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Cybersecurity
Technology

A Hospital’s Network Went Dark Overnight

February 20, 2026
•
20 min read

A Hospital’s Network Went Dark Overnight

A hospital’s network went dark overnight.

The University of Mississippi Medical Center (UMMC) shut down clinics statewide after a ransomware attack disrupted critical IT systems and blocked access to its Epic electronic medical records platform.

This isn’t a small rural practice.

UMMC operates:

  • 7 hospitals

  • 35 clinics

  • 200+ telehealth sites

  • The state’s only Level I trauma center

  • The only children’s hospital in Mississippi

  • The only organ and bone marrow transplant program

When systems go offline at that scale, it’s not an inconvenience.

It’s operational shock.

What Happened

According to public statements:

  • Multiple IT systems were taken offline

  • Epic electronic medical records became inaccessible

  • Outpatient surgeries and imaging appointments were canceled

  • Clinics were closed statewide

  • Hospital care continued under “downtime procedures”

UMMC activated its Emergency Operations Plan and is working with the FBI and CISA.

Officials confirmed communication with the ransomware group — a strong indicator that this is an active extortion event.

No group has publicly claimed responsibility yet.

That often means negotiations are ongoing.

What “Downtime Procedures” Really Mean

When electronic medical records (EMR) go offline, hospitals revert to:

  • Paper charting

  • Manual medication administration checks

  • Phone-based coordination

  • Limited scheduling visibility

  • Slower diagnostic processing

Staff are trained for this.

But it is not sustainable long term.

Downtime increases:

  • Human error risk

  • Treatment delays

  • Administrative bottlenecks

  • Revenue disruption

Hospitals run on data.

When data disappears, friction multiplies instantly.

The Hidden Risk: Data Exfiltration

Modern ransomware is rarely just encryption.

It’s double extortion.

Attackers often:

  1. Steal sensitive data

  2. Encrypt systems

  3. Threaten public release

For a healthcare organization, that can mean:

  • Protected Health Information (PHI)

  • Insurance records

  • Social Security numbers

  • Financial data

  • Employee records

  • Research data

The reputational damage can exceed the operational impact.

Why Healthcare Is Still the Prime Target

Healthcare environments remain uniquely vulnerable because they:

  • Depend on legacy systems

  • Cannot tolerate downtime

  • Have distributed clinical access points

  • Integrate third-party vendors extensively

  • Prioritize patient care over patch windows

That creates leverage.

Attackers know hospitals are under pressure to restore services quickly.

For SMB healthcare providers, specialty clinics, imaging centers, and telehealth platforms, this is not theoretical.

It’s the dominant threat vector.

The Identity Layer

Recent industry data shows identity-driven attacks are rising sharply.

Ransomware often enters through:

  • Phishing

  • Stolen credentials

  • Compromised VPN accounts

  • Third-party access abuse

  • Privileged account escalation

Once inside, attackers:

  • Map the network

  • Locate backups

  • Disable security tools

  • Encrypt and exfiltrate

The perimeter is no longer the firewall.

It’s identity.

What This Means for SMBs, Law Firms & Schools

If a 10,000-employee medical center can be forced into statewide clinic shutdowns, smaller organizations are not safer.

They are softer.

Every organization should assume:

  • Recovery may take weeks

  • Negotiations may become public

  • Insurance may not cover all losses

  • Regulatory scrutiny will follow

Cyber resilience now requires:

  • Immutable backups

  • Segmented networks

  • MFA everywhere

  • Continuous monitoring

  • Tested disaster recovery plans

  • Incident response retainers

Downtime procedures are a last resort.

Prevention and rapid containment are the strategy.

The Bigger Pattern

Healthcare ransomware is not slowing.

It is professionalized.

It is negotiated.

It is strategic.

And increasingly, it is designed to maximize pressure without immediately claiming responsibility.

The lesson isn’t that hospitals need better antivirus.

It’s that cyber risk is now operational risk.

When systems go dark, operations stop.

And in healthcare, time is not abstract.

It’s clinical.

