Red Teaming – Creating A Response To Attacks, Creating A Prevention Layer

Nilay, the CEO of Advanced Defence Systems, a defence products manufacturing firm prided himself on two things. The technologically advanced defence products they were manufacturing for Indian armed forces, and the cybersecurity measures they had in place to protect their own systems – firewalls, antivirus software, data protection, just to name a few. To ensure that they stay ahead of the curve, ADS had hired external consultants to conduct regular penetration tests to ensure they had data security.

 ADS’s products were gaining market share. Their continued success, however, brought its own challenges. When everything appeared hunky dory, Seema Singh, ADS’ CISO (Chief Information Security Officer) reported to Nilay a major data breach that compromised the database security, endpoint security and posed other cyber threats.

No alt text provided for this image

 Anyone could have been their adversary – venomous terrorists, malicious subversives, agenda-chasing political criminals, surreptitious state-backed foreign intelligence services, curious computer hackers, evil commercial competitors, dishonest insiders, disgruntled staff, trusted but careless business partners, or rogue administrators.

Nilay knew that he could not allow this to be repeated. In a review of their defensive posture with Seema, She suggested that it was time to go for Red teaming – a simulated cyber-attack, designed to test an organization’s security defenses to identify vulnerabilities that an attacker could exploit to gain unauthorized access to an organization’s systems or data. Nilay made up his mind and wanted to give it a try. Seema brought together a team of ethical hackers and other IT professionals.

The team proposed its plan. It involved the following important steps:

No alt text provided for this image
  1. Planning and Scoping: The first step in red teaming was to define the scope of the exercise and plan the attack. This involved identifying the assets that need to be protected and developing a strategy for the attack.
  2. Reconnaissance: They conducted reconnaissance to gather information about the organization’s systems and networks. This involved scanning for vulnerabilities and identifying potential targets.
  3. Weaponization: Once the reconnaissance was completed, the red team  developed the attack tools and techniques that will be used to exploit vulnerabilities in the organization’s defenses.
  4. Delivery: The red team delivered the attack. They used social engineering techniques to gain access to the organization’s systems or networks.
  5. Exploitation: The red team exploited vulnerabilities in the organization to gain access to sensitive data and systems.
  6. Post-Exploitation: Now the red team just had to maintain access to the organization’s systems and networks – installed backdoor and other malicious software.
  7. Reporting: The red team documented the results and provided a report to the management. It had recommendations for improving the organization’s security defenses.

 By simulating a real-world cyber-attack, ADS was able to identify weaknesses that could be exploited by real-world attackers. Technology is not static. It keeps on evolving. As defensive postures evolve, so do attacks and attackers.

 Nilay agreed with Seema’s suggestion to carry our red teaming regularly and stay ahead of the curve by maintaining effectiveness of ADS’ security defences and keeping them state of the art.

 How about you? Is your cyber defence up to date?

If you have queries related to 𝘾𝙮𝙗𝙚𝙧 𝙎𝙚𝙘𝙪𝙧𝙞𝙩𝙮, reach out to our in-house Cyber Security experts. They are happy to hear from you info@cmsitservices.com. You could also reach out to us on our website https://www.cmsitservices.com/contact-us/.

How Predictive analytics is useful in Digital Experience Monitoring (DEM)

By assisting companies in foreseeing and preventing problems before they have an influence on the end-user experience, predictive analytics plays a crucial role in digital experience monitoring (DEM).

Using predictive analytics, you can:

  1. Proactive Problem Detection: Predictive analytics can be used to spot possible problems with online services and applications before they have an effect on end users.
  2. Root Cause Analysis: The fundamental cause of problems affecting digital apps and services can be found using predictive analytics. Performance Optimization: Predictive analytics can be used to optimize the performance of digital applications and services.
  3. Personalization: Based on unique user behaviour and preferences, predictive analytics can be used to customise the user experience.

Predictive analytics may assist enterprises in enhancing the end-users digital experience by proactively recognising and resolving issues, pinpointing the source of difficulties, enhancing performance, and customising the user experience. DEM technologies provide IT teams with a variety of ways to communicate monitoring data, giving them the knowledge they need to boost user experience and increase digital performance.

Digital Experience Monitoring (DEM) entails watching how consumers engage with digital services and applications from beginning to end.

