In cybersecurity, speed has always been a critical factor. By 2025, it has become essential.
Security teams today operate in an environment where indicators of compromise, alerts, and threat signals are growing at a rate impossible to keep up with manually. The problem is no longer a lack of information. It is increasingly an excess—and the difficulty in extracting useful context from that volume.
It is in this imbalance that one of the main challenges of modern threat intelligence lies.
A case study in aviation: when time is no longer enough.
A recent case study in the aviation sector helps to illustrate this reality.
A global airline faced a common scenario: multiple sources of information, a high volume of indicators, and essentially manual processes for validation and prioritization. The analysis consumed hours, and decisions often arrived outside the window of operational relevance.
With the introduction of automation mechanisms and threat intelligence contextualization, this time has been reduced from hours to minutes. More than just an efficiency gain, this represents a structural change: the ability to make decisions within the time frame of a threat.
In security, it’s not enough to know faster. You need to decide in time.
The problem isn’t a lack of data — it’s a lack of context.
This pattern is not isolated. On the contrary, it reflects a structural challenge.
Increased investment in information sources does not always translate into greater responsiveness. In many cases, it amplifies the noise. Teams are exposed to increasing volumes of data, but without effective mechanisms to distinguish what is truly relevant.
The result is a growing misalignment between visibility and decision-making. We know more, but we make worse decisions—or decisions that are made too late.
What is changing in threat intelligence?
More mature organizations are evolving their operational model, not only in terms of tools, but especially in how they handle information.
Automation is no longer just about efficiency gains; it’s becoming essential for reducing analysis time. At the same time, data enrichment allows for contextualizing indicators—linking them to assets, real exposure, and potential business impact.
This evolution also implies a more direct integration with operational flows, bringing threat intelligence into the SOC and response processes, instead of keeping it as an isolated function.
It is in this context that platforms like Anomali gain relevance, by enabling the consolidation, correlation, and operationalization of threat information in real time. homeostase recently announced its partnership with this manufacturer in Portugal, precisely to support organizations in this transition to more effective and decision-oriented models.
From visibility to decision.
It is important to emphasize that this is not just a technological issue.
The difference between organizations lies not only in the tools they use, but in how they manage to transform data into consistent, rapid, and auditable decisions. Without this capability, even advanced solutions tend to increase operational complexity.
With it, threat intelligence ceases to be a repository of information and begins to function as a true decision support system.
What does this mean for Portuguese organizations?
For many organizations in Portugal, this challenge is already a reality, even if it is not always formalized.
The increasing sophistication of threats, coupled with resource scarcity and regulatory pressure, makes it difficult to sustain models based on manual analysis. As the volume of data continues to grow, the ability to make decisions quickly and consistently becomes a differentiating factor.
It is in this context that Homeostasis, as a partner of Anomali in Portugal, supports organizations in structuring and maturing their threat intelligence capabilities — from consolidating sources to integrating them with security operations.
More than just increasing visibility, the goal is clear: to reduce the time between signal and decision.
