Security begins on day one here. All employees receive security, privacy, and compliance training the moment they start. Though the extent of involvement may vary by role, security is everybody's responsibility at Talentcloud.ai.
This commitment to security extends to our executives. The Talentcloud.ai Security Council, a cross-functional group of executives spanning the enterprise, shapes our security programs, drives executive alignment across our organization, and ensures that security awareness and initiatives permeate throughout our organisation.
Our customers serve as the data controller while Talentcloud.ai is the data processor. This means that you have full control of the data entered into services, as well as all setup and configurations. Because you control your data—and we only process it—you won't have to rely on us to perform day-to-day tasks such as:
Assigning security authorization and manipulating roles
Creating new reports and worklets
Configuring business process flows, alerts, rules, and more
Creating new integrations with Talentcloud.ai utilities or incumbent tooling
Changing or creating new organisational structures
Monitoring all business transactions
Looking at all historical data and configuration changes
Talentcloud.ai encrypts every attribute of customer data before it's persisted in a database. This is a fundamental design characteristic of the Talentcloud.ai technology. Because Talentcloud.ai is an in-memory, object-oriented application instead of a disk-based RDBMS, we can achieve the highest level of encryption. We use the Advanced Encryption Standard (AES) algorithm with a key size of 256 bits and a unique encryption key for each customer.
Transport Layer Security (TLS) protects user access via the internet, helping to secure network traffic from passive eavesdropping, active tampering, or message forgery. File-based integrations can be encrypted via PGP or a public/private key pair generated by Talentcloud.ai, using a customer-generated certificate. WS-Security is also supported for web services integrations to the Talentcloud.ai API.
Talentcloud.ai security access is role-based, supporting LDAP Delegated Authentication, SAML for single sign-on, and x509 certificate authentication for both user and web services integrations.
Single Sign-On Support
SAML allows for a seamless, single-sign-on experience between the customer's internal web portal and Talentcloud.ai. Customers log in to their company's internal web portal using their enterprise username and password and are then presented with a link to Talentcloud.ai, which automatically gives customers access without having to log in again. Talentcloud.ai also supports OpenID Connect.
Talentcloud.ai Native Login
For customers who wish to use our native login, Talentcloud.ai only stores our Talentcloud.ai password in the form of a secure hash as opposed to the password itself. Unsuccessful login attempts are logged as well as successful login/logout activity for audit purposes. Inactive user sessions are automatically timed out after a specified time, which is customer configurable by user.
Customer configurable password rules include length, complexity, expiration, and forgotten password challenge questions.
We recommend that customers use multifactor authentication (MFA). Talentcloud.ai allows customers to bring in their own MFA provider that is backed by the TOTP (time-based one-time passcode) algorithm. With this setup, customers can easily integrate MFA providers with the native Talentcloud.ai login. Talentcloud.ai also allows end users of customers to receive a one-time passcode delivered via an email-to-SMS gateway mechanism. Lastly, Talentcloud.ai supports challenge questions as an additional mechanism to prove a user's identity.
If someone leaves their console open or multiple users access Talentcloud.ai from the same device, organisations that use SAML as an authentication type can secure against unauthorized access by identifying critical items within Talentcloud.ai. This allows customers to force a secondary authentication factor that users must enter to access those items.
Talentcloud.ai applications are hosted in state-of-the-art data centers designed to protect mission-critical computer systems with fully redundant subsystems and compartmentalized security zones. Our data centers adhere to the strictest physical security measures including, but not limited to, the following:
Multiple layers of authentication for server area access
Two-factor biometric authentication for critical areas
Camera surveillance systems at key internal and external entry points
24/7 monitoring by security personnel
All physical access to the data centers is highly restricted and stringently regulated.
Talentcloud.ai has established detailed operating policies, procedures, and processes designed to help manage the overall quality and integrity of the Talentcloud.ai environment. We've also implemented proactive security procedures, such as perimeter defense and network intrusion prevention systems (IPSs).
Network IPSs monitor critical network segments for atypical network patterns in the customer environment as well as traffic between tiers and service. We also maintain a global Security Operations Center 24/7/365.
Talentcloud.ai has implemented an enterprise Secure Software Development Life Cycle (SDLC) to help ensure the continued security of Talentcloud.ai applications.
This program includes an in-depth security risk assessment and review of Talentcloud.ai features. In addition, both static and dynamic source code analyses are performed to help integrate enterprise security into the development lifecycle. The development process is further enhanced by application security training for developers and penetration testing of the application.
Talentcloud.ai contracts with third-party expert firms to conduct independent internal and external network, system, and application vulnerability assessments.
We contract with a leading third-party security firm to perform an application-level security vulnerability assessment of our web and mobile application prior to each major release. The firm performs testing procedures to identify standard and advanced web application security vulnerabilities, including, but not limited to, the following:
Security weaknesses associated with Flash, Flex, AJAX, and ActionScript
Cross-site request forgery (CSRF)
Improper input handling (such as cross-site scripting, SQL injection, XML injection, and cross-site flashing)
XML and SOAP attacks
Data validation flaws and data model constraint inconsistencies
Insufficient authentication or authorization
HTTP response splitting
Misuse of SSL/TLS
Use of unsafe HTTP methods
Misuse of cryptography
External vulnerability assessments scan all internet-facing assets, including firewalls, routers, and web servers for potential weaknesses that could allow unauthorized access to the network. In addition, an authenticated internal vulnerability network and system assessment is performed to identify potential weaknesses and inconsistencies with general system security policies.