Month: July 2025

Artificial Intelligence has left the sci-fi realm and set up shop in every corner of business and government. Sure, it boosts efficiency and powers cool features, but without rules, it’s like handing the keys of a Ferrari to a teenager. Let’s take a brief walk through the AI rulebooks emerging around the world and why you, the cybersecurity maestro, should care.

Look, We Need Rules

AI is no longer magic. It’s here and being used daily. It’s a system that can alter people’s lives now, and who knows how in the future, so we better have some thoughts on controlling it. Although it feels like it sometimes (especially when figuring out compliance), regulations are not inherently evil and exist to:

• Force transparency in opaque systems.
• Keep personal data from becoming collateral damage.
• Slim down biases baked into algorithms.
• Make sure life doesn’t get boring (ok, maybe not that)

These rules shape everything from data handling strategy to compliance reporting and ethical audits. And yes, the paperwork load is epic.

Global AI Regulation Roundup

1. European Union’s AI Act
   The EU, never one to miss a chance to regulate, dropped Regulation EU 2024/1689 like a GDPR sequel. Phased rollout is already underway.

2. United States: Executive Orders & NIST Framework
   Welcome to the U.S., where AI governance is as stable as your favorite legacy VPN tunnel.

NIST’s AI Risk Management Framework is your new best friend. Voluntary, but ignore it and you’ll regret it.

Political ping-pong: Some policial leaders want agencies to watch AI closely; Others have basically said, “Nah, set it free.” YOLO! There are good arguments for each approach, and it’s not a bad idea to understand the pros and cons for each.

July 2025 update: President Trump greenlights the AI Action Plan to deregulate and supercharge exports to our allies and partners.

Some folks feel America is racing forward while arguing about where the finish line is. Time will tell.

3. China’s AI Landscape
   Imagine AI governance but with extra surveillance and nationalism sprinkled on top. Here is an interesting read that is pretty recent.

Ideological fidelity is now part of your codebase. Literally.

Data localization is non-negotiable. The Great Firewall just got an upgrade.

Autonomous vehicle ethics? China beat everyone to it with July 2025 regulations focused on liability, algorithm transparency, and not murdering pedestrians.

Bottom line: You don’t negotiate with these rules. You comply, or you’re out.

Why You Should Care

These are some cybersecurity game‑changers, and new stuff is being drafted somewhere pretty much every minute. Compliance and risk management just got a little tougher.
Your compliance team may cry. They may get angry, I mean it’s just what they need after juggling the elventy-billion different privacy regulations out there, so we can’t blame them, but then, they’ll call you. Be ready and try to be empathetic.

Data governance is now a sport. It requires strategy, discipline, and occasionally, a sacrificial intern. I mean that’s worked for other things, right?

You’ll need bulletproof logs, documentation, and dashboards that don’t make auditors weep. A single pane of glass people, a single pane of glass (have we given up on that concept yet?)

AI as a Security Tool (the bright side)

Hopefully we can use AI to detect anomalies while you sip coffee and pretend you’re not exhausted.

We should be able to train models to predict attacks like they’re playing chess, except your opponent is a ransomware gang.

It’s getting easier to automate response already. That’s good because your SOC is already overworked and understaffed.

Stakeholder Collaboration & Thought Leadership

Get in those policy meetings. If you’re not at the table, you’re probably on the menu. Don’t have AI make the decks either. We can’t let the machines know what we are proposing until it’s too late for them to react.

Translate tech babble into boardroom speak. Bonus points if no one falls asleep during your slide deck and if they don’t leave with a glazed look in thier eyes. Avoid FUD (Fear, Uncertainty, and Doubt) but help them avoid the risks the organization is facing.

TL;DR & Takeaways

Stuff to know:
– EU AI Act is in force, full compliance by 2027 Inventory AI, log everything, pray you don’t get audited.

– U.S. has voluntary chaos with political spice. You will probably want to follow NIST, watch for policy shifts, and brace for impact.

– China is going for tight control + ideological compliance Localize, memorize party lines, avoid stepping on dragons.

