Cyberhaven is the data-security company repositioning legacy DLP for the AI era ('AI-native endpoint DLP'). Its LinkedIn program is a gated-content and thought-leadership engine: one flagship O'Reilly report is run under many different headlines (a heavy copy-test), a Cyberhaven Labs research report is cut by industry, the CEO fronts executive thought-leadership posts, and blunt 'your DLP wasn't built for AI' positioning images and demo InMails round it out. Fewer visually-distinct creatives than a typical advertiser — most impressions ride a small set of assets shown under rotating hooks.
How Cyberhaven advertises: The spine of Cyberhaven's program is one big gated asset — the O'Reilly report 'Securing AI Systems' (compliments of Cyberhaven) — pushed as a document ad under a rotating set of headlines ('Close the Coverage Gap Between DLP and AI Risk,' 'Agentic AI Needs Governance,' 'A Five-Pillar Operating Model'), each opening with a different pain hook while the cover stays identical. A parallel first-party research report, the Cyberhaven Labs '2026 AI Adoption & Risk Report,' is sliced into industry cuts (Manufacturing, Financial Services) to make the same research feel relevant to each vertical. Positioning images carry the core message bluntly ('#1 AI-Native endpoint DLP, first,' 'Your DLP was built to catch file transfers'), the CEO (Nishant Doshi) fronts executive thought-leadership on 'securing the agentic enterprise,' a product launch (Cyberhaven Flow) runs as a video, and long, feature-listy demo InMails chase 1:1 meetings. It's a content-and-credibility play: own the 'DLP wasn't built for AI' argument, prove it with research, and let the CEO carry the executive narrative.
A gated-content and thought-leadership mix built on a few workhorse assets — one O'Reilly report and one research report — rotated through many headlines and industry cuts, plus CEO posts and positioning images.
| Format | What Cyberhaven uses it for |
|---|---|
| Document ad | A flagship O'Reilly report and a Cyberhaven Labs research report, previewed in-feed |
| Single image | Blunt positioning creatives ('#1 AI-Native endpoint DLP, first') |
| Executive thought leadership | CEO-promoted posts and a LinkedIn article on the 'agentic enterprise' |
| Conversation (Message) ad | Long, feature-listed demo pitches from a rep |
| Video | A product-launch announcement (Cyberhaven Flow) |
Live Cyberhaven creatives with their full ad copy (verbatim), format, theme and CTA.
"Cyberhaven was built AI-native from the start, giving security teams full visibility into how data flows to and from AI tools, with real enforcement, not just alerts. Headline: AI is moving data. Your DLP needs to keep up."
"Cyberhaven's newest research shows employees using AI across GenAI SaaS apps, endpoint tools, and AI agents—often across multiple accounts and unmanaged environments. A 20-page first-party research report offered as a swipeable document ad."
"Your DLP was built to catch file transfers. AI risk moves through fragments, context, and inference that legacy tools can't trace. The 47-page O'Reilly report 'Securing AI Systems' (compliments of Cyberhaven) is Cyberhaven's workhorse asset — this is the DLP-coverage-gap headline."
"Your DSPM is only as good as your DLP — and connecting your DSPM with your legacy DLP with 'labels and tags' doesn't count. A short executive point-of-view post promoted from the CEO's profile, lending a human voice to the category argument."
"Hi %FIRSTNAME%, my name is Erick, and I'm from Cyberhaven. I thought you'd be interested in seeing our product in action. A long, feature-listed InMail (Real-Time Data Protection, Enhanced Data Visibility, Effortless Compliance Assurance) — a very different, generic-feeling register from the polished report and CEO ads."
"In my 25 years in cybersecurity, I've never seen a shift move this fast. A LinkedIn article ad promoted from CEO Nishant Doshi, fronting the 'AI Changed Work. We Protect It.' brand line and the 'every company is becoming an agentic enterprise' narrative."
"When an agentic AI retrieves data, coordinates tasks, and initiates actions across systems, who is accountable for what it exposes? The identical O'Reilly 'Securing AI Systems' cover, run under a governance-and-accountability headline instead — a clear look at how Cyberhaven copy-tests one asset across many hooks."
"Manufacturing AI adoption isn't spreading evenly across the industry. A growing set of organizations is moving fast on AI while others stay cautious, and the security risk is concentrating at the frontier. The same Cyberhaven Labs research, cut into an industry-specific edition (Manufacturing; Financial Services runs in parallel) to raise relevance per vertical."
Ad copy and creatives shown verbatim for commentary and analysis; they belong to Cyberhaven (Cyberhaven Inc), isolated in the LinkedIn Ad Library by companyId 10639445. Third parties named: O'Reilly (publisher of the report 'Securing AI Systems' by Pamela K. Isom, distributed compliments of Cyberhaven). Executive posts are promoted from Cyberhaven CEO Nishant Doshi; the demo message ad is signed by Cyberhaven employee Erick Baldwin. Cyberhaven ran comparatively few visually-distinct creatives — a gated-content copy-tester — so this page documents its workhorse assets and the headline/industry-cut variations it rotates them through.
Cyberhaven's most-run creative is a single O'Reilly report shown under a rotating set of hooks ('coverage gap,' 'agentic AI governance,' 'five-pillar model'). When one asset is strong enough, testing many headlines against the same cover is a cheap way to find the angle that converts.
The Cyberhaven Labs '2026 AI Adoption & Risk Report' is sliced into Manufacturing and Financial Services editions. Re-framing the same research per vertical multiplies relevance without new research — a repeatable content play.
Nearly every ad hammers one wedge: legacy DLP was built for file transfers, not AI-era data movement. Picking a single, sharp 'the old category is obsolete' argument and repeating it everywhere is how a challenger reframes a market.
The founder-CEO fronts the 'securing the agentic enterprise' story in promoted posts and an article. An executive voice carries big-picture, board-level framing more credibly than the brand account can.
The polished report and CEO ads sit next to long, generic, feature-listed demo InMails that read very differently. Prospects see both — keeping every format at the same quality bar matters, or the weakest ad defines the brand.
We build LinkedIn and paid programs for high-consideration B2B and cybersecurity buyers — measured on pipeline, not impressions.
Book a free ad auditCyberhaven runs a gated-content and thought-leadership program built on a few workhorse assets: an O'Reilly report ('Securing AI Systems') shown as a document ad under many rotating headlines, a Cyberhaven Labs research report cut into industry editions, blunt 'your DLP wasn't built for AI' positioning images, CEO-fronted thought-leadership posts and an article, a product-launch video (Cyberhaven Flow), and long demo InMails.
Legacy DLP was built to catch file transfers, but AI-era data risk moves through fragments, context, and inference that old tools can't trace — so you need AI-native data security. It positions itself as the '#1 AI-native endpoint DLP' and backs the argument with first-party research.
Most impressions ride a small set of assets — chiefly the O'Reilly report and the Cyberhaven Labs research report — shown under many different headlines and industry cuts. It's deliberate copy-testing of a few strong assets rather than a large library of distinct creatives.
Concentrate on one or two genuinely valuable assets and test many headlines against them, cut a single research report by industry to multiply relevance, own one sharp category argument, and put your CEO on the executive narrative — while keeping lower-effort formats like demo InMails at the same quality bar as the hero content.