeline tracker. It’s a live database of your customer’s behavior, contracts, revenue paths—and trust. what no one tells you: Most CRM breaches don’t happen because of a zero-day exploit. They happen because 𝐬𝐨𝐦𝐞𝐨𝐧𝐞 𝐡𝐚𝐝 𝐚𝐜𝐜𝐞𝐬𝐬 𝐭𝐡𝐞𝐲 𝐬𝐡𝐨𝐮𝐥𝐝𝐧’𝐭 𝐡𝐚𝐯𝐞. And I’ve seen it: One over-permissioned user. One accidental bulk delete. Entire regional account data—gone. No backups. No alerts. No version history deep enough to restore. Because no one thought roles could be a threat vector. On the top-of-it Misconfigured API endpoints open to the public internet Third-party apps running with full object permissions Token-based auth with no expiry or rotation policies No encryption at the field level for PII or contract metadata Custom workflows triggering external webhooks with zero validation You think this is rare? In 2024 alone, CRM-linked incidents led to customer data from 𝐞𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞-𝐠𝐫𝐚𝐝𝐞 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 leaking through unsecured middleware and unmonitored plug-ins. It’s not the CRM that failed. It’s the false sense of SaaS security that did. Your CRM is part of your attack surface now. And how we look at this at EnH 1. Implement scoped OAuth with rotation and revocation 2. Use audit logs to detect privilege creep in real time 3. Monitor outbound calls from third-party tools and browser extensions 4. Enforce IP whitelisting—even for internal teams 5. Encrypt sensitive fields—yes, even within the CRM itself 6. Schedule periodic pentests on your CRM stack, not just your web app Because when that trust layer breaks, the damage isn’t just reputational— It’s contractual. Financial. Legal. Waiting for IT to stumble onto it during a quarterly review? That’s not security. That’s negligence. #CRM #CyberSecurity #SalesforceSecurity #SaaSHardening #HubSpot #AccessControl #ZeroTrust #DataBreach #RevenueOps #SaaSSecurity #InfoSec #CISO

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.

Nearly 27,000 users had their personal data compromised in the recent Bitcoin Depot breach. Names, emails, driver’s licenses, addresses, and more were all leaked. Detection took over a year to be disclosed, and customers weren’t offered identity monitoring despite the exposure of highly sensitive KYC data. Incidents like this are systemic, and they raise a fundamental issue: most organizations still treat network and security as separate concerns. How it needs to be approached: Policy lifecycle automation – Whether it's rotating credentials or revoking access, tie security directly to identity lifecycles. Something manual, siloed systems often miss. Identity-based segmentation – Enforce access by role, geography, and device posture so even if credentials are compromised, and lateral movement is blocked. Inline, always-on inspection – Don’t rely on retroactive logging. Every packet is inspected in real-time at the edge, reducing dwell time and enabling immediate containment. SaaS & cloud visibility – Monitor traffic across all apps and locations, not just “managed” endpoints, so users interacting with sensitive systems like crypto platforms don’t fall through the cracks. This breach could have been contained earlier or avoided had network-layer context, user posture, and enforcement been aligned. Breaches will happen. What matters is whether your architecture is built to limit the blast radius and respond in hours, not months.

Great Security Engineering has levels to it: ➤ Level 1: Securing What’s in Front of You  ↳ Start by locking down the basics that every engineer touches:   → Understand how authentication and authorisation work, know the difference, and why both matter   → Set up strong passwords, multi-factor authentication (MFA), and don’t reuse credentials   → Keep all systems, dependencies, and libraries patched and updated   → Validate and sanitise every bit of user input, no matter how “safe” it looks   → Use HTTPS everywhere, and encrypt sensitive data at rest and in transit  ↳ Clock these, and your fundamentals are strong. ➤ Level 2: Building Security into Every Feature  ↳ Make security a part of your development workflow:   → Review all code for common vulnerabilities (SQL injection, XSS, CSRF, etc.)   → Add static and dynamic scanning to CI/CD so bugs don’t sneak into production   → Store secrets (keys, tokens, passwords) outside of code, use managed vaults or KMS   → Design APIs with security in mind, limit permissions, validate inputs, and apply rate limits   → Set up logging to track and review any unusual activity  ↳ At this stage, your systems are built with security, not patched after the fact. ➤ Level 3: Defending at Scale  ↳ Think about how attackers see your system, and build for resilience:   → Threat-model new features and workflows, ask “what could go wrong?” before launch   → Apply zero-trust principles: don’t assume any network or internal system is safe by default   → Secure your cloud resources, manage IAM, set up network segmentation, restrict open ports   → Monitor logs and metrics for anomalies, and tune alerts to catch real issues, not just noise   → Regularly schedule vulnerability assessments and external penetration tests  ↳ Now, your security posture is proactive and system-wide. ➤ Level 4: Security as a Team Sport  ↳ Grow from individual actions to company-wide discipline:   → Build clear incident response plans, run fire drills, and keep everyone in the loop   → Automate detection and response for common threats using SIEM, SOAR, or playbooks   → Manage access and identities for thousands of users with systems like SAML, OAuth, and RBAC   → Bake privacy and compliance (GDPR, SOC2, HIPAA) into every product from day one   → Train every team, engineering, ops, product, so security is everyone’s job  ↳ At this level, security is built into the culture. What would you add to this list? Or what do you wish you’d learned sooner in your security journey? Follow saed ‎for more & subscribe to the newsletter: https://lnkd.in/eD7hgbnk Let’s chat: https://topmate.io/saedmf1

