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SOC Modernisation: A Digital Labrador for Next-Level Cybersecurity

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Written by Ammar Enaya, Regional Director – METNA, Vectra AI

The Arab Gulf region has a well-deserved reputation for being a frontrunner in technology adoption — a reputation that its governments have retained throughout the Fourth Industrial Revolution. In the digital transformation era, managed services wormed their way onto the agenda of most, if not every, regional organisations, but until recently — cybersecurity remained an afterthought.

However, governments in this region have a way of inspiring others by example. By adopting economic visions with technology pillars that put cybersecurity front and center, GCC leaders pushed digital risk management to a top-priority position in the private sector. And those efforts have paid dividends. Saudi Arabia is second and the UAE fifth, on the International Telecommunication Union’s Global Cybersecurity Index for 2020.

But there’s still work to be done. Security professionals are overworked and under-resourced. This starts in the security operations center (SOC), which all too often is holding on to a legacy that has had its day. Modern complexities of rogue devices, remote employees, and multi-cloud environments have brought previously unseen levels of unpredictability to the SOC. These transformative changes coupled with advanced attack methods used in today’s ransomware and supply chain attacks equal a disaster waiting to happen for any organisation that isn’t thinking about modernizing the traditional approach.

The Old Way Opens Doors for New Attacks
Traditionally, the legacy SOC is centered around prevention (think SIEM and IDS), which for the most part is obsolete against modern threats and attack methods. The tools typically deployed in this scenario equal a high cost of ownership and fail when it comes to the detection and response of in-progress attacks. This is because the technologies used today have grown past the SOC as we’ve come to know it. The perimeter no longer exists, and cloud deployments are outpacing security. Analysts are having to work harder to trawl manually through limited data sources only to arrive at inaccurate conclusions. Ultimately what you’re left with is a lack of visibility and a security team scrambling through inefficient workflows at a high price.

The time for change is now. We’ve seen again and again how prevention techniques fail to detect ransomware attacks. These are human driven attacks — where malware isn’t deployed until the final step — meaning the only chance to stop it, is by detecting and stopping attacker motions inside an environment. Nowadays, attackers are finding all types of clever ways to bypass MFA. And while endpoint detection is important, it’s no match for a crafty attacker with stolen credentials.

But the good news is that defending against today’s attacks doesn’t have to be as impossible as the headlines might lead you to believe.

Moving Towards a Modernized SOC
Before we look at the alternative, it is also worth considering the life of today’s security professionals. Who without, the SOC would be the equivalent of falling trees in an empty forest. While the customer experience was all the rage before the pandemic, organisations must now prioritize the employee experience. The now-established efficacy of remote work means the region’s cyber-talent can work anywhere they want. So, as the region builds SOCs, it needs to design ecosystems that relieve burdens on technologists, or it risks losing the most qualified candidates to foreign employers.

This is all the more reason to modernize and take a futureproof approach that prioritizes visibility and workflow, acting as a kind of digital Labrador retriever — capable of sniffing out and fetching the most evasive targets and dropping them at the feet of threat hunters. It still uses event logs and SIEM tactics but supplements them with richer endpoint and network data. It mixes the disciplines of endpoint detection and response (EDR), AI-driven network detection and response (NDR) and user and entity behavior analytics (UEBA). The new SOC drapes a net across on-prem, cloud and cloud-native apps, allowing it to detect previously unknown suspect processes and lateral-movement attacks.

And if you’re looking for a place to start, meaningful AI can lend an immediate hand in the SOC. Everything from improving alert accuracy, optimizing investigations, threat hunting and adding extra horsepower so analysts know which threats to prioritize, can be achieved with the right AI platform. AI can also help SOCs play to the strengths of its players. For example, AI is incredibly proficient at dealing with large sets of data efficiency and at speeds unmatched by humans. On the other hand, humans are exceptional at dealing with ambiguity and contextualizing information — things they’ll be able to do with AI on their team. An analyst can’t see an attack evolving in the middle of the night, but the right AI can catch and stop it so they can get some rest once in a while.

A Breath of Fresh Air in the SOC
Modernization is the future for any organisation intent on delivering an efficient, sustainable SOC. And while this is becoming an increasingly urgent matter for many organisations in order to defend against today’s attacks, it can also be approached in phases by setting achievable goals. For example, if you lack the visibility necessary to accurately detect and respond to an adversary, you may want to prioritize implementing a solution that can help spot early attack signals like recon, privilege escalation, and lateral movement. Or if your organisation has traditionally been focused on prevention, it could be time to evaluate where security investments need to be made in order to gain coverage throughout the entire environment.

