SOC 2.0: a digital “hunting dog” for next -generation cybersecurity

SOC 2.0: a digital “hunting dog” for next -generation cybersecurity

France enjoyed a well-deserved reputation as a pioneer in the adoption of new technologies, an honor that did not fail throughout the fourth industrial revolution. In the era of digital transformation, automated services have become on the agenda of most, if not all, businesses in the region, but so far cybersecurity has clearly not been.

The French government is offering an inspiring example by strengthening its “Cybersecurity” acceleration strategy, thanks to the implementation of its “France Relance” plan and the Future Investments Program.

However, much more needs to be done. Security professionals are overwhelmed and lack resources. This is particularly the case with Security Operations Centers (SOCs), most of which still rely on outdated infrastructure. The new complexities posed by modern devices, remote workers and multiple cloud environments make the operations of legacy SOCs more unpredictable than ever before. These changes, combined with the advanced techniques used by ransomware and supply chain attacks, represent a real sword of Damocles for companies that are slow to modernize.

Heritage infrastructures, gates to advanced attacks

Let’s be clear: SOC 1.0, which is typically centered on the old method of detection (solutions based on the aggregation of large volumes of Log and signature detection systems, for example), cannot do anything against existing threats. These devices have a high overall cost of ownership for limited performance, fail to detect ongoing attacks, and prioritize prevention over robustness. In addition, because the technologies currently in use are not compatible with older SOCs, analysts must work hard to manually extract data from a limited number of sources. All of this only leads to inaccurate results, lack of visibility, and security teams being forced to struggle with poor and expensive workflows.

It’s time to change. We’ve seen this many times: prevention methods have failed to detect ransomware attacks. Because these attacks require human intervention (no malware is spread before the final stage), only identifying and neutralizing the actions of cybercriminals within the attacked environment can prevent them. . In addition, cybercriminals currently have multiple ways to bypass multi-factor authentication. Even if endpoint threat analysis is important, it cannot be done against a fraudulent cybercriminal using stolen login credentials.

The good news is that it is less difficult to protect yourself from these attacks.

Modernize SOCs

Before we come to the solution to the problem, let’s take a moment to look at the lives of security professionals. While the customer experience was the top priority before the pandemic, companies need to focus on the experience of their employees. The proven effectiveness of remote work allows cyber talents to work from wherever they want and when designing a new SOC, the company must envision an ecosystem that facilitates work. in technical profiles. Otherwise, there is a risk of losing the most qualified candidates in other organizations.

All the more reason to do modernization work based on an evolutionary approach that prioritizes visibility and workflow. This method can be compared to a digital “police dog”, which is able to look at drugs or explosives in any context without error and report it to the threat tracking specialist. Detection is automated and SIEM’s role is to assist in the investigation. Automation is the main consequence of Artificial Intelligence. Two major components are used at this level, EDR (for identifying workstations and servers) and NDR (Network Detection and Response). The latter provides a complete look at all the component elements of the infrastructure and creates a global view, especially in the IT and IoT environments. The new SOC, which we might call SOC 2.0, puts a virtual surveillance net of all properties in the physical and cloud environment. This new SOC approach makes it possible to focus on the methodology (practice) of the attacker rather than using a specific attack (signature). It is possible to detect attacks that are not yet detected by conventional tools.

The first step is to equip your SOC with artificial intelligence. With the right AI platform, you can improve alert accuracy, optimize threat investigation and hunting, and improve performance. Your analysts will be able to identify threat priorities. Artificial intelligence is particularly good at processing large volumes of data quickly and efficiently, while human intervention is needed to manage ambiguities and contextualize information. That is, artificial intelligence can help SOCs take full advantage of the expertise of analysts. For example, AI can detect and block a midnight attack, allowing for more peaceful handling of this type of event.

Have peace of mind

Analysts ultimately have the AI ​​and machine learning capabilities they need to detect risky behavior, while other AI tools automate most of the front-end workflow of legacies. of SOC. So modernized SOC is a kind of out-of-the-box cybersentinel, capable of self-improvement through machine learning. This significantly reduces the incidence of false positives, as well as the overhead of processing security alerts.

To have a high-performance and sustainable security operations center, companies have no choice but to modernize it. Threat investigations are best if supported by robust and accurate analysis, performed by intelligent systems and reviewed by trained professionals, who simply need to compile a list of suspects who are most clean.

In a region where regulatory compliance is a dream for many stakeholders, these SOCs can optimize governance and provide confidence to regulators, investors and customers. The ability to identify, classify and anticipate threats in real time ensures quick and effective problem resolution, and avoids costly and embarrassing compromises.

Reduced working hours, improved results, reduced costs, faster resolution times, increased compliance and the ability to resist unknown and covert attacks: this “police dog” there is everything.

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