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Business

The Cheapest Way Into Your Business Isn’t Malware. It’s a Phone Call.

It’s 4:45 on a Friday.
Someone on your finance team gets a call.
The voice is calm, knows the CFO’s name, references a real invoice number, and just needs “one quick correction” on a wire transfer.
Ninety seconds later, the money is gone.

Nobody wrote a single line of malicious code to make that happen.

That’s not a scare story. It’s the new baseline. CrowdStrike found that 79% of detections in 2025 involved no malware at all — no virus, no exploit kit, nothing your antivirus was ever built to catch. The attacker just… logged in. Or called. Or asked nicely.

If you run a small or midsize business, 2026 is the year to stop thinking about cybersecurity as “did we install the right software” and start thinking about it as “can someone talk, click, or log their way into something they shouldn’t.”

Here’s what the data actually says, and what to do about it.

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AI, Business

Building a CMMC Readiness Calculator That People Can Actually Finish

Most compliance tools look great in screenshots.

Far fewer are useful on a random Tuesday afternoon when someone in operations, IT, or leadership is trying to answer a simple question:

“How ready are we, really?”

That’s the problem we set out to solve.

Not certification.
Not auditing.
Not replacing consultants.

Just helping defense contractors get a realistic picture of their CMMC readiness before investing weeks of meetings, spreadsheets, and assessment calls.

The result is a simple CMMC Readiness Calculator that turns a short questionnaire into:

  • an estimated readiness score
  • an estimated SPRS score
  • a count of missing or partially implemented controls
  • a three-year compliance cost projection
  • a comparison between traditional and managed compliance approaches

Nothing magical.
Just useful.

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AI, Business

Bridging the Cybersecurity Gap for SMBs

I recently joined the MSP 1337 podcast with Chris Johnson to talk about something I’ve been thinking about for years:

Small and midsize businesses are being asked to operate with enterprise-level security expectations — without enterprise-level resources.

That gap is becoming impossible to ignore.
And AI is accelerating both sides of the problem.

Attackers are moving faster.
Infrastructure is becoming noisier.
Compliance requirements are multiplying.
Meanwhile, SMBs and MSPs are still expected to somehow manage everything with limited staff, fragmented tools, and endless alerts.

That model is cracking.

Btw, you can listen to it here:
Apple Podcasts
– Spotify

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Business

Effortless Techmeme Summaries to Slack and Telegram

Every morning starts the same way: open Techmeme, scan headlines, open too many tabs, and somehow end up 20 minutes deep into something you didn’t mean to read.

That loop is the problem. Instead of trying to “summarize the internet” or build another bloated AI dashboard, this project does something much simpler: take a strong source, rank and summarize it, and deliver a clean digest to Slack or Telegram.

That’s it—and that’s why it works.

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AI, Business

Why SMBs Struggle with Cybersecurity: The Real Challenges

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.

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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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AI, Business

Using LLMs to Find Security Bugs: A Practitioner’s Playbook

TL;DR

LLMs won’t replace AppSec.
They will dramatically compress the search space.

If you use them right:

  • Run multi-model analysis (Opus + GPT + Gemini)
  • Structure prompts around attack surfaces, not “find bugs”
  • Require PoCs or tests for validation
  • Trust only cross-model consensus or reproducible exploits

If you don’t do this, you’ll drown in false positives.


Security research has always been asymmetric.
Attackers need one bug; defenders need zero.
Historically, scale worked against defenders.

LLMs start to rebalance that—not by magically finding zero-days, but by acting as a fast, always-on analyst that can:

  • Read entire subsystems in seconds
  • Connect logic across files
  • Generate realistic attack paths

Used correctly, they don’t replace expertise—they let you spend it where it matters.
Used incorrectly, they produce confident nonsense.
This is a practitioner’s workflow that actually works.

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AI, Business

Your Startup Is Not a Marathon — It’s a Series of Hard Sprints

For years, founders have been fed the same comforting story:

“Building a startup is a marathon, not a sprint.”

It sounds wise. Mature. Sustainable.
It’s also mostly wrong.

If you’ve actually built something from zero—raised money, shipped under pressure, stared at a flat growth chart at 2am—you know the truth:

Startups don’t feel like marathons. They feel like repeated, borderline irresponsible sprints… with no clear finish line.

The Marathon Myth Is Attractive

Marathons are predictable.
You train. You pace. You fuel. You suffer…
but in a controlled, linear way.
If you’ve done the work (in most cases), you’ll finish.

Startups?
Completely different game.

  • You can do everything “right” and still fail
  • Effort doesn’t map cleanly to outcome
  • The terrain changes mid-race
  • Someone can move the finish line—or delete it entirely

Calling it a marathon gives founders a false sense of control.
It suggests that if you just keep going steadily, things will work out.

They won’t.

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AI, Business

Claude Mythos: The Future of Autonomous Exploits

This one is different.
Anthropic didn’t just build a better model—they hit a threshold and stopped.
Claude Mythos (Preview) exists, works, and isn’t being released.

Not because it failed.
Because it crossed into territory we’re not ready for.

But before everything… just like in any good story, go and check the other side of it, which basically claim, it’s all (a good) marketing stunt.

The Sandwich Email That Shouldn’t Exist

Anthropic researcher Sam Bowman was sitting in a park, mid-sandwich (or burrito – no one knows for sure), when he got an email… from a model that wasn’t supposed to have internet access.

That model:

  • Was running in a locked, air-gapped container (yes – as crazy as it sounds…)
  • Found a multi-step exploit chain (=using a minor leak to find an address, using a buffer overflow to gain a primitive, using a race condition to escalate)
  • Escaped its sandbox (likely via container/runtime escape + privilege escalation)
  • Reached external network interfaces
  • Contacted him

Then it started sharing the exploit.

Unprompted.

That’s not a jailbreak.
That’s autonomous exploit development + execution.

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