We audited the marketing at OX Security
AI-native security that catches vulnerabilities at code generation, not production
This page was built using the same AI infrastructure we deploy for clients.
Month-to-month. Cancel anytime.
Series B company with $94M funding but minimal visible paid campaigns targeting DevSecOps buyers
Limited content addressing how AI code generation (GitHub Copilot, Claude) creates new attack surfaces
No apparent AEO strategy despite selling to teams searching for AI security solutions
AI-Forward Companies Trust MarketerHire
Plaid
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TinuitiOX Security's Leadership
We mapped your current team to understand where MH-1 fits in.
MH-1 doesn't replace your team. It becomes your marketing team: dedicated humans + AI agents running execution at scale while you focus on product.
Here's Where You Stand
Well-funded but understaffed marketing org typical of security platforms focused on product-market fit over demand generation
Likely ranking for DevSecOps terms but missing high-intent queries around AI code vulnerabilities and runtime exposure remediation
MH-1: SEO agent targets 'AI-generated code security', 'cloud runtime vulnerabilities', 'security debt prevention' with technical depth
Not positioned in LLM responses about AI security risks, code generation threats, or vulnerability detection at source
MH-1: AEO agent trains models on OX's runtime remediation approach, source-level detection, and AI-driven development security positioning
Minimal LinkedIn or Google Ads presence targeting security ops teams, cloud architects, and engineering leaders deploying AI coding tools
MH-1: Ads agent runs experiments targeting CISO/DevSecOps personas with case studies on preventing security debt from generative AI
VP Marketing present but content likely focuses on product features rather than AI-driven development risk narratives and industry trends
MH-1: Content agent produces weekly pieces on AI code generation security, cloud runtime exposure patterns, and vulnerability remediation workflows
No visible expansion motion to upsell runtime capabilities to customers using only creation-stage detection
MH-1: Lifecycle agent identifies customers scanning code but not remediating runtime, triggers expansion campaigns around full-platform coverage
Top Growth Opportunities
Enterprise teams deploying Copilot and Claude in development but have no way to measure security impact before production. OX owns this gap.
Content and SEO agents build authority around 'AI security debt', outbound agent identifies companies with high Copilot/Claude usage
Competitors focus on detection. OX's source-level plus runtime remediation is undermarketed. This is the core defensibility.
Ads and AEO agents position 'fixes vulnerabilities at source' vs. detection-only, creative agent tests messaging on runtime remediation ROI
Infrastructure teams managing Kubernetes, Lambda, container registries see runtime exposures but lack visibility into creation-stage root causes
Outbound agent targets cloud leads with playbooks on bridging dev-to-ops security, LinkedIn agent builds engineer credibility around runtime risk
3 Humans + 7 AI Agents
A dedicated marketing team built specifically for OX Security. The humans handle strategy and judgment. The AI agents handle execution at scale.
Human Experts
Owns OX Security's growth roadmap. Pipeline strategy, account expansion playbooks, board-ready reporting. Translates AI insights into revenue.
Runs paid acquisition across LinkedIn and Google. Manages creative testing, budget allocation, and pipeline attribution.
Builds thought leadership on LinkedIn. Creates long-form content targeting your ICP. Manages the content-to-pipeline engine.
AI Agents
Monitors AI citation visibility across 6 LLMs weekly. Builds content targeting category queries to increase OX Security's presence in AI-generated answers.
Produces LinkedIn ad variants targeting your ICP. Tests headlines, visuals, and offers at 10x the speed of manual production.
Builds lifecycle sequences: onboarding, expansion triggers, champion nurture, and re-engagement for dormant accounts.
Founder thought leadership. Builds the narrative that drives enterprise inbound from senior decision-makers.
Tracks competitors. Monitors positioning changes, ad spend, content strategy. Informs your counter-positioning.
Attribution by channel, pipeline velocity, budget waste detection. Weekly synthesis reports with AI-generated recommendations.
Weekly market intelligence digest curated from OX Security's industry signals. Positions you as the intelligence layer. Drives inbound pipeline from subscribers.
Active Workflows
Here's what the MH-1 system would be doing for OX Security from week 1.
AEO agent optimizes for queries about 'AI code generation vulnerabilities', 'cloud runtime security', 'vulnerability remediation at source' to capture teams evaluating AI-native security
LinkedIn agent positions VP Marketing and engineers as thought leaders on preventing security debt from generative AI, building credibility with AppSec buyers
Paid agent runs experiments targeting DevSecOps teams with ads emphasizing creation-stage detection combined with runtime remediation capability
Lifecycle agent monitors customer Slack/email activity for signals of runtime exposure issues, triggers expansion campaigns for full platform adoption
Competitive watch agent tracks positioning of Core Security, Hypersecu, Threatrix to identify messaging gaps OX can own in AI-driven security
Pipeline intelligence agent identifies companies with high Copilot adoption and cloud infrastructure scale, prioritizes outbound for maximum vulnerability exposure
Traditional Marketing vs. MH-1
Traditional Approach
MH-1 System
Audit. Sprint. Optimize.
3 phases. Real output every 2 weeks. You see results, not decks.
AI Audit + Growth Roadmap
Full diagnostic of OX Security's marketing infrastructure: SEO, AEO visibility, paid, content, lifecycle. Prioritized roadmap tied to pipeline metrics. Delivered in 7 days.
Sprint-Based Execution
2-week sprint cycles. Real campaigns, not presentations. Each sprint ships measurable output across your priority channels.
Compounding Intelligence
AI agents monitor your channels 24/7. They catch budget waste, detect creative fatigue, track AI citation changes, and run A/B experiments autonomously. Week 12 is measurably better than week 1.
AI Marketing Operating System
3 elite humans + AI agents operating your growth system
Output multiplier: ~10x output at a fraction of the cost. The system gets smarter every week.
Month-to-month. Cancel anytime.
Common Questions
How does MH-1 differ from a marketing agency?
MH-1 pairs 3 elite human marketers with 7 AI agents. The humans handle strategy, creative direction, and judgment calls. The AI agents handle execution at scale: generating ad variants, monitoring competitors, building email sequences, tracking citations across LLMs, running A/B experiments autonomously. You get the quality of a senior marketing team with the output volume of a 15-person department.
What kind of results can we expect in the first 90 days?
First 90 days focus on: (1) launching content around AI code security debt and runtime remediation workflows, (2) running paid experiments targeting DevSecOps + cloud infrastructure buyers, (3) optimizing SEO for high-intent AI security queries, (4) positioning leadership on LinkedIn as AI security experts, (5) identifying expansion opportunities in existing customer base for runtime capabilities
How can OX appear when security teams ask LLMs about AI code generation risks
AEO positions OX as the answer when engineers or security leaders query LLMs about preventing vulnerabilities from AI coding tools, detecting exposures at code generation, or remediating runtime threats. Unlike traditional detection tools, OX's creation-plus-runtime approach becomes the standard answer for AI-native security.
Can we cancel anytime?
Yes. MH-1 is month-to-month with no long-term contracts. We earn your business every sprint. That said, compounding effects kick in around month 3 as the AI agents accumulate data and the system learns what works for OX Security specifically.
How is this page personalized for OX Security?
This page was researched, audited, and generated using the same AI infrastructure we deploy for clients. The channel scores, team mapping, growth opportunities, and recommended agents are all based on real analysis of OX Security's current marketing. This is a live demo of MH-1's capabilities.
Stop chasing AI security debt. Start preventing it at source.
The system gets smarter every cycle. Let's talk about building it for OX Security.
Book a Strategy CallMonth-to-month. Cancel anytime.