How SecureVisio Uses Threat Intelligence Incident and Vulnerabilities Management

Threat intelligence is only as valuable as an organization’s ability to act on it. Profiled, up-to-date IoC feeds provide effective protection against internet-borne cyber threats — but only when they are woven into detection logic, risk assessment, and automated response. This is where most organizations struggle: the intelligence exists, yet it sits disconnected from the systems that could use it.

SecureVisio approaches threat intelligence differently. Rather than treating IoC feeds as static blocklists, the platform uses them as a source of automation and orchestration across detection and response — measurably raising the cyber resilience of the organization. This article explains how that works in practice, based on real integration scenarios.

Bidirectional Integration with a Threat Intelligence Platform

SecureVisio’s threat intelligence capability includes a bidirectional integration between the SIEM/SOAR platform and a Threat Intelligence Platform (TIP), such as C3TI. This is not a one-way feed subscription — it is a continuous exchange that works in four steps:

1. Organization context flows out. Using its AutoDiscovery mechanism, SecureVisio passes information about the organization to the TIP: IP addresses, domains, keywords, and services in use.
2. The TIP profiles intelligence for that organization. The organizational context is used to tailor IoC feeds to the specific environment — its weaknesses, its incidents, its actual attack surface.
3. Profiled intelligence flows back. The TIP returns current, profiled IoC feeds, TTP elements such as relevant CVEs, and information about potential incidents and weaknesses affecting the organization.
4. SecureVisio operationalizes the intelligence. The platform uses this data to automate both the detection of and the response to potential cyber threats.

The result is threat intelligence that is relevant by design. Instead of processing millions of generic indicators, the organization receives feeds whose volume, freshness, and applicability match its real exposure.

From Blocklists to Context: Typical Integration Scenarios

Organizations in Poland and worldwide have developed well-established methods of integrating threat intelligence databases with security systems. These fall into recognizable maturity levels, and SecureVisio supports the full spectrum.

Network telemetry systems

The most common starting point covers network access control systems: next-generation firewalls (NGFW), web proxies, VPN gateways, and email security gateways. Here, a reference list is typically integrated into the security policy that blocks traffic — based on IP address, domain, URL request, or email address. Many of these systems can also subscribe to feed databases offered by the solution vendor.

Host telemetry systems

Endpoint protection and detection systems (EPP/EDR) analyze full endpoint telemetry, verifying elements such as process and file hashes or registry entries. When a match is found against a downloaded artifact or a pool of attributes constituting an indicator of compromise, the potentially dangerous process can be blocked or isolated.

Security management systems

SOAR and XDR platforms bring ready-to-use integration catalogs, extend the range of information channels (email, web), and support dedicated exchange protocols such as TAXII. Crucially, they enable conditional scenarios — playbooks — that turn intelligence matches into structured, repeatable response.

Advanced Integrations: Where SecureVisio Goes Further

Reference lists and hash matching are effective, but they treat every indicator equally. SecureVisio’s advanced integrations add what generic matching lacks: organizational context.

Threat intelligence inside correlation rules

In SecureVisio, IoC attributes can be combined directly within SIEM correlation rules and behavioral detection logic. Selection mechanisms define the precise conditions under which individual attributes are correlated, so intelligence participates in detection rather than merely annotating it. A concrete example is SecureVisio’s context engine operating at the correlation-rule level, working in combination with events that constitute Indicators of Attack (IoA).

UEBA: verifying credibility with behavioral context

SecureVisio’s User and Entity Behavior Analytics (UEBA), based on a context engine and machine learning (AI/ML), verifies the credibility of threat intelligence against the organization’s reality. The IRM engine assesses whether a given feed could actually be used in an attack on this specific organization — taking into account behavior profiles of users and assets, plus organizational information stored in the CMDB, such as the security controls in place.

A practical example: detecting an asset takeover by identifying, on the internet, a user’s login for an external application associated with a device that is unauthorized in that context.

IRM: from indicator to business risk

Incident Risk Management (IRM) evaluates the probability that a threat will materialize in the organization and its impact on the business processes running there. This transforms a raw indicator match into a risk statement leadership can act on.

Risk-Based Vulnerability Management (RBVM)

Threat intelligence also drives vulnerability prioritization. Based on CVE information contained in TTPs — or on directly submitted CVE lists that form components of a cyber threat — SecureVisio identifies which assets pose a real danger to the organization. Those assets can then be automatically and precisely isolated, with the isolation strategy matched to the attack tactic and to the specifics of how the organization operates, using Business Impact Analysis (BIA) algorithms.

This is the difference between patching everything and protecting what matters: intelligence tells you which vulnerabilities are being weaponized, and business context tells you where they hurt.

AutoTriage: Completing the Picture from Archived Logs

An indicator rarely arrives with its full story. SecureVisio’s AutoTriage process includes automatic search actions across archived logs, gathering all attributes that make up an IoC within a defined time window. This retrospective assembly extends the scope of automation and orchestration: once the comparison against feeds returns a result, the platform knows not just that something matched, but what surrounded it.

Automated Response: Isolation Adapted to Context

When a comparison against threat intelligence feeds returns a positive result, SecureVisio’s SOAR and XDR capabilities automate the response — and the response options are granular:

• Network isolation, executed on an agent or a network device, with configurable action, direction, and scope.
• Process isolation, performed by a built-in function, the built-in firewall, or an external firewall — including blocking or freezing a potentially dangerous process.

Each response is adapted to the operating context of the organization, so containment does not become its own outage.

Visualization: Seeing the Threat, Not Just the Alert

SecureVisio serves as an example of a SIEM/SOAR-class system in which a potential cyber threat originating from an IoC feed can be fully visualized. Analysts work from a single situational view that brings together the event summary, Indicators of Attack, MITRE ATT&CK mapping, risk assessment, and the underlying IoC.

Drill-down views take the investigation deeper: threat modeling shows the source and targets of activity alongside authorized transmissions; event detail views break down attribute analysis — lists, scope, types, and results; and attribute-linking views connect IoA and IoC data to specific hosts and users, enriched with UEBA context and MITRE ATT&CK techniques. Automation views show how individual event fields are linked — for example, by technique name — to assemble the complete IoC.

Frequently Asked Questions

What threat intelligence sources does SecureVisio integrate with? SecureVisio integrates bidirectionally with Threat Intelligence Platforms (TIP), exchanging organizational context for profiled IoC feeds, TTP elements such as CVEs, and information on potential incidents and weaknesses.

How does SecureVisio use IoC feeds in detection? IoC attributes are combined directly in correlation rules and behavioral (UEBA) detection, with a context engine defining the conditions under which attributes are correlated with Indicators of Attack.

Can SecureVisio automate response to threat intelligence matches? Yes. On a positive feed comparison, SecureVisio automates response through SOAR/XDR mechanisms — including network isolation, process blocking or freezing, and isolation via built-in or external firewalls — adapted to the organization’s context.

What makes profiled IoC feeds better than generic feeds? Profiled feeds are tailored to the organization’s actual attack surface — its IPs, domains, services, weaknesses, and incidents — which improves their volume, freshness, and practical usefulness.