Final Thought
AI regulations are here, and they’re about as predictable as a phishing campaign before tax season. But guess what? You’re the security pro. You’ve survived crypto hype, cloud migrations, and auditors who still ask if you use antivirus. You’ve got this, and you aren’t alone.

Just don’t forget the compliance paperwork. They always remember the paperwork.

Ah, SEO. Remember when optimizing for search engines was all the rage? Titles stuffed with keywords, backlinks from shady directories, and that magical belief that page one of Google was digital nirvana. Good times.

Well, welcome to 2025, where Facebook is not just farmland anymore, and where SEO has a shinier, scarier cousin: Generative Engine Optimization, or GEO. It’s like SEO, but for AI, because clearly, search engine poisoning and malicious ads weren’t enough of a security risk on their own. Yeah, we really need THIS as well.

So, What’s GEO Anyway?

GEO is the art (read: hustle) of crafting content specifically to influence what generative AI engines spit out. We are talking about influencing ChatGPT, Gemini, Claude and their friends. Instead of trying to rank on Google, GEO tries to make your content the one that pops out when someone asks an AI a question.

Neat? Sure. Harmless? Oh, bless your heart.

When used responsibly, GEO can help brands stay competitive, engage customers, and even save time. I mean we can’t blame marketing teams for wanting to the be first source of information, but like every cool new tech trick, it didn’t take long for the internet’s darker side to show up. Can’t we just have nice things?

Enter the Bad Actors

GEO is a goldmine for the same kinds of folks who once flooded your inbox with offers from a “Nigerian prince.” Only now, the schemes are slicker, faster, and fueled by AI.

Here’s how the fun can go sideways:

Misinformation Gets a Facelift: Instead of some tinfoil-hat blogger writing about lizard people, now we’ve got well-written, AI-endorsed garbage that sounds legit. Perfect for spreading disinformation campaigns or seeding conspiracy theories in AI results. I mean LLMs have a voracious appetite for data, but it’s not really fact-checking what it’s taking in, and it’s certainly not doing that with what it spits out. That’s just not how it works.

Phishing, But Make It Fancy: Bad actors may be able to use GEO to make AI suggest fake tech support numbers, phony login pages, or “helpful” links that end with you giving away your soul, or at least your credentials. I personally have not seen it yet (that I know of), but it’s coming, don’t you worry.

Reputation Jacking: Why go through the trouble of earning a good reputation when you can trick a generative engine into recommending your shady product? Just toss in a few prompts and let the AI do the legwork. Disappointment at the speed of Amazon Prime, and not only that, but they may also get an affiliate payout on top of it all for the affiliate link. Clever. Really clever.

Security, Privacy, and Compliance, Oh My

With more organizations relying on AI to push out content faster than ever, it’s a recipe for security gaps. Sensitive data can accidentally leak into generated content, AIs might hallucinate company policies, and suddenly you’re on the hook for something a robot said.

Then there’s the regulatory mess. If your AI-crafted content violates privacy laws or spreads false information, guess who’s on the legal hook? (Hint: it’s not the AI.) You can rage against the machine, but in the end, it’s falling on you.

What Can You Do About It?

You don’t need to toss your generative tools into the digital dumpster. Just use them with a little more common sense than the people trying to game the system:

Fact-check everything: Just because AI wrote it with confidence doesn’t mean it’s true. It lies with authority. Run a human sanity check before publishing and maybe don’t use the same AI to fact check it. Just sayin’.

Boost your security game: Assume someone is going to try to poison your content pipeline. Secure access, train employees, and monitor AI output.

Know the rules: Compliance isn’t optional, even if your chatbot says otherwise.

Final Thoughts: Not All That Glitters is GEO

GEO has the potential to reshape marketing, education, and even customer support. But let’s not kid ourselves, it also gives cybercriminals a sleek new vehicle for manipulation. If you think misinformation was bad before, wait until it’s optimized.

Bottom line? Use GEO wisely. Be skeptical. And for the love of all things good and secure, don’t assume that just because it came from an AI, it must be safe.

