Identity Solutions
Discover MAST’s Identity Solutions, a comprehensive approach to securing and managing identities with precision and efficiency.
Identity Solutions
Identity Solutions
MAST offer Value-driven Managed Services for the small and large IT landscapes. As per study, 70% of the IT budget get spent on managing existing IT infrastructure. MAST Managed Services are crafted to control spending, specialized in handling critical infrastructure and complex IT infrastructure which allows your IT team to focus on strategic initiatives that support your business. MAST Managed Services Team is built with domain experts covering 75-80% of the cutting age infrastructure technologies.
Identity Lifecycle Management (ILM)
A typical employee lifecycle gets hired, changes department or moves to a different location and resigns or perhaps asked to leave. When their roles evolve, so does their access to organizations information. This also holds good for external employees too – their logins, their user experience, their security is as important as the internal employee access.
Worry not; Identity Administration will eliminate these concerns by managing an end-to end Identity Lifecycle Management (ILM) for employees, contractors, suppliers and customers. This includes granting access – account requests, approval workflows, automated provisioning, self-service password resets & access termination; and revoking access when employee leaves, ensuring business data doesn’t go with them.
Thus, automating Identity Administration is extremely important to your business; ensuring timely and accurate access to your data.
Access Management & Federation
Wherever your employees are located; be it at the office or anywhere in the world, they need access to various applications through various devices to perform their tasks. Traditionally, they login to their applications using multiple username and passwords. Well, this can hamper their productivity, which will not only cost money (unhappy HR & Finance); perhaps users use weak passwords, maybe same password across all application, resulting in password exposure as they sometime write it down on post-it; thus, exposing risks; and majority of the time IT is unable to enforce best practices.
With Access Management coupled with multi-factor authentication you have secure access, and your employees have a seamless Single Sign-On (SSO) to any application (whether hosted on on-premise or on cloud) from any device.
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Privileged Access Management
Privileged Access Management (PAM) consists of the cybersecurity strategies and technologies for exerting control over the elevated (“privileged”) access and permissions for users, accounts, processes, and systems across an IT environment. By dialing in the appropriate level of privileged access controls, PAM helps organizations condense their organization’s attack surface, and prevent, or at least mitigate, the damage arising from external attacks as well as from insider malfeasance or negligence.
While privilege management encompasses many strategies, a central goal is the enforcement of least privilege, defined as the restriction of access rights and permissions for users, accounts, applications, systems, devices (such as IoT) and computing processes to the absolute minimum necessary to perform routine, authorized activities.
Identity Governance & Administration (IGA)
Identity governance is the policy-based centralized orchestration of user Identity Management and access control. Identity Governance helps support enterprise IT security and regulatory compliance.
Identity Governance enable organizations to define, enforce, review and audit Identity & Access Management (IAM) policy, but also map IAM functions to compliance requirements and in turn audit user access to support compliance reporting.
Identity Proofing
Know Your Customer (KYC) guidelines require organizations to digitally transform their citizen onboarding. Once enrolled, citizens can then use their identity to authenticate access to online services, eliminating passwords, legacy MFA and virtually all risk of identity impersonation, account takeover, and transaction fraud. The FIDO2 biometric authentication and storage of citizen information in a distributed ledger to W3C DID standards ensures the very highest level of privacy.
Password Less Authentication
Password-less Authentication is an authentication method that allows a user to gain access to an application or IT system without entering a password or answering security questions. Instead, the user provides some other form of evidence such as a biometrics, fingerprint, proximity badge, or hardware token code.
Multi-Factor Authentication (MFA)
MFA is an electronic authentication method in which a device user is granted access to a website or application only after successfully presenting two or more pieces of evidence to an authentication mechanism. MFA protects the user from an unknown person trying to access their data such as personal ID details or financial assets.
Risk Intelligence - SIEM, UEBA, SOAR
Security Information & Event Management (SIEM)
Security information and event management (SIEM) is a combination of log management, security information management and security event management providing a real-time analysis of security alerts.
The Log Management aggregates data from many sources, including network, security, servers, databases, applications, providing the ability to consolidate monitored data to help avoid missing crucial events.
The Correlation looks for common attributes, and links events together into meaningful bundles. This technology provides the ability to perform a variety of correlation techniques to integrate different sources, in order to turn data into useful information. The Alerting is the automated analysis of correlated events which compliments overall.
The tool can take event data and turn it into informational charts “dashboards” to assist in seeing patterns or identifying activity that is not forming a standard pattern.
On the other hand, applications can be employed to automate the gathering of compliance data, producing reports that adapt to existing security, governance and auditing processes.
Whilst employing long term storage of historical data to facilitate correlation of data over time, and to provide the retention necessary for compliance requirements. Long term log data retention is critical in forensic investigations as it is unlikely that discovery of a network breach will be at the time of the breach occurring.
Finally, the Forensic Analysis provides ability to search across logs on different nodes and time periods based on specific criteria. This mitigates having to aggregate log information in your head or having to search through thousands and thousands of logs.
User Entity Behavior Analytics (UEBA)
Nowadays, many attacks are specifically built to evade traditional signature-based defenses, such as file hash matching and malicious domain lists. They use low and slow tactics, such as dormant or time triggered malware, to infiltrate their targets.
User Entity Behavior Analytics (UEBA) leverages sophisticated machine learning (ML) and behavior analytics to analyze and correlate interactions between users, systems, applications, IP addresses, and data. UEBA detects advanced insider threats, cyber threats, fraud, cloud data compromise, and non-compliance.
Security Orchestration Automation and Response (SOAR)
As cyberattacks increases, there are a shortage of skilled security personnel to secure businesses and keep the attackers at bay. Moreover, rapid response are essential to mitigate the risks of cybersecurity threats, but disparate security tools are cumbersome for security teams to manage, costing time and effort.
Therefore, an effective Security Orchestration Automation and Response (SOAR) tool helps security operations teams improve their incident response times by providing automation that adds context and suggesting playbooks and next steps to guide analysts.
Network Detection and Response (NDR)
Customers nowadays struggle to detect the sophisticated slow and low attacks which require monitoring a blend of network traffic activity, user actions, and system behavior patterns. Stand alone network traffic analysis tools can monitor traffic and detect network traffic anomalies, however, such anomalies without user and system context are less actionable and just add to the noise.