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AI, Business

SMB Cybersecurity Is Broken — Here’s What We’re Doing About It

SMB cybersecurity is a mess. Yes – It’s 2026 and it’s broken. Big time.

Too many tools.
Too many dashboards.
Too many alerts that nobody has time—or context—to act on.

And the result?
A false sense of security.

You can have RMM, MDM, EDR, SIEM, compliance tools… and still be exposed. Not because the tools are bad—but because the system is unworkable for the people actually running it.

Most small and mid-sized businesses don’t have a SOC.
They don’t have a dedicated security team.
They don’t have time to interpret 300 alerts a day.

What they have is:

  • An overstretched IT person (or MSP or the owner that is busy with 127 other things that are all urgent)
  • A growing attack surface
  • And a stack of tools that don’t talk to each other

That’s the real gap.

A Quick Look

We recently shared a glimpse of what we’re building here:

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Business

Why CPA Firms in 2026 Must Operate as Security-First Organizations

Most CPA firms still treat cybersecurity as an IT issue.
It isn’t.

It’s liability exposure. It’s brand risk. It’s client trust. And in 2026, it’s table stakes. If you run a CPA firm and you’re not operating like a security-first organization, you’re exposed.
Not theoretically.
Operationally.

Here’s the uncomfortable reality.

You are a high-value target

You don’t just hold sensitive data.
You aggregate it.

Tax returns. Social Security numbers. Bank accounts. Payroll records. Entity structures. Ownership data.
To an attacker, that’s a concentrated vault of monetizable information.

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AI, Business

Why Claude’s Code Security Offering Doesn’t Replace Real SMB Cybersecurity

There’s been a lot of noise lately about AI (=Claude Code Security) replacing large chunks of cybersecurity.

Let’s slow down and separate what AI is actually good at from what actually keeps small and mid-sized businesses safe.

AI tools that scan code?
Impressive.

AI that reads configs and flags obvious misconfigurations?
Useful.

AI that can reason over static artifacts and suggest fixes?
Absolutely real progress.

But here’s the uncomfortable truth: most SMBs are not losing sleep over static code scanning.

They’re losing sleep over this:

  • “Why did our Microsoft 365 tenant just send 8,000 phishing emails?”
  • “Why is our bookkeeper’s laptop beaconing to an IP in Eastern Europe?”
  • “Why did our backup silently fail for 12 days?”
  • “Why did we pass compliance last quarter and now suddenly we don’t?”

That’s where EspressoLabs lives.

LLMs are extraordinary pattern recognizers.
They are very good at analyzing text, code, logs — when you give them the data in a clean, structured way. But SMB security isn’t clean. It’s messy, inconsistent, human, political, and operational.

EspressoLabs provides value in places LLMs simply cannot operate — at least not yet:

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