Regulatory Compliance in SaaS

In my previous roles at two high-growth startups—and through working with multiple early-stage teams as an advisor—I kept running into the same problem: As you scale, you’re constantly trying to do 3 things: 1️⃣ 𝐒𝐡𝐢𝐩 𝐟𝐚𝐬𝐭 2️⃣ 𝐆𝐫𝐨𝐰 𝐀𝐑𝐑 3️⃣ 𝐒𝐭𝐚𝐲 𝐜𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐭 Most teams can do 1 and 2. But 3? That’s where momentum breaks. Compliance slows down sales, burns engineering hours, and becomes a blocker instead of an enabler. That frustration led me to build Zerberus—and focus on automating 3 critical pillars: 🔐 𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐒𝐮𝐩𝐩𝐥𝐲 𝐂𝐡𝐚𝐢𝐧 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 To embed proactive security into your SDLC—before dependencies or packages turn into threats. ⚙️ 𝐀 𝐠𝐥𝐨𝐛𝐚𝐥 𝐜𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐜𝐞 𝐟𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤 (𝐩𝐚𝐭𝐞𝐧𝐭-𝐩𝐞𝐧𝐝𝐢𝐧𝐠) To map any control across ISO 27001, NIS2, DORA, GDPR, Cyber Essentials, or the EU AI Act—with zero duplication. ⚡ 𝐉𝐮𝐬𝐭-𝐢𝐧-𝐭𝐢𝐦𝐞 𝐫𝐞𝐦𝐞𝐝𝐢𝐚𝐭𝐢𝐨𝐧 (𝐩𝐚𝐭𝐞𝐧𝐭-𝐩𝐞𝐧𝐝𝐢𝐧𝐠) To fix non-conformities in hours, not days. No more audit fire drills. No more “where’s the evidence” chaos. The result? 🚀 Your team and systems can get audit-ready in 10–20 days 📉 MTTR drops from weeks to hours ✅ Compliance becomes continuous, repeatable, and revenue-enabling We just published a post outlining how startups and SMBs can scale security maturity the smart way—from Cyber Essentials+, to ISO 27001, all the way to NIS2, DORA, and the EU AI Act. 🧭 If you’re building in the #UK or #EU, this will save your team a lot of heartburn. 👉 https://lnkd.in/eUUqAzbp #Startups #SaaS #ISO27001 #NIS2 #CyberSecurity #Compliance #Zerberus #ARR #UKTech #EUTech Zerberus.ai Felix Aravintharaj G

I’ve watched enterprise deals die over a comma. (Especially in 2025 with Fintech–SaaS founders selling to NBFCs & Banks) Because of friction. Friction is the real killer of enterprise deals. Every extra redline. Every clause you thought was boilerplate. Every “we’ll sort that later” in the first draft. Nowhere is this more visible than in deals shaped by RBI guidelines. First-time founders usually get shocked by this: The clauses that look harmless... are the ones that stall the deal. Data security. Indemnity. Audit rights. Founders read contracts like startups. Banks read them like regulators are already looking over their shoulder. I once saw a simple “reasonable efforts” on breach notification turn into three weeks of negotiation over: – 6-hour reporting windows – exact breach definitions – escalation matrices – regulator-facing formats If I had to name the two clauses that create the longest drag: IP ownership & licensing and Indemnity. IP fights can take 4–8 weeks. Banks want perpetual, royalty-free rights for custom integrations. Founders want revocable, time-bound control. Both sides are rational. But if you’re unprepared, it bleeds time. Indemnity is worse. Especially when it touches regulatory action, third-party claims, or platform-linked credit risk. Add data localisation under the Digital Personal Data Protection Act, 2023, and suddenly you’re debating: – server geography – access logs – regulator visibility – incident reporting standards Some clauses are effectively non-negotiable with banks and NBFCs: – regulatory compliance representations – short-notice audits (24–48 hours) – termination for regulatory cause The biggest mindset shift? In SMB deals: Downtime is annoying. Liability caps are predictable. Relationships smooth edges. In bank deals: Downtime is systemic risk. Liability caps get carved out. Everything must withstand inspection. Banks will push for: – uncapped liability for data loss or willful misconduct – SLAs north of 99.7% uptime – meaningful service credits – carve-outs for regulatory fines This isn’t aggression. It’s inspectability. The founders who close faster do one thing differently: They upgrade their contracts before the first redline. They design for: – RBI-aligned indemnities – enhanced SLAs – pre-defined audit scopes – clean IP licensing for bank data A bank-grade template upfront cuts friction in half. The shift that changes everything: Trade flexibility for compliance certainty. Startups optimise for speed and control. Banks optimise for accountability and inspection. Meet them there. Because in regulated enterprise deals, progress doesn’t come from fighting the system. It comes from designing for it. --- ✍ What clause has slowed down (or killed) your toughest enterprise deal? Share below! 

