Safer Internet Day in Colorado: Smart Tech, Safe Choices—Your AI Policy + Phishing Training Playbook

(Plus the Feb 19 Pax8 Event)

If you’re responsible for HR, IT, or Compliance in Colorado, you’re managing two pressures that never seem to let up:

• Your people are adopting AI tools at work faster than policies can keep up, and

• Phishing and “business email compromise” style scams keep evolving, turning everyday messages into costly incidents.

That’s why Safer Internet Day 2026 is a perfect moment to reset your approach. This year’s theme—“Smart tech, safe choices – Exploring the safe and responsible use of AI”—isn’t just a headline. It’s an action prompt to create real guardrails and strengthen human defenses where attackers focus most.

And if you want a local, in-person way to turn that momentum into a plan, ABT is spotlighting an event designed for regulated organizations and teams who need practical cybersecurity + compliance guidance:

📍 Pax8 HQ (Denver Tech Center / Centennial) • 📅 Feb 19, 2026 • ⏰ 4:00–6:00 PM (MT)—an ABT + Pax8 + Todyl session focused on real-world security and compliance strategies for industries like healthcare, finance, government, and education.

RSVP + download the checklist at the end, then share it with your
HR/IT/Compliance peers so you can move forward together.

Why Safer Internet Day hits differently for Colorado teams right now

You already know security is important. What changes in 2026 is the combination of AI acceleration and social engineering maturity. Safer Internet Day 2026 explicitly centers on responsible AI use, because AI is now woven into how people write, search, summarize, and make decisions online—at work and at home.

In Colorado, that matters for a few practical reasons:

1. Hybrid work is a norm, especially along the Front Range. More logins, more devices, more “quick asks” in Slack/Teams, and more reliance on cloud workflows.

2. Regulated organizations are everywhere: healthcare networks, specialty clinics, credit unions, municipalities, schools, universities, and government contractors. (And those environments tend to have more sensitive data and more audit pressure.)

3. High-growth ecosystems (Denver Tech Center, Boulder, Colorado Springs) mean constant onboarding, vendor relationships, and process change—exactly the chaos attackers exploit.

So your goal isn’t “perfect security.” Your goal is to make safe choices easier than unsafe ones.

That starts with two things you can control:

• A clear AI policy that matches real workflows, and

• A phishing training program that builds muscle memory instead of checking a box.

The modern threat cocktail: AI + phishing + policy gaps

Let’s name what’s happening without the jargon.

AI makes phishing faster and more convincing

Attackers don’t need perfect English, deep research, or time-consuming iteration like they used to. AI helps them draft messages quickly, refine tone, and tailor lures to different departments. The Safer Internet Day theme is a reminder: smart tech can be used responsibly—or weaponized.

Phishing is still the most common complaint reported to the FBI

The “phishing problem” isn’t fading out. The FBI’s IC3 reporting repeatedly highlights phishing/spoofing as a major category—and fraud losses overall are enormous and rising.

Ambiguity is the enemy

Most employees aren’t trying to break rules. They’re trying to get work done quickly, and the “right answer” isn’t always obvious:

• “Can I paste part of this contract into an AI tool to summarize it?”

• “Is this DocuSign request normal?”

• “Why is our vendor suddenly changing bank info?”

• “My CFO does send urgent requests…”

Attackers thrive in that uncertainty.

So the strategy is not simply “warn employees.” It’s to remove ambiguity through policy and build reflexes through training.

Your AI policy: what to include (without creating a 40-page paperweight)

If you’re writing or refreshing an AI policy, your north star is simple:

You want employees to make safe decisions quickly, without guessing.

A strong AI policy doesn’t have to be long. It has to be clear, specific, and easy to follow under pressure.

1) Define “approved AI tools” and “approved AI use cases”

You should explicitly list which tools are allowed, whether personal accounts are permitted, and which use cases you support (brainstorming, internal drafting, summarizing non-sensitive material) versus restrict (processing sensitive client data).

If you don’t give people a safe option, they’ll find their own—and that’s how “shadow AI” becomes your compliance headache.

2) Create a data rule employees can remember: your “never paste this” list

This is the most important part of responsible AI use: what employees should never put into AI tools unless you’ve explicitly provided a controlled, approved environment.

