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Cyber Security with Graph-based Approach: How and Why

 

With rapidly advancing technology comes a huge burden of securing the data systems in the company from the potential cybercrimes. Data, customer information, codes, company revenues, etc. can be accessed by cyber-criminals leading to the loss of millions of dollars in the company. In such cases, cyber security systems have to be stringent and troubleshoot any possible errors before occurring. Reaction quickly and efficiently against cyber attacks is crucial to prevent the loss of vital information and data at the hands of criminals. 

 

In this blog, we talk about how graphs can help in cyber attack analysis and identify potential attack vectors before causing any harm to the company’s data. 

How Does the Graph-Based Approach Work?

The graph-based approach in cyber security analysis can scan the patterns of adverse behavior associated with cyber threats such as phishing, data breach, firewall attack, IP spoofing, and more. 

  • A rigorous cyber security system can unravel these details and patterns in real-time and prevent the leakage of confidential information. 
  • A graph database can also trace back the error while someone tries to breach your firewall or steal a file. It can detect a specific IP address that tries to breach your cyber security within a few minutes. 
  • Graph features can also be used to train Artificial Intelligence (AI) to detect and differentiate between normal and abnormal system behavior patterns in real-time. 
  • Graph databases can analyze and calculate potential risks quickly and provide enough time for rectifying the threat or error. 
  • The graph-based approach must be paired with VPN connections to add multiple layers of security to the data system. VPN (Virtual Private Network) is the best way to protect your privacy online. It hides crucial information like your identity, location, monetary information, etc., from the hackers or anyone who tries to steal the valuable information.
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GRAPH-BASED APPROACH AND ITS IMPORTANCE

Graph-based analysis approaches have been on the rise as one of the most practical tools to evaluate extensive and discrete data sets of businesses, companies, finances, healthcare, and other domains. With cybercrimes on the rise and criminals finding novel ways to perform their crimes, companies must invest in protecting their datasets. Graph databases are ideal for detecting and preventing fraud or cyber-attacks, either from outside an organization or within. 

 

Graph databases are mostly preferred because they include:

  • Enormous data analysis – up to terabytes of data generated daily has to be analyzed, for threats and security
  • Multi-level data structure – data stored in various services, domains, subdomains, and other organizational hierarchies, need to be examined. 
  • Multiple data sources – data from log files, infrastructure, user info, and others have to be integrated systematically into the system without any trouble.
  • Rapid response time – whatever queries are submitted must receive rapid solutions within seconds. 
  • Deep-link graph analytics – the next advanced factor in machine learning helps analyze the graph patterns by providing explainable and potential results. 
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By collaborating with the SaaS security team, the graph-based approach for threat detection can be included for increased data security. Cybersecurity is daunting but crucial in domains like the government, banks, healthcare, education, transportation, smart gadgets, etc. Avantologies’s graph technologies offer fast screening, improved turnaround time, minimize false results, and provide high-quality information about the potential cybercrime. 

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How Can Data Monetization Help Prevent Fraud?

As digitization and internet technology continues to thrive in the world, companies and the workforce are collecting more data about their customers. Analyzing customer data is essential in the digitized market. The customer’s ID, contact number, email, etc., are collected as per data privacy rules and regulations. The customer information must be guarded securely, not to lose customer trust in the company or product. By creating economic value to the data, we can also increase the business value. In this section, we talk about data monetization benefits for the smooth running of the business. 

DATA MONETIZATION IN PUBLIC SECTORS

Data leaks in public domains like banks can put an individual to risk due to the scams. It is vital for health, finance, education, and other such sectors to secure their data. Banks contain large volumes of consumer data. If used effectively, it can generate new revenue streams and maintain customer loyalty for a long time. Data monetization in banks will require building deep connections with the customers in terms of privacy and other requirements from the start. These factors can be used as design principles in producing new products and services in the market. As per the data accumulated by Boston Consulting Group (BCG) in 2019, only about 10% of companies reported that they had met the data analysis targets set in 2016! And they still have a long way to go with their new set goals. 

The finance sector has gradually advanced towards electronic data storage making use of AI, machine learning, and data monetization to secure all the valuable data of the consumers. With the majority of payment gateways turning into online payments and UPI methods, it is crucial to gain customer trust with data privacy standards. Data science and monetization, along with fraud analytics, ensure real-time transactions within seconds. The data monetization in banks streamlines the entire business process and provides transparency to the customers regarding their data and critical decisions. 