As SaaS vendors scale, integration requirements shift from “nice to have” to mission-critical. But in parallel, the demands of enterprise IT - data residency, compliance, performance, and cost predictability, only become more stringent. At Integration App, we’re addressing this tension head-on by delivering a universal integration layer that runs directly within your infrastructure. Unlike hosted integration solutions or embedded iPaaS platforms that introduce new data flows, latency layers, and vendor-side operational dependencies, our model prioritizes infrastructure sovereignty. You retain full control over how and where integrations execute while benefiting from a platform that automates and abstracts the complexity of connecting to thousands of third-party systems. Here's what that unlocks: 1. Data Sovereignty by Default No proxies. No data egress. Customer data never leaves your environment. Whether you’re in a private VPC, on-prem, or operating under industry-specific compliance regimes (HIPAA, SOC 2, GDPR, FedRAMP), our deployment model ensures your security posture isn’t compromised by integration complexity. 2. Security and Compliance-First Architecture Deploy integrations in line with your own IAM policies, access control frameworks, and encryption standards. All executions occur in your trusted compute environment, enabling full auditability and adherence to internal and external governance requirements. 3. Infrastructure-Native Deployment The integration layer is designed to be deployed alongside your core application stack, whether containerized via Kubernetes or integrated into a custom CI/CD pipeline. 4. Performance Without Penalties Since integration flows run at the edge of your application stack, you avoid the latency and variability introduced by centralized middleware or external orchestration layers. 5. Predictable, Scalable Economics No usage-based throttling. No per-flow billing. With a flat pricing model and no API call metering, you can scale integration volume without introducing infrastructure cost uncertainty. This predictability becomes critical as integration use cases grow across customers, tenants, and third-party systems. AI-Augmented, API-Agnostic By decoupling Integration App logic from specific APIs, and using AI to generate contextual, app-specific execution paths, we eliminate the bottlenecks of manual, one-off integrations.

After reviewing 30+ SaaS contracts last quarter.... I've identified the 50 most commonly overlooked provisions that could save your business from costly disasters. The average enterprise now uses 130+ SaaS solutions, with critical business functions entirely dependent on third-party software. Yet 67% of SaaS agreements lack basic protections for: - Service interruptions - Data breaches - Vendor acquisition/bankruptcy - Unauthorized data usage The cost of these gaps? Companies lose an average of $218,000 per SaaS-related incident. 1. Service Level Agreement (SLA) Terms ☑️ Specific uptime commitments (99.9% isn't enough—define the measurement period) ☑️ Exclusions from SLA calculations (planned maintenance should be capped) ☑️ Meaningful compensation tied to impact (not symbolic credits) ☑️ Response time commitments for different severity levels ☑️ Escalation procedures with named contacts 2. Data Protection Provisions ☑️ Data residency requirements (specify geographic locations) ☑️ Processing limitations beyond standard privacy policies ☑️ Prohibition on de-anonymization attempts ☑️ Detailed breach notification timelines (24 hours should be standard) ☑️ Data return procedures upon termination (specify format) 3. Integration & API Requirements ☑️ API stability commitments with deprecation notice periods ☑️ Rate limiting disclosures and guarantees ☑️ Integration support obligations ☑️ Third-party