Deborah McGinn

Applying B2C discipline — brand craft, influence, discoverability and measurement as one system — has become B2B's competitive edge. The book is presented as a modern playbook, not a checklist or rehash of familiar B2B tactics.

The post lays out the book's contents: a new way to treat brand as a performance engine; how SEO and AIO shape AI-driven discoverability; a framework for scaling influence across executives, employees and creators; an evolved media mix aimed at where attention actually lives; and models tying marketing to growth.

McGinn grounds the argument in "more than 20 years leading marketing across Fortune 100 brands, high-growth SaaS companies, and private-equity-backed transformations" and dedicates the book to former mentor Anton van Deth.

Read original

Brand is a performance engine, and proof of marketing's impact on growth is part of the same package: any brand programme is expected to show its return.

The book launch post promises "a new way to think about brand as a performance engine" and "models to measure what matters — and prove marketing's impact on growth."

Read original

Creators are one part of a wider influence system that includes a company's own people.

The book launch post promises "a practical framework for scaling influence across executives, employees & creators," and lists creator ecosystems among the systems that drive growth today.

Read original

The media mix, they argue, should follow buyers' attention rather than inherited channel habits.

The book explains "how SEO and AIO work together to shape AI-driven discoverability" and "how to evolve the media mix to reach buyers where attention actually lives."

Read original

In later posts, they describe an "agentic era" in which AI can identify and exploit vulnerabilities on its own, and argue that security teams need to change their approach, not just add tools. Secure Code Warrior CTO Matias Madou is credited with the technical analysis; McGinn frames the argument and puts a named technical executive in front of the audience.

A post sharing the CTO's article says AI coding tools each have their own "coding personality," shaping the code they write and the risks they introduce. It concludes that tailored risk strategies, sensible model choices and ongoing developer education help keep vulnerabilities in check.

The CMO announcement focuses on visibility into developer risk, guidance and training. Two later posts shift to agentic risk, describing AI as capable of finding and exploiting vulnerabilities unaided.

Read original · Original 2 · Original 3

The tribute to Anton van Deth recalls five years working side by side at Symantec, starting when McGinn was a new product marketing manager for Norton AntiVirus, as the foundation for the marketer and leader they became.

• It closes with van Deth's instruction to "be the bright light in the room" — inspire people and build them up.
• The CMO announcement echoes that priority, naming team culture as a deciding factor ahead of the product.

The tribute describes a relationship that lasted fifteen years, through job referrals, mutual mentoring of each other's talent, panel appearances and family milestones.

• It quotes van Deth: "a bad boss makes your dream job feel like a dead end.
• A great one will change your life."
• The CMO post calls the welcome "authentic, energizing, and deeply aligned with the kind of team I love building with."

Read original · Original 2

The requirements — end-to-end B2B campaign experience, Marketo and Salesforce, and day-to-day fluency with AI tools — point to a small, hands-on, tool-literate marketing function rather than an agency-brokered one.

The job post requires two or more years running B2B campaigns end to end, strong Marketo and Salesforce skills, and daily fluency with AI tools. Cybersecurity or developer-tools experience is preferred; the role is remote and full-time in the US.

Read original · Original 2

If you open only one item, make it this one: the rest follows from the book’s thesis.

McGinn announces the launch of Crossing the Divide: How B2C Thinking Is Transforming the Future of B2B Marketing and states its central claim plainly: B2B buyers do not think like businesses; they think like people.

• B2C discipline, the post argues, has become a competitive advantage in B2B.
• The book covers brand strategy, what the author calls influence architecture, SEO and AI-driven discoverability (written as SEO + AIO), demand creation, creator ecosystems and metrics tied to revenue.
• McGinn says it is not a rehash of traditional B2B tactics.
• They describe the background behind the book as more than 20 years leading marketing across Fortune 100 brands, high-growth SaaS companies and private-equity-backed transformations, and dedicate it to mentor Anton van Deth.

