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Forensic Data Analysis & Services

Smart Data Forensics. Implementable Intelligence Secure, relevant data creates an unlimited amount of company value.

CYBER-SECURITY

Make Data Forensics Your Biggest Asset. Detecting Fraudulent Activity. Unlock Continuous Business Improvement.

Mitigating risks, handling crises, accelerating growth strategies, optimising emerging business opportunities, and competing effectively are high-time demands for creating valuable business insights alongside increase the effectiveness of operational processes from available data sources. Even though data experts provide an abundance of domain knowledge, agility, and responsiveness, they struggle to achieve consistency, repeatability, and scalability across data sources. An agile, resilient forensic data analysis is critical to today’s business aftereffect while generating measurable economic benefits.

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60% of organisations planned to invest in digital forensics strengthening compliance and integrity frameworks
BFSI is the Forensics Data Analysis vertical with the quickest growth rate
Advance cloud technologies raise the need for forensics data analysis in North America
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Forensics Data Analysis with CWDT: Enable Data-empowered Intelligent Forensic Investigation

Handling complicated data is time-consuming and resource-intensive. Assist firms in analysing huge amounts of data to identify high-risk financial linkages and activities, execute assessments promptly, and implement processes to decrease risks and enhance internal controls proactively.

CWDT forensic data analysis service focuses on revealing fraudulent activity patterns inside data while maintaining data integrity. Our advisory services offer a comprehensive approach based on each vertical’s specifics along with extensive operational expertise to identify new business markets and better growth opportunities. We enable organisations to extend additional business advantages such as predicting potential misconduct or fraudulent behaviour, advancing business transparency, and boosting operational efficiency. Protect current databases and persistent data with powerful security software, preserve volatile data and digital evidence or footprints, and recover lost data from PCs, storage systems, mobile devices, and more. professionals reverse engineering methods legal entities technical steps.

Advantages of Employing Data Forensics in Your: Preventing Information Theft and Much More

Preventing Hackers and Malware

The study of forensic data aids companies in developing measures to prevent hackers from gaining access to a network or device. Understanding patterns of how hackers steal or abuse structured data, companies may safeguard pertinent data and check networks, or devices to guarantee that outside parties cannot access it.

Identifying Vulnerabilities

Exploiting vulnerabilities is generally simpler. Techniques for forensic data analysis provide valuable information regarding vulnerabilities in infrastructure, applications, and websites. On the basis of this knowledge, security specialists strive to patch these weak spots.

Recovery of Deleted Information

For a severe data breach or identity theft, it is essential to restore erased data. Complex tools and techniques are used in forensic data analysis to retrieve information and present it in court or in situations where data recovery is essential.

Monitor Trends

Forensic data analysis provides a comprehensive review of trends based on historical and current data, enabling organisations to identify improvement areas/scope. With this information, forensic specialists may concentrate on weak spots within the company while analysing whether possibly fraudulent conduct is happening.

Assess and Improve Internal Controls

Using forensic data analysis, firms may assess the effectiveness of their internal controls by reviewing financial transactions. Using aberrant data patterns, possible vulnerabilities may be identified, allowing firms to bolster internal controls and proactively limit fraud risks.

Revise and Strengthen Policy

The outputs of forensic data analysis may be used to perceive, construct, or revise policies. These outcomes assist organisations in identifying specific areas in which employees require additional training and knowledge.

Enhanced Productivity and Efficiency

Internal audits and investigations use forensic data analysis to analyse enormous amounts of data. This enables forensic investigators to perform more difficult tests utilising technology that also eliminates human mistakes. Forensic data analysis helps firms to investigate larger transactional data at a time than data sampling solely. It helps decrease sampling mistakes and enhances the likelihood of accurately finding abnormalities.

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Forensic Data Analysis
CDWT
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Mapping Forensic Data Analysis

Step 1: Procedure and policy development

Cybersecurity professionals recognise the importance of the data and are aware that it might be compromised if not managed properly. Thus, it's necessary to design protocols that may indicate how to set up mechanisms for recovering evidence, where to keep the obtained evidence and when to permit forensic investigators to extract potential evidence, and how to record the procedures.