In a region where regulatory compliance keeps a lot of stakeholders up at night, a modernized SOC can greatly enhance governance and instill confidence in regulators, investors, and customers. The ability to detect, score and prioritize threats in real-time ensures swift and effective resolution of issues and prevents costly and embarrassing breaches.

Fewer manhours, better outcomes, lower costs, faster resolution, tighter compliance, and the ability to go up against unknown and stealthy attacks? Now that’s a Labrador that deserves a treat.

Artificial Intelligence

How AI is Reinventing Cybersecurity for the Automotive Industry

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Written by Alain Penel, VP of Middle East, CIS & Turkey at Fortinet (more…)

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Cyber Security

Positive Technologies Study Reveals Successful Cyberattacks Nett 5X Profits

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Positive Technologies has released a study on the dark web market, analysing prices for illegal cybersecurity services and products, as well as the costs incurred by cybercriminals to carry out attacks. The most expensive type of malware is ransomware, with a median cost of $7,500. Zero-day exploits are particularly valuable, often being sold for millions of dollars. However, the net profit from a successful cyberattack can be five times the cost of organizing it.

Experts estimate that performing a popular phishing attack involving ransomware costs novice cybercriminals at least $20,000. First, hackers rent dedicated servers, subscribe to VPN services, and acquire other tools to build a secure and anonymous IT infrastructure to manage the attack. Attackers also need to acquire the source code of malicious software or subscribe to ready-to-use malware, as well as tools for infiltrating the victim’s system and evading detection by security measures. Moreover, cybercriminals can consult with seasoned experts, purchase access to targeted infrastructures and company data, and escalate privileges within a compromised system. Products and tools are readily available for purchase on the dark web, catering to beginners. The darknet also offers leaked malware along with detailed instructions, making it easier for novice cybercriminals to carry out attacks.

Malware is one of the primary tools in a hacker’s arsenal, with 53% of malware-related ads focused on sales. In 19% of all posts, infostealers designed to steal data are offered. Crypters and code obfuscation tools, used to help attackers hide malware from security tools, are featured in 17% of cases. Additionally, loaders are mentioned in 16% of ads. The median cost of these types of malware stands at $400, $70, and $500, respectively. The most expensive malware is ransomware: its median cost is $7,500, with some offers reaching up to $320,000. Ransomware is primarily distributed through affiliate programs, known as Ransomware-as-a-Service (RaaS), where participants in an attack typically receive 70–90% of the ransom. To become a partner, a criminal must make a contribution of 0.05 Bitcoin (approximately $5,000) and have a solid reputation on the dark web.

Another popular attack tool is exploits: 69% of exploit-related ads focus on sales, with zero-day vulnerability posts accounting for 32% of them. In 31% of cases, the cost of exploits exceeds $20,000 and can reach several million dollars. Access to corporate networks is relatively inexpensive, with 72% of such ads focused on sales, and 62% of them priced at under a thousand dollars. Among cybercriminal services, hacks are the most popular option, accounting for 49% of reports. For example, the price for compromising a personal email account starts at $100, while the cost for a corporate account begins at $200.

Dmitry Streltsov, Threat Analyst at Positive Technologies, says, “On dark web marketplaces, prices are typically determined in one of two ways: either sellers set a fixed price, or auctions are held. Auctions are often used for exclusive items, such as zero-day exploits. The platforms facilitating these deals also generate revenue, often through their own escrow services, which hold the buyer’s funds temporarily until the product or service is confirmed as delivered. On many platforms, these escrow services are managed by either administrators or trusted users with strong reputations. In return, they earn at least 4% of the transaction amount, with the forums setting the rates.”

Considering the cost of tools and services on the dark web, along with the median ransom amount, cybercriminals can achieve a net profit of $100,000–$130,000 from a successful attack—five times the cost of their preparation. For a company, such an incident can result not only in ransom costs but also in massive financial losses due to disrupted business processes. For example, in 2024, due to a ransomware attack, servers of CDK Global were down for two weeks. The company paid cybercriminals $25 million, while the financial losses of dealers due to system downtime exceeded $600 million.

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Expert Speak

What the Bybit Hack Reveals About the Future of Crypto Security

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Written by Oded Vanunu, Chief Technologist & Head of Product Vulnerability Research at Check Point (more…)

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