Technical SEO for CISOs & engineers
Search programs built for security-buyer queries — CVE pages, threat-briefing pages, technical comparisons. AEO optimization because CISOs are increasingly triaging via LLM answer engines, not Google.
06 Verticals · Cybersecurity
Marketing & AI for
cybersecurity operators.
We run technical marketing and AI automation for cybersecurity vendors — companies selling into CISOs and security-ops teams. We don't build offensive tooling; we don't write content that sounds like ChatGPT; we don't train models on customer telemetry without contract language that covers every byte.
KacificSatellite Internet · SG
FlexxonNAND Solutions · SG
X-PHY IncCybersecurity · US
Gauze CareMedical Products · US
NDAB2B SaaS · US
NDAFintech · SG
NDAClimate & Energy · APAC
NDALogistics · US
Security buyers don't fall for slop — marketing or AI.
Your buyers are the most cynical audience on earth. A CISO can smell a hallucinated CVE reference from a cold-email subject line, and they can spot a demo-ware agent in a POV inside four questions. The content and the AI that work in cybersecurity sound like a reverse engineer wrote them — not a marketer or a vendor.
We've shipped for X-PHY Inc (US cybersecurity) and multiple NDA security vendors across SG and the US. The pattern is consistent: tight technical voice, eval'd for factual accuracy, and every claim traceable to a primary source — in marketing and automation alike.
Finyki is remote-first, with teams across Singapore and the United States. We staff technical operators on cyber engagements — nobody learning OWASP or nmap on your brand.
02 What we run in Cybersecurity
Service shapes across marketing
and AI, tuned to the security buyer.
Every engagement respects that your buyer reads your blog post and runs it through `strings` before they call your AE.
Technical content & CVE intelligence
Content programs that generate CVE analyses, threat briefings, and technical teardowns against a curated knowledge base. Every claim linked; every draft eval'd for factual accuracy before it ships.
Enterprise ABM for security buying committees
Multi-persona ABM across CISO, Head of SecOps, DevSecOps, and Procurement. LinkedIn, targeted placements, and event activation scoped against security-buying cycles — not SaaS pipelines.
CISO & security-team intelligence
Sales-research agents that map the security org, the existing stack, the last breach signal, and the budget cycle — so your AE walks in with something a CISO hasn't already seen.
Technical battlecard & demo copilots
A demo copilot that answers the CISO's third question without the SE on every call. Grounded on your actual product docs, not a marketing one-pager.
Security copilots & analyst enablement
For security platforms: triage copilots, alert summarization, and analyst-enablement surfaces. Eval'd for false-negative rate as the primary metric — not accuracy.
Why most cybersecurity agencies plateau.
The content and the demo both sound like ChatGPT. Because both were written by ChatGPT. Security buyers will spot a generic LLM tone in one scroll or one question. We build voice harnesses and eval for factual accuracy before anything ships.
The claim library is hallucinated. A CVE reference, a compliance clause, or a technical assertion that's wrong in a blog post — or a demo — is a product-credibility event. Every claim needs citation; every source needs to be real.
The CISO list is the Apollo list. Generic contact data gets you deleted before 'hello.' We build ICP research pipelines that actually know the buyer — the open CVE in their stack, the breach last year, the tool they replaced.
The product demo agent lies under pressure. A copilot that fabricates product behavior in a POV is worse than no copilot. We build the eval harness first, then the agent — not the other way round.
03 Proof
Cybersecurity teams already operating
on what we built.
US · Cybersecurity · SEO + AI
X-PHY Inc
Hardware-level cybersecurity for defense and enterprise. We run the SEO and technical-content program reaching security engineers and CISOs, plus a CVE-aware content pipeline that drafts technical analyses against a curated knowledge base.
- 3.2×Organic traffic
- +44%MQL quality score
- 18Top-3 rankings
SG · Security Platform · ABM + Sales AI
NDA · Threat-Intel Platform
Rebuilt the ABM program against named enterprise accounts and shipped the CISO-research agent that now pre-briefs every enterprise AE. Replaced a three-person research team's workflow.
- -78%Research time
- +19%Qualified meetings
- 2.2×ACV mix
How an engagement usually starts.
Week 0 — Scoping call (free). Forty-five minutes on your call, not ours. You describe the workflow that's bleeding time, the demand program that's plateaued, or the system that's stuck. We tell you which lever is the right first move, and roughly what shape the engagement would take.
Week 1 — Written scope. A one-page scope with the specific agent, workflow, or marketing program, the success metrics, the eval or measurement plan, and the cost. No 60-slide proposal.
Weeks 2–6 — Build. You see working output by the end of week 2, iterated weekly. Evals, analytics, or campaigns run against real production data from week 3. Your team joins the build reviews.
Week 6+ — Handover & operate. Full documentation ships to your repo, your CRM, your ad accounts. Your team runs it. We stay on for operate-and-improve retainer if you want us — many clients keep us for 18+ months. Many don't. Both are fine.
04 Questions Cybersecurity teams ask
Usually in this order.
Do you handle both cyber marketing and cyber AI?
Yes. Technical SEO, content, and enterprise ABM on the marketing side; CISO research, battlecard copilots, and product AI on the automation side. Same engagement, same tight technical voice.
Do you build offensive-security tooling or red-team AI?
No. We don't build offensive tooling, exploit generators, or detection-evasion automation. Those are out of scope, full stop.
How do you handle factual accuracy for technical content?
Curated knowledge base + retrieval + eval harness. Every claim in a published piece resolves to a primary source (NIST, MITRE, vendor advisory, or original research). Drafts failing the citation threshold don't ship.
What's different about selling AI into security buyers?
Your buyer is explicitly paid to distrust AI. The content, the demo, and the sales conversation all have to survive 'prove it.' We scope every deliverable against that bar.
Can you work under NDA for sensitive vendor work?
Yes. About 70% of our cyber engagements are under tight NDA — customer logos don't appear on our site, case studies are anonymized.
Do you train models on customer telemetry?
No training on customer telemetry without explicit written consent and a data-processing agreement. Default deployment pattern is retrieval-augmented inference with no model training.
What compliance frameworks do you scope for?
SOC 2, ISO 27001, CSA, MAS TRM for SG. We're not a pentest firm and don't audit your product; we scope our own deployments not to be the weakest link in your buyer's security review.
Your turn
Book the scoping
call.
Forty-five minutes, your agenda, no slides. You'll leave with a clear read on what the right first move is for your Cybersecurity team — and a rough shape for the first engagement if it is.