Normalyze
Click to visit website
About
Normalyze is a Data Security Posture Management (DSPM) platform that helps enterprises secure their data across various environments. It uses AI-powered scanning to discover and classify data, identify risks, and prioritize remediation efforts. Normalyze offers a data-first approach, focusing on understanding data location, access, and usage to enable effective security and governance. It integrates with various tools and offers customizable features for different needs. The platform's graph visualization provides a comprehensive view of data access and trust relationships, enabling proactive risk mitigation and compliance.
Platform
Task
Features
• real-time monitoring
• regulatory compliance
• integration with various tools
• machine learning
• data discovery and classification
• data access governance
• data risk management
• agentless scanning
FAQs
What is Normalyze?
Normalyze is a comprehensive Data Security Posture Management (DSPM) platform that provides holistic transparency and visibility into the security posture of the data in any environment, making it easy to understand the risks and take appropriate action. Normalyze provides security teams the ability to analyze, prioritize and respond to data threats, and prevent sensitive data leakage efficiently.
Why do I need Normalyze?
Existing cloud security solutions focus on securing the infrastructure or the workloads that make up your cloud environment. This helps you shield your cloud infrastructure from attackers getting in but you still need to protect your most valuable asset (data), especially if it contains sensitive information. Normalyze puts data at the center of your cloud security program so you can get the full picture of your data stores, applications, identities, infrastructure and how they all connect across all cloud service providers (CSPs), PaaS environments (like Snowflake), SaaS applications, and on-prem environments. You can discover, classify, and visualize any sensitive data at risk of compromise, who has access to it and what you need to do to secure it or achieve compliance with various regulatory standards.
How are you different from CNAPP/CSPM/CWPP/CIEM? How are you different from data discovery solutions?
These solutions either focus on infrastructure security a la misconfigurations (CSPM), vulnerabilities (CWPP), or access issues (CIEM). Normalyze focuses on identifying sensitive data in your environment first and connects all the dots around it to determine the likelihood of risk – misconfigurations, elevated access and permissions across accounts, vulnerabilities, etc. – that could lead to compromise of sensitive data. Without the data insights you end up with a high number of alerts from various tools that are not actionable and will be difficult to prioritize. Data discovery solutions are focused mainly on scanning data to categorize it against certain regulatory frameworks such as PCI, HIPAA and GDPR. They act as recommendation engines rather than enforcement as they don’t bring any context about the environment where the sensitive data resides, who has access to it and what type of access, config or vulns is associated with it. Normalyze is a technology platform that brings it all together so you can discover and classify data then enforce remediation based on risk and attack paths that can lead to sensitive data. If you have built data catalogs in other tools, Normalyze can import these data catalogs and use them while scanning cloud data stores to help you classify sensitive data based on these custom catalogs.
How does Normalyze work?
Behind the scenes, Normalyze operates in 3 phases: 1. **Discovery and Analysis**: Normalyze builds an intelligent graph with deep context and transitive trust relationships that represents all the data stores as well as compute elements, permissions, apps, etc. that connect to it. The Normalyze data scanner then does a deep scan of the data and determine what data stores house sensitive information and automatically maps it to specific profiles such as PCI, HIPAA and GDPR. 2. **Detection and Prioritization**: Normalyze prioritization engine identifies risk paths discovered through the graph (likelihood of compromise) and prioritizes them based on sensitivity of the data at risk (impact of the attack). 3. **Remediation and Prevention**: Normalyze lets you integrate with a variety of external tools for notification, ticket creation, workflow triggering, etc. so that you can take remediation steps when relevant issues are found. You can automate the remediation based on types of accounts, risks, resources, severity, etc. As a security engineer, your automation rules can be thought of as your policy, and any violations result in actions.
How do I onboard my cloud accounts to Normalyze?
Normalyze offers a simple process for onboarding of cloud accounts via CloudFormation (AWS), Onboard script (GCP) or Terraform. Onboarding cloud accounts to Normalyze is typically completed in a few minutes. Normalyze only seeks the minimum permissions required in your cloud accounts and creates modular roles that minimize scope of permissions to specific product capabilities being enabled.
I have an organization with hundreds of accounts. Can Normalyze onboard multiple accounts in one go?
Yes, you can onboard multiple accounts – no upper limit – at once. When you want Normalyze to secure multiple accounts, instead of onboarding each account individually, you can onboard the management account. The process of onboarding a management account is similar to onboarding a standalone account and is completed within minutes. Normalyze automatically discovers all the child accounts under the onboarded account. You also have the flexibility to pick and choose which accounts under the organization they would like to be monitored. Normalyze provides a URL to create a StackSet in the AWS console and you can select particular OUs or individual accounts under the root account that need to be onboarded.
What is unique about the Normalyze graph?
The Normalyze graph displays a graph of access and trust relationships that includes deep context with fine-grained process names, data store fingerprints, IAM roles, and policies displayed in real time. It quickly helps you to locate all data stores containing sensitive data, find all access paths, and score potential breach paths based on sensitivity, volume, and permissions to show all breaches waiting to happen.
How does Normalyze access my data?
