The Uncomfortable Truth About Cyber Risk in 2026

Five things I'm seeing in the threat landscape that most security leaders aren't talking about enough.

Five things I'm seeing in the threat landscape that most security leaders aren't talking about enough.

I’ve been looking at threat data, regulatory updates, and claims patterns for the past few weeks. There’s a gap between what the industry is talking about and what’s actually happening on the ground. Here’s what’s keeping me up at night.

Your Vendors Are Softer Targets Than You Are

Third-party breaches doubled as a share of all incidents in 2025. Not up 10% or 20% — doubled. Attackers have figured out something many security teams still haven’t: it’s easier to compromise a vendor than a target directly.

The uncomfortable part? Most third-party risk programs I see are compliance theater. Questionnaires get filed, risk scores get calculated, and nothing changes. Meanwhile, your attack surface grows every time a vendor adds an integration, spins up a shadow cloud instance, or gets acquired by a company you’ve never heard of.

If you’re not continuously monitoring vendor domain exposure and certificate hygiene, you’re operating blind.

AI Social Engineering Crossed the Uncanny Valley

Remember when you could spot phishing by the grammar? Gone. Attackers are now deploying deepfake voice cloning, AI-generated phishing that adapts to your writing style, and real-time impersonation that fools trained security professionals.

A finance worker in Hong Kong transferred $25 million after a video call with what appeared to be the CFO. All AI-generated. The technology requires minimal technical skill now — open-source tools have democratized what was once state-actor territory.

Traditional security awareness training — once-a-year videos and simulated phishing — doesn’t work against adversaries who generate thousands of personalized lures in minutes.

The Regulatory Tsunami Is Actually Here

February 2026 was a watershed. NIS2 and DORA grace periods ended. The SEC’s cyber disclosure rules mean material incidents must be reported within four business days. DORA mandates 4-hour reporting for financial services.

Here’s what nobody admits: most organizations are approaching these regulations backwards. They’re retrofitting security documentation to satisfy auditors instead of building programs that naturally produce compliance evidence.

If you can’t show continuous monitoring, you can’t prove you’re compliant. Point-in-time assessments are dead.

Cyber Risk Quantification Is No Longer Optional

For years, security leaders struggled to answer the CEO’s question: “How much risk do we actually have, and what’s it worth?”

The FAIR model has moved from academic curiosity to enterprise standard. Boards want dollar-quantified risk exposure now. If you can’t translate vulnerability counts and threat intelligence into financial terms, you can’t prioritize investments or justify budgets.

The organizations winning at this aren’t necessarily spending more — they’re spending smarter because they know which risks actually matter.

You Have More Exposed Assets Than You Think

The average enterprise has thousands of exposed assets they don’t know about. Forgotten subdomains. Orphaned cloud instances. APIs that were supposed to be internal. Developer credentials in public repos.

Attackers use automated scanning tools that work 24/7. If you’re not finding your exposed infrastructure first, someone else is.

Shadow IT, merger integration, and rapid cloud adoption have created attack surfaces that sprawl beyond any single team’s visibility. You can’t protect what you can’t see.


What I’m Doing About This

At Resiliently.ai, we’re building tools that address these gaps directly — domain exposure monitoring, third-party risk visibility, and cyber risk quantification that speaks the language of business.

Because in 2026, the question isn’t whether you’ll face cyber risk. It’s whether you’ll see it coming.

And when security teams can’t see their own attack surface, underwriters can’t price it either. What remains after controls — residual risk — is where security and insurance intersect.


I write about cyber risk from the intersection of risk engineering and AI automation. These views are mine, not my employer’s.

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