The Oldest Shark in B2B Cybersecurity Marketing

I was thinking about one of those impossibly old sharks you see at an aquarium. The kind that looks like it has been swimming in circles since before Wi-Fi existed. It has scars, cloudy eyes, a few questionable teeth and the general expression of something that has seen every trick in the ocean twice.

That is starting to feel a little like B2B buyer intent.

Buyer intent has been around the block. It was incredibly useful when the alternative was basically a spreadsheet of target accounts and a sales rep saying, “I have a good feeling about these guys.” Then came keyword research, account surges, website identification, technographics, job changes, funding alerts, social activity and increasingly sophisticated AI models designed to interpret all of it.

The shark got smarter. It also got old.

Today, your prospect can post three cybersecurity jobs, raise another funding round, visit your website and apparently research zero trust. Your intent platform may light up like a casino floor. You still may have absolutely no idea whether anybody intends to buy your product.

That does not make intent data useless. The old shark can still swim. The problem is that we have spent years attaching the word intent to almost every movement in the water.

A job posting is a signal. A new CISO is a signal. A funding announcement is a signal. Anonymous website traffic is a signal. These things can tell you where to look, but they cannot necessarily tell you what the buyer is doing.

And cybersecurity makes that distinction especially important.

A company hiring PAM specialists might be expanding technology it already owns, replacing employees, responding to an audit or bringing outsourced work in-house. The signal tells you something changed. It does not tell you somebody is shopping.

That is where the next generation of buyer intelligence needs to go: away from simply detecting movement around an account and toward observing actual cybersecurity professionals researching actual problems.

Bombora tracks increased research around B2B topics. 6sense combines publisher activity, third-party intent, CRM data, technographics, website behavior and job changes. Demandbase uses identity resolution and modeled behavior to help determine which contacts may be behind account activity. ZoomInfo combines intent with its large company and contact database.

G2 gets closer to direct evaluation behavior because it can see people researching categories, comparing products and reading reviews inside its own marketplace. TechTarget and Foundry also operate first-party technology audiences, although cybersecurity is one part of their broader technology ecosystems.

These are useful platforms. The problem is treating all their signals as interchangeable.

There is a huge difference between knowing that an account hired a new CISO and knowing that a specific security director has repeatedly researched DSPM, attended a data security webinar and returned to related content three times.

One is context. The other starts looking like behavior that’s open to interpretation.

Consumer platforms figured this out years ago. Facebook and Instagram do not need you to download an ebook before recognizing that you are interested in something. They observe what you view, revisit and engage with over time.

Cybersecurity professionals leave the same kind of behavioral trail through articles, webinars, events, training and communities.

That is where a cybersecurity-specific ecosystem becomes more valuable. ISMG operates 38 media properties serving more than 2 million subscribers, with Athena using first-party behavioral intelligence across media, events, training and private cybersecurity communities.

The important difference is that the cybersecurity context exists before the signal does.

The old B2B equation of form fill equals lead equals intent is also getting weaker. Buyers increasingly want to research on their own, which makes gating every article or PDF a worse value exchange.

A private community login is different. People authenticate because they want access to peers, conversations, benchmarking and experiences they cannot get anonymously. You are not gating information. You are establishing a relationship.

That matters because generic signals are becoming commodities. Everyone can monitor job changes, scrape hiring data, buy firmographics and build enrichment workflows. The advantage shifts toward behavior your competitors cannot easily purchase: what buyers read, what they return to and whether multiple people inside the same organization begin researching the same problem.

The old intent shark does not need to disappear. It just needs some new teeth. Account signals still tell marketers where something interesting may be happening. First-party, contact-level behavior tells you whether the people inside that account are actually circling a problem.

So the next time an intent platform shows you a glowing account and an AI-generated score, ask a simpler question: What did the cybersecurity buyer actually do?

That answer is probably worth more than the score.