Salem Cyber

Name: Trevor Gingras
Company: Salem Cyber
Email: [email protected]

Salem Cyber Logo

Jon Bagg, CEO: ~10 years in Cyber serving large enterprises

Trevor Gingras, COO: ~11 years growing companies, leading businesses, & MBA

Key Advisors/Board Members

Tony Gaidhane: Cyber Vendor Exec. serving same target market

Ed Bellis: Exited Cyber Entrepreneur w/ similar story

Enoch Long: Cyber Team Leader at archetypal enterprise target

Bill Barnes: Cyber Team Leader at archetypal enterprise target

Steve Greenbacker: Cyber Vendor Exec. serving same target market

Kate Hartshorn: Cyber Legal Exec.

Nick Harrison: Marketing Leader

Bob Gingras: B2B Sales Leader

Tony DiBianca: Exited Technology Entrepreneur (Winston Starts mentor)



Year Founded


Number of Employees

6 FTEs: 4 employees + 2 contractors

Current Investors

Bootstrapped + $250K family & friend round in May 2022

Monthly Burn Rate


Financing Sought


Use of Funds

54% Product Development
12% Commercial
7% Operations / Other
3% Existing Debt
24% Buffer for Future Decisions

Business Description

Salem Cyber represents business model innovation for cybersecurity operations.

We build software that helps enterprise cybersecurity teams detect more threats.

Company Background

As a cybersecurity analyst & engineer, Jon experienced the problem first-hand and found no traditional business model nor technology effectively solved the problem.

He had an idea for a novel approach to solving the problem and created Salem Cyber to bring the idea to life.


Cybersecurity has an effectiveness problem – despite $300B+ in annual global cyber spend, cyber teams only have the resources to investigate critical cyber alerts with the remainder (90%+) going uninvestigated and deemed ‘noise’.

Hackers know this and threats can hide in the noise.

Current approaches do not solve the problem:

  1. resource increases only increase capacity linearly and resources are constrained

  2. outsourcing to Managed Security Service Providers (MSSPs) only shifts the problem elsewhere

  3. big data only finds pattern-breaking anomalies and lack local context


Our product, Salem, automatically reviews and prioritizes cyber alerts.

Salem investigates all alerts, including the noise, escalating the more relevant threats to a client’s cyber team.

We improve cyber teams’ effectiveness by increasing alert coverage and enabling their time to be used more efficiently.

Technologies/Special Know-how

Salem uses machine learning techniques to scale the impact of human knowledge.

Our seasoned cybersecurity analysts train Salem centrally on industry threat context.

Salem learns institutional context directly from a client’s cybersecurity team, documenting the oral history in a structured way for the 1st time.

Salem applies this context at machine scale, investigating a practically unlimited number of alerts.


Cybersecurity is a massive ($300B+ global spend) and growing (13%+ CAGR to ’27) market.

The problem we’re solving is pervasive across industry, geography, company size, and organizational cyber maturity.

We are first targeting US-based enterprises (or their MSSPs) with a focus on healthcare, financial services, and retail firms with locally based teams.


Established cyber tech players with access to more data and resources could replicate our ‘investigate every alert’ approach. However, they typically view data as the sole answer. We view institutional context as being critical too, and that context resides with humans.

We expect more direct competition in time, so we’re focused on continuing to quickly develop a high-fidelity product with strong evidence of solving the problem.

Business Model and Distribution Channels

We sell directly to enterprises and MSSPs.

We have secured 2 enterprise pilots (a Fortune 100 firm and a Forbes 2000 firm) and are closing one with an MSSP soon.

Cybersecurity is highly community-driven, so we use direct sales (founder-led), partnerships (e.g., Microsoft), and community tools to drive referral network effects and connect with new targets.

We offer subscription and usage-based pricing models to meet various customer use cases.