Step 2: Evidence Evaluation

In the second step, an examination of possible evidence of cybercrime is done. This data forensics or forensic analysis review involves classifying the relevant cybercrime, such as one involving social engineering, phishing, or identity theft, among others. Before submitting data as evidence, the investigator must confirm the data's authenticity and origin.

Step 3: Acquiring the Evidences

This step involves developing a comprehensive, rigorous strategy for acquiring evidence. All information must be recorded, kept, and documented prior to, during, and after the collecting of evidence. In the absence of evidence, forensic data analysis is ineffective; hence, this stage requires the application of regulations that preserve the integrity of prospective evidence.

Step 4: Examining the Evidences

To assess prospective evidence, there are procedures for obtaining, duplicating, and storing evidence in a suitable database. It encompasses a variety of strategies and methods for analysing data, such as recovering recently deleted files/media or utilising analysis tools to search for data archives containing specific file types.

Step 5: Documenting and Reporting

Here, forensic analysis or data forensics investigators maintain a record of all strategies utilised throughout the investigation, such as ways for validating the system's functionality and copying, retrieving, and storing data. Reporting and documentation illustrate how user integrity was preserved and how third parties' compliance was guaranteed.

CDWT Full-scale Forensics: Services for Data Analysis and Data Management

Using data forensics and forensic analysis, one may gain a competitive edge, enhance operational efficiency, and innovate.

Utilize design-driven data and analysis consulting services to create well-informed judgments while fostering scalability and unmatched continuity.

Data consulting services like Data Maturity Assessment, Data Strategy Blueprinting and Roadmap, TCO optimization for Data Analysis & AI Adoption, and Industry-specific data consulting services are available.

Eliminate Traditional Data Warehouse methods and procedures, data silos, system inefficiencies, restricted data analysis, security and compliance concerns, and more.

Adopt SAP, on-premise data to Data Lake migrations, and Traditional Data warehouse to on-cloud data migrations.

Obtain ongoing assistance and management for data pipelines after the development and configuration of Data-related use cases, such as Infrastructure, Application (ETL and transformation code), and the Database.

Obtain managed services driven by AIOps, operational tuning and automations, data platform security management, as well as support resolution and a specified SLA for managed analysis.

Concentrate on the practical applications of data gathering, processing, and analysis to develop insights and resolve important use cases for immediate effect. Utilize several services, such as data discovery and ingestion, data lakes, data warehouses, visualisation, reporting, and dashboards.

Using AI, ML, and Deep Learning Capabilities, integrate smart, in-depth analysis throughout business processes.

Using cutting-edge intelligence analysis, modernise and enhance corporate strategy, service delivery, operations, customer management, supply chain management, and monitoring.

Secure static and dynamic dataflows and monitor, analyse, and safeguard databases, data centres, and dataflows across the IT stack.

Utilize comprehensive threat hunting, remediation capabilities, and sophisticated threat intelligence with intelligent cybersecurity solutions.

Implement a rigorous data governance structure and guarantee compliance with local, national, and international legislation and standards.

Obtain completely managed database capabilities in the cloud, easily integrated with many ecosystems. Using AIOps-powered services, provide a strong architecture based on business requirements and completely controlled data functionality.

Identify any possible dangers or weaknesses, implement remedial steps, and fortify the system.

Utilize security-native technologies for cloud platforms and third-party apps to fight anticipated and unanticipated cyberattacks.

Implement sophisticated business intelligence across data pools, data lakes, and databases in order to create insightful operational insights.

Integrate cloud-native tools and technologies to allow real-time processing of data and development of insights.

Bring predictive ability and in-depth analysis to your organisation in order to maintain a competitive advantage in data processing, visualisation, and presentation.

Utilize data insights derived from a single source of truth, such as Data Lakes, Data Warehouses that provide visualisation dashboards, and the capacity to analyse data on the go.

Utilizing real-time monitoring and visual investigation, dashboards that are user-friendly and interactive enable intelligent decision-making.

