Synthesized

🚀 Synthesized uses AI-driven data masking, automatically ensuring compliance with privacy regulations. ✅ This allows organizations to use production data for testing or development without exposing sensitive personal information. 🔒 #DataMasking #TestData #TestDataManagement #Synthesized #PrivacyCompliance #SecureTesting

🌟🇯🇵 Excited to launch Synthesized operations in Japan alongside Norihisa Mukai and Tomo Oku! 🇯🇵🤝 It’s been a fantastic week speaking with customers and partners in Japan and kicking off several strategic initiatives. Thank you, Japan - look forward to strengthening the partnerships! 🤝 Margarita Kurushina Tariq Valente Daniel Crowe Archie Muirhead Marie Lauri Bogdan Gogu Eesha Gholap Minoru Nakajima Arthur Lim Akira Fujiwara Rafaela Andrade Stanislav Kuznetsov Lourenço Salgueiro Elias Hoffner Denis Borovikov Emmanuel Sevrin Stephen Johnston Javier Santiso Andrei Dvornic Philip Milne JP Rangaswami Amy Kobayashi Pascal Emile 🙌 🙏 #testdatamanagement #testdatataquality #digitaltransformation #agiletransformation #tdm #syntheticdata #applicationtesting #softwaretesting

🚨T-Mobile has reached a $31.5 million settlement with the FCC after several data breaches from 2021 to 2023 exposed sensitive information of tens of millions of customers. The 2021 breach alone affected 76.6 million people, making it one of the largest in recent history. 🚀At Synthesized, we understand how costly data breaches can be—not just in terms of financial penalties but also in terms of loss of customer trust and reputation. Many organizations we speak with are still using production data in testing and development environments. Big no no… By removing actual data from non-production environments, businesses can innovate without risking breaches or exposing sensitive customer information. That’s where Synthesized comes in. 💡What can we learn from this story? Consider using production-like data that mimics real-world data, and think of your test data practice as one area that protects your customers from breaches. #DataPrivacy #TestData #TestDataManagment #Synthesized #SecureTesting #DataProtection https://lnkd.in/g7Nz5pZH

🚨 Forrester’s “Predictions 2025: Cybersecurity, Risk, and Privacy” warns that the financial impact of data breaches is growing, with class action lawsuits expected to surpass regulatory fines by 50%. Poor data security costs are no longer limited to fines—companies are now at risk of massive legal payouts. 🔒 At Synthesized, we help organizations proactively prevent breaches by providing a secure way to work with data. With our #testdata infrastructure, businesses can safely provision data to lower environments without exposing sensitive customer information. 📈 With litigation risks and financial exposure rising, adopting a unified approach to test data will fortify your data defenses. Integrating Synthesized’s test data infrastructure can significantly reduce the chances of a breach, protect your business from costly fines, and help accelerate testing and development lifecycles. #testdatamanagement #testdata #dataprivacy #cybersecurity #riskmanagement #databreaches

Automated test data provisioning powered by AI is revolutionizing how organizations overcome AI's data compliance challenges. For businesses looking to stay competitive or struggling to maximize AI's potential due to limited data, understanding synthetic data, its generation, and its immediate business value is essential. db.io/speak - our speaker series that brings thought-leaders into the bank to share new perspectives and debate industry trends – recently had the pleasure of hosting Dr. Nicolai Baldin, Co-Founder and CEO, and Emmanuel Sevrin, Head of Product for Synthesized. Together, they showcased how Synthesized's advanced AI algorithms enable organisations to securely generate, mask, and anonymize realistic, production-like data. This empowers organisations to unlock the full potential of AI and machine learning, accelerate development and testing cycles, and ensure high-quality, reliable applications—all while maintaining compliance with global data privacy regulations like GDPR. Our host, Marie Lauri, Global Head of Data Risks & Controls, emphasized the game-changing impact of synthetic data, noting, "As AI continues to revolutionize industries, synthetic data will play a pivotal role in driving innovation and ensuring compliance in a privacy-focused world. Overall, this shift will create a more agile, secure and forward-thinking workplace for our employees, positioning us for long-term success.” #AI #Data #innovation

🚨 #Citigroup strips COO of responsibility after $136m fine. Following Citi's July fine for failing to deal with its data problems as quickly as the regulator wished, the #FinancialTimes reported today that COO has been demoted and will no longer be sole head of the data overhaul team, thereby losing responsibility for 800 employees. Instead, he will now share management of the team with Tim Ryan, a PWC partner who joined Citi in June. https://lnkd.in/em9mU_Wy #Leadership #DataTransformation #RiskManagement #Banking #Citigroup #LeadershipShift