If you know me, you know I’m a smart home lover. I have Home Assistant automating lights, security camera alerts, our door lock, and a ton of other stuff. While I really think smart homes are cool, there are things we need to think about, especially with security.

You’ve got your lights, locks, thermostat, and even your fridge talking to you, and probably to each other. But while your connected toaster is busy plotting breakfast, cybercriminals might be plotting how to turn your “smart” home into their playground. So, before you turn your living room into a sci-fi movie set, let’s talk about how to keep it all secure.

Welcome to the Smart Home Jungle

Smart homes are basically regular homes that went to Silicon Valley and came back with Wi-Fi-enabled everything. We’re talking:

• Voice assistants like Alexa and Google (aka the nosy roommates who hear everything)
• Smart locks and security cams (finally, some gadgets that actually protect stuff)
• Thermostats that know when you’re cold before you do
• Lightbulbs that are smarter than some people on the internet
• Bluetooth trackers that can tell what room you are in, and rat you out for spending too much time on the toilet doomscrolling.

Convenient? Absolutely. But every device you connect is another door you’re leaving open. Sometimes literally.

Your Smart Home’s Greatest Hits (of Vulnerabilities)

1. Weak Passwords (or “Password1234” Isn’t Fooling Anyone)

If you’re still rocking factory default credentials, congratulations, you’re a hacker’s dream. Change those passwords. Use something strong, unique, and not your pet’s name followed by your birth year. Also, don’t use the same password for everything. Password vaults are great for making and managing unique passwords.

2. No Two-Factor Authentication (Because “Just Trust Me” Isn’t a Strategy)

If your smart home gear doesn’t support 2FA, it’s time to ask why. And if it does but you haven’t turned it on, fix that. Now. I’ll wait.

3. Creepy Data Collection

Your smart devices know when you’re home, when you leave, and how often you microwave Hot Pockets. That’s a goldmine for cyber creeps if it’s not locked down with strong encryption. Make sure the things you buy encrypt data.

4. Malware (Because Yes, Your Fridge Can Be Hacked)

IoT malware is a thing. It’s like regular malware but specifically designed to exploit your coffee maker. Keep firmware updated so your devices aren’t running security from 2017.

Smart Security for Smart Stuff

So how do you keep your futuristic dream home from becoming a hacker’s Airbnb? Glad you asked.

1. Change the Defaults

Your router came with a network name like “Linksys123” and a password that’s basically “admin.” That’s not security, it’s bait. Customize that stuff.

2. Use Strong Wi-Fi Credentials

Make your Wi-Fi password a pain to remember. That’s how you know it’s working. Also, create a guest network so when your cousin visits with his malware-riddled tablet, your smart lights don’t catch a digital cold.

3. Update Like Your Privacy Depends on It (Because It Does)

Enable automatic updates for all your smart home devices. If a manufacturer doesn’t offer updates, maybe rethink buying devices from a company that ghosts its own products.

4. Embrace 2FA

If it offers two-factor authentication, use it. If it doesn’t, consider donating the device to a museum of poor security decisions.

5. Keep Tabs on Your Tech

Regularly audit what’s connected to your network. If you see something weird like “SamsungToaster_92,” make sure it’s yours, and secure. Network monitoring tools like Fing or GlassWire can help sniff out anything suspicious.

6. Teach Your Housemates Not to Be Click-Happy

Smart home security isn’t just tech. It’s people, too. Talk to everyone in the house about not clicking on sketchy links or installing apps from “TotallyRealAppStore.biz.”

Final Thoughts: It’s Your Home, Not a Hackers’ Hangout

Smart homes are awesome, but they’re also ripe for exploitation if you don’t lock things down. The same way you wouldn’t leave your front door wide open with a sign that says “Free stuff inside,” don’t leave your network wide open either.

Security doesn’t have to be complicated—it just has to be intentional. So go ahead, enjoy the magic of voice-controlled lights and robot vacuums. Just make sure your smart home is a fortress, not a free-for-all.