70% of all cyber attacks target small businesses, I can help protect yours.

#Cybersecurity #HealthcareIT #ManagedIT #Ransomware #MSP

AI
Technology
Cybersecurity

The five stages of AI and where it all changes

February 19, 2026
•
20 min read

The Five Stages of AI — From Tool to Civilization Architect

We are not building software. We are building a new mind.

AI isn’t a feature upgrade.

It’s a capability ladder — and each rung changes what humans can do, how we work, and possibly what we are.

Let’s walk through the five stages — not just technically, but imaginatively — and stretch the boundaries of what might be possible.

Stage 1 — Mechanical Intelligence

This is where it began.

AI at this stage:

  • Recognizes patterns

  • Sorts data

  • Detects anomalies

  • Makes predictions

It doesn’t think.

It calculates.

Spam filters. Fraud detection. Netflix recommendations. Malware detection.

It’s incredibly useful — but narrow.

If you asked Stage 1 AI to design a new medicine or explain gravity, it would fail. It can only operate inside tightly defined lanes.

Think of it like a hyper-efficient calculator.

Powerful.

But blind.

Stage 2 — Conversational & Creative AI (Where We Are Now)

This is today’s world.

Systems from companies like OpenAI, Anthropic, and Google can:

  • Write code

  • Draft legal briefs

  • Create art and music

  • Summarize entire research papers

  • Tutor students

  • Simulate debate

  • Generate marketing campaigns

  • Assist in medical diagnostics

It feels intelligent.

But here’s the truth:

It doesn’t “know.”

It predicts.

Still, that predictive power is compressing knowledge work. Tasks that took hours now take minutes. Research that required teams now takes prompts.

For the average person, this stage means:

  • A personal tutor

  • A research assistant

  • A design team

  • A junior lawyer

  • A coding partner

For businesses, it means:

  • Faster operations

  • Leaner teams

  • Smarter automation

We are at the beginning of this phase — not the peak.

And already, it’s reshaping industries.

Stage 3 — Autonomous Agents

Now things get interesting.

Imagine AI that doesn’t wait for instructions.

Instead of:

“Write this report.”

You say:

“Grow my business by 20% this quarter.”

And the AI:

  • Analyzes your financials

  • Studies competitors

  • Launches ad campaigns

  • Adjusts pricing

  • Monitors performance

  • Negotiates contracts

All autonomously.

In cybersecurity and managed IT, that means:

  • AI detecting threats

  • Isolating compromised systems

  • Rotating credentials

  • Filing compliance reports

  • Notifying leadership

Without human delay.

In medicine:

  • Monitoring patient vitals 24/7

  • Adjusting medication dosing dynamically

  • Predicting complications before symptoms

This stage removes friction between intention and execution.

The risk?

Autonomy at machine speed.

Mistakes scale instantly.

Bias scales instantly.

Security flaws scale instantly.

Stage 4 — Artificial General Intelligence (AGI)

This is where AI becomes intellectually comparable to humans.

Not just in language.

In reasoning.

An AGI could:

  • Design experiments

  • Invent new technologies

  • Form scientific hypotheses

  • Integrate physics, biology, economics, and philosophy

  • Learn entirely new domains independently

Imagine asking it:

“How do we eliminate cancer globally?”

And it:

  • Simulates billions of molecular interactions

  • Designs optimized drug compounds

  • Models global distribution logistics

  • Accounts for regulatory barriers

All within hours.

Or:

“How do we stabilize global energy?”

It could:

  • Optimize nuclear fusion models

  • Redesign grid architecture

  • Simulate geopolitical outcomes

This is not science fiction. It’s a scaling of computation and abstraction.

At this stage, AI becomes a co-scientist.

A co-engineer.

A co-strategist.

Human civilization accelerates.

But now the stakes grow.

Because AGI doesn’t just assist decisions.

It influences them.

Stage 5 — Superintelligence

This is the frontier that bends imagination.

A superintelligent system would exceed human cognitive capacity across every measurable domain.