Normalyze deploys lambdas in your cloud environment to do the discovery and scanning of data. Using patent-pending one-pass data scan technology, it scans the data, both structured and unstructured, within your environment and only collects metadata to add to the graph. No sensitive data is collected at any point during scanning. Normalyze deploys the lambdas to the cloud regions where scanned data reside, thus eliminating high egress charges and preserving data residency.
What is unique about the Normalyze data scan architecture?
1. High data privacy as no data will leave your environment – whether sensitive or not. 2. Support for both structured and unstructured data stores. 3. The data sampling rate can be tuned giving you the flexibility to save time/cost when scanning large data stores. 4. It’s the most cost-effective scanning solution compared to any other solution – typically 20x cheaper than native CSP scanning. 5. The ability to detect individual sensitive entities such as name, SSN, CCN, etc. and to combine entities via profiles to check for proximity of these entities reduces false positives when identifying sensitive data, especially within unstructured data stores.
What does it cost me to run Normalyze data scanners in my cloud accounts?
We calculated that scanning 1TB should cost about $50. In real customer environments, we’d expect sampling as well as scanning on a less frequent basis which should result in much lower costs.
What is unique about Normalyze one-pass data scanners?
Normalyze data scanners use our patent-pending one-pass architecture. With one-pass scanning, all sensitive data entities and profiles can be detected in a single pass through the text of the data, regardless of how many entities we are looking for. This has a few benefits: 1. **Zero upfront configuration**: You don’t need any upfront configuration to figure out what type of sensitive data exists where. We simply look for everything with one-pass, achieving lower time-to-value. Compare this to typical scanners which require a lot of technical training before you get value from the product. 2. **High performance**: Scan times are much lower. Compute efficiency is much higher, saving money and time. You can iterate faster during incident response.
What are some typical use cases Normalyze cover?
Normalyze discovers all cloud-native data stores including structured and unstructured, in IaaS, PaaS, SaaS, and on-prem environments. **Unstructured data**: S3, GCS, Azure Blob, EBS **Structured data**: Amazon RDS (MySQL, Postgres, Aurora, MariaDB), Amazon Redshift, Google CloudSQL (MySQL, Postgres), Azure MySQL, Azure Postgres, MongoDB, DocumentDB [Use cases](/use-cases/) include: * [Data discovery and classification](/data-discovery-classification/): Rapid and cost-effective discovery and classification of all data stores – even the ones you do not know exist. * [Data access governance](/data-access-governance/): Evaluation of access to your data from all users and identities, and enforcement of the principle of least privilege. * [Data risk management](/data-risk-management/): Identification and visualization of risks in real time based on the data context with integrated remediation workflows to resolve them quickly. * [Regulatory compliance](/regulatory-compliance/): Continuous checks against regulatory benchmarks to keep you ahead of compliance audits.
How can you scale your data scanning connectors to cover all data sources/types?
The Normalyze common data scanner framework allows the creation of new data store connectors quickly. The framework connects to the various data stores and brings the data into a common format that can be easily parsed and scanned in the same way across all data types.
I have multiple terabytes of data in my cloud account. Can Normalyze efficiently provide visibility into it?
This is a common scenario for our customers. The sampling process allows Normalyze to get very good visibility into the datastores regardless of the size. Normalyze platform can be scaled horizontally in an automated way to support your large data volumes.
I already have product X. How does Normalyze integrate with it?
Normalyze is built on open APIs and it can be easily integrated with third-party solutions to bring their data in and integrate it into the Normalyze graph. Any data you see on the UI is also accessible via APIs. Also outbound integrations with ticketing and notification solutions can be easily achieved via webhooks that are available out-of-the-box. If you have specific requests for integrations, let us know and we’ll be happy to build a connector for you.
Job Opportunities
There are currently no job postings for this AI tool.
Ratings & Reviews
No ratings available yet. Be the first to rate this tool!
Featured Tools
Songmeaning
Songmeaning uses AI to reveal the stories and meanings behind song lyrics. It offers lyric translation and AI music generation.
View Details
Whisper Notes
Offline AI speech-to-text transcription app using Whisper AI. Supports 80+ languages, audio file import, and offers lifetime access with a one-time purchase. Available for iOS and macOS.
View Details
GitGab
Connects Github repos and local files to AI models (ChatGPT, Claude, Gemini) for coding tasks like implementing features, finding bugs, writing docs, and optimization.
View Details
nuptials.ai
nuptials.ai is an AI wedding planning partner, offering timeline planning, budget optimization, vendor matching, and a 24/7 planning assistant to help plan your perfect day.
View Details
Make-A-Craft
Make-A-Craft helps you discover craft ideas tailored to your child's age and interests, using materials you already have at home.
View DetailsPixelfox AI
Free online AI photo editor with comprehensive tools for image, face/body, and text. Features include background/object removal, upscaling, face swap, and AI image generation. No sign-up needed, unlimited use for free, fast results.
View Details
Smart Cookie Trivia
Smart Cookie Trivia is a platform offering a wide variety of trivia questions across numerous categories to help users play trivia, explore different topics, and expand their knowledge.
View Details
Code2Docs
AI-powered code documentation generator. Integrates with GitHub. Automates creation of usage guides, API docs, and testing instructions.
View Details