Boolean Rules Simplified: A Guide for Security and Intel

The Fundamental Boolean Operators for Threat Intelligence

You’re an intelligence analyst and your team has just received an alert for a potential security breach. You need fast access to relevant data to generate threat intelligence and initiate a response, but your tooling is returning a sea of false positives that’ll take ages to navigate.

Whether working in the public or private sector, intelligence analysts need to support the generation of timely, comprehensive threat intelligence. This enables security teams and governments to make faster, more informed decisions in response to risk—and ultimately avoid or reduce damage to people, infrastructure, and other vulnerable assets.

But when it comes to gathering online data, analysts must filter a vast amount of information to find what’s relevant. When analysts are overwhelmed with false positives, they sacrifice the speed-to-information and context required to protect assets—not to mention wasting time and resources.

But there’s good news: as an analyst you can address these gaps by exercising your Boolean logic chops. 

In combination with the right data discovery tooling, these skills can go a long way to streamline your search results and support faster delivery of high-quality intelligence. As an intelligence analyst or OSINT investigator, how can you build stronger searches with Boolean rules?

How Do AND and OR Operators Shape Your Search Results?

Whether you’re using a standard search engine like Google or gathering OSINT through a sophisticated threat intelligence tool, Boolean rules are crucial for refining your search results. These rules incorporate three basic operators: AND, OR, and NOT:

These Boolean rules become even more powerful when combined with brackets (). For example, if you’re looking for content about theft in Victoria, BC, you might structure your Boolean string like this:

This allows you to find results that account for spelling variations or different word combinations that could be relevant to your search. Depending on the search tool you’re using, other operators may be supported and can help you further refine your Boolean strings. Here are a few commonly supported operators to practice:

Maximizing Boolean Rules for Your Investigation

Simply knowing how to apply Boolean rules isn’t enough. Like anything, it takes practice—and online Boolean guides aren’t always the best at providing analyst-specific support for security and intelligence use cases. Here are some tips to help you maximize your search strings and return more relevant results.

Keyword Research

Rather than using broad or generic search terms (e.g. “malware,” “human trafficking,” etc.), do some keyword reconnaissance to get more relevant results. Start by Googling the topic and researching news, intelligence briefings, and think tank articles. Make sure you understand the language and culture relevant to your target topic. Some factors to consider in your keyword selection:

• Are there any hashtags associated with this topic?
• Could the target keywords be relevant in other languages or vary depending on the region? For example, the language used by human traffickers will be very different in the US than in Africa.
• Are there key locations for a specific topic? Include relevant location names like airport hashtags and city names, or granular locations like neighborhoods and building names.
• Are there slang terms or spelling variations prevalent in the target content? For example, extremist groups might use racial slurs, coded language, or nicknames to target individuals or groups rather than common names.

Start Simple

Once the goal of your search is clear and you have a solid keyword list, start with short, simple Boolean strings. If this returns too much noise, add more operators, keywords, or parameters to narrow your search from there.

Use Results to Build your Keyword List and Guide Your Investigation

As you review your search results, keep your eye out for hashtags, terms, identifiers, and other keywords that can be validated to support your investigation. Search tools that provide analytics like top hashtags and word clouds are useful for finding this information. Also, take note of any data sources that are more relevant than others for your topic of interest.

Incorporate Additional Parameters

Search engines and paid search tools often include other parameters, such as the date published range or the data source type (e.g. deep vs. dark web). Combine these with your Boolean search strings when relevant to streamline results.

Reduce False Positives

If you’re seeing false positives with a common denominator, such as a common site URL, username, or irrelevant keyword, use the NOT (-) operator to eliminate it from your results.

Make Multilingual Searches Consistent Through Boolean Strings

For example, searching trafficking AND “торговля людьми” is ineffective because results are unlikely to include both equivalent English and Russian terms. If you are looking for results that could include multiple languages, ensure that your Boolean query reflects that (e.g. trafficking OR “торговля людьми”).

Finished intelligence reports are only as good as the raw data they are built from. Without the ability to quickly separate noise, your team could be missing out on critical context—or sacrificing speed-to-information in the laborious quest for relevant data.

This is why mastering Boolean rules—and combining those skills with robust data discovery tooling—is essential for intelligence analysts. Not only will you save time, but you’ll also generate higher-quality intelligence and support timely, more informed security decision-making.

Frequently Asked Questions (FAQs)

What is Boolean logic and how does Flashpoint Ignite use it to filter threats?

Boolean logic is a symbolic system that uses operators like AND, OR, and NOT to connect search terms. Flashpoint Ignite also uses this logic to help analysts filter through billions of data points across the surface, deep, and dark web. By applying these rules, users can create highly specific search queries that eliminate irrelevant “noise” and surface only the most critical intelligence for their mission.

Boolean Operator	Flashpoint Ignite Function
AND	Narrows results by requiring all search terms to be present.
OR	Broadens results by finding any of the specified keywords.
NOT	Filters out irrelevant data by excluding specific words from the search.

How can analysts reduce false positives through advanced search?

Reduce false positives by supporting advanced Boolean syntax, such as nesting and proximity operators. By using parentheses to group terms, analysts can build complex logic strings that target specific threat actor behaviors or unique digital footprints. This precision ensures that automated alerts in the Flashpoint Ignite platform are only triggered by high-fidelity matches, saving teams hours of manual triage.

• Nesting: Groups related terms together to ensure the search logic is followed correctly.
• Quotation Marks: Forces the tool to search for an exact phrase rather than individual words.
• Custom Alerting: Allows users to save complex Boolean rules to monitor for new threats 24/7.

Why is Flashpoint’s Boolean-based alerting vital for physical security?

Flashpoint’s Boolean-based alerting is vital for physical security because it allows teams to combine keywords with geographic data. A physical security team can use Boolean rules to monitor for specific threats—like “protest” OR “strike”—within a narrow geofenced area around a corporate facility. This ensures that leaders receive immediate situational awareness for events that directly impact their assets, while ignoring global events that are not relevant.

Physical Security Goal	Boolean Strategy Example
Executive Protection	“Executive Name” AND (“threat” OR “travel” OR “leaked”)
Facility Safety	“Building Name” AND (“fire” OR “shooter” OR “evacuation”)
Asset Protection	“Product Name” AND (“stolen” OR “warehouse” OR “hijack”)