connector maintenance responsibilities ☑️ Technical documentation updating requirements 4. Termination Rights & Processes ☑️ Partial termination rights for specific modules/services ☑️ Data extraction assistance requirements ☑️ Transition services obligations ☑️ Wind-down periods with reduced functionality ☑️ Post-termination data retention limitations 5. Liability Protections ☑️ Exception to liability caps for data breaches ☑️ Separate liability caps for different violation categories ☑️ Indemnification for vendor's regulatory non-compliance ☑️ Third-party claim procedures with vendor-provided defense ☑️ IP infringement remediation obligations 6. Service Evolution Safeguards ☑️ Feature removal notification periods (90+ days) ☑️ Version support commitments ☑️ Mandatory backward compatibility periods ☑️ Price protection for existing functionality ☑️ Training for significant interface changes Last month, a client using this checklist discovered their mission-critical SaaS provider had no formal commitments on API stability. After negotiation, they secured: - 180-day notice for any API changes - Technical support during transitions - Compensation for integration rework Three weeks later, the vendor announced a major API overhaul that would have cost $200K to adapt to without these protections. Want the expanded 50-point SaaS contract checklist with negotiation strategies for each provision? Comment "CHECKLIST" below and I'll send you the full resource. #contracts #saasagreements #saas #agreements #contractdrafting

The best FinOps tool may never survive your compliance review. A large Indian financial institution evaluates a cloud cost platform. The product team likes the dashboards. Finance likes the savings potential. Infrastructure likes the automation. Then compliance asks one question: “Where does our cost and usage telemetry go?” The answer is an external SaaS environment. The deal stops there. Because cloud billing data is not always harmless metadata. It can expose account structures, resource names, workload patterns, internal projects, regional deployments, application dependencies and even the operating rhythm of critical systems. For a regulated enterprise, that creates a bigger question than cost reduction: Who controls the data, the encryption keys, access logs, retention policy and audit trail? RBI’s outsourcing framework expects regulated entities to retain oversight, manage third party risk and ensure that outsourcing does not restrict regulatory supervision. That makes architecture part of the buying decision, not a box to review after procurement. This is where SaaS-only FinOps platforms hit a wall. The alternative is BYOC or self-hosted FinOps. The platform runs inside the bank’s AWS, Azure, GCP or on-premise environment. Cost telemetry remains under the institution’s control while finance and engineering still get allocation, anomaly detection, forecasting and optimization. FlexC and DigiUsher supports BYOC and self-hosted deployment with no required telemetry egress, alongside a SOC 2 Type II and GDPR posture. For Indian BFSI, the winning FinOps tool may not be the one with the prettiest dashboard. It may be the one compliance actually allows into production. Could your FinOps platform operate without your cloud telemetry leaving your environment? #FinOps #CloudComputing #CyberSecurity #CloudSecurity