These popular technologies are helpful in DEM:

  1. AIOPS-based ITOPS tools: AIOPS (Artificial Intelligence for IT Operations) is a methodology that makes use of AI and machine learning algorithms to automate and optimise a variety of IT operations procedures. Organizations can improve service delivery, dependability, and availability by streamlining their IT operations with the use of AIOPS-based ITOPS technologies.
  2. RPA Tools: Software robots may automate routine, repetitive, and rule-based processes using RPA (Robotic Process Automation), a technology. Make sure that digital applications and services are operating at peak efficiency and delivering a flawless user experience, RPA can be used for Digital Experience Monitoring (DEM).
  3. Synthetic Monitoring Tools: To gauge performance and pinpoint problems with the digital experience, these tools imitate user interactions with digital services.
  4. Real User Monitoring (RUM) Tools: By tracking user engagement, performance, and behaviour, these tools track the actual user experience.
  5. Network Monitoring Tools: These tools keep track of network parameters including bandwidth, latency, and packet loss that support digital services.
  6. Log management tools: These programmes examine log files to find faults, security flaws, and performance issues that interfere with online activities.
  7. Application Performance Management (APM) Tools: These tools track the performance of applications and offer perceptions of the underlying causes of problems that affect the user’s digital experience.
  8. Cloud-based Monitoring Tools: These tools monitor the performance of cloud-based applications and services.
  9. Experience Management Platforms: By merging various data sources and analytical methods, these technologies offer a thorough approach to monitoring the digital experience.

For businesses that rely heavily on digital platforms to communicate with clients or do business, DEM is crucial. Organizations may raise revenue, decrease churn, and improve customer happiness by recognising and resolving issues that have an influence on the user experience. Organizations can proactively identify potential problems with DEM technologies before they negatively affect the user experience. For businesses who wish to offer their customers a seamless, high-quality digital experience, DEM is an essential step. Businesses can boost customer satisfaction, lower attrition, and boost revenue by employing DEM technologies to track, evaluate, and optimise the end-user experience.

If you have queries related to 𝘿𝙞𝙜𝙞𝙩𝙖𝙡 𝙀𝙭𝙥𝙚𝙧𝙞𝙚𝙣𝙘𝙚 𝙈𝙤𝙣𝙞𝙩𝙤𝙧𝙞𝙣𝙜, reach out to our in-house DEM experts. They are happy to hear from you on info@cmsitservices.com or https://www.cmsitservices.com/contact-us/.

Digital Experience Monitoring

Digital Experience Monitoring (DEM) to improve End-User Productivity

Digital Experience Monitoring (DEM) is a method that enables businesses to track and evaluate end-user experiences in real time. It gives IT teams the ability to find and fix problems end users could have with their digital experiences. This boosts workplace productivity.

We can utilize DEM to increase end-user productivity and below are a few use cases.

  1. Detect issues in real-time and troubleshoot them proactively before end users are impacted. DEM enables you to do both things. By doing this, you may avoid any potential downtime or productivity loss brought on by problems with the digital experience.
  2. Examine usage and performance patterns: DEM offers information on how end users are using digital resources, such as apps, networks, and devices. You can find any bottlenecks or inefficiencies that might be affecting production by analysing these trends.
  3. Compare performance to industry standards: DEM enables you to compare the digital user experience of your company to industry standards. By doing this, you may spot potential areas of weakness and make the required improvements to increase production. Monitor third-party applications and services: Many organizations rely on third-party applications and services to operate. DEM can monitor the performance of these applications and services and identify any issues that may be impacting end-user productivity.
  4. Improve the end-user experience: You can improve the end-user experience by using DEM. Because of this, customer happiness may rise, which in turn may raise productivity. You may build a setting that promotes productivity and efficiency by anticipating any problems and offering a seamless digital experience.

DEM is an effective technique for raising end-user productivity at work. Organizations can foster a productive and efficient work environment by proactively identifying and addressing digital experience issues, analysing performance and usage patterns, benchmarking against industry standards, monitoring third-party applications and services, and improving the end-user experience.

This article is a part of our 𝘿𝙞𝙜𝙞𝙩𝙖𝙡 𝙀𝙭𝙥𝙚𝙧𝙞𝙚𝙣𝙘𝙚 series. More to follow.

If you have queries related to 𝘿𝙞𝙜𝙞𝙩𝙖𝙡 𝙀𝙭𝙥𝙚𝙧𝙞𝙚𝙣𝙘𝙚 𝙈𝙤𝙣𝙞𝙩𝙤𝙧𝙞𝙣𝙜, reach out to our in-house DEM experts. They are happy to hear from you info@cmsitservices.com.

How Information Security & Cyber Security are cousins

“A ship is safe in harbor, but that’s not what ships are built for.”

