Monday afternoon. No sign of a problem.
A phone call from a supplier about suspicious emails seems like a minor anomaly. But by Tuesday morning, users were reporting broken files, slow computers and strange extensions. Meanwhile, in another department, someone is dealing with an urgent financial request that “came from management”.
At first glance, these are unrelated incidents. In reality, however, this is one coordinated attack that is gradually unfolding across the entire infrastructure. This fragmentation is one of the biggest problems in cybersecurity today – organisations see the individual symptoms but lack the ability to understand the whole.
The typical scenario does not start with anything dramatic. The attacker first exploits an unpatched vulnerability on a server or company laptop, then creates a stealthy access to the system and gradually moves on. What appears on the surface to be several unrelated events is actually one seamless process.
Why today it is not enough to see – it is necessary to understand
Modern security tools generate huge amounts of data. Endpoint solutions monitor device behaviour, identity management logs logging and audit logs record activity on systems. Yet organisations often react too late.
The reason is fundamental: most of these tools only provide an isolated view. EDR, for example, details what is happening on a particular device, but loses context the moment an attack moves elsewhere. Centralizing logs into a SIEM without advanced correlation and anomaly detection often produces only volumes of information without clear interpretation.
Question: So why is it that even a combination of firewall, EDR and SIEM often fails to prevent an incident?
The answer is relatively simple – attacks today do not take place in a single layer. They run in parallel across identities, email, cloud and network communications. If these signals are not connected, blindness results. Organizations may “see” something, but they don’t understand it in time.
Attack vectors as part of a story
When we look at the most common types of threats that companies are dealing with today, they may seem like separate disciplines – phishing, malware, ransomware or lateral movement. In reality, however, they form a logically connected chain.
Phishing is a typical entry point today, but an exploitable vulnerability in a server can be just as likely to be the start of an attack. This gives the attacker first access to the environment and immediately creates a backdoor – for example, by installing a remote communication tool.
Once inside, there is a subtle phase of escalation of permissions. In practice, this often doesn’t mean cracking a password, but exploiting an existing situation – for example, an inactive admin session. This allows an attacker to gain privileged access without any visible attack.
In the next phase comes the lateral movement. The attacker moves across the environment – from one server to another, from on-premises to the cloud. This is where the traditional endpoint protection approach fails. Once an attack crosses the device boundary, EDR loses its ability to provide context.
Malware often does not play a major role in this scenario, but serves as a supporting tool. In addition, modern variants run in memory or use legitimate system tools, making detection increasingly difficult.
The final phase then involves disabling security mechanisms – for example, disabling the local firewall, disabling antivirus. The whole chain then often ends with corporate data leakage, encryption of data storage, backups, virtual servers and financial extortion – the visible and destructive phase of the attack. From the organisation’s perspective, this is the “beginning of the problem”. In reality, however, it is the last chapter.
Context as the key to understanding the incident
The fundamental difference between traditional and modern approaches to security lies in working with context. Individual events do not make sense on their own. A suspicious login may be legitimate, a role change may be justified, and an unusual network communication may have a technical explanation.
It is only when we bring these events together that the real picture begins to emerge. This is where the User and Entity Behavior Analytics (UEBA) approach comes in, which builds behavioral models of users and devices and identifies deviations from the norm.
The result is not just the detection of individual anomalies, but the creation of a coherent incident that has a clear structure, priority and context. According to the available materials, this approach allows identities, endpoints, and the network to be analyzed simultaneously and evaluated in real time within the framework of Zero Trust principles.
The myth “we are not an interesting target”
One of the most common mistakes we encounter in practice is the belief that smaller or medium-sized companies are not attractive to attackers. This assumption may have been valid a decade ago. Today, it isn’t.
The attacks are largely automated. Attackers don’t target specific companies – they scan IP address ranges, look for vulnerabilities and exploit opportunities. Thus, an organization is not targeted because of its size or importance, but simply because it is accessible.
As practice shows, it is not about being “interesting”, but about being achievable.
From Detection to Managed Cyber Defence
Current developments show a shift from passive surveillance to active and managed security. It is not enough to detect threats – they must be understood, prioritised and ideally responded to in real time.
Question: What happens when an organization does not have this access?
The answer is very practical. The incident breaks down into dozens of sub-problems that are solved by different teams without a common context. The response is slow, uncoordinated and often comes only when the damage is already done.
How SecuRadar fits in
It is the ability to put isolated security events into an understandable context that is the key principle behind solutions like SecuRadar. It’s not just about collecting logs or generating alerts – the goal is to create a complete picture of a security incident from the individual signals.
In this respect, SecuRadar connects information about access, user behaviour, devices and communication. Through behavioural analysis (UEBA), it can detect that seemingly unrelated events – such as a network scan, a service creation on a server, an admin session, a new account creation and a change in domain policies – are actually part of a single attack.
The result is not overwhelming the IT team with a multitude of notifications, but clearly structured incidents with priority, context and recommendations for further action. This not only gives the organisation greater visibility, but more importantly the ability to respond in a timely and confident manner.
Conclusion
The modern attack is not a one-alert. It’s a story.
And if you can’t read it in context, you lose the ability to stop it in time.
This moves cybersecurity from a question of “what happened” to a much more important question:
“How do the events relate to each other – and what does that mean for the organization?”
