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In this new SaaStr series called “What’s new at…,” Jason Lemkin chats with WorkOS CEO and founder Michael Grinich about what it takes to be Enterpriseready in SaaS, building vs. buying, and who the stakeholders are in a B2D motion. They offer all the features you need to sell to Enterprise customers.
The $10M ARR Rule for Enterprise Here’s a controversial but important take: If you’re under $10M ARR, stay away from Enterprise. The infrastructure cost for real Enterprisereadiness is massive. Wait until you have the resources to do it right. Your customer schema is as important as your product roadmap.
Now may be the time to turn your eyes to the enterprisereadiness horizon. Here are seven things enterprise SaaS customers look for. #1 It’s not just that enterprises are rich targets. Nothing scares an enterprise customer like security risk. They want to have a clear line of sight to both code and data.
But with digitalization in full drive, are you addressing the enterprisereadiness aspect? If you are building an enterpriseready SaaS application, it’s most likely that you will be looking to provide a unique value offering and to fill the need of a wide variety of customers and users. So what’s the solution?
Laika is an enterprise-readycompliance platform that lets growing companies compete on the same level as any large organization. The all-in-one Stax Platform provides businesses of all sizes the scalable business technology needed to manage financials, payments, invoicing, inventory, sales data, customer data and more.
Which means better customer relationships, more data, and new sources of revenue. Secureframe helps companies get enterpriseready by streamlining SOC 2, ISO 27001, GDPR, CCPA, PCI DSS and HIPAA compliance. StratusGreen is a leading provider of cloud computing solutions and services for emerging and mid-sized businesses.
Access to proprietary data provides a moat. Enterprisereadiness will be an essential : ensuring buyers are safe from legal & compliance risks. Competing on algorithms is possible but hard. Usage & distribution, like in classical SaaS, are likely the most sustainable & repeatable.
It requires a lot more data and funding to compete with this advantage. EnterpriseReadiness: If you can prepare for the needs of a large business before your competitor, it may give you the edge. Enterprise buyers have legitimate concerns about copyright, privacy, compliance, and security –– all new territory for generative AI.
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This combination of retrieval + generation means the AIs knowledge is not limited to its training data; it can be continuously augmented with new and domain-specific information. In fact, Gartners 2024 AI report advises organizations that want to use generative AI on private data to prioritize RAG investments.
Compliance – a. From the GDPR aspect, (especially “the right to be forgotten” clause), you cannot store Personally Identifiable Information (PII) here since it will be very hard to allow the deletion of this data if the customer asks for it. Learn first hand how easy it is to get your SaaS enterpriseready.
Greenhouse Best ATS for Data-Driven Recruiting Pricing: Key Features: Ideal Use Case: 7. Are applicant tracking systems secure and compliant with data privacy laws? These were more common historically for large enterprises with strict data control needs. government agencies or corporations with stringent data policies).
In our previous posts we discussed in detail the generation of JWT tokens , how to secure them, and how to secure your users’ credentials and data on the databases. Learn first hand how easy it is to get your SaaS enterpriseready. Enterpriseready applications will also support SAML as the SSO method.
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SOC 2 certification is a way for SaaS businesses like yours to implement and prove their successful implementation of a security program that protects your customer's data, your intellectual property and your reputation as a responsible independent software vendor (ISV). Table Of Contents What is SOC 2 certification?
Learn first hand how easy it is to get your SaaS enterpriseready. Wanting to retain ownership over your sensitive and complex data and architecture is common. And if you do choose to “lose” control, you need to ask yourself who you are relying on to help you manage your sensitive data? SEE HOW EASY IT IS.
SaaS security related data breaches through cybercrimes are not a new thing in the digital world. Many businesses and companies have reported unauthorized data access and misuse of confidential information to bring the company down. They come up with new ways to access sensitive data and sabotage the operation of different companies.
This is because attackers see your application as an easy way to breach your enterprise customers, through what is commonly known as a "supply chain attack". Enterprises that you sell to are worried about supply chain attacks. They also form the basis of compliance with data privacy laws around the world like GDPR or CCPA.
A theoretical simple flow would be: Search if user exists in DB Insert a new user profile data (personal info) to the DB in pending state Send a request to the secure access service in order to submit all authentication data. Learn first hand how easy it is to get your SaaS enterpriseready. Client activates his user.
But to truly protect your customer data and prevent embarrassing data breaches, you need a web app security testing structure. You're probably reading this because your company is at a stage where you have significant IP and customers' sensitive data to protect. Manual penetration testing services 2-4 times per year.
Founded in 2019, Laika (an enterprise-readycompliance platform) closed a $50MM Series C by the summer of 2022. A CFO is a strategic partner serving as a trusted advisor, arbiter of financial data, and guardian against fiscal blind spots. Hiring a CFO. First: Why hire a CFO, anyway? . The path to success is not linear.
Chinese context and content : DeepSeeks training data includes both Chinese and English text, but the product targets China first. Whether it becomes widely adopted in global SaaS depends on data privacy, compliance and performance beyond benchmarks. In contrast, a US-based SaaS might only use DeepSeek for benign tasks (e.g.
Security & Compliance Risks: Uncoordinated AI implementations often bypass enterprise security protocols, increasing the risk of data exposure, cyber threats, and regulatory violations. Governance Gaps : Without centralized AI governance, enterprises face compliance risks, ethical concerns, and regulatory uncertainty.
While most everyone I knew scratched their head at the enterprise-focused Workday acquiring a more SMB-focused Adaptive, Workday has done a good job simultaneously leaving Adaptive alone enough to not disturb its core business while working to get the technology more enterprise-ready for its customers.
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