The attack vectors that matter now (brand, executives, domains, deepfakes) do not touch the firewall, the endpoint, or the SIEM. They live in the space between the stack and the customer's trust. That space is the territory. Here is the campaign I would run against it, to make Doppel the standard for the AI-Native Social Engineering Defense Platform.
I saw this at Cloudflare with bad actors impersonating Bank sites at scale well before AI. None of it crossed a WAF or an endpoint. A cloned site on a lookalike domain harvests a member's credentials before a single packet reaches the real bank's edge.
Today the same chain runs on deepfake voice. The whole attack lands in a 6-minute call. The perimeter holds. The attack walks through trust, not packets.
I sold the perimeter to CISOs for years, so I know exactly where it ends. This is the first thing past it I would want to carry. But a category this new is not won on the product alone. It's won on the carefully crafted outbound and getting in front of the right exec while the pain is live.
I drive outbound like PLG at Cloudflare. Use the platform's own recon to walk in already knowing what they're losing to.
So that is what I built below: the campaign I would run.
A category this new is not won via RFP, and even less so via inbound until the problem is already too prevalent. Crisis compresses buying timelines, and the orgs that act before the crisis are the exception. Question I keep asking: how do you see the crisis before it accelerates? Trigger to watch for and be proactive to reach out within 72 hours. Strategically outbound while the pain is live.
I run scans like this against my own target list before any first call. The last line, signals correlated into campaigns and not isolated alerts, is the graph-driven advantage made visible.
Enable the platform to create its own opportunity. First move pointed at a prospect instead of an adversary. Doppel runs every threat through three stages, and each stage maps to a step in the sales cycle.
the opener. The stage that correlates a threat and its infrastructure across domains, social, ads, telco, dark web, and crypto is the same move I run pre-call to surface a prospect's live exposure. The findings are the reason they take the meeting. The graph is what makes it irrefutable: not one signal, but a connected campaign.
the qualifier. Volume, surfaces, who is being targeted, and the cross-channel graph tell me whether this is real budget or a nice-to-have, and which exec owns the pain. That read shapes who I bring into the room and what the first call is about.
the promise. The meeting lands on outcomes, not features: network comes down at machine speed, attack chains break before they reach contact, and analyst hours collapse from days to minutes. Time-to-takedown, analyst hours recovered, and deepfake-simulation belief rate are the numbers an exec signs against.
Doppel's wedge industry: high-value targets, regulatory pressure, direct fraud loss attribution. Existing logos here mean peer references and reference-call ammunition. OCC's Spring 2026 report on AI threats in banking gave every FinServ AE a clean "why now" opener. Compliance pressure is doing half the qualifying work for you.
User base moves funds, so fraud converts straight to cash. Neobanks, P2P payments. Loss is quantifiable.
Every AI-themed scam borrows a foundation model's logo. OpenAI is already a Doppel customer. Expand the wedge to the next tier and the model-marketplace layer.
Any company with heavy inbound support, especially over social and chat, is a target because scammers can pose as support and intercept. Fintech, telco, airlines, retail, anything with a help desk people DM.
Constant promotions and giveaways get cloned at scale. High volume, repeatable, fast to land.
Someone who can sell the idea before the market has language for it. That is how I have always sold: technically, and to the buyer in front of me. I did both at Cloudflare.
The threat landscape evolved with AI. So did I. I live in the AI stack now. I build my own agents with Claude Code and Openclaw, and being AI-native multiplies pipeline. That's the problem a new category has to solve early.
I've won key deals by building trust early, finding the right champion, and staying multi-threaded across stakeholders until the deal has its own momentum.
I sell the platform, not just the wedge. DRP gets us in. HRM and Email Security are where the expansion lives. Long deals come from accounts that consume all three, not just the wedge.
I'm looking to build in my next role, and help shape the winning playbook, not inherit one. I helped build a better Internet at Cloudflare. I would like to do it again, and help make Doppel the trust layer the modern internet runs on.
Does any of this track with how the team is hunting successfully? Where am I off?
contact: carl@neowave.ai :: linkedin.com/in/carlgarcia