When a SaaS company realized HIPAA wasn’t just for hospitals A few months ago, I worked with a SaaS startup building software for healthcare operations. They were talented, passionate, and moving fast. But there was one major blind spot — they believed HIPAA compliance was the hospital’s responsibility, not theirs. That assumption almost cost them dearly. When we looked closer, we found unencrypted backups, overly generous access permissions, exposed API logs, and third-party tools with direct access to sensitive data. None of it was intentional — just the byproduct of building quickly without fully understanding how far HIPAA really extends. The truth is simple: if your product processes, stores, or transmits protected health information (PHI), you’re a Business Associate under HIPAA. Compliance isn’t optional — and it isn’t just for hospitals. To their credit, the team took this seriously. They redesigned their architecture with encryption at every layer, implemented role-based access, audit logging, vendor oversight with BAAs, and regular staff training. Within three months, they were not only compliant but proud of it — using their HIPAA readiness as a strength when pitching to enterprise clients. Here’s what I often tell founders after seeing this pattern repeat: ---Security, privacy, and compliance are distinct but interconnected layers. Collect only the data you truly need. ---Automate governance instead of relying on good intentions. ---Don’t wait for an audit — build compliance into your design. ---Treat compliance as a signal of trust, not a burden. HIPAA isn’t just a regulation. It’s a framework for earning trust in one of the most sensitive industries we serve. When companies start viewing it that way, they stop fearing compliance — and start embracing it as part of responsible innovation. https://lnkd.in/gsBtvU8f #cybersecuritycouncil #cyberpatriot #cyberdoctorlalitgupta

4 KSA PDPL compliance priorities to focus! Watch out if you are a Data Controller or Processor in these industries: e-commerce, healthcare, fintech, and SaaS. [E-commerce] 1. Consent and preference controls Clear cookie, marketing, and profiling choices, plus 1-click withdrawal across email, SMS, WhatsApp, etc. 2. Third-party sharing Minimize what you send to couriers, payment providers, marketplaces, and ad platforms, and review regularly. 3. Return, refund, and fraud workflows Fraud checks and chargeback handling often sprawl across tools. Map them end-to-end in your RoPA: document purpose, and set retention limits. 4. Cross-border readiness CDPs, email tools, and support platforms often process data abroad. Ensure transfer assessments (TIA), safeguards (SCCs), and vendor clauses (DPAs) are in place before scaling campaigns. [Healthcare] 1. Sensitive personal data governance Health data needs stricter controls, purpose limitation, and access rules. Segment systems and enforce role-based access by job function. 2. Data subject rights Standardize how DSRs are received, verified, and fulfilled without disrupting care. 3. Clinical vendor and device ecosystem control Labs, imaging, telehealth, EHR vendors, and connected devices must meet strong processing and security requirements, with audit rights for high-risk partners. 4. Technical measures Encrypt data at rest and in transit, monitor access to records, and run breach incident drills. [Fintech] 1. Purpose limitation for KYC KYC, AML, fraud, and credit decisions touch sensitive data. Define purposes precisely, separate datasets where possible, and avoid reuse for marketing without a valid basis. 2. Transparency for automated decisions If you score, recommend, approve, or decline using models, document logic at a policy level, provide user-facing explanations, and keep strong governance. 3. Vendor chain hardening Payment processors, identity services, analytics, call centers, and cloud providers need strict contractual safeguards and breach timelines. 4. Incident response that meets SDAIA expectations Centralize logs, secure admin access, test playbooks, and ensure you can evidence actions, contain impact, and notify as required. [SaaS] 1. Processor versus controller clarity Define what you do as a service provider versus what customers control. Align your DPA, privacy notice, and product behavior with that split. 