For brands planning a campaign

A brief that treats B2B marketing as a consumer-brand problem—bringing positioning, influence, discoverability and revenue measurement into one system—matches the framework McGinn has publicly committed to. Expect a proposal that starts with buyer behaviour, not channel tactics.

It also shows how they introduce a technical security category to a general audience.

McGinn announces joining Secure Code Warrior as Chief Marketing Officer.

• The post describes the platform as redefining how organisations manage developer risk: it brings visibility into where risk starts and pairs that with real-time guidance and training to help teams prevent vulnerabilities before code ships.
• It cites AI-accelerated development as the reason the problem is growing.
• McGinn also names a growth marketing hire joining at the same time and describes the team culture as a deciding factor in the move.

For brands planning a campaign

McGinn is a sitting CMO in the cybersecurity and developer-tools category, a factor to account for in any engagement. The post also shows the category language they use—developer risk, prevention before shipping and AI-accelerated development—which a campaign for that buyer should adopt.

This one lays out the work, tools and expectations, revealing more about McGinn’s operating model than a mission statement would.

The post recruits a campaign manager to run global demand generation programmes.

• McGinn defines it as a builder’s role: the hire defines campaign requirements, builds emails, landing pages and nurture flows, coordinates execution, and closes the loop with reporting people actually use.
• Requirements include two or more years running B2B campaigns end to end, working knowledge of Marketo and Salesforce, day-to-day fluency with AI tools, and preferably a cybersecurity or developer-tools background.
• The role is remote and full-time in the US.

For brands planning a campaign

For a fractional CMO or leadership engagement, this is the clearest evidence of how McGinn staffs and scopes demand generation: small, hands-on, stack-literate and reporting-driven rather than agency-brokered. A scope proposal should reflect that level of execution involvement.

It’s useful for assessing how they might build thought leadership for you.

McGinn shares a blog by Secure Code Warrior’s CTO, arguing that AI coding models are changing cybersecurity as they become capable of identifying and exploiting vulnerabilities on their own.

• The post concludes that security teams need to change their approach, not just add tools to the existing one.
• It is a distribution piece: a short framing paragraph pointing to the CTO’s longer article.

For brands planning a campaign

McGinn’s pattern is executive-authored technical content promoted by the marketing leader with a clear hook. A demand-gen proposal built around in-house technical voices rather than generic brand messaging would fit their demonstrated approach.

McGinn shares a piece by the Secure Code Warrior CTO arguing that AI coding tools each have their own coding personality, affecting how they write code and what security risks they introduce.

• The post says managing those risks depends on tailored strategies, sensible choices between AI models and ongoing developer education.
• Like the agentic-era post, it is a promotional summary linking to a longer article elsewhere.

For brands planning a campaign

McGinn’s content choices are specific and technical—model traits, risk strategies and developer education. A campaign promising general awareness in this category would likely be reworked around a narrow, defensible technical claim.

It is personal rather than promotional.

McGinn writes about the death of Anton van Deth, whom they describe as a friend and mentor.

• They recount working together at Symantec when McGinn was a new product marketing manager for Norton AntiVirus and van Deth was a returning global marketing lead.
• McGinn says five years working side by side built the foundation of the marketer and leader they are today.
• They quote van Deth: “a bad boss makes your dream job feel like a dead end and a great one will change your life.”
• The relationship continued for fifteen years through job referrals, panel appearances, mutual mentoring and family milestones.

For brands planning a campaign

McGinn publicly credits mentorship and people development with shaping their career, and writes about building teams in other posts. A brief covering team building, leadership development or talent brand alongside demand generation has a stated basis in their experience.

The announced contents range from brand strategy and influence architecture to SEO plus AIO, demand creation, creator ecosystems, and metrics tied to revenue.

For brands planning a campaign

For a positioning and demand-gen brief, expect a plan rooted in buyer behavior and consumer-grade brand craft, not a rerun of standard B2B channel tactics. Ask which two or three systems McGinn would prioritize first and what success looks like at 90 days.