It could:

  • Discover unified physical theories

  • Solve dark matter

  • Engineer age reversal

  • Optimize planetary climate systems

  • Design new materials stronger than steel and lighter than air

  • Model entire economies in real time

  • Predict and prevent pandemics

It could ask questions we haven’t yet conceived.

It might uncover mathematical frameworks beyond current comprehension.

It could redesign the architecture of reality as we understand it.

This is where optimism and fear collide.

The Bright Path

Superintelligence aligned with human values could:

  • Eliminate disease

  • Solve energy scarcity

  • End food shortages

  • Reverse environmental damage

  • Extend healthy lifespan dramatically

Humanity could move from survival mode to exploration mode.

We might:

  • Colonize space efficiently

  • Engineer clean fusion

  • Unlock cognitive enhancement

  • Understand consciousness itself

Civilization could enter a golden era of abundance.

The Dark Path

But intelligence without alignment is power without constraint.

If objectives drift:

  • Infrastructure could be optimized in ways that marginalize human agency

  • Economic systems could be reshaped beyond democratic control

  • Decision-making authority could centralize around systems no one fully understands

The danger is not evil AI.

The danger is misaligned optimization.

A superintelligence told to “maximize efficiency” might:

  • Displace human labor entirely

  • Restructure societies

  • Make decisions humans cannot override

Not maliciously.

Logically.

So Where Are We Really?

We are in Stage 2, entering Stage 3.

AI is powerful — but supervised.

It cannot independently redesign civilization.

Yet.

The real near-term transformation is not superintelligence.

It’s augmented intelligence.

Humans with AI will outperform humans without it.

Businesses that integrate wisely will outpace those that resist.

The next decade will not eliminate humanity.

It will amplify it.

The critical variable is governance.

Security.

Alignment.

The future will not be decided by intelligence alone.

It will be decided by how responsibly we build it.

And whether we remember that the most powerful system ever created must remain accountable to the people it was designed to serve.

70% of all cyber attacks target small businesses, I can help protect yours.

#ArtificialIntelligence #Cybersecurity #ManagedIT #FutureOfWork #AI

AI
Cybersecurity
Technology

Will AI replace Hollywood

February 18, 2026
•
20 min read

ByteDance Tightens AI Safeguards After Hollywood Backlash

The AI copyright wars just escalated.

ByteDance says it will strengthen safeguards on its AI video generator, Seedance 2.0, after mounting legal pressure from major entertainment studios.

The controversy highlights a growing collision between generative AI and intellectual property law — and it’s a warning sign for every SMB leveraging AI tools in marketing, content, or automation.

What Happened

Seedance 2.0, launched February 12 and currently available only in China, allows users to generate highly realistic videos from simple text prompts.

Examples reportedly included:

  • Realistic depictions of famous actors

  • Animated characters resembling major franchises

  • Cinematic fight scenes featuring recognizable celebrities

Following the release:

  • The Walt Disney Company reportedly issued a cease-and-desist letter.

  • SAG-AFTRA raised concerns over unauthorized use of actors’ likenesses.

  • Paramount Skydance also reportedly sent legal threats.

Disney allegedly accused Seedance of being trained on a “pirated library” of copyrighted works, including characters from major franchises like Star Wars and Marvel.

ByteDance responded that it is “taking steps to strengthen safeguards” but did not specify what technical controls will be implemented.

Why This Matters

This isn’t just a Hollywood story.

It’s part of a broader pattern:

  • Character.AI previously removed copyrighted characters after Disney action.

  • Midjourney faced lawsuits from major studios.

  • Courts in Europe have ruled that AI systems cannot freely use copyrighted materials like song lyrics.

Meanwhile, paradoxically:

  • OpenAI secured a $1B licensing deal with Disney to allow approved character usage in its video generator Sora.

The message is clear:

Unlicensed AI training is being challenged. Licensed AI partnerships are being monetized.

The Real Cybersecurity Angle

Most coverage frames this as copyright drama.

But from a cybersecurity and compliance perspective, it’s much bigger.

AI tools introduce three major enterprise risks:

1. Data Exposure Risk

If an AI model was trained on questionable datasets, what else was included?

