Threat Intelligence Feeds Security Marketers Should Monitor

What feeds contain and why that matters for content

Threat intelligence feeds are automated streams of real-time data on cyber threats: bad IP addresses, file hashes, attack patterns, and indicators of compromise. That's the whole idea. Machines watching the internet's back alleys so someone doesn't have to do it by hand.

The content inside a feed usually breaks into three buckets. Indicators of Compromise are the forensic stuff, suspicious programs, weird processes, network traffic that shouldn't exist. Indicators of Attack cover the how, the actual techniques and intent behind an attempted break-in. Then there's threat actor information pulled from the clear web, the dark web, and yes, plenty of shady Telegram channels, all describing how attackers operate and what they're after.

Feeds get built the way you'd guess: honeypots catching malware in the act, OSINT scraping, dark web monitoring, security vendors pooling data, researchers sharing findings. That raw material gets cleaned up, cross-checked, enriched with context, and shipped out through standard formats like STIX and TAXII, or through a vendor's own API.

Intelligence comes in four levels. Strategic, tactical, operational, technical. Strategic intelligence, the big-picture "here's where the threat landscape is heading" material, made up 33.60% of market revenue in 2025. Operational intelligence, the campaign-and-tactics layer, is growing fastest, at a 16.35% compound annual rate through 2031. That split matters because it tells you where the audience's attention already sits. Practitioners aren't just hunting IOCs. They're hungry for the operational story around them.

The threat landscape data that should be informing security content right now

Any security writer working right now needs to know what's in CrowdStrike's 2026 Global Threat Report. It's the single most cited piece of primary research in the current cycle, and skipping it is the fastest way to sound out of date on page one.

Start with the number that reframes everything: average eCrime breakout time, the time from initial compromise to lateral movement, dropped to 29 minutes in 2025. The fastest breakout CrowdStrike observed clocked in at 27 seconds. Read that twice. Twenty-seven seconds is barely enough time to finish a sip of coffee, let alone respond to an alert.

AI-enabled attacker operations jumped 89% year over year, showing up across reconnaissance, credential theft, and evasion. Attackers are automating the boring parts of hacking the same way marketers automate email sequences, except the stakes are a little higher than an open rate.

And then the pattern that ties this whole section to the next one: a significant share of vulnerabilities exploited in the wild are hit before defenders have a chance to act on public disclosure. That reality is why the CISA KEV catalog, covered next, is a must-have reference. It grounds writing about what's already happened rather than theoretical risk.

CISA KEV and Abuse.ch: the two free feeds with the highest signal-to-noise ratio

The CISA Known Exploited Vulnerabilities Catalog isn't a typical IOC feed, and it doesn't try to be. CISA describes it as the authoritative source for vulnerabilities confirmed to be exploited in the wild. Federal agencies operate under binding directives tied to it. Every single line in that catalog represents something that actually happened.

It's published in CSV and JSON, machine-readable, no gatekeeping. Every time CISA adds a new entry, that's a content trigger. A new KEV listing means attackers picked a priority, not that a vendor's product marketing calendar picked one for them. That distinction is the whole credibility game right there.

The catalog does have a lane, and it stays in it. It only covers exploited vulnerabilities, nothing on malware families, phishing kits, or actor behavior. Stack it with something else.

That's where Abuse.ch comes in, less a single feed than a small constellation of specialized ones. URLhaus tracks URLs actively distributing malware. ThreatFox hands out IOCs tied to specific malware families. MalwareBazaar catalogs malware samples with metadata attached. Feodo Tracker maps botnet command-and-control infrastructure. Put together, KEV tells you what's being exploited and Abuse.ch tells you what's spreading and where it's phoning home.

AlienVault OTX, GreyNoise, and Shadowserver: community feeds with distinct editorial uses

AlienVault OTX is the biggest community-run threat intelligence platform out there, with more than 19 million indicators contributed by upward of 100,000 researchers worldwide. Intelligence gets grouped into "Pulses," bundles of indicators tied to a specific campaign or threat actor rather than a loose pile of hashes with no story attached.

Access comes through an API for anyone building it into a workflow, and Pulse data downloads in CSV, OpenIOC, or STIX. DirectConnect agents push feeds straight into Bro-IDS, TAXII, and Suricata setups.

Quality varies depending on who's contributing that week. OTX works best as an enrichment layer, a second opinion that validates what another source already flagged, rather than a primary detection engine. For marketers, that means checking OTX data against something more authoritative before building a piece around one specific indicator. Don't hang a whole article on an unverified Pulse.

GreyNoise takes a different angle. It runs a sensor network that tells you which IP addresses scanning the internet are background noise (researchers, scanners, curious bots) versus genuinely malicious. Its real value is cutting false positives, filtering out the internet's equivalent of telemarketers so the real threats stand out.

MISP and ISACs: where sector-specific intelligence lives

MISP, the Malware Information Sharing Platform, is technically an open-source platform rather than a feed. It's an open-source platform that lets organizations store, correlate, and share structured threat intelligence with each other. Plenty of ISACs and government agencies run their own MISP instances to distribute intelligence to members.