2. Default minimization in product Reduce default data collection, mask identifiers, and provide admin tools for deletion, export, and retention settings. 3. Tenant isolation and access governance Strong RBAC, SSO, audit logs, and secure support workflows, including how engineers access customer data and how it is approved. 4. Cross-border data controls by design Offer regional hosting options where possible, document subprocessors, and maintain transfer safeguards and clear customer disclosures. What industry are you in, and what would you add to the priorities?

Usage-based pricing is the future of SaaS. It's also a sales tax compliance nightmare nobody warns you about. Here's the problem: Traditional subscriptions are simple for tax. Customer pays $99/month. Same price, same tax, same jurisdiction. Every month. Usage-based pricing? Complete opposite. Every transaction is different: - Variable charges based on consumption - Mid-cycle upgrades and downgrades - Credits applied to accounts - Overages that spike usage - Prorated billing periods - Different rate tiers kicking in And every single transaction needs an accurate tax calculation. Not once a month. Every time usage changes. Here's where it gets messy: Most tax providers were built for fixed subscriptions. Predictable billing cycles. Clean monthly invoices. They weren't built for modern usage-based models where charges fluctuate daily based on API calls, seats, storage, or compute. Your billing platform (Orb, Maxio, Stripe Billing) handles usage tracking perfectly. But your tax provider? It's choking. So finance teams start doing manual workarounds: - Exporting usage data to CSV - Calculating tax in spreadsheets - Uploading adjustments back - Praying everything reconciles at month-end Or worse, they guess. Apply flat rates. Hope it's close enough. Neither approach scales. Both create massive audit risk. States don't care that your billing model is complex. They want accurate tax collected on every transaction. This is why many SaaS companies delay moving to usage-based pricing even though it's better for customers and revenue. The billing side works. The compliance side doesn't. Plus, Kintsugi just added native integrations with Orb, Maxio, Ordway, Rillet, and Sage Intacct—the modern billing platforms built for usage-based pricing. If you're running variable billing, compliance now actually works: - Tax calculations happen automatically on every usage event - Mid-cycle changes get taxed correctly - Credits and overages are handled in real-time - Everything reconciles without manual exports No more CSV gymnastics. No more spreadsheet tax calculations. Usage-based pricing is where SaaS is headed. Your compliance infrastructure needs to keep up. https://lnkd.in/gad_RF4v #KintsugiPartner

𝐓𝐡𝐞 𝐇𝐢𝐝𝐝𝐞𝐧 𝐂𝐨𝐦𝐩𝐥𝐞𝐱𝐢𝐭𝐲 𝐨𝐟 𝐋𝐨𝐰-𝐂𝐨𝐝𝐞: 𝐍𝐚𝐯𝐢𝐠𝐚𝐭𝐢𝐧𝐠 𝐋𝐨𝐰-𝐂𝐨𝐝𝐞 𝐒𝐚𝐚𝐒 𝐟𝐨𝐫 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐆𝐫𝐚𝐝𝐞 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐀𝐩𝐩𝐬 Building and maintaining production-grade applications with SaaS low-code platforms brings agility, but integration with internal systems and compliance requirements introduces real complexity. Here’s what organizations face and best practices to address these challenges: 🔹𝐊𝐞𝐲 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞𝐬  👉Secure Connectivity ▪Connecting SaaS-hosted environments to on-premises APIs and databases can expose sensitive data if not handled carefully. ▪Securing network traffic (e.g., via VPNs, reverse proxies, or zero-trust architectures) is often required.  👉Compliance and Regulatory Constraints ▪Ensuring data residency, privacy, meeting standards such as GDPR or HIPAA can be difficult when data traverses between cloud and on-premises environments. ▪SaaS vendors might not offer granular control over data storage locations or detailed audit logs required for compliance.  