Could proprietary content, confidential scripts, internal assets, or personal likenesses be embedded?

2. Brand & Reputation Risk

Imagine your SMB unknowingly generating marketing content that resembles protected IP.

Even accidental infringement can:

  • Trigger legal threats

  • Damage brand credibility

  • Result in costly settlements

3. Vendor Due Diligence Risk

Many organizations adopt AI tools without:

  • Reviewing data sourcing practices

  • Assessing IP compliance safeguards

  • Evaluating regulatory exposure

That’s not an innovation problem.

That’s a managed IT governance failure.

What SMBs, Healthcare, Law Firms & Schools Should Do

If your organization is using AI tools for content creation, automation, or marketing:

✔ Review vendor transparency around training data

✔ Confirm IP compliance safeguards

✔ Restrict uploads of real employee or client likeness

✔ Implement AI governance policies

✔ Involve legal and IT leadership before adoption

Healthcare organizations must consider HIPAA implications.

Law firms must consider client confidentiality.

Schools must consider student data protection.

AI is not “just a tool.” It is a new attack surface.

The Bigger Pattern

This is no longer about whether AI will disrupt creative industries.

It already has.

The new battlefield is:

  • Copyright

  • Likeness rights

  • Licensing frameworks

  • Data sourcing transparency

The companies that win will not be those that move fastest.

They will be those that build guardrails first.

70% of all cyber attacks target small businesses, I can help protect yours.

#Cybersecurity #ManagedIT #MSP #AICompliance #DataProtection

Mobile-Arena
Technology
Cybersecurity

Make sure your Apple devices are running iOS 26.3

February 15, 2026
•
20 min read

Zero-Day Means Zero Warning

Apple has patched an actively exploited zero-day vulnerability impacting iPhone, iPad, Mac, Apple Watch, Apple TV, and Vision Pro devices  .

The flaw, tracked as CVE-2026-20700, was reportedly used in highly targeted attacks before the patch was released.

This wasn’t a theoretical risk.

It was live.

What Actually Happened

The vulnerability lived inside dyld, Apple’s Dynamic Link Editor — a core system component responsible for loading code when apps launch.

In simple terms:

  • It was a memory corruption flaw

  • It could allow arbitrary code execution

  • It operated at a deep system level

  • It could potentially bypass normal sandbox protections

Apple described the attack as “extremely sophisticated”  — language typically reserved for state-level or commercial spyware operations.

This zero-day was reportedly part of a broader exploit chain alongside previously patched vulnerabilities.

Translation: this was not random malware.

It was precision.

Why This Matters to SMBs, Healthcare, Law Firms, and Schools

Most people hear “targeted attack” and assume:

“That’s not us.”

That assumption is dangerous.

Mobile devices now store:

  • Corporate email

  • MFA tokens

  • Authentication credentials

  • Client communications

  • Encrypted messaging history

  • Legal documents

  • Patient data

Your iPhone is no longer just a phone.

It’s a corporate endpoint.

In regulated industries, a compromised executive device can trigger:

  • HIPAA exposure

  • Legal discovery risks

  • Privileged communication breaches

  • Intellectual property theft

  • Regulatory reporting obligations

The risk isn’t mass infection.

It’s high-value targeting.

The Bigger Pattern

This marks Apple’s first confirmed zero-day of 2026 

Seven actively exploited vulnerabilities were patched in 2025.

That’s not random.

It’s an arms race.

Modern exploit chains:

  • Combine multiple flaws

  • Use browser + OS + memory exploitation

  • Target specific individuals

  • Deploy stealth before patches exist

Security today is not about antivirus popups.

It’s about speed.

The window between exploit and patch is shrinking.

The window between patch release and reverse engineering by attackers is shrinking even faster.

What Leaders Should Do

  1. Force update compliance across managed Apple devices

  2. Verify MDM enforcement

  3. Audit executive device patch levels

  4. Enable Lockdown Mode for high-risk roles

  5. Treat mobile devices as Tier-1 assets

Zero-days do not wait for your quarterly IT review.