Phishing used to be as easy to spot as a cat in a dog park: misspelled names, weird email addresses, and “urgent” requests from long-lost Nigerian princes. Those were the good ol’ days. Now? The game has changed. Meet polymorphic phishing, the slick, ever-evolving cousin of traditional phishing that can shapeshift faster than your SIEM can blink.

This isn’t just phishing 2.0. This is phishing that’s gone to the gym, changed its hair, and started wearing a disguise. It’s changed more than you have since your high school yearbook picture 20 years ago, and it’s a serious threat to even well-defended networks. Let’s dig into what makes this chameleon of cybercrime so dangerous and what we can do about it.

What Exactly Is Polymorphic Phishing?

Think of polymorphic phishing like that sneaky villain in a spy movie who changes accents, outfits, and even fingerprints. Instead of using the same tired templates over and over, these attacks mutate by modifying code, tweaking subject lines, disguising URLs, and dressing up malicious sites to look convincingly legit.

Key Traits of a Polymorphic Attack:

• Constant Content Shifts: No two emails look the same, even within the same campaign. Just like not all twins are identical, these could be closely related, but not quite as unidentifiable as Fred and George Weasley (“Honestly, woman, you call yourself our mother?”)
• Obfuscation 101: Payloads are cloaked better than a Romulan warbird. Think encoded scripts and redirect loops, and beware Romulans bearing gifts.
• Brand Jacking: Your favorite brands get impersonated like it’s amateur hour on “Saturday Night Phish.” It’s not always a part of polymorphic attacks, but it is used often and it adds some spice to the soup when included. It’s kind of the Tabasco of phishing. Mmmm… Tabasco.

Old-School Phishing vs. Polymorphic Threats

Traditional phishing is like a canned robocall. It relies on repetition and familiarity. And while we’ve gotten pretty good at recognizing those “Your invoice is attached” scams, polymorphic phishing throws that playbook out the window.

Each email, site, or lure is a snowflake crafted to slip past signature-based detection, pattern recognition tools, and even savvy users. These are not your grandma’s phish, they are more like your “sneaky cousin who lives in their parent’s basement playing on the computer all day and never sees sunlight”, phish.

Why It’s More Dangerous Than That Time You Clicked “Enable Macros”

• Security Tool Evasion
  Your shiny new email filters and endpoint protections? Yeah, they work great, until they meet a phishing email that’s never been seen before. Polymorphic phishing sidesteps defenses like a ballerina in a minefield.
• Hyper-Personalization
  With a little help from OSINT and maybe even AI, these attacks can include personal details that make them eerily believable. Suddenly, you’re not ignoring that “urgent” email, instead you’re clicking, because it references a real coworker, recent project, or that annoying neighbor you are always talking about on the Facebookz.
• The Cost of “Oops”
  One successful polymorphic phish can equal data breaches, ransomware payloads, regulatory fines, and a company-wide meeting that begins with, “So…we’ve had an incident.” Military folks, you know you really messed up when you are the reason for an unscheduled “safety briefing”, and this is sort of like that.
• Expanding the Blast Radius
  These attacks don’t just target end-users. They go after HR, finance, partners, and even third-party vendors. The more doors they knock on, the better the odds someone answers. Nobody needs to huff and puff to blow the house down, when the door is opened for them.

Spotting a Shapeshifter

Polymorphic attacks are sneaky, but not invisible. Here’s what to watch for:

• Odd or unexpected requests for data or action.
• Sender addresses that are “close-but-no-cigar” legit-looking.
• Links that don’t go where they say they do. Hover before you click.

Your Defense Playbook
Here’s how you fight a threat that’s always changing:

• Train Like You Mean It: Phishing simulations and awareness training aren’t just HR checkbox items, they’re your first line of defense. Teach people what to look for and what to do when things feel off. Be the Rocky Balboa of security and keep training.
• Tech with Brains: Leverage tools that use machine learning and behavior analytics. Static signatures just don’t cut it anymore, you want to look for context. Are you being asked to buy a bunch of Amazon gift cards so you can pay a fine for not showing up to jury duty. Yeah, sounds totally legit. It doesn’t matter how much lipstick you put on that pig, good filters and tech should catch it.
• Multi-Factor Everything: MFA is like putting two locks on your front door. Sure, it’s a pain, but so is having your digital life ransacked. Just don’t reuse passwords, or it’s like having those two locks, but leaving a key in one of them. Don’t be that person.