FRAUD DETECTION AND PREVENTION

Successful data monetization requires cybersecurity in full swing. Both, data monetization and fraud analytics help prevent data leakage and loss of revenue. A third-party buyer will not prefer your data if it is not secure from unauthorized access. 

  • Data monetization serves data anonymity and can pinpoint the fraud activity on the servers. The unstructured data from the customers are most vulnerable to cybercrime. 
  • Data monetization helps in data optimization and identifies unusual activities and hidden patterns in the data when the fraud occurs. 
  • Data integration is another crucial factor. If your data is accurate, complete, consistent, and reliable, it can be stored for as long as you need it. The data from numerous sources must be integrated into a standard format and handled correctly by the internal users. Thorough data validation and error check ensure that the information is protected from malicious users.  
  • Ensure that your data monetization supports multiple formats like XML, Excel, SQL, Sybase, Oracle, etc. This way, the files can be protected on all platforms. 
  • As your business grows and data increases, make sure that the data monetization and fraud analysis also scales up. The chosen platform must withstand and map numerous data with advanced technology. 
  • Ensure your data is protected with proactive fraudulence detection that notices the potential areas for unusual activities before it occurs at any given time.
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The demand for data monetization is increasing day by day. Business owners want to ensure they maintain customer loyalty and attract more crowd traffic to their platform. With the benefits of data monetization and fraud analytics, one can explore numerous opportunities and potential growth in the business. Ensuring safe data also improves the relationship with their sponsors and partners. In today’s world, it is of utmost importance to use advanced technology to save and protect all your data from scams to ensure the smooth running of your services.

 

To make your data work for you, connect with Avantologie today. 

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Your Quick Guide To CISO-as-a-Service

Every thriving business needs a comprehensive and strategic cybersecurity plan. Most firms either engage a Chief Information Security Officer (CISO) to lead an internal security team or a CISO as a Service to manage security remotely to design and maintain this program’s security objectives.

 

While these are valid solutions, many businesses find that employing a CISO as a Service is more cost-effective than hiring a whole in-house security team.

Out of the research conducted on 7300 business companies, only around 25% admit that they are data literate and can handle the operations well. 17% of company employees still struggle to convince their team about the data science program and its importance in today’s world. Apart from the difficulties faced in some businesses, 94% of the crowd believe that data science and technology make their job easier and faster. If provided with proper opportunities, many employees agree to enhance their data skills in the companies. 

With the increasing data, we also have to manage them effectively. Company leaders and employees must be data literate to understand the technical communication and rectify the errors in the business. Having strong data skills helps to combat technical errors and plan a strategic solution for the business model. 

Who is a CISO?

In every organization, the Chief Information Security Officer (CISO) is a key figure. This is the person in charge of the design and implementation of the organization’s IT security and security strategy. The CISO is in charge of the company’s regulatory and operational compliance with industry-specific norms and regulations. But often, keeping a full-time experienced CISO on your payroll might be prohibitively expensive, especially for small and medium-sized businesses. This is where CISO as a Service comes into play. 



CISO-as-a-Service

CISO as a Service provides your company with a highly effective team of security professionals capable of identifying and preventing all types of cybersecurity threats. You not only save time and money by outsourcing CISO services, but you also ensure that your company is adequately protected from cybersecurity threats. Every organization’s information security matters and operations, such as security strategy design, assessment, execution, and risk mitigation, require the involvement of a CISO. Your company can no longer afford to live without CISO services, given the present rapid rate at which cyber threats evolve in terms of complexity and ubiquity.

CISO as a Service offers more than just cost savings. The CISO will always be accessible on-demand, will not incur training costs, and will provide the best KPIs and reporting as an expert in the industry. The cost of an outsourced CISO will be determined by your company’s and industry-specific considerations. 

CISO-as-a-Service can be used to:

  • Provide a cost-effective solution for your company to maintain information security systems and manage risk. 
  • Provide an extension to your company’s information security skills.
  • Maintain a constant security presence and guarantee that risks and incidents are minimized before they can result in unacceptably high economic losses.