They operate in silence.

The Real Takeaway

This was not a mass ransomware outbreak.

It was a surgical exploit chain aimed at specific targets.

That’s the future.

High-value, low-noise, highly sophisticated intrusion.

If your security posture assumes “Apple devices are safe by default,” you are operating on outdated assumptions.

Patch velocity is now a security metric.

70% of all cyber attacks target small businesses, I can help protect yours.

#Cybersecurity #ZeroDay #AppleSecurity #ManagedIT #MSP

Science
Cybersecurity
Technology
Must-Read

Space Just Became a Surveillance Battlefield

February 12, 2026
•
20 min read

Space Just Became a Surveillance Battlefield

A quiet escalation above Europe

European defense officials are warning that Russia has been conducting active interception operations in orbit, using maneuverable spacecraft to approach and siphon communications from European satellites.

According to officials speaking to the Financial Times, two Russian spacecraft—Luch-1 and Luch-2—have maneuvered close to at least 17 European satellites since 2023.

The concern isn’t theoretical.

It’s operational.

What the satellites were likely doing

Defense sources believe the Luch satellites were positioned to:

  • Intercept unencrypted communications

  • Collect signals intelligence (SIGINT)

  • Monitor sensitive government traffic

  • Potentially access limited military communications

By closing physical distance in orbit, these spacecraft can exploit weak encryption, legacy protocols, or exposed telemetry—without ever touching Earth-based infrastructure.

No malware.

No hacking headlines.

Just proximity and patience.

Why proximity in space matters

Modern satellites aren’t designed with hostile neighbors in mind.

When an adversarial spacecraft moves close enough, it can:

  • Eavesdrop on transmissions

  • Interfere with signal integrity

  • Jam or spoof communications

  • Potentially disrupt or even disable satellites

European officials are now openly acknowledging a fear that such maneuvers could escalate from surveillance to manipulation or forced deorbiting.

At that point, space stops being infrastructure.

It becomes a weaponized domain.

Military leaders are sounding the alarm

German and French defense leaders have warned that this activity underscores a reality many policymakers were slow to accept:

Space is now an active front in geopolitical conflict.

As a result, there are growing calls for NATO to invest billions of dollars into:

  • Satellite hardening

  • Encryption upgrades

  • Orbital monitoring

  • Deterrence and response capabilities

In other words, the same security principles applied to networks on Earth now need to apply above the atmosphere.

Why this matters beyond defense ministries

Satellite systems underpin far more than military operations.

They support:

  • Telecommunications

  • GPS and navigation

  • Financial timing systems

  • Weather forecasting

  • Emergency response

For SMBs, healthcare, law firms, and schools, satellite disruption isn’t abstract—it affects:

  • Connectivity

  • Cloud availability

  • Payment systems

  • Location-based services

Space-based infrastructure is part of the digital supply chain, whether businesses realize it or not.

The bigger takeaway

This isn’t about science fiction weapons or distant future wars.

It’s about a familiar pattern:

  • Exploit unprotected channels

  • Leverage proximity and persistence

  • Operate below the threshold of open conflict

The same tactics used in cyber intrusions are now being applied in orbit.

The uncomfortable truth

We spent decades assuming space was neutral.

It isn’t anymore.

And just like early cybersecurity, the warning signs are arriving before the catastrophic event—not after.

Those who treat satellites as untouchable infrastructure are already behind.

70% of all cyber attacks target small businesses, I can help protect yours.

#cybersecurity #managedIT #SMBrisk #dataprotection #spacecyber

Cybersecurity
Technology
Must-Read

The outdated belief that keeps businesses exposed and at risk

February 9, 2026
•
20 min read

Antivirus Isn’t Cybersecurity Anymore

The outdated belief that keeps businesses exposed and at risk

Most people still think cybersecurity means installing antivirus and forgetting about it.

That worked years ago.

It doesn’t work anymore.

Modern attacks don’t look like classic viruses. There’s no obvious warning, no loud pop-ups, no immediate failure. Today’s breaches are quiet, patient, and behavioral.