Typical “never paste” categories include:

• PII (personal data),

• PHI (health data),

• financial account details,

• passwords, MFA codes, API keys,

• confidential contracts,

• proprietary IP.

If you’re in a regulated space (healthcare, finance, government, education), this section supports your broader compliance posture—because “safe and responsible use of AI” is not only ethical; it’s operational risk management.

3) Make output accountability explicit: humans verify, humans approve

AI can draft. AI can summarize. AI can suggest. But policy should clarify that:

• AI output is not an authority,

• employees must validate factual claims and compliance language,

• final decisions and approvals remain human.

This protects you from mistakes and “confidently wrong” content that slips into client deliverables, HR communications, or compliance artifacts.

4) Include access and identity controls (because tools are accounts)

Your AI policy should tie into your identity and access management basics:

• MFA required for approved tools,

• approved sign-in methods (SSO if available),

• no password reuse,

• no unknown browser extensions or plugins.

AI policy isn’t just about prompts—it’s about accounts, permissions, and data exposure pathways.

5) Add an escalation sentence that changes culture

One line can do a lot of heavy lifting:

If you’re unsure, pause and ask—before sharing data or taking action.

When employees feel supported in slowing down, your risk drops fast.

Security awareness training in Colorado: what actually improves outcomes

Many teams invest in security awareness training Colorado initiatives and still get surprised by phishing. The reason isn’t that training is useless—it’s that generic training doesn’t change behavior.

You get better results when your program is:

• role-based,

• continuous (micro-cadence), and

• paired with respectful simulations and easy reporting.

Step 1: Train to real roles, not generic “employee threats”

HR, IT, Finance, and executives face different attack patterns. Your training should reflect that:

• HR: payroll redirect scams, benefits portal impersonation, W-2 requests

• Finance/AP: invoice fraud, vendor banking changes, wire urgency

• IT: credential harvesting, MFA fatigue attacks, “security alert” impersonation

• Leadership/Exec admins: calendar invites, document share lures, CEO impersonation

When training matches daily reality, retention goes up.

Step 2: Teach a fast, repeatable decision framework (“friction checks”)

Give your team a 10-second mental checklist they can run while inbox triage is happening:

1. Source: Do I recognize the sender—beyond the display name?

2. Story: Is it urgent, secret, or unusually pressuring?

3. Step: Does it push me to click, pay, download, or share credentials?

If two out of three feel off, the correct move is: stop, verify out-of-band, report.

This is simple enough to become habit.

Step 3: Simulated phishing—done without “gotcha energy”

Simulations are useful when they feel like coaching, not punishment. The best programs:

• keep simulations short,

• rotate themes and departments,

• attach a micro-lesson immediately,

• avoid humiliating employees.

Your goal is resilience, not fear.

Step 4: Reward reporting more than perfection

A mature culture understands this: people will occasionally click. The bigger win is how quickly your organization detects and responds.

So track:

• reporting rate,

• time-to-report,

• repeat click trends,

• containment speed.

This aligns with the reality that phishing is pervasive and fraud is costly—reflected in IC3 reporting and the broader national trend.

Colorado-specific phishing scenarios worth including (because local feels real)

“Localized training” isn’t just marketing. It’s memory science: people remember what feels familiar.

Here are Colorado-specific scenarios you can incorporate to make your security awareness training feel relevant:

1) Vendor impersonation in the Denver Tech Center ecosystem

The DTC area is packed with SaaS vendors, MSPs, and partner ecosystems. Attackers love impersonating vendors because the request looks normal: invoices, renewals, “updated payment portal,” or “new banking details.”

Training takeaway: treat payment changes as high risk and verify by phone using known numbers, not the number in the email.

2) Remote and hybrid work across the Front Range

If your team works from Boulder, Golden, Centennial, Highlands Ranch, Longmont, Castle Rock, or Colorado Springs, the threat pattern shifts:

• more personal devices,

• more home networks,

• more multi-factor prompts,

• more “quick approvals.”

Training takeaway: MFA prompts are not harmless. Unexpected prompts should be treated like a fire alarm.