Examples: Source 1

Measurement is part of the brand argument, not separate reporting.

For brands planning a campaign

Relevant when a campaign needs to prove marketing's contribution to growth. Expect brand and measurement work to be proposed together; ask which specific metrics McGinn would track in the first two quarters.

Examples: Source 1

The approach builds and scales influence across three groups rather than relying on one-off campaigns or paid placements.

Influence is organized as an architecture spanning three talent pools, not as a list of tactics.

For brands planning a campaign

Directly relevant to creator and influencer programs: McGinn would likely extend reach by activating internal executives and employees alongside external creators, rather than treating creators as a standalone channel. Ask how they would divide effort and budget across the three groups, and what each is expected to deliver.

Examples: Source 1

McGinn also says the book will avoid rehashing familiar traditional B2B tactics.

For brands planning a campaign

For work involving organic discoverability, expect AI answer surfaces to be treated as a distinct discipline alongside conventional SEO, with the media mix rebuilt around where attention sits rather than inherited channel habits. Ask for a concrete example of an AIO change McGinn would make in the first month.

Examples: Source 1

They also frame the shift as an "agentic era" in which AI can identify and exploit vulnerabilities on its own, changing how security teams plan.

The two security-analysis posts share work by McGinn's CTO. They show what McGinn chooses to endorse and how they frame it, rather than presenting their own technical analysis.

For brands planning a campaign

For a cybersecurity, developer-tools, or AI-security campaign, McGinn brings current buyer-side framing on developer risk and AI governance. The technical arguments in these posts come from her CTO, Matias Madou; ask to review the linked articles for the underlying analysis.

Examples: Source 1 · Source 2 · Source 3

Requirements include two or more years running B2B campaigns end to end, strong Marketo and Salesforce skills, and genuine day-to-day fluency with AI tools. Their CMO announcement also names a growth marketing lead hired alongside them.

For brands planning a campaign

Expect demand-gen plans built around hands-on execution and AI-assisted production rather than headcount-heavy processes. The named stack and emphasis on AI fluency offer useful criteria when scoping work or comparing candidates for the same campaign.

Examples: Source 1 · Source 2

They close with the instruction to "be the bright light in the room." Their CMO announcement likewise leads with culture and people, calling the team's welcome "authentic, energizing," before discussing product.

The tribute is personal reflection rather than marketing commentary, offering insight into values and network more than commercial method.

For brands planning a campaign

For interim leadership or team-building work, mentorship and culture are explicit priorities to discuss early with McGinn. The tribute also points to a professional network spanning decades, which matters when a campaign depends on introductions and referrals.

Examples: Source 1 · Source 2

No long-form essays, video transcripts, or thread-style teaching pieces appear.

For brands planning a campaign

McGinn's own channels offer concise, endorsement-driven posts rather than instructional content. A campaign built on long teaching pieces would need a different format, additional contributors, or another creator.

Examples: Source 1 · Source 2 · Source 3 · Source 4 · Source 5 · Source 6

Later posts come from inside the company: they recruit for a campaign manager on the global demand-generation team and share articles by “our CTO, Matias Madou” on AI coding and application security. The posts describe their role and the team’s work.

View example

They credit that period as the foundation of their marketing career.

View example

In posts on the Verizon DBIR and AI security models, he argues that the hard part is now triage, verification, and remediation—not simply finding flaws.

Slavin focuses on security operations and remediation infrastructure, including Cycode’s work. McGinn’s clearest recurring subject is marketing strategy; their security posts point readers to their CTO’s analysis.

Read original · Original 2

One post argues that hiring more CISOs alone cannot keep pace with AI-generated code; another describes agents collaborating to find and chain vulnerabilities. That overlaps with the agentic-security shift McGinn highlights in their Secure Code Warrior posts.

Geffen makes the security argument directly, while McGinn frames the issue and directs readers to their CTO’s technical perspective. McGinn also writes about B2B marketing, which is not the focus of these examples.

