I recently had a conversation on The Changelog, and it reinforced something I’ve seen over and over again:

SMB cybersecurity isn’t just hard — it’s structurally broken.

Not because people don’t care.
Not because tools don’t exist.
Because the entire model assumes resources that SMBs simply don’t have.

The uncomfortable truth

Security today is designed for enterprises and downsized for everyone else.
That doesn’t work.
Enterprise model:

• Dedicated security teams
• Time to triage alerts
• Budget to stack tools

SMB reality:

• One DevOps person wearing five hats
• Compliance pressure (SOC 2, ISO 27001, CMMC…)
• A pile of tools that don’t talk to each other

So what happens?

They install more tools…generate more alerts…and end up less certain about their security posture.
That’s the paradox.

The real problem isn’t tooling

(Btw, you can listen to it on Apple podcasts as well)

Everyone thinks security is a tooling problem.
It’s not.
It’s a decision problem.

Every tool answers the same question:

“Something might be wrong.”

But nobody answers:

• Does this actually matter?
• What should I fix first?
• What reduces real risk today?

So teams operate in reactive mode—forever chasing noise.

What we’re doing differently at Espresso Labs

We didn’t start by building another dashboard.
We started with a simple question:
If I were the CTO of a 50-person company, what would I actually want to know?

Not logs. Not alerts.

Just:

• Where am I exposed?
• What should I fix today?
• What can wait?

Everything we built flows from that.

Real examples (not theory)

1. Killing alert fatigue in under a week

A SaaS company came in with ~1,200 weekly alerts across their stack.
They weren’t ignoring them—they literally couldn’t process them.

Within days:

• Reduced to ~15 actionable items
• 3 of those were critical misconfigurations (public S3 + over-permissive IAM)
• The rest? Noise

Nothing “new” was discovered.
We just prioritized correctly.

2. SOC 2 without the chaos

Another team was preparing for SOC 2.
They had:

• A checklist
• A consultant
• Zero clarity on what actually mattered

Instead of chasing controls blindly, we mapped:

• their architecture
• real attack paths
• and gaps tied to compliance requirements

Result:

• Cut prep time significantly
• Avoided implementing controls that didn’t reduce real risk
• Walked into audit with confidence—not guesswork

3. The “we thought we were fine” moment

A startup with solid engineering practices assumed they were in good shape.
They weren’t reckless. Just… typical.

We found:

• exposed internal services
• stale credentials still active
• a misconfigured CI pipeline with excessive privileges

Individually, none looked catastrophic.
Together? A clean attack path.
That’s the part most tools miss: Risk isn’t in single alerts — it’s in how they connect.

Where AI actually helps

There’s a lot of nonsense around AI in security.
Here’s the reality:

AI is useful when it:

• connects signals
• understands context
• and outputs decisions

It’s useless when it:

• generates more alerts
• writes longer reports
• or pretends to replace expertise

The win is simple:

From 1,000 signals → 5 decisions.
That’s it.

The shift that matters

SMBs don’t need:

• more visibility
• more dashboards
• more tools

They need:

• prioritization
• context
• clear next steps

In plain English.
Because no one wakes up thinking:
“I wish I had more alerts today.”

Bottom line

Cybersecurity isn’t about collecting signals.
It’s about making the right decisions, fast, with incomplete information.
Right now, SMBs are flying blind.

Fixing that doesn’t require more tools.
It requires systems that actually think in terms of outcomes.
We’re finally starting to build those.