Futuriom 50 Pick Normalyze Grants Patent For DSPM

October 16, 2023

Futuriom 50 pick, Normalyze, grants a patent for Digital Signal Processing Monitoring (DSPM) technology. We’re used to hearing vendors toot their own horns, but this one is worth a double-take: Futuriom 50 pick normalyze has been granted a patent for its technology.

Normalyze provides cloud data security solutions to help customers secure their data, applications, identities and infrastructure across public clouds. Its agentless and machine-learning scanning platform discovers resources, sensitive data and access paths at scale.

1. DSPM enables security teams to quickly identify shadow data.

As data grows and moves across platforms, IT teams are challenged to know where sensitive data resides in their cloud environments. Unlike legacy castle and moat approaches, security teams need 100% visibility of all their data to ensure it is protected in the cloud. This is why DSPM is so important. DSPM enables security teams to quickly identify shadow data – that is, data that doesn’t appear in a regular inventory or may have inaccurate access privileges. By identifying these vulnerabilities, DSPM solutions can help to prevent security breaches and regulatory violations.

To be effective, DSPM must provide comprehensive coverage of the entire enterprise data environment and support multiple platforms and applications. This includes on-premises systems and the major IaaS (AWS, Azure, etc.), SaaS (Google Cloud, Salesforce), and PaaS (Databricks, Snowflake) data stores. Additionally, DSPM must include discovery capabilities that can discover both structured and unstructured data across native cloud databases (e.g., EBS volumes and S3 buckets), as well as a variety of other cloud data storage technologies such as block storage, file storage, and PaaS platforms.

DSPM must be integrated with the underlying technologies, tools, and processes to guarantee seamless operation. This includes ensuring that DSPM can work with existing intrusion-detection systems and providing real-time insights into the organization’s security posture. In addition, DSPM must be regularly updated to account for new applications, data sources, and changes to existing policies.

The DSPM solution must also be capable of monitoring real-time data access patterns and user behavior to detect anomalies. This can be used to quickly identify suspicious activities, such as the unauthorized exfiltration of sensitive data from cloud environments. Lastly, the DSPM solution must be able to provide automated remediation capabilities to address any potential risks that are detected.

As the number of data breaches continues to rise, organizations need a better way to protect their data. With the increasing use of cloud-based services, it is imperative that organizations implement a robust DSPM program. DSPM helps to ensure that all sensitive data is protected in the cloud and that the security posture is maintained, even as new data is added or old data is modified.

2. DSPM enables security teams to detect and remediate risks.

The goal of security teams is to safeguard the organization’s assets and prevent data breaches. DSPM is critical to this effort because it provides visibility into the data an organization has in its custody and how that data is being accessed. This helps organizations identify and remediate risks to ensure that sensitive data is protected in accordance with regulatory requirements, such as GDPR.

The reality of modern environments is that data is everywhere – in file systems, databases, data lakes, warehouses, and other cloud services. This means that there are many potential access paths for attackers to exploit, making it difficult to protect against threats. Despite the growing adoption of cloud technologies, many organizations still lack a comprehensive view of their data. As a result, they are at risk of data breaches and other security incidents that could lead to financial losses and damage their reputation. DSPM solutions provide visibility into these hidden areas of an organization and can help mitigate the risk of data loss by discovering, classifying, and cataloging data at rest and in motion.

Unlike DLP, which focuses on preventing the loss of data, DSPM solutions are able to detect and remediate risks related to the exposure of sensitive data. These capabilities enable DSPM solutions to rapidly assess how the application of complementary data security controls can reduce the overall business risk.

In addition, a DSPM solution should integrate with other security tools to allow for a more holistic approach to data protection. For example, it should be able to automatically discover, classify, and tag data in order to assess its sensitivity level and security posture, as well as provide context to help prioritize alerts. It should also be able to analyze and compare data against existing policies in order to identify and prioritize compliance issues.

Normalyze, a pioneer in enabling agile data security for the cloud, recently earned a patent for its agentless discovery and threat analysis platform that allows organizations to scan and visualize their entire public cloud attack surface within minutes. The company’s patented technology uses graph-based discovery to connect data with applications, infrastructure, settings, and vulnerabilities in order to discover sensitive information and correlate attack paths. The resulting data-centric visualizations and remediation guidelines help enterprises quickly address gaps in their security posture and reduce the risk of data breaches and other costly consequences.