Read original · Original 2 · Original 3 · Original 4

His posts discuss a software supply-chain incident and make the case for treating AI output as a draft that needs human verification—useful practitioner-level context alongside McGinn’s security shares.

Abélard’s examples address technical workflows and practitioner experience; McGinn focuses on marketing leadership and the design of B2B marketing programs.

Read original · Original 2

The two posts read as a product operator arguing a market thesis in the open: cybersecurity hiring is booming, and CISO packages of $7-8M are becoming normal because AI writes more code with more vulnerabilities; hiring alone cannot keep up, and the defender's side needs the same step-change in capability the attacker's side just got.

• A second post walks through OpenAI's Black Hat talk, where AI agents collaborated through shared memory, chained exploits and found zero-days, and lands on the race to build autonomous defense.
• Both connect to what Novee Security is building, in the poster's own words.
• For a security company whose positioning problem is the AI-versus-AI arms race, and whose fractional mandate is to sharpen one operator's voice into a category argument, Geffen is closer to the work than a system-level marketing remit.

The posts show product-side thought leadership, not marketing leadership.

• Two posts on one thesis line produce no brand architecture, discovery or SEO/AIO plan, creator or influence model, or measurement approach.
• There is also no hiring or team post to show how a demand-generation function would be scoped or staffed.
• McGinn's book launch lays out that whole system in a single frame, from brand strategy to metrics tied to revenue.
• A company that needs the operating system rebuilt, rather than the category thesis sharpened, still wants them; Geffen is the better choice when the thesis is the deliverable.

Examples: Source 1 · Source 2

The posts work at the level of incidents and career mechanics: one week at the desk instead of Moscone, tracking the LiteLLM supply-chain compromise that came in through a dependency and harvested credentials, tied back to an earlier argument that security should be invisible — embedded, not bolted on — and to Snyk's Agent Security launch and Evo AI-SPM release at RSAC.

• Another post turns the use of AI tools into a four-point working method: treat output as a draft, know each tool's strengths, keep a human in the loop, and stay sceptical of pre-existing response patterns.
• For a developer-risk platform that needs playbooks, verification loops and clear rules for using AI output in a development workflow, that register is a better fit than general B2B marketing framing.

The posts are narrow and do not reach the marketing function.

• Two posts show one person's practitioner writing and a company's product news, with nothing about budget authority, campaign ownership, channel mix, hiring or proving marketing's impact on revenue.
• The posts promote Snyk, so a third-party campaign would raise the same conflict questions the profile raises for McGinn.
• The posts state no terms or disclosure; ask for those before commissioning a campaign.
• Abélard is the stronger voice inside a programme that someone else designs; where the need is positioning, demand generation and measurement as one system, McGinn's stated remit covers more ground.

Examples: Source 1 · Source 2

The two posts build a category argument rather than an offer: the 2026 Verizon DBIR showing vulnerability exploitation passing stolen credentials as the top initial access vector, median time-to-patch up 34%, and supply chain in 48% of breaches, read alongside Forrester's first Agentic Development Security Landscape.

• The proposed answer is autonomy on the defender side built on a context graph, an action layer where suggesting a fix and remediating a vulnerability are different operations, and trust controls that hold when the agent is wrong.
• A second post follows Anthropic's Fable5 and Claude Mythos 5 launches and concludes that the bottleneck has moved from discovery to remediation, with Cycode building against each.
• For a security company that needs to define the shift from scanners to remediation infrastructure, that is a more specific thesis than a general marketing system.

This is technical, product-led category content written from inside a company.

• The thesis is tightly bound to Cycode's position, so a company operating in a different slice of the market may find less of it transferable.
• It also assumes a buyer already fluent in DBIR findings and agent architecture.
• Where the mandate is the marketing operating system — brand as a performance engine, influence across executives, employees and creators, search working with AI-driven discoverability, and reporting tied to revenue — McGinn's book description names the whole system while Slavin's posts argue one hard problem in depth.
• They remain the better pick when the deliverable is the function, not the category claim.

Examples: Source 1 · Source 2