Organizations are still overwhelmed by what they’re told, and sold as, ‘Threat Intelligence.’ In reality it falls short, as its really just threat/IOC data.
The term has been thrown around so often that its true meaning and value have been diluted. It’s time to set the record straight and restore the trust and respect that ‘Threat Intelligence’ deserves.
Threat Data: What It Really Is
Threat data is exactly that, data. It’s not analysis, interpretation, or actionable insight. That’s the role of threat intelligence.
Threat data typically includes internal telemetry and external sources providing indicators of compromise (IOCs), such as:
IP addresses linked to C2 activity, compromised hosts, or malicious mail servers
File hashes of malicious files (MD5, SHA-1, SHA-256)
Email addresses tied to phishing campaigns
Phone numbers used for vishing
URLs hosting phishing pages
Domains associated with compromised or malicious web applications
What’s common across all this data? A lack of context, attribution, enrichment, and most importantly, analysis. Without these, it remains just data. Threat intelligence delivers those missing elements.
As Dark Reading notes: “Cyber threat intelligence needs to include much more than raw data and information. It requires rich contextual knowledge that can only be created with the application of analysis, or it’s not really intelligence.”
That’s the point: without proper context and enrichment, indicators like malicious IPs or file hashes are just isolated fragments. They tell an analyst very little about why they matter, or whether they matter at all, when investigating an alert.
Threat Intelligence: What You Thought You Were Getting
Threat intelligence isn’t just raw threat data. It’s the process of transforming those feeds and internal telemetry into something meaningful, so when it reaches an analyst’s desk, they can investigate and respond quickly, accurately, and with confidence that they’re focused on the right priorities.
Gartner defines threat intelligence as: “Evidence-based knowledge, including context, mechanisms, indicators, implications, and actionable advice about an existing or emerging menace or hazard to assets that can be used to inform decisions regarding the subject's response to that menace or hazard.”
That definition dates back to 2013, so the concept has been around for years, but practical implementation and a true understanding of what it means have lagged.
In practice, real threat intelligence could look like:
Alerts from external threat feed data found in your environment, enriched with context and attribution (where possible) for better prioritization and faster, more accurate investigation and response.
Comprehensive context enrichment typically includes:
Source of threat data: Originating feed, vendor, or intelligence provider.
Threat category/type: Malware, phishing, ransomware, exploit, etc.
Assessed risk level: Severity, confidence score, or likelihood of impact.
Associated threat actor(s): Known or suspected groups, including aliases.
Targeted assets or sectors: Specific systems, industries, or geographies.
Attack methodology: Targeted vs. opportunistic (spray-and-pray), delivery vector (email, web, USB, etc.).
Threat actor capabilities: Technical sophistication, tooling, infrastructure, and known TTPs (tactics, techniques, and procedures).
Correlation with other activity: Links to past incidents, campaigns, or behavioral patterns across environments.
Temporal context: When the threat was first observed, peak activity periods, and lifecycle stage (emerging, active, dormant).
Geopolitical or strategic context: Motivations tied to political events, economic disruption, or espionage.
Indicators of behavior (IOBs): Behavioral patterns that persist even when IOCs change.
Detection and mitigation guidance: Recommended actions, YARA/Sigma rules, and playbook references.
Confidence and attribution scoring: How reliable the intelligence is and how strongly it’s tied to a known actor or campaign.
Here’s the critical distinction: threat data and threat intelligence are not the same. When engaging with vendors, keep this in mind. Start by fully assessing your organization’s needs and intelligence requirements, then consume and analyze data to meet those requirements.
Simply signing up for feeds and ingesting raw data won’t solve your intelligence problem, it will likely increase workloads, create confusion, and even put your organization at greater risk, as analysts chase low-priority alerts while real threats slip through.
The Problem with Threat Data: Stats Tell the Story
Threat intelligence is what we aim to produce and consume. It’s what most teams believe they’re getting when they invest in a threat intelligence feed, but in reality, many vendors just deliver more data, without context or enrichment.
Don’t get me wrong: threat data matters, but it’s not just plug and play. We’re drowning in it, and teams can’t keep up. Consider recent SOC sentiment:
59% of SOCs report struggling with too many alerts
55% of SOCs report dealing with too many false positives
And 46% would say that they spend more time maintaining tools than defending their organization, suggesting a disconnect between the intention of onboarding more tools and threat data and the reality of management on a daily basis.
This disconnect is inevitable if you aren’t selective and focused on the data you decide to consume. Organizations fear overlooking something important so usually default to adding as much data/threat feeds, or tools as possible, however I want to advise against this.
Threat Intelligence as a Business Enabler
Today, the mission of cybersecurity is clearer than ever: enable the business. To achieve this, companies must be able to withstand relentless attacks, typically through threat prevention or timely detection and response.
Although seeing and stopping threats across complex environments takes time, when 59% of SOCs struggle with alert volume, it’s a clear sign that the data behind those alerts isn’t delivering maximum value.
The shift from a data-fed approach to an intelligence-fed approach changes everything. Organizations that make this transition see:
Faster remediation times
More efficient use of resources
Greater visibility into real and relevant threats
Optimized security spending
Stronger alignment with business objectives
Putting Threat Intelligence into Practice
The real value of your threat data comes to fruition only when it is sorted, correlated, assessed and analyzed, turning it into actionable threat intelligence ready for use. This is why Fortra is such a powerful player in the threat intelligence space: our portfolio and expertise spans an impressive range of products, serving industries from healthcare to government to retail and more.
But for our data to become intelligence, it needs to be curated by experts and applied through technology. Our technology, known as Fortra Threat Brain, serves as a centralized location for analytics, AI models and lookups, turning data into insights.
Our Fortra Intelligence and Research Experts (FIRE) have a dual relationship with the Fortra Threat Brain. Data from the Threat Brain is consumed by FIRE so they can identify trends in technology and attacker behaviors, inspiring new research avenues and security content.
Threat data is contextualized and combined with original research to be returned as powerful analytics and insights that drive security decisions within Fortra's solutions and managed services.
Our solutions range from industry-leading red teaming to behavioral-driven advanced email protection to our AI-driven Fortra platform, and we continue to identify opportunities for innovation.
All that to say: we’ve got an industry advantage where incoming threat data is concerned, and we transform it into intelligence to directly improve our security capabilities and user experience.
Fortra Threat Intelligence infuses everything we do. Every tool, every solution, gets the upper-hand of a collective knowledge-share, every time. Built into our solutions are:
Tactical Threat Intelligence: TTPs and enriched IOCs for informed incident response.
Strategic Threat Intelligence: A 10,000-foot view of attacker motives, campaigns, and trends for orientation and broad context.
Operational Threat Intelligence: Real-time threat monitoring enriched with threat intelligence for improved accuracy.
Technical Threat Intelligence: A centralized source of knowledge on all IOCs and IOAs, including malware, C2 channels, and exploits compiled in a threat feed.
The term “threat intelligence” has become a buzzword, diluted by misuse as a synonym for IOCs or raw data, but adding more feeds won’t solve your problems or reduce risk.
Ultimately threat intelligence is a function, not a feed you can buy, and threat data is the input to the threat intelligence, not the end product. The best intelligence comes from careful curation of threat data applying context and prioritization, to create actionable insights that identify and prioritize security events and empower security decisions.
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