How AI Is Turning Marketing into an Attack Surface

Why compliance doesn’t equal security, how AI is expanding external cyber risk, and how CISOs and CMOs can partner to reduce real-world risk

Most organizations feel more secure than they actually are, not because they’re careless, but because they’re compliant.

Across industries, companies are investing heavily in frameworks, controls, and audit readiness. They can point to policies, demonstrate coverage, and pass assessments. On paper, everything looks solid. In dashboards and boardrooms, progress is visible and defensible.

But breaches don’t happen on paper. They happen in how systems are configured, accessed, and used. And when you step back and look at where things actually break, a different picture emerges.

Compliance vs. Security: Controls vs. Real-World Effectiveness

Compliance plays an important role. It creates standards, establishes accountability, and provides a shared language for discussing risk. It gives organizations a way to structure complexity and demonstrate that the right controls are in place.

But it is fundamentally a point-in-time exercise. It answers the question: Do controls exist?

Security answers a different question entirely: Do those controls actually work under real-world conditions?

That distinction matters more than most organizations realize. Because security is continuous, operational, and shaped by how people interact with systems, it is inherently more difficult to measure—and easier to underinvest in.

Where Breaches Actually Occur

When you look at this data from Verizon and IBM, the gap becomes clear.

Top breach vectors:

• Misconfigurations: 28%

• Stolen credentials: 24%

• Third-party/vendor exposure: 18%

• Phishing/social engineering: 16%

• Unpatched vulnerabilities: 9%

• Insider threats: 5%

These are not failures of documentation. They are failures of execution: how systems are configured, accessed, and used in practice.

Now compare that to where compliance efforts tend to concentrate:

• Unpatched vulnerabilities: 75%

• Phishing: 55%

• Stolen credentials: 40%

• Third-party/vendor risk: 25%

• Misconfigurations: 20%

• Insider threats: 15%

The weighting is inverted. What is easiest to audit receives the most attention. What is most likely to break in real environments receives less.

This is not a failure of intent. It is a structural bias toward what is measurable, repeatable, and reportable.

AI-Driven Risk: Marketing Is Now Part of the Attack Surface

This gap is widening as AI expands the external attack surface.

AI-powered attacks are increasing in both volume and sophistication, but more importantly, they are changing how attacks work. Increasingly, attackers are borrowing marketing systems, and website and landing page cloning, paid acquisition, and social media-based fraud is on the rise.

Attackers can replicate a company’s digital presence with surprising accuracy - at scale - and stand up near-identical domains, and use Google Ads and SEO, and spoofed social media accounts to capture traffic from users who believe they are engaging with the real brand.

How marketing systems are being used against companies (real-world patterns):

• Paid search impersonation: A user clicks a seemingly legitimate Google ad for a well-known rental brand, prepays for a reservation, and only discovers at pickup that the transaction wasn’t with the brand. The scam works because it mirrors trusted signals: brand name, ad placement, familiar copy, and a polished landing page.

• Authority hijacking: Law firms invest in attorney profiles, SEO, and thought leadership to build trust and inbound demand. Attackers clone those sites and profiles, then redirect traffic and inquiries to their own channels, capturing high-intent leads at scale.

• Brand + support spoofing (social/AI-assisted): Fake “customer support” accounts and AI-generated chat/voice interactions impersonate brands across search and social. They reuse official messaging, FAQs, and tone to extract payments or credentials, often faster than the real brand can respond.

These attacks reuse the exact building blocks marketing teams spend years developing: SEO authority, paid search presence, content, and executive credibility.

Banking has role-played how to respond, and has spent years educating customers on fraud, clearly communicating what they will and will not do, and reinforcing those expectations across every touchpoint.

Marketing teams need to employ this same shift to protect trust in their brands.

CISOs & CMOs Need to Work Together

This is where the partnership between CISOs and CMOs becomes critical.

At its core, this is an education and adoption problem. Security teams define policies, controls, and acceptable levels of risk. But those controls only work if they are understood, adopted, and consistently applied.

Marketing teams specialize in translating complexity into clarity, driving awareness, reinforcing messages over time, and influencing behavior across large, distributed audiences. And can launch an internal campaign to change behavior.

At the same time, CMOs need to invite CISOs into their world and understand the marketing tactics to optimize for safety.

How CISOs and CMOs can work together in practice:

• Launch security like a product: Position new policies and tools clearly, onboard employees intentionally, and reinforce usage over time so adoption sticks.

• Translate risk into real workflows: Convert abstract policies into practical guidance tied to how employees actually do their jobs day to day.

• Coordinate internal channels: Align email, training, intranet, and leadership messaging into a consistent system that reinforces key behaviors, not one-off communications.

• Reinforce continuously, not periodically: Treat security as an ongoing campaign, not an annual training event.

• Align on external brand protection: Work together on domain monitoring, paid search governance, content usage, and executive visibility to reduce impersonation and misuse.

• Use marketing to drive behavior change: Apply segmentation, messaging, and repetition to influence safer behaviors across the organization.

The goal is simple: ensure that what is designed at a policy level actually holds up in

Get Marketing on the Bat Phone

Security is becoming more complex. AI is increasing the speed and creativity of attacks, external exposure is growing, and the gap between what is documented and what is happening continues to widen.

Most organizations will respond by adding more controls.

The better ones will recognize that the challenge is not just technical. It is operational and behavioral – and the CMO and CISO partnership creates a security advantage. 

FAQs

Why are companies getting breached even when they are compliant?

Companies get breached because compliance verifies documentation, not real-world performance. Most attacks exploit misconfigurations, stolen credentials, third-party exposure, and human behavior. These are operational failures, which means an organization can be fully compliant and still vulnerable.

How is AI changing cybersecurity risk for businesses?

AI is expanding cybersecurity risk by increasing the speed, scale, and realism of attacks. It enables attackers to clone websites, generate convincing content, and impersonate brands across search, social, and email. This shifts risk outward and makes external attack surfaces harder to defend.

How are attackers using marketing assets to impersonate companies?

Attackers are using marketing assets to impersonate companies by cloning websites, copying SEO content, replicating paid ads, and mimicking executive profiles. These assets create trust signals that make fraudulent experiences feel legitimate, allowing attackers to capture leads, payments, and credentials.

What cybersecurity risks are companies underestimating today?

Companies are underestimating risks tied to execution and behavior, including misconfigurations, vendor exposure, and credential misuse. At the same time, they over-focus on areas that are easier to audit. This creates a gap between perceived security and actual exposure.

How can companies actually change employee behavior around cybersecurity?

Companies change cybersecurity behavior the same way they drive adoption of any system: through clear messaging, repetition, and reinforcement over time. One-time training is not enough. This is where CMOs play a critical role, applying marketing strategies like segmentation, consistent messaging, and multi-channel reinforcement to ensure security practices are understood and followed across the organization.