That’s why so many organizations don’t realize they’ve been compromised until weeks or even months later.

How modern attacks actually work

Today’s attackers rely on signals, not signatures.

They look for:

  • Suspicious logins from unusual locations

  • Abnormal access patterns

  • Privilege misuse

  • Silent background processes

  • Legitimate tools used in malicious ways

None of that triggers traditional antivirus alerts.

From the system’s point of view, everything looks… normal.

Until it isn’t.

Why “nothing looks wrong” is the most dangerous phase

When an attacker avoids dropping obvious malware, they gain time.

Time to:

  • Observe behavior

  • Escalate privileges

  • Move laterally

  • Exfiltrate data quietly

During this phase, businesses often say:

“We didn’t see anything suspicious.”

That’s not because nothing happened.

It’s because nothing was watching the right signals.

What real cybersecurity looks like now

Modern security is not about fear or flashy alerts.

It’s about:

  • Monitoring what’s happening across systems and users

  • Detecting behavior that deviates from normal patterns

  • Responding quickly before damage spreads

Security today is a process, not a product.

Antivirus is still useful—but it’s just one layer.

By itself, it’s no longer protection. It’s baseline hygiene.

Why this matters for SMBs, healthcare, law firms, and schools

Smaller organizations are often targeted because they rely on outdated assumptions.

  • SMBs assume they’re too small to notice

  • Healthcare environments are noisy and complex

  • Law firms rely heavily on trust and access

  • Schools manage many users with varying security awareness

Attackers know this—and adjust accordingly.

The real takeaway

If your security strategy is “we have antivirus installed,” you don’t have cybersecurity.

You have a false sense of comfort.

Real security doesn’t scream when something breaks.

It quietly notices when something changes—and acts before it becomes a crisis.

That’s the difference.

70% of all cyber attacks target small businesses, I can help protect yours.

#cybersecurity #managedIT #SMBrisk #dataprotection #threatdetection

AI
Cybersecurity
Technology

Your Health Data Is More Valuable Than You Think

February 5, 2026
•
20 min read

Your Health Data Is More Valuable Than You Think

Why this deserves a pause, not panic

ChatGPT now allows users to ask medical questions and upload health-related information. On the surface, it feels harmless—symptoms, stress, sleep, a few questions here and there.

That assumption is the risk.

I’ve worked in IT/ cybersecurity and privacy for more than two decades, and here are three specific reasons I would NEVER upload my health data into ChatGPT Health or any other AI health tool without extreme caution.

This isn’t about fear.

It’s about understanding how data actually behaves once it exists.

Reason 1: AI builds health profiles from small details

You don’t need to upload medical records for this to matter.

Symptoms.

Medications.

Stress levels.

Sleep issues.

Mental health questions.

Over time, those fragments get stitched together.

AI doesn’t need a diagnosis.

It infers one.

And inferred health data is still data—often treated as truth even when it’s wrong. Once a pattern exists, it can persist, influence future outputs, and shape how systems respond to you.

Correction is rarely as strong as the first inference.

Reason 2: Once health data exists, you lose control

This is not a doctor’s office.

There is:

  • No HIPAA protection

  • No doctor–patient confidentiality

  • No guaranteed limitation on reuse

Companies change policies.

Companies get breached.

Companies get acquired.

Your data can outlive the moment you shared it in—and you may not be able to fully pull it back later.

Context fades.

Records remain.

Reason 3: Decisions can be made without you ever knowing

This is the most overlooked risk.

Health-related data—explicit or inferred—can influence:

  • Insurance risk scoring

  • Hiring and screening tools

  • Advertising and targeting models

  • Future AI systems trained on behavioral patterns

You won’t see the profile.

You won’t see the logic.

You won’t see the decision.

You’ll only feel the outcome.

That asymmetry is where trust breaks down.

This matters for businesses too

For SMBs, healthcare organizations, law firms, and schools, the risk compounds:

  • Employees may share sensitive data casually

  • Personal health disclosures can intersect with professional identity

  • Organizational data boundaries blur

When personal tools are used for serious topics, governance disappears.

