Recently, we had the opportunity to speak with Andy Smith, the Chief Marketing Officer at Laminar, a leading agile data security platform provider. In our discussion, we explored the current landscape of data security in the cloud and how Laminar is pioneering new paths in this complex domain. Smith highlighted the pressing challenges that companies face today, emphasizing that traditional security methods are no longer sufficient in this dynamic environment. The growing gap between innovation in cloud operations and lagging data security measures is a cause for concern.
Smith outlined several specific examples of complex threats to data security in the cloud. These include the proliferation of “shadow data” that is often under-protected and not monitored, the increased risk of unauthorized access to sensitive information, misconfigured cloud storage that allows unintended public access to data, compromised API keys that serve as potential entry points for cybercriminals, the use of shadow IT applications that do not adhere to security policies, insider threats, and advanced persistent threats (APTs) that can cause significant damage.
To address these challenges, Laminar has introduced two new features to its comprehensive Data Security Platform: Data Access Governance (DAG) and Data Detection and Response (DDR). These additions enable Laminar to offer complete identify, protect, detect, and respond capabilities for multi-cloud and SaaS data security. DAG helps minimize the blast radius from data leaks by controlling access to sensitive data, while DDR alerts security teams in real-time about breaches and anomalies, allowing for quick containment of threats.
The Laminar Data Security Platform integrates five critical functions: data discovery and classification, data security posture management (DSPM), data access governance (DAG), data detection and response (DDR), and privacy & compliance. This comprehensive approach sets Laminar apart as the only data security provider to offer such a holistic solution.
The advantages of Laminar’s solution are numerous. DAG allows companies to control access to sensitive data, minimizing the potential damage from leaks. DDR alerts enable quick detection and response to breaches and anomalies. Other capabilities, such as data landscape intelligence, DSPM, and privacy & compliance, contribute to a robust and comprehensive security system.
Smith advises companies to adopt a proactive and security-in-depth approach to data security. He emphasizes that security is an ongoing process that requires agility and holistic solutions. Best practices for achieving agile data security in the cloud include embracing a holistic view of data security, implementing agile data security measures, enforcing least privilege access, utilizing DSPM, deploying DAG and DDR, ensuring privacy & compliance, leveraging machine learning and AI, promoting continuous learning and improvement, and investing in automation.
Looking ahead, Laminar plans to continue pushing the boundaries of data security, aiming to create the most agile and adaptive data security platform that meets the evolving needs of clients. In conclusion, the complex landscape of digital threats requires robust, versatile, and agile responses. By following best practices and utilizing comprehensive platforms like Laminar’s, organizations can effectively safeguard their cloud data.
Key Points:
– Traditional data security methods are no longer sufficient in the dynamic cloud environment.
– Complex threats to cloud data security include shadow data, unauthorized access, misconfigured cloud storage, compromised API keys, shadow IT, insider threats, and APTs.
– Laminar’s Data Security Platform offers comprehensive capabilities, including DAG and DDR, to address these threats.
– The advantages of Laminar’s solution include controlling access to sensitive data, quick detection and response to breaches, and a holistic approach to security.
– Best practices for achieving agile data security in the cloud include embracing a holistic view, implementing agile measures, enforcing least privilege access, utilizing DSPM, deploying DAG and DDR, ensuring privacy & compliance, leveraging machine learning and AI, promoting continuous learning, and investing in automation.
– Laminar plans to continue innovating in data security to meet the evolving needs of clients.
