Cybersecurity AE moving into AI sales
You sell cybersecurity tooling today and your company added an AI product (or you joined an AI-native security company). The course teaches the AI-specific layer on top of the discipline you already have.
Cybersecurity career intelligence
Get weekly cybersecurity career intelligence
By subscribing you agree to our privacy policy. Unsubscribe anytime.
© 2026 Bespoke Intermedia LLC
Founded by Julian Calvo, Ed.D., M.S. · Cybersecurity career intelligence · Est. 2024
DecipherU · Course
AI Sales and Solutions Engineering Mastery
AI Sales and Solutions Engineering Mastery is a 16-module cybersecurity AI sales program for sellers, sales engineers, and solutions architects. The course teaches the DecipherU Method, our proprietary synthesis built from primary sources: Aristotle on rhetoric and practical wisdom, Cicero and Quintilian on argument, Mary Parker Follett (1924) and Walton and McKersie (1965) on integrative negotiation, Carl Rogers's 1957 paper on empathic understanding, Cialdini and colleagues' 1975 peer-reviewed reciprocal concessions research, and Asch's 1956 conformity studies. We then layer the AI-specific application practitioners cannot find anywhere else. Approximately 50 hours of focused study plus a 38 to 57 hour capstone reviewed by Julian Calvo.
Course author
Julian Calvo, Ed.D., MBA, M.S.
Founder of DecipherU. Enterprise B2B sales background, MBA in Marketing, doctoral research in Applied AI for cybersecurity. Reviews the first 100 capstones personally.
After the course you can run a Fortune 500 cybersecurity AI deal cycle with the rigor of a top 0.1% AE plus the technical credibility to clear AI-specific buyer concerns.
Run a complete enterprise AI deal cycle
Prospect to close to expansion using the synthesized methodology, applied to cybersecurity AI products selling into Fortune 500 buyers.
Qualify with the discipline of a top-decile AE
Eight-condition qualification spine, force-ranked pipeline, clean walk-away criteria. No more deals closing on hope.
Conduct discovery that surfaces business pain
Diagnostic conversations that quantify economic impact and produce decision-grade qualification, not pipeline theater.
Multi-thread enterprise deals across 5 to 10 stakeholders
Economic, technical, AI ethics, security, procurement, legal. Engagement maps that compound across quarters.
Run C-suite engagement with insight, not pitch decks
Executive insight presentations grounded in the customer's filings, AI strategy, and stated priorities.
Handle the full AI-specific objection set
Hallucination, model bias, data privacy, vendor lock-in, frontier model dependency, governance compliance, prompt injection, training data provenance.
Negotiate AI deals with the right contractual posture
Usage-based pricing, model risk indemnification, data ownership, output ownership, deprecation clauses, and AI Act compliance language.
Build account plans and territory strategy that compounds
Quarterly account planning, weekly pipeline review, monthly forecast hygiene. The operations layer that makes the rest of the course pay off.
Sixteen modules cover the full cycle: practitioner identity, AI buyer landscape, discovery inquiry, buyer-readiness qualification, multi-threading, executive engagement, AI objections, proof of value, principled negotiation, expansion, pipeline, and account planning. Module 16 is a live deal capstone reviewed by the founder.
The DecipherU Method synthesizes eight pillars from primary sources rather than from contemporary trademarked methodologies. Each pillar names its source so practitioners know what they are learning, where it came from, and which discipline applies when.
You sell cybersecurity tooling today and your company added an AI product (or you joined an AI-native security company). The course teaches the AI-specific layer on top of the discipline you already have.
You sell AI products and want top decile rigor. The course gives you the DecipherU Method, qualification scorecards, and the AI-specific objection playbook your team does not yet have.
You have the technical credibility. You need the AE craft. The course teaches the discovery, qualification, multi-threading, and executive engagement that turn pre-sales depth into closed revenue.
Required
Recommended
Reviews
Reviews from the first cohort arrive Q2 2026. Founder-reviewed capstones in the top 10% become anonymized case studies (with explicit permission).
B2B sellers, sales engineers, and solutions architects moving into cybersecurity AI sales. Best fit is 2 to 10 years of complex B2B sales experience selling to Fortune 5000 buyers. Cybersecurity sellers expanding into AI security tooling fit the program directly.
Self-paced. Roughly 50 hours of focused study across 16 modules plus a 38 to 57 hour capstone deliverable. Most practitioners finish modules in 8 to 12 weeks at 4 to 6 hours per week, then submit the capstone for founder review.
Full access to all 16 modules, every template (account plan, qualification scorecard, multi-threading plan, executive deck, PoV charter, objection playbook), the capstone workspace, and founder review of the capstone for the first 100 cohorts.
Approved capstones earn the AI Sales and Solutions Engineering Mastery verifiable credential, signed with Ed25519 and embeddable on LinkedIn. The credential is renewable through one continuing-practice exercise per year.
Working LLM literacy as a user is enough. The course teaches you to talk to AI engineers credibly: RAG vs fine-tuning, foundation model economics, agent architectures, and evaluation frameworks. You do not need to write Python to pass.
The DecipherU Method, our proprietary synthesis grounded in primary sources: Aristotle's Rhetoric and Nicomachean Ethics for persuasion and practical wisdom, Cicero and Quintilian on argument structure, Mary Parker Follett's 1924 integrative negotiation work, Walton and McKersie's 1965 behavioral theory of labor negotiations, Carl Rogers's 1957 peer-reviewed work on empathic understanding, Cialdini, Vincent, Lewis, Catalan, Wheeler, and Darby (1975) on reciprocal concessions, Asch (1956) on social influence, and Festinger (1957) on cognitive dissonance. The course makes the synthesis explicit so practitioners know which discipline applies when, instead of presenting an eclectic house method.
Yes. Module 5 covers selling AI security and Module 11 covers procurement and legal for AI deals. Security review (with AI-specific gates) is treated as a deal stage, not an afterthought. AI-specific contractual posture, model risk indemnification, and AI Act compliance language are covered in the negotiation modules.
Yes. Fourteen-day full refund window from purchase. Email support@decipheru.com with your order number and we process the refund within 3 business days. After 14 days, refunds are evaluated case by case.
First cohort enrollment opens Q2 2026. Public reviews from completed practitioners will appear here once the first cohort finishes the capstone. Founder-reviewed capstones produce anonymized case studies (with explicit permission) for the top 10%.
Editorial markdown lessons paired with founder-recorded video, knowledge checks (5 to 10 questions per module, 80% pass), exercises with self-grading rubrics, role-play simulations with AI counterparties, and a multi-section capstone workspace with file uploads.
Cybersecurity Sales Mastery
The cybersecurity-specific sales playbook. Pair with AI Sales Mastery for the complete cybersecurity AI seller.
$497
AI Engineering Mastery
Build the technical depth to sell to AI engineers credibly. RAG, fine-tuning, evaluation frameworks.
$697
AI Security Operations Mastery
The cybersecurity-AI angle. Helps SE-track sellers run the security review on AI deals.
$697
Course content is for educational purposes only and does not constitute professional advice. All claims are supported by cited peer-reviewed academic research. DecipherU does not teach or reproduce any proprietary sales methodology. Verify all referenced sources independently.