Category: case study

Following the i2 User Group event we held on August 17 in Mexico City, I’d like to delve into the topic of cyber intelligence, its primary objective, and the benefits it offers to both private and public organizations.

The i2 User Group by Cybolt

The Cybolt i2 User Group aimed to share knowledge and experiences with attendees, including data analysts, investigators, police officers, experts in prevention, anti-money laundering (AML), fraud, and digital forensics. The main idea was to present use cases from sector experts and share updates and new features of i2 tools.

For those unfamiliar, the i2 platform is a technology that helps make the world a safer place. It aids in tracking threats and investigating physical, digital, and financial crimes through the analysis of structured data (such as database information and sensor-collected data) and geolocation systems. It also includes unstructured data and open-source information from social media, the web, and the deep web, including text, video, and more. This analysis can be performed on both internal and external organizational information, correlating these data sources.

The Power of i2 Tools

Thanks to the power of i2 tools, we can collect, analyze, and clearly visualize all this complex information. We can establish correlations, link information, identify behavior patterns and operating methods, connections between people or associations, and trends. This streamlines, facilitates, and strengthens investigation processes during significant events.

Cyber Intelligence and Cybolt

Cybolt is dedicated to helping organizations protect, mitigate, and neutralize risks. Our mission is to create spaces of trust, which means always staying a step ahead of cybercriminals. Achieving this is no easy task, considering the varied ecosystem of cybersecurity solutions within an organization.

Cyber intelligence adds an extra layer of protection, placing us in an advanced position. For this reason, Cybolt has established a business unit providing visibility to organizations to identify and manage risks and threats through complex information analysis.

Benefits of Cyber Intelligence

Our cyber intelligence experts assist companies in gathering, analyzing, and utilizing information to identify threats in cyberspace and strengthen their investigation processes. For a comprehensive and robust security strategy, having as much high-quality intelligence as possible is crucial for informed decision-making. This means understanding what we must defend against and what is happening in cyberspace, including current attack trends.

Cyber intelligence benefits both governments and businesses by:

• Facilitating threat detection in cyberspace.
• Contributing to organizational risk management.
• Supporting digital resource protection strategies.
• Improving incident response.
• Enhancing national digital security.
• Strengthening justice system operations.
• Protecting critical infrastructure.
• Providing intelligence for better decision-making.

With a cybersecurity strategy reinforced by cyber intelligence services, companies gain a clear view of known threats, enabling them to anticipate and respond effectively. While cybersecurity involves implementing practical solutions to prevent, detect, and mitigate attacks, cyber intelligence focuses on investigating potential threats and analyzing the cyberspace to anticipate attacks. When an attack materializes, it provides tools for forensic analysis and event investigation.

i2 Tools and Cybolt’s Commitment

i2 is one of the most powerful analysis tools, amplifying these objectives on a large scale. For relevant event investigations, we chose to work with i2 and achieved Gold Partner certification due to the high level of innovation it provides. We are one of the most prominent partners in Latin America with deep knowledge of this technology. Our commitment is to excel in everything we do, ensuring our clients that with Cybolt, they are in good hands.

Cybolt provides top-tier services with an ICREA Level III S-WCQA and ANSI TIA/942 Rated 3 certified Data Center for Design and Construction, located in a low-risk area. From our intelligent SOC, we offer cyber intelligence, threat monitoring, and cybersecurity risk management services.

SOC Services

In our SOC, a team of expert engineers, holding over 250 technical certifications, manages our clients’ security. Following ISO 27001 (information security), ISO 20000 (IT service management), and ISO 9000 (quality management) standards, we ensure the identification, protection, detection, response, and recovery from any organizational risk.

Our SOC services include:

• Collecting millions of data points from various sources.
• Inspecting data with AI tools.
• Incident analysis and response.
• Event correlation.
• Real-time notifications.
• Cyber threat remediation across assets such as network devices, endpoints, cloud computing, and applications.

Our highly specialized and certified professionals can guide you in applying an effective cyber intelligence strategy to strengthen your business asset protection. For consultancy, contact us at [email protected].

In the context of Cybersecurity Month, it is pertinent to address an innovative topic that has gained increasing importance in the current industry: artificial intelligence (AI). Its popularity has skyrocketed in recent years due to the release of tools that astonish the world, capable of generating code, music, images, text, video, and more, all with just a simple instruction.

One question that comes to mind is whether these developments are secure, as every technology offering benefits also presents opportunities for cyber attackers who explore new ways to achieve their goals. Therefore, the discussion on cybersecurity applied to artificial intelligence becomes crucial amidst the wave of innovation AI brings.

The Rise of AI and Its Vulnerabilities

AI is transforming the way we perform various tasks and has the potential to facilitate numerous aspects and sectors, including medical, business, and industrial sectors, among others. Many people are already using AI tools and even delegating critical tasks to them. However, despite the undeniable benefits of AI, it also comes with vulnerabilities.

Common AI Attack Methods

Various attack methods related to AI developments have been detected. Among the most common are data manipulation attacks, where attackers introduce malicious data into the system’s training phase to modify its learning and influence the results, creating unreliable and biased models with potentially malicious intentions.

Another method involves modifying or extracting input data, which can be imperceptible in machine learning models. For example, removing a few pixels from an image to prevent recognition. This type of attack, known as Adversarial Machine Learning, aims to make models fail and produce incorrect predictions or decisions.

A known and already alerted method is the Poisoning Attack, which attempts to corrupt the AI model by manipulating data during its training phase. This is known as a backdoor attack, as it requires close access to the development process. Such attacks are difficult to detect because they aim to perform specific malicious actions while appearing normal in functionality.

The Need for AI Cybersecurity

These examples illustrate why it is necessary to address cybersecurity in the context of artificial intelligence and the implications of a possible attack on its developments and tools. As AI becomes increasingly integrated into our lives and extends to critical tasks like autonomous vehicles, it is vital to consider the associated risks.

Another essential aspect requiring attention is privacy and data protection. It is crucial to be cautious in handling large amounts of information, as unauthorized use can have significant implications for organizations.

Measures to Enhance AI Cybersecurity

On a positive note, these attack methods are already considered in the NIST framework, which includes best practices for evaluating AI and machine learning models to prevent such attacks.

Despite cybersecurity challenges, measures can be taken to reduce risks in an organization. At Cybolt, we have experts who can advise you on securely using available tools or from the moment your organization considers AI development by implementing DevSecOps practices.

Our cybersecurity approach is based on the NIST framework, which has launched a project that includes AI security risks. This allows us to establish best practices such as model encryption, reinforcement of access control models, and implementing anomaly detection and management strategies for AI.

The convergence between cybersecurity and artificial intelligence is essential to ensure protection and reduce risks or prepare for an attack. Additionally, we must raise awareness about the conscious use of AI and consider its potential to violate data privacy rights.

We know this is a significant challenge, but we are convinced that together we can advance with safe AI developments.

Happy Cybersecurity Month, for more spaces of trust!

[1] Adversarial Machine Learning: An Introduction to Attacks on ML Models [2] Data Poisoning: A Threat to Machine Learning Models