🌟 "Mastering #ApplicationTesting: Happy Path vs. Negative Path Testing" In modern application testing, it's essential to test both the happy path (when things go right) and the negative path (when things go wrong). Here's why both approaches matter: 🟢 Happy Path Testing ensures core workflows function smoothly, like logging in or completing a purchase. It’s fast, efficient, and guarantees a seamless experience for users following expected behaviors. 🔴 Negative Path Testing goes deeper, handling unexpected inputs and edge cases to identify vulnerabilities and ensure resilience under real-world conditions. 🔑 Balancing happy, negative, and golden paths (optimized workflows) ensures comprehensive coverage. With AI, we can accelerate test creation, simulate diverse user behaviors, and scale testing across complex systems - ensuring faster, more resilient software delivery. Read the full blog here: https://lnkd.in/gNvDeGnJ #SoftwareTesting #TestAutomation #AI #HappyPath #NegativeTesting #DevOps Elias Hoffner Daniel Crowe Denis Borovikov Stanislav Kuznetsov Tariq Valente Eesha Gholap Margarita Kurushina

⭐ Traditionally, Test Data Management has been viewed as a necessary but sometimes costly aspect of software development - a set of tools designed to meet testing needs while minimizing expenses. But what if we could rethink #TDM as a value center? By leveraging #AI and #automation, it is possible to modernize TDM, making it a driver of growth, innovation, and compliance. In a recent post, we explain how this can be done: 🏎  Accelerate time-to-market: integrating automated TDM with CI/CD pipelines reduces time spent on data provisioning, enabling quicker releases and giving businesses a competitive edge. Faster time-to-market can directly translate into increased revenue and market share. 💹 Reduce costs & drive growth: Automated TDM processes reduce manual effort and infrastructure needs, lowering operational costs by up to 30%. These savings can then be reinvested in strategic initiatives that drive growth and innovation. 🔒  Enhance compliance & market reach: Modern TDM approaches ensure that all test data complies with global standards, reducing compliance risks and allowing businesses to expand confidently into new markets and regions. In today’s competitive landscape, transforming TDM into a revenue-generating asset is a necessity. Read more about it here https://lnkd.in/de_vWnAk 🚀 #TestDataManagement #Innovation #Automation #AI #Growth #Compliance #TechTransformation #SoftwareDevelopment #BusinessGrowth #Innovation Denis Borovikov Daniel Crowe Tariq Valente Elias Hoffner Emmanuel Sevrin Nicolai Baldin

✨ Synthesized + #Guidewire Integration spotlight ✨ ⚡ Faster development & testing cycles: Synthesized accelerates Guidewire implementations, allowing quicker releases and faster adaptation to market changes. 🔍 Enhanced data quality & compliance: AI generates realistic, compliant #testdata, ensuring that every scenario is covered, and applications perform flawlessly. 📊 Comprehensive testing coverage: AI ensures thorough testing by generating diverse test cases, reducing the risk of unforeseen issues post-deployment. 💰 Cost efficiency: automating test data management minimizes manual efforts, driving down costs and freeing up teams to focus on innovation. 💼✨ Learn more about it here: https://lnkd.in/eCAZ4JX2 Daniel Crowe Emmanuel Sevrin Stanislav Kuznetsov Elias Hoffner Denis Borovikov #InsuranceTech #AI #Guidewire #TestDataManagement #Innovation #DigitalTransformation #InsurTech

☁ Synthesized + #GoogleCloud integration spotlight ☁ 🤝 The integration of AI-driven test data management with Google Cloud brings cutting-edge test data generation and AI-powered data management directly to Google Cloud customers, transforming the way businesses handle and leverage #testdata. 💫 Synthesized + GoogleCloud Product Video: https://lnkd.in/dvjCEsYp What does this mean for Google Cloud users? ⚡ Accelerated Application Development and Testing: Speed up your testing cycles by automating the generation of high-quality, diverse, and balanced datasets, ensuring your applications are rigorously tested under various scenarios. 🎯 Enhanced #AI/ #ML Capabilities: Improve the performance of your AI models by using test data that fills in gaps and corrects biases in your training datasets, leading to more accurate and fair outcomes. 🔄 Seamless Integration: Enjoy a frictionless experience as Synthesized integrates smoothly with Google Cloud services, allowing for faster deployment, easier management, and better scalability. 🔐 Unmatched #DataPrivacy: Protect sensitive information with ease by generating test data that replicate the properties of your real data - without compromising privacy. For #GoogleCloud customers, this integration means more secure, efficient, and innovative ways to manage and utilize your test data - ultimately driving greater value and success in your AI/ML initiatives. 🎯 Google Cloud Marketplace -> https://lnkd.in/dYTvMHMX #GoogleCloud #SyntheticData #TestDataManagement #AI #MachineLearning #CloudComputing #DataPrivacy Daniel Crowe Denis Borovikov Emmanuel Sevrin Eesha Gholap Margarita Kurushina Elias Hoffner Alex Bichuk Ivan Ponomarev