A Guide to Threat Intelligence for Businesses: Types, Cycle and Metrics // Articles
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A Guide to Threat Intelligence for Businesses: Types, Cycle and Metrics

Threat intelligence became a budget line before it became a practice. The Cost of a Data Breach 2025 report, from IBM and the Ponemon Institute, put the average cost of a data breach in Brazil at R$ 7.19 million — 6.5% above the R$ 6.75 million recorded in 2024. In the same study, adopting threat intelligence tops the list of factors that pulled that cost down: R$ 655,110 less per breach, on average.

The trouble is that “having threat intelligence” and “subscribing to a feed” have become synonyms in the market. They are different things, and the difference is exactly what separates a programme that changes decisions from one that produces PDFs.

This guide is for anyone who has to build, fix or justify a threat intelligence programme: what it is and what it is not, the four types, the six phases of the cycle, how it differs from SIEM and antivirus, the mistakes that hollow out the operation, how to measure the result, and what changes when you operate in Brazil.

What threat intelligence is

Cyber threat intelligence (CTI) is the process of turning raw data about adversaries into a product that answers a question asked by someone who decides, with a stated confidence assessment, inside the window in which the decision can still be made.

Note that the definition carries three requirements, and all three are testable:

  1. It answers a question somebody asked. Intelligence does not start with collection; it starts with the requirement.
  2. It arrives before the decision. Correct analysis delivered after the patch is applied is history, not intelligence.
  3. It changes something. A block, a remediation priority, a contract clause, an investment, a customer notification.

If you cannot point to the decision a deliverable changed, what you have is content — possibly good content, but not intelligence.

What threat intelligence is not

The four types of threat intelligence

Type Who consumes it Shelf life
Strategic Board, CISO Months to years
Operational SOC leadership, incident response Weeks to months
Tactical Detection and threat hunting Months to years
Technical Automation, blocking Hours to days

The boundary between “tactical” and “operational” is the most disputed line in the literature, and arguing about the label is wasted effort. What matters is knowing, for every product you generate, who consumes it and how long the data stays valid.

Strategic

Answers questions about investment and risk: what is our sector’s exposure to ransomware over the next twelve months? Does opening operations in that country change our threat profile? Should the security budget go to identity or to external attack surface?

Format: a short report, in business language, free of jargon. Quarterly or annual cadence. It is the only type that has to be readable by people who are not technical.

Operational

Answers “who, when and why”: campaigns under way, motivation, target sectors, seasonality. A Black Friday-themed phishing campaign aimed at Brazilian retail is operational intelligence.

Format: a campaign alert with context and a recommendation. Consumed within days or weeks.

Tactical

Describes the adversary’s tactics, techniques and procedures (TTPs) — how they get in, how they move, how they persist, how they exfiltrate. It is the raw input for the detection team and for threat hunting, and the natural place to map everything against MITRE ATT&CK.

It offers the best ratio of effort to durability: changing a technique is expensive for the adversary; changing a domain is not.

Technical

Indicators of compromise: IPs, file hashes, command-and-control domains, phishing URLs, certificates. Useful for automation and blocking, and it ages fast — sometimes within hours.

This is where the Pyramid of Pain, from David J. Bianco (2013), is worth remembering: at the base sit hashes, which the adversary swaps in seconds; at the top sit TTPs, which they change only with pain. A programme that consumes nothing but the base of the pyramid spends a lot and hurts very little.

The intelligence cycle: six phases

The cycle is inherited from intelligence doctrine — the U.S. Department of Defense’s Joint Publication 2-0 describes the same process in six steps. It works in cybersecurity for the same reason it works there: it forces you to start with the question and to finish with the critique.

1. Direction

This is where you write the PIRs (priority intelligence requirements) — the priority questions the programme exists to answer. It is the most frequently skipped phase, and the one that best explains failed programmes.

A bad PIR: “I want to know about ransomware.”

A usable PIR: “In the last 90 days, has any ransomware group actively exploited one of the five technologies exposed at our perimeter? Owner: vulnerability manager. Decision attached: priority for this month’s maintenance window.”

A PIR works if it has an owner, a deadline, a decision hanging on it, and can be answered with the sources you actually have.

2. Collection

External sources: OSINT, commercial and open feeds, closed forums and marketplaces, messaging channels, sector sharing communities, vendor reports.

Internal sources: your own logs, past incidents, fraud tickets, endpoint telemetry, phishing reported by employees. This is the single most relevant source for your environment, and the most ignored. Whoever has already attacked you is the best predictor of who will attack you next.

3. Processing

Normalization, deduplication, translation, enrichment and format standardization (STIX, MISP). Without this step the analyst becomes a data janitor and the programme does not scale.

4. Analysis

The one phase you cannot outsource. This is where somebody assesses relevance, correlates against the environment, forms hypotheses and states confidence. Use a standard scale — the Admiralty Code (source reliability from A to F, information credibility from 1 to 6) is the easiest to adopt and already removes much of the ambiguity.

