Unknown threat detection

Modern threats increasingly take the form of simple, loud attacks that are easy to detect with signatures less and less often. More and more frequently, they are long-term, distributed activities deliberately designed to “blend into” normal network traffic. In this model, traditional security tools based mainly on known patterns and static rules prove insufficient.

Sycope addresses this problem by shifting the focus from recognizing known threats to behavioral analysis and contextual correlation, enabling detection of attacks that do not yet have signatures.

Behavioral analysis instead of signatures

The foundation of unknown threat detection in Sycope is identifying deviations from normal network and asset behavior. Instead of asking whether a given packet matches a known signature, the system analyzes whether the observed behavior deviates from what is typical for a given environment.

This makes it possible to detect, among others:

• lateral movement between segments that previously did not communicate with each other,

• “low-and-slow” attacks where traffic volume is low but its nature is suspicious,

• gradual, hard-to-notice attempts at privilege escalation or infrastructure reconnaissance.

As a result, Sycope sees not only “what happened,” but above all “whether it makes sense in the context of that environment.”

MITRE ATT&CK-based rules

Behavioral analysis is complemented by a rule engine based on the MITRE ATT&CK framework, which maps observed behaviors to real tactics and techniques used by attackers.

Sycope provides more than 70 built-in rules that:

• are not abstract but relate to concrete attack scenarios,

• allow network traffic to be linked to stages of the kill chain,

• help analysts interpret events in the context of real threats rather than only “anomalies.”

As a result, an alert is not an isolated signal but information embedded in a recognized threat model.

Correlation and context in real time

One of the biggest weaknesses of classic detection systems is generating alerts without context. Sycope solves this problem by correlating data from multiple sources in real time.

Each detected deviation can be automatically enriched with information such as:

• IP address reputation,

• geolocation of source and destination,

• device type and its role in the infrastructure,

• previous behavior of a given host or segment.

As a result, analysts do not need to manually assemble the situation from multiple tools — they receive an alert that already contains the context needed to make a decision.

Threat hunting supported by scenarios

Sycope is not limited to detection and alert generation but also supports active threat hunting processes. Ready-made dashboards and scenario-based workflows guide analysts through successive stages of threat hunting and incident verification.

In practice, this means:

• faster transition from suspicion to confirmation or exclusion of a threat,

• reduced dependence on the individual experience of single analysts,

• a more repeatable and measurable response process.

As a result, threat hunting ceases to be the domain of a narrow group of experts and becomes a scalable element of security operations.

Business value

What individual roles gain

What the organization gains

From the company perspective, detecting unknown threats using Sycope means:

• lower risk of long-lasting, undetected compromises,

• faster identification of incidents with high business impact,

• reduction of financial and reputational losses,

• greater operational maturity in cybersecurity,

• better readiness for audits and regulatory requirements related to threat detection and response.