Check if your organisations is affected by Salesforce related breach. Every alert you ignore today could be tomorrow’s breach headline. In June 2025, Google’s Salesforce instance was compromised, not through a vulnerability, but through trust. A vishing call. A malicious OAuth app. A scramble for Bitcoin payments within 72 hours. No passwords were stolen, but: → Trusted SaaS access became the attack surface. → Compliance, brand reputation, and third-party risk were shaken. → Business names, emails, phone numbers and notes were exposed. At the same time, the Salesloft Drift breach hit hundreds of organisations, abusing OAuth tokens to query Salesforce data, cases, accounts, AWS keys, Snowflake tokens. Confirmed: → Attackers exploited legitimate integrations. → Extortion attempts targeted SaaS trust chains, not endpoints. → TOR exit nodes and VPNs were used to anonymise operations. Here’s what 99% of organisations overlook when it comes to SaaS integrations, OAuth governance, and human vulnerabilities. Run these 5 checks in your environment this week (The SaaS Access Security Checklist): (1) OAuth App Governance → List every OAuth app. Define its role. Approve manually. Red flag: Auto-approved apps or trial accounts bypass oversight. (2) Admin Workflows + Alerts → Are new apps triggering alerts? Are sign-ins reviewed hourly? Red flag: High-volume API calls unnoticed for days. (3) Vishing Detection at Scale → Are call-centre scripts monitored? Are phrases like “please pay” flagged? Red flag: Helpdesk staff empowered without verification checks. (4) Network Traffic Scrutiny → Is outbound TOR traffic being inspected? Are VPN anomalies surfaced? Red flag: Unusual encrypted transfers going undetected. (5) Token Hygiene & Least Privilege → Are tokens short-lived? Are unused permissions revoked? Red flag: Legacy scopes and stale API keys floating in production. This isn’t just about Google or Salesforce. It’s about how attackers weaponise trust, OAuth, identity federation, and human interaction. If your organisation relies on SaaS ecosystems, this is your wake-up call: Revisit access controls. Audit integrations. Harden call centres. Monitor for behavioural anomalies, before they become headlines. What’s your take, is your SaaS posture ready for the next wave of trust-based attacks? Share your views and experiences and ♻️ repost this if you find it useful and would like to help your followers to do these checks. Seqrite Quick Heal #Cybersecurity #CISO #SaaS #OAuth #ThreatIntelligence #CloudSecurity #ZeroTrust #OAuthSecurity

Even if your company isn’t building AI tools, one of your SaaS providers is. This introduces a brand new attack surface you didn’t sign up for. Here are five steps to manage your new risk: 𝗦𝘁𝗲𝗽 𝟭: 𝗜𝗱𝗲𝗻𝘁𝗶𝗳𝘆 𝗔𝗜 𝗨𝘀𝗮𝗴𝗲: I’ll spare you the adage of “you can’t protect what you can’t see.” It’s overplayed…but it’s also really important. You need to monitor both the known knowns, i.e., the third-party SaaS solutions that have already undergone your third-party risk management review, and the unknown unknowns, i.e., your Shadow AI. You know your users are signing up for AI tools and connecting them to your company data. What you don’t know is what tools they are. 𝗦𝘁𝗲𝗽 𝟮: 𝗘𝘀𝘁𝗮𝗯𝗹𝗶𝘀𝗵 𝗮𝗻 𝗔𝗜 𝗥𝗲𝘃𝗶𝗲𝘄 𝗣𝗿𝗼𝗰𝗲𝘀𝘀: If you have a third-party risk management process, great, you’re already halfway there. But you need to update it to include questions around AI. Like, what types of models is the third-party provider using? How are they securing their AI implementations? What risk/security assessments have they done against their AI implementation? How are they monitoring for malicious activity? Also, be sure to classify these SaaS apps based on what data/tools you feed it or that it has access to. Assume that something bad can come from the SaaS tool and think about what it has access to. You’ll get a pretty good sense of the risk from there. 𝗦𝘁𝗲𝗽 𝟯: 𝗦𝗲𝘁 𝗔𝗜-𝗨𝘀𝗮𝗴𝗲 𝗣𝗼𝗹𝗶𝗰𝗶𝗲𝘀: If you don’t have an acceptable use policy, now is the time to create it. Establish the rules of the road for what AI use is allowed and how it should be used. At a minimum, this should require employees to submit tools through the AI review process. You should also ensure that employees have a clear understanding of the type of data that can be used with these tools. It’s a business decision that comes down to what the AI tool will have access to (e.g., data, tools, etc.) and the level of risk you’re willing to tolerate. 𝗦𝘁𝗲𝗽 𝟰: 𝗠𝗼𝗻𝗶𝘁𝗼𝗿 𝗨𝘀𝗮𝗴𝗲: This is the blind spot for most organizations. After you complete the initial security review of a SaaS tool, you feel all warm and fuzzy that you’ve done the right things to validate the security. But guess what, security isn’t static. And like any person trying to find a new partner, that third party probably embellished their security controls. For any high-risk third-party tools, make sure to keep tabs on new AI features they’re adding and how they could impact your security. 𝗦𝘁𝗲𝗽 𝟱: 𝗘𝗱𝘂𝗰𝗮𝘁𝗲 𝗮𝗻𝗱 𝗘𝗻𝗮𝗯𝗹𝗲: When you find wins for tools that enable teams to work more efficiently, share that with the company. This is an opportunity to share what’s working and ensure it’s also secure along the way. ------------------------------ ✅ Follow me for the latest in the intersection between AI and security.  👆 Subscribe to my newsletter with the link at the top of this post.