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Forensic Data Analysis
CDWT
Deploy capability for comprehensive data analysis and forensics. Contact our Cybersecurity Experts immediately.
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Why Avail CDWT Forensic

Data Analysis or Services for Data Forensics?

Detailed domain-specific evaluation, consultation, and assistance to combine cutting-edge analytical methods with data modelling and designing.

Data Archiving in accordance with industry standards for automated, effective data profiling and cleaning.

Ensure a universal data architecture by streamlining data collection, processing, and analysis from diverse sources and IT ecosystems.

Utilize Big Data solutions to discover processes, techniques, and systems that are resource- and cost-intensive. Reduce total business costs by eliminating inefficiencies and boosting productivity.

End-to-end data intake and administration across all cloud environments. Implement cloud-native data analysis and enhanced automation to improve core business operations and results.

Gain real-time insight into all company operations, systems, processes, workflows, apps, and performance through analytical dashboards and intelligent reporting.

Real-time monitoring and management of infrastructure health to avoid unforeseen outages and catastrophes.

Defined data engineering, data modernisation, data operations project management, and tool interfaces using adaptable ETL tools and services.

Effortless AI and data governance - compliance with local, national, and industry standards, and the use of the most recent techniques.

To install powerful forensic data analysis services, seamlessly address all infrastructure-networks and platform. Utilize pre-built models and libraries to deploy AI on-premises, in remote ecosystems, and at the edge of the network.

With 360-degree data analysis and forensics, you can achieve uncompromised security, continuous continuity, and unstoppable development.

Why Should Your Organization Partner with CDWT for Cybersecurity Transformation?

The biggest application-centric managed service provider in the world, providing specialised Managed Security Services and AI-driven advanced Managed Detection and Response Services.

12+ years of experience, 4000 transformation tales in 26 countries, and 25+ Centers of Excellence.

80000 EPS, 13000 HBSS, 3200 UTMs, 7 Reg-tech Frameworks, and more than 40 Security Controls.

Plus over two thousand cloud specialists with industry-leading certifications, including Hyperscaler Security, Hyperscaler Platform, CISSP, OSCP, CEH, CHFI, and Comp TIA Security.

Integration of intelligent automation-powered, proprietary cybersecurity products, such as the CDWT Self-Healing Operations Platform.

Expertise in compliance management assuring severe, flawless governance and adherence to local, national, and international legislation.

Advanced threat detection, proactive threat hunting, and best-in-class tools and procedures.

24/7 automated threat management and response.

Comprehensive Threat Investigation and Verification using cutting-edge Threat Intelligence powered by industry-leading platforms such as Microsoft, OSINT, STIX&TAXI, etc. and CDWT Threat experts.

Cloud-native security with multi-cloud compatibility for the most popular cloud platforms, including AWS, Azure, GCP, Oracle, and IBM Cloud.

Expertise in building and administering comprehensive SIEM on AWS Cloud - assisting organisations in proactively assessing vulnerabilities and automating and accelerating incident response on AWS Cloud.

Forensic Data Analysis – FAQ’s

What is forensic data analysis or forensic data science?
Forensic data analysis is the use of regulated and recorded analytic and examination processes for identifying, inspecting, and conserving digital data.
What advantages does Forensic Data Analysis or Data Forensics offer?
Forensic Data Analysis has the following advantages:

* Improving business risk evaluation

* Increasing fraud detection via improved training and awareness

* Enhancing the identification of fraud and risk in massive data sets

* More adaptable and sensitive to fraud investigation
What distinguishes Forensic Data Analysis from Digital Forensics?
Digital forensics encompasses a number of forensic services designed to discover fraudulent activity on digital systems and storage devices. It consists of forensic data analysis, computer forensics, and other forensic services pertaining to communications systems. It examines "unstructured data" from computer programmes, networked communications, and mobile devices.

Data extracted from physical devices such as hard discs, memory sticks, and CDs are the subject of forensic data analysis. It checks the format of'structured data' on a storage medium configured for a certain operating system.