👉API and System Integration ▪Internal APIs may require custom authentication or legacy protocols not directly supported by SaaS platforms. ▪Real-time data synchronization and reliable error handling are critical for business continuity but are harder to implement and monitor with third-party code.  👉Operational Complexity ▪Debugging issues across boundaries (SaaS/cloud vs. on-premise) complicates root cause analysis and troubleshooting. ▪Change management becomes more burdensome as updates on either side (SaaS or internal systems) can break integrations. 🔹Best Practices for Overcoming These Obstacles  👉Leverage API Gateways and Secure Tunnels ▪Use API gateways and secure tunneling solutions to mediate connections, enforce security policies, and log access.  👉Establish Strong Access Controls ▪Implement granular role-based access controls (RBAC) both on SaaS and internal assets to limit and monitor data access.  👉Automate Compliance ▪Use tools that automate compliance monitoring and evidence collection to ensure continuous adherence to relevant standards.  👉Clear Integration Architecture ▪Define a reference architecture for integrations—with documentation for authentication, error handling, versioning, and rollback procedures.  👉Monitoring and Observability ▪Instrument both sides of integration with robust monitoring and alerting to detect anomalies and respond quickly. While low-code SaaS unlocks speed and democratizes development, its intersection with internal systems and compliance demands rigorous planning and partnership across IT, security, and business teams. By combining best-in-class integration practices with strong governance, organizations can realize the benefits of low-code platforms without compromising on robustness or regulatory obligations. #AI #DigitalTransformation #GenerativeAI #GenAI #Innovation  #ArtificialIntelligence #ML #ThoughtLeadership #NiteshRastogiInsights 

𝐘𝐨𝐮 𝐂𝐚𝐧’𝐭 𝐒𝐞𝐜𝐮𝐫𝐞 𝐒𝐚𝐚𝐒 𝐀𝐩𝐩𝐬 𝐘𝐨𝐮 𝐃𝐨𝐧’𝐭 𝐔𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝 Every SaaS application brings unique risks—but most risk assessments treat them all the same. That’s like using one master key for every lock in your enterprise. 🔍 𝟒𝟑% 𝐨𝐟 𝐒𝐚𝐚𝐒 𝐚𝐩𝐩𝐬 𝐚𝐫𝐞 𝐚𝐝𝐨𝐩𝐭𝐞𝐝 𝐰𝐢𝐭𝐡𝐨𝐮𝐭 𝐈𝐓’𝐬 𝐤𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 🔍 𝟓𝟔% 𝐡𝐚𝐯𝐞 𝐨𝐯𝐞𝐫𝐩𝐫𝐢𝐯𝐢𝐥𝐞𝐠𝐞𝐝 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬—𝐞𝐚𝐜𝐡 𝐚 𝐩𝐨𝐭𝐞𝐧𝐭𝐢𝐚𝐥 𝐛𝐫𝐞𝐚𝐜𝐡 𝐩𝐚𝐭𝐡 🔍 𝐀𝐩𝐩-𝐬𝐩𝐞𝐜𝐢𝐟𝐢𝐜 𝐦𝐢𝐬𝐜𝐨𝐧𝐟𝐢𝐠𝐬 𝐭𝐚𝐤𝐞 𝟗𝟎+ 𝐝𝐚𝐲𝐬 𝐭𝐨 𝐜𝐚𝐭𝐜𝐡 Generic scans miss what matters: 𝐭𝐡𝐞 𝐝𝐢𝐬𝐭𝐢𝐧𝐜𝐭 𝐫𝐢𝐬𝐤 𝐩𝐫𝐨𝐟𝐢𝐥𝐞 𝐨𝐟 𝐞𝐚𝐜𝐡 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧. 𝐎𝐮𝐫 𝑨𝒑𝒑𝒍𝒊𝒄𝒂𝒕𝒊𝒐𝒏-𝑺𝒑𝒆𝒄𝒊𝒇𝒊𝒄 𝑹𝒊𝒔𝒌 𝑨𝒔𝒔𝒆𝒔𝒔𝒎𝒆𝒏𝒕𝒔 𝐝𝐞𝐥𝐢𝐯𝐞𝐫 𝐩𝐫𝐞𝐜𝐢𝐬𝐢𝐨𝐧: ✅ 𝐏𝐞𝐫-𝐚𝐩𝐩 𝐯𝐢𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐲 – Not just "you have Salesforce," but "your Salesforce has 3 overprivileged customer data access rules" ✅ 𝟖𝟓% 𝐟𝐚𝐬𝐭𝐞𝐫 𝐫𝐢𝐬𝐤 𝐫𝐞𝐝𝐮𝐜𝐭𝐢𝐨𝐧 – Because we prioritize this app’s critical flaws, not hypotheticals ✅ 𝟗𝟑% 𝐬𝐡𝐨𝐫𝐭𝐞𝐫 𝐚𝐮𝐝𝐢𝐭𝐬 – Real-time scoring of application-level compliance gaps 𝐇𝐨𝐰 𝐖𝐞 𝐃𝐨 𝐈𝐭: 1️⃣ 𝐀𝐩𝐩-𝐛𝐲-𝐚𝐩𝐩 𝐫𝐢𝐬𝐤 𝐦𝐚𝐩𝐩𝐢𝐧𝐠 (Okta ≠ GitHub ≠ Workday) 2️⃣ 𝐀𝐮𝐭𝐨-𝐝𝐞𝐭𝐞𝐜𝐭 𝒂𝒑𝒑𝒍𝒊𝒄𝒂𝒕𝒊𝒐𝒏-𝒔𝒑𝒆𝒄𝒊𝒇𝒊𝒄 𝐦𝐢𝐬𝐜𝐨𝐧𝐟𝐢𝐠𝐬 – Like Salesforce sharing rules or Zoom recording settings 3️⃣ 𝐆𝐮𝐢𝐝𝐞𝐝 𝐡𝐚𝐫𝐝𝐞𝐧𝐢𝐧𝐠 𝐟𝐨𝐫 𝐞𝐚𝐜𝐡 𝐚𝐩𝐩’𝐬 𝐮𝐧𝐢𝐪𝐮𝐞 𝐫𝐢𝐬𝐤𝐬 The outcome? 𝐅𝐞𝐰𝐞𝐫 𝐬𝐮𝐫𝐩𝐫𝐢𝐬𝐞𝐬, 𝐟𝐚𝐬𝐭𝐞𝐫 𝐜𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐜𝐞, 𝐚𝐧𝐝 𝐬𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐭𝐡𝐚𝐭 𝐚𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐦𝐚𝐭𝐜𝐡𝐞𝐬 𝐡𝐨𝐰 𝐲𝐨𝐮 𝐮𝐬𝐞 𝐒𝐚𝐚𝐒. 👉 𝑆𝑒𝑒 𝑎𝑝𝑝𝑙𝑖𝑐𝑎𝑡𝑖𝑜𝑛-𝑠𝑝𝑒𝑐𝑖𝑓𝑖𝑐 risk analysis in action: https://lnkd.in/eEGpna8T #SaaSSecurity #AppSec #RiskAssessment #SaaSGovernance Connect/Follow Me 👉🏼 Vishal Chawla Browse My Content 👉🏼 #BluOceanCyber Sign up for Our Newsletter 👉🏼 https://lnkd.in/eyAzr_2E