Campaigns & ABM · Healthcare
For DSPM, SSPM & SaaS governance marketers
Data security positioning that ABM teams can forward
Data security and SaaS governance buyers do not wake up wanting another ‘platform’ blog—they want to understand exposure in their industry: how PHI leaks differ from regulated finance data, or how shadow AI changes exfiltration paths. Cyberou builds vertical-specific narrative, long-form, and ABM cuts that pass security review, read like grown-up analysis, and give reps one credible URL per account cluster.
- Industry-specific risk stories that connect controls to incidents buyers already read about
- Long-form and gated assets sized for buying committees—not a single generic ebook swapped for region
- Executive and byline programmes when you need authority in analyst and press conversations
- Research-forward hooks when you want Tier-1 pickup without overclaiming product detection
Teams we work with
Case studies in this space
Challenge, approach, and outcomes—written for marketing and GTM leaders.
Examples of work (live links)
Selected pieces from our public catalogue. Open the full catalogue for filters.
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1Campaign: A New Cloaking Platform Helping Attackers Abuse Google Ads
Cyberou wrote this threat research for Varonis, published on Varonis Blog.
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5 Ways Cybercrime Has Become a Subscription Business
Cyberou wrote this threat research for Varonis, published on Varonis Blog.
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Astaroth: A New 2FA Phishing Kit Targeting Gmail, Yahoo, AOL, O365
Cyberou wrote this threat research for Varonis, published on Varonis Blog.
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Dark Web Anti-Bot Services Aid Phishing Campaigns
Cyberou wrote this threat research for Varonis, published on Varonis Blog.
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Decoding ClickFix: Browser-Based Phishing
Cyberou wrote this threat research for Varonis, published on Varonis Blog.
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FishXProxy: Phishing Kit With Deep Cloudflare Integration
Cyberou wrote this threat research for Varonis, published on Varonis Blog.
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How Cybercriminals Buy Access: Logins, Cookies, and Backdoors
Cyberou wrote this threat research for Varonis, published on Varonis Blog.
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How Threat Actors Use AI to Hide Malicious Sites
Cyberou wrote this threat research for Varonis, published on Varonis Blog.
What marketing leaders say
“Daniel is extremely knowledgeable about the cybersecurity and threat landscape. His research is thorough, and his writing is publishing-ready.”
“Daniel was an amazing resource for my marketing team! He is very knowledgeable about all things cybersecurity and super easy to work with.”
“Daniel's sponsored post delivered 238 new sign-ups at just $6.30 CPA, an outstanding result. We're excited to continue and build an even stronger long-term partnership.”
“We've collaborated with Daniel on multiple cybersecurity projects, and he consistently exceeds expectations with his exceptional ability to produce amazing posts.”
“Daniel has been a massive boon for my very small marketing team at an early-stage startup. He's able to distill complex technical concepts into engaging, accessible content.”
“Daniel creates compelling content with high-quality articles and engaging social media posts tailored to our target audience. Very professional and articulate.”
“Daniel was great to work with on our LinkedIn campaign for TryHackMe. He was very prompt, communication was easy throughout, and we'd absolutely love to collaborate with him again.”
FAQ
Our ABM team wants one narrative spine across ads, SDR sequences, webinars, and customer marketing. How do you keep that tight?
We document a single risk model and vocabulary list, then adapt length and proof density per channel. Ads and SDR get the short version; webinars and deep blogs carry the receipts—so reps are not juggling five conflicting stories.
Legal will not let us name customers or internal breach detail. Can the copy still feel specific?
Yes. We work from public incidents, anonymised composites your team signs off on, and directional stats you approve. Specificity comes from mechanics and trade-offs, not from naming victims you cannot cite.
We are being dragged into ‘shadow AI’ and gen-AI data risk conversations overnight. Can you help without FUD?
We frame shadow AI as governance and exfiltration mechanics—what admins can observe, what policies break first, and what good remediation looks like—then align product claims to your matrix. Fear-based vague warnings are what we avoid.
What does Content Studio cover versus Threat Labs in a typical programme?
Content Studio is your ongoing editorial engine: web, SEO, launches, ABM assets, and campaign copy with technical review baked in. Threat Labs is monitoring-led packaging—briefings, narratives, and optional vertical exclusivity when you need findings competitors cannot paste into their blog the same week.
How do SME, legal, and comms review usually run?
We draft with sourcing notes, assumption callouts, and approved claim language. Your PMM or research team fact-checks once per piece where needed; legal and comms often batch-review weekly after the first sprint establishes tone and guardrails.
How fast can we realistically start?
Focused pilots often kick off within a couple of weeks once brief, stakeholders, and disclosure rules are clear. Larger launches, analyst moments, or exclusivity windows need more runway—we spell out dates and dependencies in the first reply.
Plan a programme for your category
Tell us your timeline, buyers, and what you need shipped—we’ll reply with how Content Studio or Threat Labs maps to it.