Wrapping It Up

Polymorphic phishing is like a cybercriminal with a wardrobe full of disguises. It’s the Boggart of the inbox. It’s agile, elusive, and always looking for its next mark. For cybersecurity pros, this means keeping training fresh, staying skeptical, and investing in tools that look beyond the surface.

Because while attackers are evolving, so can we.

Let’s face it—old-school security awareness training is like a dusty VHS tape of a corporate seminar: outdated, one-size-fits-none, and something everyone fast-forwards through. Enter Human Risk Management (HRM): the shiny, AI-powered and all encompassing upgrade that doesn’t just train your people, it actually measures and changes behavior. Behaviour change is the real goal right, so think of it as the cybersecurity version of a Fitbit… but for your users’ digital hygiene.

The HRM Playbook (aka SAT Is Growing Up )

1. Risk Identification & Assessment
Forget generic quizzes, a quality HRM platform can use real data and AI analysis to spot risky behavior in the wild. From simulated phishing tailored to your user’s role or past errors, to behavioral pattern analysis, it’s like having a cyber-sleuth watching for red flags. Time is a valuable commodity, and many organizations don’t have the time to look at each user and figure out what they need, that’s where employing AI agents really shine!

2. Personalized Learning & Coaching
No more “click-through this 45-minute slideshow” or “go sit down and watch this boring, generic presentation for the next hour.” HRM delivers microlearning, real-time nudges, and coaching that actually resonates. If people don’t understand how training, any kind of training really, applies to them, they aren’t going to absorb it and they certainly won’t change their behavior. Help them see how they are impacted by the situation, and then how they can protect against it.

3. Seamless Tech Integration & Automation
A good HRM platform plugs into your existing tech (like M365 or Slack) and responds instantly. Spot a risky email behavior? It gets flagged, the user gets coached, and you don’t even have to lift a finger. There are valid arguments on both sides of the time-of-failure nudge issue, but I firmly believe that if done in a gentle and non-demeaning way (not making them feel stupid for the mistake), it can have great results. Messaging is everything here.

4. Continuous Monitoring & Risk Scoring
This isn’t set-it-and-forget-it training. A good HRM platform constantly tunes risk scores, re-targets training, and offers insights that executives actually care about—because yes, cybersecurity can have ROI. A really good HRM platform can even limit the ability of users to take certain actions based on their risk scores.

If Bob in accounting (all names are fictious and do not reflect real people except purely by accident 😀 ) has failed the last few social engineering simulations, do you really want him to be able to instantly respond to emails from an outside organization that are spoofing an email address, or opening a potentially infected file without some additional scrutiny? Sorry Bob, a high risk score plus a high risk message might equal an additonal look by secruity before you get to interact with it.

HRM vs. Security Awareness Training: The Showdown

Feature	Traditional SAT	Human Risk Management (HRM)
Method	Tell, test, repeat	Identify, quantify, coach in real time
Training Style	One-size-fits-all	Personalized, dynamic
Behavior Control	Static quizzes	AI-driven nudges & automation
Metrics & Culture	Compliance checkboxes	Real behavior change & culture shift

TL;DR

HRM is SAT on performance-enhancing cyber-steroids, and while SAT is part of HRM, but it’s not the whole thing. HRM includes email filtering, focused and relevant SAT, tailored phishing/social engineering simulations, point-of-failure training, Data Leakage Prevention (DLP), and credential management, in other words, dealing with any risk a human may introduce to the organization. This is not something that we used to be able to do well at an individual basis, especially in medium to large organizations, but technology has evolved to the point that agentic AI is finally making it possible without sucking up all of the available security team resources. Embrace it and love it, because the attacks are getting too good to stick with our old ways.

A good HRM platform doesn’t just tell users what should happen, it makes sure the right stuff does happen and monitors it, kind of like the trusty old Fitbit.