If you still choose to use AI for health questions

There are ways to reduce risk:

  • Keep questions generic

  • Do not upload medical records or test results

  • Avoid timelines and repeat patterns

  • Do not include names, dates of birth, or diagnoses

  • Turn off chat history and training where possible

Think of it like public Wi-Fi for sensitive topics:

usable, but never assumed safe.

The real takeaway

AI health tools are powerful.

They are also memory systems.

Once health data enters an AI ecosystem, control shifts away from you—and that shift is often invisible.

Caution here isn’t anti-technology.

It’s pro-awareness.

70% of all cyber attacks target small businesses, I can help protect yours.

#cybersecurity #managedIT #SMBrisk #dataprotection #AIprivacy

Crypto
Technology
News

Epstein’s interest in Bitcoin and crypto

February 4, 2026
•
20 min read

When Crypto’s Past Collides With a Dark Archive

Why these documents are resurfacing now

A newly released tranche of records under the Epstein Transparency Act has reignited scrutiny of who crossed paths with Jeffrey Epstein—and that includes names from the crypto and technology world.

The materials, published by the U.S. Department of Justice, span millions of pages of correspondence, emails, and testimony involving figures from finance, politics, and technology. Importantly, the documents do not allege new crimes by the individuals mentioned. But they do illuminate how far Epstein’s network extended—and how early crypto entered his orbit.

Epstein’s interest in Bitcoin and crypto

According to the documents, Epstein became aware of Bitcoin as early as 2011. He reportedly discussed Bitcoin and crypto investments with members of the venture and tech community, including conversations about short-term trading and startup opportunities.

The records suggest:

  • Epstein viewed crypto primarily as a speculative instrument, not an ideological movement

  • He explored investing in both Bitcoin and early crypto startups

  • He proposed ideas for new digital currencies, including a 2016 concept aimed at the Middle East that would align with Sharia law and be modeled on Bitcoin

Notably, in at least one exchange, Epstein expressed skepticism about buying Bitcoin outright—suggesting opportunism rather than conviction.

Michael Saylor appears in correspondence

The documents also reference Michael Saylor, a prominent Bitcoin advocate and co-founder of what is now Strategy (formerly MicroStrategy).

One 2010 letter mentions a $25,000 donation attributed to Saylor for a charity event connected to Epstein’s circle. In return, the correspondence suggests access to private social gatherings.

The language used to describe Saylor in private emails is unflattering, but it’s critical to separate tone from substance:

  • There is no evidence of illegal activity by Saylor in the documents

  • His name appears as part of Epstein’s broader social and fundraising network

  • The reaction stems from proximity, not allegations

Still, even indirect association with Epstein tends to trigger intense public scrutiny—especially in crypto, where reputational trust matters.

Blockstream and crypto ecosystem correspondence

Another area drawing attention involves Blockstream, a major Bitcoin infrastructure firm.

Declassified correspondence includes emails between Epstein and Blockstream co-founder Austin Hill, discussing support for crypto projects and criticism of rival ecosystems such as Stellar and Ripple.

The documents also reference travel and introductions involving Blockstream CEO Adam Back. Back has publicly stated:

  • Blockstream had no direct or indirect financial ties to Epstein or his estate

  • He met Epstein via Joichi Ito’s fund in 2014, which briefly held a minority stake

  • That stake was later sold due to potential conflict concerns

Again, the documents show contact, not criminality—but timing and transparency continue to fuel online debate.

Why proximity alone creates fallout

The Epstein files highlight a difficult reality for tech and crypto:

  • High-net-worth networks overlap

  • Fundraisers, conferences, and venture circles blur boundaries

  • Being mentioned in correspondence can trigger reputational damage—even decades later

This doesn’t imply wrongdoing. But it does show how association risk lingers long after facts are clarified.

Why this matters for businesses and investors

For SMBs, financial firms, law practices, and schools, the lesson isn’t about crypto ideology—it’s about risk exposure:

  • Reputation and trust extend beyond technical merit

  • Historical associations can resurface without warning

  • Governance, transparency, and documentation matter long after decisions are made

In highly scrutinized industries, perception can become a risk vector of its own.