—John A. Shedd

Cyber refers to the digital world and all things related to technology and the internet. This includes online communication, computers, networks, and the security of these systems from unauthorized access and harm. In short, cyber refers to the virtual world and ensuring its safety.

So, cybersecurity is the practice of protecting computer systems, networks, and internet-connected devices from digital attacks, theft, and damage. This involves implementing various technologies, processes, and practices to secure sensitive information and prevent unauthorized access, hacking, and other cyber threats. The goal of cybersecurity is to keep the internet and connected devices safe and secure for individuals, businesses, and governments.

Information security and cybersecurity are closely related but slightly different concepts. Information security refers to the protection of information and data from unauthorized access, use, disclosure, disruption, modification, or destruction. This encompasses a wide range of practices and technologies, including access control, encryption, firewalls, and backup and recovery systems.

Information Security = Cyber + Physical

In short, information security is a broad term that encompasses all aspects of protecting information, while cybersecurity specifically focuses on the protection of digital systems and networks.

To make information security solutions precisely effective, clients focus on use cases. In the context of cybersecurity, a use case is a specific scenario or situation that describes how a security event or incident should be detected, investigated, and/or responded to by an organization’s security operations team. A use case typically includes a set of rules, criteria, or thresholds that define what constitutes an abnormal or suspicious activity that requires further investigation or response.

Purple is commonly used in information security- purple from mixing red for offense and blue for defense. Purple Teaming is a collaborative process that combines the expertise and knowledge of both the “blue team” (defenders) and the “red team” (attackers) to improve an organization’s cybersecurity defenses. The objective of Purple Teaming is to identify and close gaps in an organization’s security posture, as well as to improve the effectiveness and efficiency of the overall security strategy. In a Purple Team engagement, the blue team provides the red team with access to its systems, tools, and processes, and then actively works with them to identify vulnerabilities, test defenses, and develop mitigation strategies. Through this collaboration, the blue team gains a better understanding of the organization’s vulnerabilities, and the red team learns how to improve its attack methodologies. The Purple Teaming approach helps organizations to prepare better for real-world attacks and to improve their security posture over time continuously.

If you have any thoughts or questions about your organisation’s security postures or initiatives, feel free to write to info@cmsitservices.com.

AIOps simplifies complex IT Environments

Complex IT Environments made easy with AIOps

Artificial Intelligence assisted IT Operations (or AIOps) is now the most pivotal technology intervention that is helping IT Services team to evaluate and identify the actual challenge in the IT estate that comprises of complex infrastructure and applications. The estate shares a volume of data that speaks a lot about the way the estate is behaving and how operations team can respond. The challenge is how to churn and analyse the data to enable the operations team.

With AIOps operations team can quickly identify the areas of concern and with faster turnaround can improve infrastructure response. AIOps helps monitoring and alerting the team for issues occurred, potential issues that may occur and by automating response to the issues. AIOps helps reduce the workload of monitoring team and allows them to focus on other critical tasks.

AIOps and Monitoring

When the IT estate is complex AIOps becomes crucial for monitoring the IT estates, as it is spread across multiple locations including cloud. The monitoring team needs to track logs, traces, and events.  The monitoring team must collect data and analyse data, to derive certain actionable. The AIOps platform does all the data collection, co-relation, analysis and combines related issues to trace the root cause and enables faster resolution. The key function of AIOps is to precisely identify problems before they occur and reduce the possibility of outage.

Areas that AIOps can deliver better success are

  1. 1. Data and its consistency: Systems generate volumes of data for monitoring and the data keeps increasing with time and addition of systems. The data need to be available for processing regularly and in a specific format for the AIOps platform to respond faster.
  2. 2. Design simplicity in complexity: The interconnections of the systems need to be designed in the simplest possible way. This helps alerts from varied systems, Applications, workloads, and other deployments to come in a proper way. The AIOps can respond better and faster to such well-designed environment.
  3. 3. Adoption to change: the adoption to changes that are due to governing policies, change in technology, migration to new systems (application and infrastructure) occur faster than ever before. The AIOps helps IT Operations team to adopt to the new platforms faster.
  4. 4. Cloud readiness: with the shift of investment to “As-a-Service” scenario, the cost optimization pushes the adoption of auto-scaling, in flight tuning, and can address higher volume of data.

With the overall complexity building up that increases the dependency on skills and systems, automation and AIOps plays a key role in helping overcome these challenges.

CMS IT Services enables deliver services with help of AIOps that enables customer derive benefits