Tal Dilian Discusses Cyber Security and Data Protection

Tal Dilian explains security analytics tools

Tal Dilian is a cyber intelligence expert who oversees cyber threats like data breaches. He examines probable intelligence threats that can affect computer security systems and pose devastating issues.

Today’s era of advanced technology has opened a leeway through which criminals and terrorists hide more than before. Adopting a proactive approach to protect communities from online threats is essential, says Tal Dilian.

Database security threats

Tal Dilian analyzes technical data to find effective ways of protecting against cyber threats posed by     malware and hackers. According to him, many misconfigurations, misuse patterns, and system vulnerabilities cause breaches in database infrastructures.

Thus, individuals and organizations should be aware of the security threats to leverage themselves against hackers and malware viruses. It is important that organizations and individuals understand the security threats in order to better protect themselves.

For successful security operations, the process of analyzing and understanding large sets of data must be combined with insights from law enforcement agencies. It is imperative to involve law enforcement and law enforcement analytics. Intelligence agencies should also be considered as key players in the process.

Tal Dilian – Defining security analytics

A practical approach to cyber security, security analytics involves collecting data for analysis to identify online security threats. Security analytics provides solutions by incorporating diverse and large data sets in their detection algorithm.

Monitoring the network can identify threats to system infrastructures before they occur. Security professionals deploy threat detection to identify and keenly investigate potential vulnerabilities like malicious and external malware.

It is easy to spot threats before they infiltrate network systems that can compromise a company’s valuable assets and data.

Key benefits of security systems according to Tal Dilian

There are several ways to protect a security system.

Getting improvised forensics capabilities

Analytics solutions are valuable for identifying forensic insights on where an attack originated. Security analytics analyze resources affected, data loss, and how an attack occurred to improve defense systems.

Monitoring activities within a network

Cyber-attacks on servers happen inside a network mainly when the attackers have proximity to the mainframe. Analytical tools allow for thorough checks immediately.

Go-ahead security detection incident and response

Security analytics scrutinizes data from diverse sources, integrated with various activities to detect threat incidences in real-time. It analyzes log data and uses other sources to pinpoint any correlation between events.

Comply with set regulations and laid standards

Security analytics tools help in compliance with government and industry regulations. Regulations like log collection, activity monitoring, and security analysis are essential for unifying all data types across devices. With this information, compliance managers can closely monitor regulated data and spot future non-compliance.

Tal Dilian’s use cases for security analytics and threat detection

There are numerous use cases of security analytics that can be utilized to help in the detection of threats and the enhancement of data visibility of the respective network traffic.

The everyday use cases include:

  • Finding and taking action against insider threats
  • Monitor the activities of the employees in the workplace
  • Analyzing the behavior of users to identify probable suspicious patterns
  • Investigating possible threats and incidents
  • Assuring thorough compliance with the auditing process during the auditing process
  • Analyzing the network traffic to oversee trends showing potential attacks
  • Identifying shared accounts that may be compromised

Tal Dilain explains that security analytics aims to turn raw data from diverse sources into insights that require an immediate response through alerts. Using security analytics, we can turn raw data from various sources into insights that require a quick response so that action can be taken at the earliest possible time. In the case of large volumes of data, security analytics tools can complement the filters that must be implemented. This, to ensure that the information is used in a way that addresses cyber threats in the most effective way.

Tal Dilian Explains Why do many LEAs rely on cyber security systems

In most countries, LEAs rely on cyber security systems for threat detection and to keep critical assets. Categories of data well protected by cyber security include governmental information systems, personal information, intellectual property, and vital industry infrastructures.

Cybercriminals can target and infiltrate an organization without a solid cyber security program, posing residual and inherent risks. In the absence of a solid cyber security program, cyber criminals can target and infiltrate the organization, posing residual and inherent concerns.

The growing dangers result from more web connectivity and cloud services being used to store personal information and sensitive data. Extensive poor configuration of cloud systems conjoined with sophisticated cybercriminals scales up the success of data breaches.

Organizations of any size and of any type are susceptible to a data breach. Data breaches can occur at any level of an organization. Therefore, cyber security awareness and education are essential.

When the threat and weakness of an organization have been thoroughly analyzed, understanding social engineering scams, ransomware, and phishing attacks will be easier. In addition, the understanding will help organizations devise convectional cyber security measures to protect networks and computer systems


Risk professionals can help develop and implement fundamental data analysis and evaluation process strategies. Security analytics tools enable professionals to spot, analyze and respond swiftly to cyber security threats. Practical data analysis can help make better decisions and pursue criminals.

The views expressed in this article are those of the authors and do not necessarily reflect the views or policies of The World Financial Review.