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Here’s a visual representation to give you the fastest overview of Needl.ai's service architecture.
Needl.ai’s infrastructure is designed to have physical access and logical access controls. Needl.ai uses AWS, a sub-service organization, to manage the physical access to its resources. Logical access control is managed by Needl.ai.
When a user clicks on specific documents or images to view the data, Needl.ai returns signed URLs to them after first verifying that the user has access to the content. This signed URL is valid only for a limited duration. Needl.ai receives this URL in their data store and verifies that the URL is from a legitimate user and is tamper-free.
Needl.ai’s user login and password information is stored on AWS’s Cognito Service which is secure and supports compliance with a variety of standards such as SOC2, ISO 27001, etc. For more details visit: ( https://aws.amazon.com/cognito/details ).
In addition, every data access request made to Needl.ai is authorized via AWS Cognito. This means that only the authenticated users can view or retrieve their data. Further for enterprise customers, they can integrate their active directory and sign on using SSO/SAML.
Needl.ai user login and password information is stored on Azure AD B2B Service which is secure and supports compliance with a variety of standards such as SOC2, ISO 27001 etc. You can view more details here: (https://aws.amazon.com/cognito/details/ ). In addition, every data access request made to Needl.ai services is authorized via Azure AD B2B. This means that no one other than the authenticated user can view or retrieve their data. Further, for enterprise customers, they can integrate their active directory and sign on using SSO/SAML.
Needl.ai uses OAUTH2.0 authentication standards ( https://oauth.net/2/ ) to sync applications wherever possible. Needl.ai does not store login credentials and passwords for any applications, instead uses a secure and encrypted database to store the access and refresh tokens. The user has the right to revoke access for Needl.ai to sync with any application at any time. For applications like WhatsApp, Needl.ai requests a two-factor consent from the user which includes an OTP and QR code scan. The resultant session cookies are stored in a secure and encrypted form in Needl.ai's data stores.
1. AWS KMS - Encryption at rest. This ensures data is stored encrypted in disk. We use AES 256.
2. ACM (AWS Certificate Manager): This Provisions and maintains certificates for TLS for encrypting data in motion.
3. Encryption of customer tokens of different private apps using Postgres pgcrypto module.
1. Azure Key Vault - Encryption at rest. This ensures data is stored encrypted in the disk. We use AES 256.
2. Azure Key Vault - This for encrypting data in motion. We provide two options to our customers for certificates. The customer can choose between Digicert/GlobalSign - managed by Azure (or) just provide their own certificate obtained from other Certificate authorities.
3. Encryption of customer tokens of different private apps using Postgres pgcrypto module
We host our application on proven public clouds. This means that as a Needl.ai customer, you will inherit the robust standards of cloud security maintained by our cloud partners. Currently, Needl.ai is hosted on AWS, and is compatible with Azure to host customer data - maintaining the highest and best security practices.
Public cloud data centers have multiple physical and environmental controls in place in their facilities to protect customer data from theft and loss. Our application is managed in such data centers to take advantage of their security features.
We have applied the best practices for its security architecture. API Gateway to our application provides a single point to filter attacks and secure authentication via AWS Cognito/Azure AD.
Our customer servers use a cloud-based distributed backup framework to reduce redundancy.
Our application is designed in a way that it can be hosted by various public cloud data centers across the globe and is not limited to AWS and Azure.
Needl.ai's customer data requires various levels of approval and authentication before it can be accessed.
Needl.ai regularly scans its front-end application and back-end infrastructure to check for known security threats and vulnerabilities.
Needl.ai stores the logs from its production and corporate environments in a central location. This is monitored and alerts are triggered if a possible security threat is detected.
The collected logs and all network activity are checked against commercial threat intelligence feeds for potential risks.
Any irregular or unusual activity is flagged and triggers an alarm. An example of this could be an unexpected authentication activity.
Needl.ai uses AES encryption to secure its locally stored data such as sensitive application data, database connection configurations and cached query data.
Needl.ai does not have access to user passwords. Usernames and passwords are secured using AWS Cognito or Azure AD(Active Directory) which are cloud-based user account control services.
Data in transit is encrypted and secured from the user's browser to the application via TLS 1.3. This is the latest version of the TLS protocol and is designed to facilitate data security and privacy for communications over the internet.
Needl.ai follows a standardized, documented SDLC process to develop its code. The process contains listed guidelines on code testing and review before it can be moved to the production phase. This ensures that all developers are on the same page and the quality of code is maintained.
Peer Review is a software quality assurance activity that helps maintain the level of consistency in the design of the software. Needl.ai reviews every written code before it is committed to the master code of the Needl.ai application. Functional and unit tests are performed using automated tools as part of the quality assurance process.
Software Developers have regular training on secure coding practices that Needl.ai implements.
The automated code quality tests that Needl.ai conducts specifically target areas such as injection flaws, input validation and CSRF token usage to ensure that no vulnerabilities are detected in the code.
Needl.ai performs regular third-party penetration tests also known as “Pen tests”, against the Needl.ai's application and its hosted environment. This test evaluates the system and identifies both, its strengths and weaknesses.
Needl.ai provides SAML-based single sign-on for users. This has significant advantages over using a username and password. It also offers support for SSO solutions from Google Apps, OneLogin, and SAML.
Needl.ai is connected with the security community at large and runs a responsible disclosure program to facilitate security vulnerability reporting.
All third-party service providers associated with Needl.ai go through an annual security review.
Needl.ai has established a dedicated information security function responsible for security and data compliance across the organization. This initiative is led by the Chief Security Officer (CSO).
The various security policies and procedures implemented at Needl.ai are strictly adhered to and the security culture and responsibility is communicated clearly to all its employees.
A background check is conducted before hiring an employee or signing with contractors.All individuals or vendors associated with Needl.ai are expected to sign confidentiality agreements.
All new hires have to complete mandatory security training as part of their initial induction and training with Needl.ai. Employees receive routine security awareness training to keep up with changes and updates. Measures are taken to confirm employee adherence to company security policies. Needl.ai's employees are constantly made aware of security best practices through informal and formal communications.
The Vendor Management Program run by Needl.ai ensures that all third parties associated with Needl.ai are compliant with an expected level of security controls.
Needl.ai maintains a strong Security Risk Management Program. The CSO of Needl.ai chairs the Security Steering Committee periodically.
Needl.ai has a Security and Operations team available 24/7 to respond immediately to security alerts and events.
In case of a security breach, Needl.ai maintains and adheres to the documented Incident Response Plan.
Training is provided to all Needl.ai employees on Security Incident Response Processes, including the correct communication channels to report or escalate any security incident.
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