3. DSPM enables security teams to manage data in motion.

Data security is a vital component of any organization, and it’s critical to implement robust measures to secure sensitive information. DSPM helps to reduce risk by giving security teams visibility into where sensitive data is located, who has access to it, and how it’s being used.

DSPM also helps to identify and remediate risks, ensuring that data is protected in line with regulatory compliance requirements. For example, a business may need to comply with Payment Card Industry Data Security Standards (PCI-DSS) in the financial sector or Health Insurance Portability and Accountability Act (HIPAA) in healthcare. Using a DSPM solution, organizations can automate many processes that are required to meet these regulations. This helps to save time, simplify audits, and reduce the risk of fines.

In addition, a DSPM solution can help to improve the detection of threats by connecting the dots between the risks and sensitive information. For example, a DSPM solution can automatically trace network paths at scale between all points of access to cloud-resident sensitive data and detect unauthorized access to that data. It can then alert the security team to this unauthorized activity and provide one-click remediation options.

Finally, a DSPM solution can also enable security teams to manage the entire lifecycle of data. This includes identifying sensitive data at the beginning of a project, scanning for potential security risks throughout the lifecycle of the project, and detecting changes to the data. Moreover, a DSPM solution can also automatically remediate these risks to prevent data breaches and other security incidents.

Security professionals are used to vendors tooting their own horns, but one event stands out above all others as a mark of technical leadership: earning a patent from the U.S. Patent and Trademark Office. Normalyze was recently granted US Patent #11,575,696 for “Cloud Data Attack Path Detection Based on Cloud Security Posture and Resource Network Path Tracing.” This patent is the foundation of our unique, data-first approach to securing sensitive data in cloud environments. It enables the Normalyze DSPM platform to connect the risk to sensitive data in customer cloud environments, providing better context and eliminating thousands of false positives generated by other siloed tools.

4. DSPM enables security teams to detect and remediate data in transit.

As data continues to move rapidly across cloud environments, security teams need a way to continuously identify sensitive information in motion and monitor access patterns to protect against potential threats. DSPM enables security teams to detect anomalous data flows and user behavior and take action before attacks can be carried out. This approach focuses on monitoring and protecting data in transit, rather than relying on preconfigured rules and policies that may not be updated as often as the business requires.

DSPM identifies and categorizes sensitive data at rest or in motion, then uses this data catalog to provide a clear view of an organization’s risk posture. This helps to ensure that sensitive data is protected against both internal and external threats, reducing the likelihood of a breach or other security incident. It also enables security teams to remediate issues identified by the risk assessment process, including misconfigurations and vulnerabilities that can be exploited by attackers.

The patented technology in this patent allows the Normalyze DSPM platform to track and analyze lineage for all data assets, at both a granular and aggregate level. This allows security and data engineering teams to visualize all the data and applications in their environment, as well as to easily see who has accessed which assets. This information can then be used to identify any potential risk to sensitive or regulated data, such as violations of data residency, security and privacy policies, or the presence of shadow data.

Using a combination of machine learning algorithms and advanced log analytics, DSPM tools can also detect suspicious activity in real time and prioritize alerts by identifying the most critical data that could be exposed. This helps to ensure that security and DevOps teams are able to respond quickly and accurately to any incidents that occur.

Besides helping to reduce the risk of a data breach or other security incident, DSPM can also enable businesses to realize cost savings in several ways. First, it can help to mitigate the cost of security incidents by providing insurance against ransomware or other attacks. Second, it can help to reduce costs by automating manual processes such as policy checks, data classification, and periodic sampling or scanning of stored data.

Ammar Fakhruddin

ABOUT AUTHOR

Ammar brings in 18 years of experience in strategic solutions and product development in Public Sector, Oil & Gas and Healthcare organizations. He loves solving complex real world business and data problems by bringing in leading-edge solutions that are cost effective, improve customer and employee experience. At Propelex he focuses on helping businesses achieve digital excellence using Smart Data & Cybersecurity solutions.


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