FAQ

We are planning to open up our public beta to allow users early access to our solution. Follow the 'Request Early Access' button in the top right corner of this page to stay tuned for updates! 

We work very diligently to ensure our integrations are secure and are able to scale without interruptions. We release support for new security solutions every month. If we're missing a connector for one of your security solutions, please request that integration on our Integrations page.

We prioritize data security through rigorous encryption standards. Data in transit is shielded using the latest TLS 1.3 or SSL protocols, while data at rest enjoys robust protection under individualized encryption keys for every customer. A hierarchical encryption key system further fortifies security with a key-encrypting key guarding the content-encrypting key. Additionally, a Hardware Security Module (HSM) oversees key management and safety, supplementing our secure infrastructure.

1. Comprehensive Security Data Management
   By centralizing a diverse array of security-related data from tools including SAST, Vulnerability Management, CNAPP, Identity, EDR, and CMDB in a unified warehouse, Monad facilitates a more holistic approach to identifying and managing security risks. This endeavor enables organizations to cross-reference and correlate insights across domains, unearthing the most critical vulnerabilities and issues that necessitate immediate attention. Leveraging Monad's sophisticated data modeling, teams can streamline their remediation efforts, benefitting from a unified and prioritized view of risks derived from a rich dataset. This robust approach transcends traditional vulnerability management, offering a comprehensive lens to pinpoint and address security concerns promptly and effectively, thereby fortifying the organization’s security posture.

2. Security Data Lake Enabler
   Monad plays a vital role in establishing security data lakes, handling all aspects of security data ELT (Extract, Load, Transform). It efficiently funnels critical security data into security data lakes, serving as a robust backbone for various security initiatives grounded in meticulous data management and utilization. 

3. Security Data Ingestion and Normalization
   Monad transforms vast arrays of data into actionable insights, serving as a cornerstone for any effective detection and response or vulnerability management program. This process is pivotal in enabling a data-driven approach to security, enhancing efficiency, and effectiveness in handling security concerns.

4. Accelerator for Security Vendors
   Security vendors have the opportunity to build highly efficient and advanced apps grounded on the backbone of Monad’s enterprise-grade security data ELT pipelines. This grants vendors the freedom to craft solutions for specific use cases, leveraging normalized and comprehensive datasets that Monad consolidates and refines from a variety of security solutions. This methodology fosters a landscape where security solutions can be more adaptive, responsive, and robust, ensuring a higher standard of security services. If you’d like to find out more about this use case or any of the use cases above, reach out to hello@monad.com.

Security teams appreciate Monad for significantly reducing the administrative burden involved in managing multiple tools and routing data, empowering them to focus on vital security initiatives and staying ahead of attackers. By assuming responsibility for your security data management, Monad allows teams to pivot to a proactive security stance, concentrating their efforts on critical areas and fostering a protective organizational environment.

While SIEM solutions have been a mainstay in security infrastructures, they often entail limitations such as requiring specialized query languages and offering less portability for data. Moreover, they are generally more constrained in their ability to ingest and normalize security findings and issues from various security solutions, sometimes leading to missed contexts and nuances.

Monad, on the other hand, revolutionizes this space by providing a more flexible and comprehensive approach to handling security data. Here is how:

1. Portability and Flexibility: Monad facilitates data portability and knocks down silos, allowing teams to utilize business intelligence tools of their choice in a data warehouse environment. Teams can query data using SQL, Python, or other preferred languages, rather than being restricted to proprietary languages associated with SIEMs.

2. Advanced Data Handling: Monad takes care of the Extract, Load, Transform (ELT) process of security data, adeptly centralizing, deduplicating, and normalizing data from diverse security solutions, which often have different output schemas and API integrations. This not only eliminates the complexity arising from handling various data types but also presents a more accurate picture of the security landscape.

‍Empowering Security Data Lakes: Monad stands as a crucial enabler for security data lakes, orchestrating the comprehensive ELT of security data, thereby injecting a fresh breath of efficiency into security data lakes. It ensures that these data repositories are rich, usable, and primed for detailed analysis, setting a strong foundation for a robust security infrastructure.

A security data lake is a centralized repository that allows you to store, organize, and analyze a large volume of security data in its native format. It’s designed to hold a vast amount of data, ranging from structured data such as databases to unstructured data like plain text files. This data can be pulled from various sources, giving organizations the ability to analyze different data types comprehensively and cohesively. A security data lake leverages big data technologies to enable advanced analytics through machine learning and artificial intelligence to identify patterns and anomalies that traditional security solutions might miss.

Monad enables teams to leverage and interconnect data drawn from key security tools efficiently. It normalizes, deduplicates, enriches and consolidates this data into a chosen data warehouse to empower security teams to focus on the security issues that matter most. Tailored to meet diverse needs, Monad can be deployed both as a SaaS and on an on-premise basis, offering flexibility in its application.

In a typical enterprise environment, the average security team finds itself grappling with a multitude of security solutions and the accompanying deluge of issues. These solutions, managed by different teams, produce security findings, vulnerabilities, and alerts, each with its own dashboard, unique output schema and API integrations. This variety not only fragments critical security data but also complicates the processes of deduplicating, normalizing, and centralizing the data to derive an accurate depiction of the security landscape. Monad steps in here, deftly handling the security data ELT (Extract, Load, Transform) processes, thereby streamlining the data into a coherent format and placing it exactly where you need it. This intervention allows for an efficient, data-driven approach to understanding and enhancing organizational security, alleviating the complexities entailed in managing diverse security solutions.