3) Hiring surges and onboarding windows

New employees are prime targets because they don’t know “how things normally work.” Attackers use HR-themed lures: benefits enrollment, direct deposit updates, and “policy acknowledgements.”

Training takeaway: embed micro training in week one, not month three.

Where AI policy and phishing training overlap (and why that overlap is your advantage)

Here’s the part that changes your results:

Your AI policy is a phishing control.

Because phishing isn’t always “click this link.” Today it can be:

• “Install this AI transcription plugin.” (credential theft / extension risk)

• “Paste this file into the assistant and summarize.” (data leakage)

• “Use this tool to review this invoice.” (malicious attachment)

• “Here’s a shared doc; AI summarized the changes.” (share-link impersonation)

When your policy says what’s allowed and your training reinforces how attackers exploit ambiguity, your team gets a new reflex:

• “I’m not allowed to paste that data into an AI tool.”

• “This request is urgent and unusual; I’m verifying.”

• “The link looks off; I’m reporting.”

That’s “smart tech, safe choices” in everyday workflows.

Spotlight: Feb 19 in-person event at Pax8 HQ (Centennial / Denver Tech Center)

If you want hands-on momentum, ABT is highlighting a Colorado event built for organizations that have to balance security, operations, and compliance—not just theory.

Cybersecurity for Regulated Orgs | Pax8 HQ | Feb 19, 2026 is hosted with ABT, Pax8, and Todyl and is designed to help teams in healthcare, finance, government, and education strengthen their security posture with practical steps.

Event details (from ABT’s event page):

• Location: Pax8 HQ • Denver Tech Center (Centennial, CO)

• Date: February 19, 2026

• Time: 4:00–6:00 PM (MT)

• Includes: Light apps + drinks (and networking)

• RSVP: RSVP by email via the ABT event listing

And if you’re wondering why Pax8 is such a fitting venue: the company has an established presence in the Denver Tech Center and actively invests in community and partner events. Additionally, their meeting space looks directly over Fiddler’s Green and the view is spectacular!

Your “Smart Tech, Safe Choices” checklist (download + share internally)

Below is a ready-to-use checklist you can paste into a doc, brand, and distribute across HR/IT/Compliance. It’s designed to support security awareness training Colorado programs while tightening your AI policy in the same motion.

A) AI policy checklist (practical guardrails)

• ☐ Publish an approved AI tools list and a simple request process for exceptions

• ☐ Define your “never paste this” categories (PII/PHI/financial/credentials/contracts/IP)

• ☐ Clarify that humans verify and approve AI outputs (accuracy + compliance)

• ☐ Require MFA and secure sign-in for approved tools (prefer SSO)

• ☐ Prohibit unapproved browser extensions/plugins tied to AI tools

• ☐ Add escalation language: “If unsure, pause and ask”

• ☐ Create a one-page employee FAQ with real examples

B) phishing training checklist (behavior change)

• ☐ Launch role-based security awareness training modules (HR/AP/IT/Exec/Admin)

• ☐ Teach the “Source / Story / Step” friction check

• ☐ Run respectful simulated phishing + immediate micro-lessons

• ☐ Make reporting easy (one-click button or simple reporting channel)

• ☐ Formalize payment-change verification (known callback + dual approval)

• ☐ Include AI-themed social engineering scenarios (fake tools, prompt traps, plugin lures)

• ☐ Track reporting rate + time-to-report + repeat click trendlines

C) culture + compliance checklist (the glue)

• ☐ Align HR + IT + Compliance on language, consequences, and escalation paths

• ☐ Define the user experience after reporting (what happens next, who responds, timeline)

• ☐ Embed policy + training into onboarding (week one, not “someday”)

• ☐ Rehearse incident escalation and contact lists quarterly

• ☐ Refresh training in short bursts (monthly or quarterly micro-cadence)

RSVP + take the next step

If you want this Safer Internet Day theme to translate into action:

1. RSVP for the Feb 19 event at Pax8 HQ through ABT’s event page, and bring a colleague from HR, Finance, or Compliance so you leave aligned.

2. Use the checklist above to tighten your AI policy and modernize your security awareness training Colorado approach over the next 30 days—before the next phishing wave hits.