What it actually does: stores and tags IOCs with metadata, aggregates feeds from multiple sources, and visualizes connections between them. Think of it as the shared whiteboard a group of organizations write on together, except the whiteboard cross-references itself.

ISACs, Information Sharing and Analysis Centers, are sector-specific groups sharing real-time threat data within one industry. Major sectors including financial services, healthcare, and energy each have their own. The intelligence that flows through them is targeted in a way no single-vendor feed can match, because it's coming from peers dealing with the exact same attackers.

That matters more than it sounds for anyone writing to a specific vertical. IT and telecommunications led every end-user vertical in threat intelligence market share in 2025, at 20.60%. BFSI (banking, financial services, and insurance) is growing the fastest of any vertical, at a 14.70% compound annual rate. Content aimed at those buyers has to reflect the threats actually hitting their sector. A generic "ransomware is bad" post reads as background noise to a security team that just read their ISAC's briefing on a specific actor targeting their exact industry last week.

Cisco Talos, MISP/OTX via LevelBlue, and what the free tier gives you before going commercial

Cisco Talos runs one of the largest commercial threat intelligence operations in the world, watching vast volumes of DNS requests, emails, and network flows. Its free reputation center lets anyone look up an IP, a domain, or a file hash without a commercial subscription.

Talos's full commercial feeds plug into Cisco's own security products and broader enterprise workflows. The free reputation center, though, matters for content work. It's publicly accessible, it's regularly cited in practitioner forums, and it gives a marketer a fast way to verify or add context to a specific indicator before publishing.

The Open Threat Exchange, now operating under LevelBlue Labs, is still one of the more recognized community-driven platforms around, valued for its collaborative model and the sheer size of its shared indicator pool.

FBI InfraGard works differently from everything else on this list. It connects private-sector operators with the FBI for education, networking, and information sharing on threats to critical infrastructure. It's not a real-time feed and shouldn't be treated like one. Its value is relational, a briefing channel more than a data pipe, which makes it useful for organizations serving critical infrastructure clients who need that kind of access.

Recorded Future, Mandiant Advantage, and CrowdStrike Falcon Intelligence: when commercial feeds earn their place

Free feeds get you a long way. But commercial platforms add real-time enrichment, actor profiling, and campaign-level context that takes actual analyst hours to build from scratch, and that's where the money starts making sense.

Recorded Future pulls from dark web monitoring, code repositories, paste sites, technical feeds, plus original analyst research from its Insikt Group. That breadth produces indicators genuinely not available anywhere free. Mastercard's acquisition of Recorded Future, at USD $2.65 billion, is about as strong a market signal as this category gets.

Mandiant Advantage is strongest on malware family attribution and tracking nation-state actors. If a piece is specifically about an APT campaign or a named threat group, this is the feed doing the heavy lifting behind the scenes.

CrowdStrike Falcon Intelligence focuses on adversary tracking and integrates with CrowdStrike's endpoint platform. And the 2026 Global Threat Report cited earlier isn't a side project, it's proof of how much original research that intelligence operation produces on its own, which happens to be public and free for anyone paying attention.

Reading feeds as a marketer rather than as an analyst

An analyst opens a feed asking one question: is this indicator malicious, and does it touch our environment? A marketer needs to ask something different. Does this signal match a trend readers are living through right now, and is there enough specific detail here to write about it credibly?

Feeds work as content triggers once that shift happens. A new CISA KEV entry becomes a timely vulnerability management story. A spike in GreyNoise scanning activity becomes an "active exploitation underway" story. A Recorded Future or Mandiant report naming a threat group becomes a profile piece or a campaign breakdown.

Four questions practitioners commonly apply when evaluating feeds work just as well for content planning. Coverage: which threats does the current content library ignore? Quality: is this indicator something a reader can act on, or just noise? Currency: is the feed still current, or has it gone stale? Accessibility: can this be checked regularly without needing analyst-grade tooling?

Context is what turns a list of indicators into an actual story. Take that pattern from earlier, vulnerabilities exploited before defenders can respond to public disclosure. On its own, it's just a trend. Paired with a fresh KEV entry, it becomes an argument: patch cadence alone doesn't cut it anymore, because attackers are moving before the patch even exists.

Feed literacy as a structural advantage for security content programs

The threat intelligence market sat at USD $9.21 billion in 2025, headed toward USD $18.85 billion by 2031. A market that size produces a matching volume of vendor noise, and security practitioners have gotten very good at tuning it out. They can tell within a paragraph whether a writer has read a feed this month or is recycling last year's headlines with a new logo slapped on top.

Feed literacy fixes that, not by turning marketers into analysts, but by giving them the same situational awareness their readers already have. A marketer who knows what just landed in CISA KEV, who's tracked a spike in GreyNoise noise, who's seen what CrowdStrike's latest report says about breakout time, writes from the same vantage point as the audience instead of from three steps behind it.

That gap, between vendor content that guesses at the threat landscape and content grounded in what the feeds actually show, separates content that gets skimmed from content that gets trusted. Practitioners forgive a lot of things. They don't forgive being told about a threat they already patched two weeks ago.