Analysis without a stated confidence level forces the reader to guess whether you are right, and readers who guess stop reading.

5. Dissemination

The same finding becomes three different products depending on the audience: one page for the board, a detection rule for the SOC, a timeline for the response team. Sending the 40-page report to all three is the same as sending it to none of them.

6. Feedback

The phase almost nobody executes. Ask every consumer: did you use it? what did you decide? what was missing? what was superfluous? Without this the PIRs never improve, and the cycle becomes a straight line that ends in a dead archive.

Threat intelligence is not SIEM and is not antivirus

Layer Question it answers Where it fails on its own
Antivirus / EDR Is this malicious on this machine? Does not know who is attacking you, or why
SIEM / detection Did something anomalous happen in my logs? Only sees what is already inside
Threat intelligence Who is likely to attack me, with what, and what do I do first? Does not act; it needs the other two

The confusion is common because all three consume indicators. The difference is the vantage point: EDR looks inside the host, SIEM looks inside the network, CTI looks outside the organization.

And the relationship is one of feeding, not of replacement. The technical indicator flows down into the SIEM and the EDR. The TTP becomes a detection rule and a hunting hypothesis. Strategic analysis becomes budget. An intelligence programme with no exit path into the detection tooling is a reading programme.

Five mistakes that hollow out a CTI programme

1. Buying an IOC feed and calling it intelligence. Volume is not quality. Before signing up to any feed, ask: where does the indicator come from, what is the measured false positive rate, what is the average shelf life, does it cover Portuguese-language sources, and does it deliver in a format your stack ingests without manual work?

2. Collecting without a PIR. Collection without a requirement produces volume, and volume produces the feeling of work being done. It is the mistake that burns the most budget for the least effect.

3. Chasing attribution. A group name is interesting and almost never actionable. A TTP is actionable almost always.

4. Ignoring internal sources. Plenty of companies pay handsomely for external intelligence and have never read their own incident history.

5. Not closing the loop. A report nobody reads is pure cost. If the consumer is never asked, the producer never finds out they are missing the target.

How to tell whether the programme is working

There are two families of metric, and one of them lies to you.

Avoid production metrics: number of reports published, number of IOCs ingested, number of feeds subscribed. All of them go up when you work harder, and none of them go up when you get things right more often.

Prefer effect metrics:

Pick three to five, measure them quarterly, and publish them alongside what you were unable to measure. A metric without a caveat is internal marketing.

The Brazilian context: what changes here

Article 48 of the LGPD (Law 13,709/2018) — Brazil’s data protection statute — requires the controller to report any incident that may create relevant risk or harm to data subjects. ANPD Board Resolution No. 15/2024 nailed down the deadlines:

The practical consequence for intelligence is direct: finding out early has legal value, not just technical value. A credential leak identified through external monitoring before the attacker makes contact changes who controls the clock. And the notification required by Article 6, §2 asks for exactly what a mature programme already produces — the nature and category of the data affected, the risks, the possible impacts and the measures taken.

The financial sector has rules of its own

CMN Resolution No. 4,893/2021 requires a cybersecurity policy and an incident response and action plan from financial institutions and others authorized to operate by Brazil’s Central Bank. Payment institutions, brokerages and consortium administrators fall outside it and follow their own Central Bank rules — worth checking which one applies before designing the process.

The attack vectors measured here

Still from IBM’s 2025 figures for Brazil: phishing was the most common initial vector at 18% of breaches (average cost R$ 7.18 million); third-party compromise came in at 15% — and was the most expensive at R$ 8.98 million; vulnerability exploitation at 13% (R$ 7.61 million). By sector, healthcare led with R$ 11.43 million, followed by finance (R$ 8.92 million) and services (R$ 8.51 million).

Two of the top three vectors sit outside your perimeter: the brand used to deceive your customer, and the compromised supplier with access to your environment. Neither shows up in your SIEM before the damage is done. Both show up in external collection.

Language is a coverage barrier

International feeds are anglophone by default. A phishing kit written in Portuguese, a messaging channel selling a database of Brazilian tax IDs, an advertisement offering access to one specific Brazilian company: none of that arrives translated, and much of it never arrives at all. Portuguese-language coverage is not a regional preference — it is a collection requirement for anyone operating in Brazil.

A minimum programme in 90 days

A small programme that closes the loop delivers more than a large one that only collects.

Where the OODA Intelligence platform fits

The platform has 41 modules, and the useful way to look at them is through the phases of the cycle, not through the catalogue:

There is also a dedicated line of press collection and fact-checking — 76 registered press sources feed News Intelligence, and Disinfo Verify cross-references claims against an archive of fact-checks published by fact-checking organizations. It is the layer that answers reputational risk and disinformation aimed at the brand.

One honest caveat to close on: no tool writes your PIR or decides what is relevant to your business. A platform shortens collection, processing and dissemination, which is where the manual labour sits. Direction and analysis remain human work — and that is exactly why the cycle, and not the module catalogue, should organize your programme.

Sources

CTIOSINTmonitoringdark websecurity
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