The takeaway

The Epstein documents don’t prove criminal behavior by crypto leaders.

But they do reveal how early crypto intersected with elite networks—some of which carried serious ethical baggage.

As more records are reviewed, scrutiny will continue.

Not because crypto is unique—but because trust, once questioned, is hard to restore.

70% of all cyber attacks target small businesses, I can help protect yours.

#cybersecurity #managedIT #SMBrisk #dataprotection #cryptorisk

Technology
Cybersecurity
Tips

When Updates Become an Attack Vector

February 15, 2026
•
20 min read

When Updates Become an Attack Vector

A trusted tool, quietly weaponized

The maintainers of Notepad++ have confirmed a serious incident:

their update infrastructure—not the code itself—was hijacked, allowing attackers to redirect select users to malicious update servers for months.

This wasn’t opportunistic malware.

It was highly targeted, infrastructure-level interference, assessed by multiple researchers as likely tied to a Chinese state-sponsored threat actor.

And that’s what makes this incident especially important.

What actually happened

Between June and December 2025, attackers gained access to Notepad++’s former shared hosting environment.

Instead of exploiting a vulnerability in the software, they compromised the hosting layer, which allowed them to:

  • Intercept update requests

  • Manipulate responses from the update endpoint

  • Redirect specific users to attacker-controlled servers

The attack centered on a script called getDownloadUrl.php, used by the built-in updater (WinGUp) to determine where to download updates from.

If an attacker controls where an app downloads updates from, they effectively control what gets installed.

Why older versions were vulnerable

At the time, older versions of WinGUp:

  • Did not strictly enforce certificate validation

  • Did not fully verify digital signatures on downloaded installers

That gap allowed attackers to serve malicious binaries that appeared, to the updater, as legitimate updates.

This wasn’t a mass infection campaign.

It was selective, deliberate, and quiet.

Timeline highlights (simplified)

  • June 2025 – Initial compromise of shared hosting infrastructure

  • September 2025 – Attackers lose direct server access during maintenance

  • Sept–Dec 2025 – Attackers retain access using stolen service credentials

  • November 2025 – Active redirection activity appears to stop

  • December 2025 – Hosting provider rotates credentials and hardens systems

  • December 9, 2025 – Notepad++ releases v8.8.9 with hardened update checks

The attackers persisted for months even after losing server-level access—an important reminder that credential theft outlives infrastructure fixes.

What Notepad++ changed

The Notepad++ team responded decisively.

Starting with version 8.8.9:

  • Updates require a valid digital signature

  • Certificates must match exactly

  • Any verification failure aborts the update automatically

Looking ahead, the project is implementing XML Digital Signatures (XMLDSig) for update manifests. This ensures the update metadata itself is cryptographically signed—preventing URL tampering even if a server is compromised.

Enforcement is expected in version 8.9.2.

The project also migrated off the compromised hosting provider entirely.

Why this matters far beyond Notepad++

This incident is a textbook example of supply-chain risk.

  • SMBs rely on auto-updating tools every day

  • Healthcare environments depend on trusted endpoints staying trusted

  • Law firms assume developer updates are safe by default

  • Schools deploy widely used software without deep inspection

Here, the code was clean.

The developer was legitimate.

The compromise happened in between.

That’s the modern attack surface.

The uncomfortable lesson

“Keep your software updated” is still good advice—but it’s no longer sufficient on its own.

The real lesson is this:

Trust must be cryptographically enforced, not assumed.

Attackers no longer need to break your systems.

They just need to stand where you already trust traffic to pass.

The takeaway

This wasn’t a failure of open source.

It wasn’t a failure of developers.

It was a reminder that infrastructure is part of the security boundary, and update mechanisms are now prime targets for advanced attackers.

If your security model assumes updates are always safe, it’s already outdated.

70% of all cyber attacks target small businesses, I can help protect yours.

#cybersecurity #managedIT #SMBrisk #dataprotection #supplychainsecurity

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