Logo

Enhanced Data Security Posture Management with Safestream

March 2, 2023SafeLiShare

Data security posture management is the framework for informing an organization’s strategy and procedures related to protecting sensitive data and ensuring compliance with relevant laws, regulations, and policies. It helps organizations identify potential risks to their data assets and ultimately prevent them from becoming vulnerable to malicious threats by using multiple layers of defense such as authentication, encryption, monitoring, and logging. Sensitive data is any type of information that might be used by malicious actors to harm an individual or business if exposed. Types of sensitive data can include biometrics (face scans), financial information (bank accounts), and other forms of confidential records. With proper protection in place, organizations can securely store this valuable information while mitigating their exposure to costly cyberattacks or legal liability from data breaches.

Data Security Posture Management (DSPM) tools empower enterprises to identify and remediate risks through security assessments and automated compliance monitoring. Enterprise data may contain PII and other private attributes that would necessitate processing the data only within the enterprise.

Typically DSPM tools deploy software inside an enterprise to access and classify this kind of data. The solution consists of a classification agent that processes, identifies and creates metadata that is sent to a server for processing. The server analyzes the metadata and creates rules based on user policies that are sent back to an enforcement agent for filtering the data being consumed.

enhanced data security posture management with safestream 1

Cloud based SaaS

If the DSPM vendor wants to offer a SaaS service they can host their server in the cloud and let the agents process data locally in the enterprise. Below is a possible deployment for such a service.

enhanced data security posture management with safestream 2

According to Gartner’s Market Guide for SaaS Management Platforms (ID G00745874), the assumptions are very alarming and predicting the loss of data custodianship is inevitable.

Through 2027, organizations that fail to centrally manage SaaS life cycles will remain five times more susceptible to a cyber incident or data loss due to misconfiguration.

Through 2027, organizations that fail to attain centralized visibility and coordinate SaaS life cycles will overspend on SaaS by at least 25% due to incorrect and unnecessary entitlements and not rationalizing overlapping tools and instances.

Challenges with SaaS offering

SaaS spend continues to grow by 15-20% annually, as organizations maintain an average of over 125 different SaaS applications totaling $1,040 per employee annually. IT typically is aware of only a third of those due to decentralized ownership and sourcing. (Gartner G00745874). The visibility of all SaaS applications is already a challenge. We can guarantee that the access log or auditability is not possible in this mess.

They DSPM vendor would have to convince the enterprise that:

  1. the data is not being moved out of their domain;
  2. any metadata processed on the server is protected and is kept private.

In addition, the vendor may like to protect the IP of his classification/ enforcement agents.

SafeLiShare enables the vendor to execute agents on the server hosted by SafeLiShare platform to solve the above challenges. For more information on how to take your data custodianship and access control back on SaaS or flow the logs into your DSPM platform, contact us at info@safelishare.com.

enhanced data security posture management with safestream 3

The SafeLiShare platform can enforce that only a certain code with known measurement can execute inside the enterprise that has access to the data. If the code is curated the enterprise can be ensured no data is being shipped out by the enclave.

The code will be executed inside a confidential computing platform and if it is encrypted then it will not be visible/usable to anyone in the enterprise. This will provide program privacy to the DSPM vendor.

The metadata processing on the server can be completed in a SafeLiShare Secure Data platform. This will ensure that the encrypted metadata sent from the agent is not visible to the cloud service provider or to other administrators.

Summary

SafeLiShare Secure Data platform can be used to quickly convert an existing on-premise application to a SaaS service while gaining privacy and security. For more information on how to take your data custodianship and access control back on SaaS or flow the logs into your DSPM platform, contact us at info@safelishare.com. We look forward to hearing from you soon.

Share on social media

Experience secure collaborative computing today.

Learn more about how SafeLiShare works

Experience secure collaborative computing today.

Suggested for you

AI, Data, and Privacy Preservation: Trends and News from RSA 2023 Related to Confidential Computing

April 30, 2023

AI, Data, and Privacy Preservation: Trends and News from RSA 2023 Related to Confidential Computing

The annual RSA Conference(RSAC) #RSAC2023 was held last week in San Francisco, featuring many cybersecurity professionals aiming to attract customers, prospects, and partners.

Key Benefits of Data Sharing in Industry 4.0

March 14, 2023

Key Benefits of Data Sharing in Industry 4.0

Industry 4.0 encourages collaboration between different companies as they are able to analyze each other’s data more easily and share their findings.

SaaS Data Security: How to Ensure Your Data is Safe

March 9, 2023

SaaS Data Security: How to Ensure Your Data is Safe

SafeLiShare solves data privacy in SaaS with a cryptographic infrastructure service with easy API and CLI toolkit. It provides tamper-proof guarantee the security of customer data...

Cloud Data Life Cycle Explained

March 8, 2023

Cloud Data Life Cycle Explained

During the data life cycle, sensitive information may be exposed to vulnerabilities in transfer, storage, and processing activities.