Benefits of CISO-as-a-Service

  • Greater security knowledge, processes, and preparedness overall.
  • Ensure that all of your apps, as well as the entire network, are always safe.
  • Ascertain that your applications fulfill the necessary compliance standards.
  • Your company will benefit from a professional IT Risk manager’s abilities, knowledge, and expertise.
  • You hire a professional damage control team to help you mitigate the effects of a recent security breach.
  • Your company will be kept up to date on the most recent security trends and regulations.
  • The CISO will assist your company in meeting its KPIs (Key Performance Indicators) (KPIs)

Avantologie provides a cost-effective option for hiring a CISO in-house. Our CISO-as-a-Service provides you with a highly effective team of security professionals capable of identifying and preventing all types of cybersecurity threats.

 

We’ve established security and compliance solutions for both large and small businesses at Avantologie. Our entire team of diverse, experienced specialists, includes numerous senior-level professionals with years of experience developing and implementing robust security initiatives.

 

If you have any queries regarding CISO as a Service, please contact us. Avantologie is your go-to source for unique security solutions that are tailored to your needs. We offer CISO as a Service to companies that require a security professional to lead their team.

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The importance of Data Literacy for the C-Suite

As the world of business and technology is increasing and merging, the amount of data is also immense. Dealing with a vast amount of data can be frustrating if you do not understand how to deduce or analyze it. Data literacy in C-suite is the ability to read, understand, analyze, and communicate with data. Data literacy and analysis make it easier to share knowledge, make relevant decisions, and communicate effortlessly. Market intelligence is crucial to troubleshooting problems and increasing revenue. 



Out of the research conducted on 7300 business companies, only around 25% admit that they are data literate and can handle the operations well. 17% of company employees still struggle to convince their team about the data science program and its importance in today’s world. Apart from the difficulties faced in some businesses, 94% of the crowd believe that data science and technology make their job easier and faster. If provided with proper opportunities, many employees agree to enhance their data skills in the companies. 

 

With the increasing data, we also have to manage them effectively. Company leaders and employees must be data literate to understand the technical communication and rectify the errors in the business. Having strong data skills helps to combat technical errors and plan a strategic solution for the business model. 



DATA LITERACY IN THE C-SUITE

Not understanding the data can be the biggest barrier to the evolution of business. Only around 28% of C-suite executives believe that employees are comfortable with data stats. In any business or company, it is crucial to have leaders literate in data analysis to guide the rest of the team. Being tech data-savvy provides more credibility at the workplace. As a leader, one should motivate their team to take up the data literacy program to bridge the skill gaps. Achieving data literacy is:

  • the keystone to making data-driven conclusions
  • prerequisite to analyze and interact with the data meaningfully
  • the basis for effective data management 
  • assists companies make moral AI and data analytical decisions
  • helps build and improve the data literacy rate within an organization or company. 

HOW WOULD DATA LITERACY HELPS C-SUITE?

With the rapidly advancing technology, there is a lot of hype and curiosity increasing around Data Science, Artificial Intelligence, and Machine Learning. The team members need to be in the loop of these fields and relate them to their business models. Data literate individuals can identify opportunities and gain benefits from the available data and technology. C-suite leaders understand the importance and challenges of the data science cycle. It helps them work better towards their goals of analytics and ensure positive outcomes in the business. The main steps in the data science cycle include: 

  • Problem identification
  • Gathering relevant data of the problem
  • Identify crucial variables
  • Create or recreate and validate the business model
  • Install the model into the business process
  • Monitor results and keep updating them with newer and enhanced technology.

The data science cycle can be daunting. It can be achieved only with a clear focus and data literacy. Critically analyzing the problems and delivering appropriate solutions is no laymans’ work. Having a business model, advanced technology, appropriate data integration, is of utmost importance for a successful service.

Data literacy helps C-suite members make well-informed decisions regarding a product or service. They can do a quick SWOT (Strength, Weakness, Opportunities, and Threat) Analysis and agree on a common base for the betterment of the business or the company. Data literacy also ensures ethical use of the data and prevents legal entanglements. Such individuals are well aware of the consumer market and understand the valuable, operational data. Choosing accurate metrics and variables is important to determine the business failures and successes. Data science literacy instills confidence, willingness, understanding, and critical thinking in terms of the business and consumer point of view.