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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