Cyber Safety for Seniors
You can view the slides from Chris' presentation here, but here are the highlights from his talk are below. Brian also shared his preference for Perplexity over Google for search and as a much safer browser for everyone. He uses it himself almost exclusively.
Cyber Safety for Seniors Presentation — Part 2
Topics discussed:
- Refresher: Pause, reflect, and protect — scammers exploit your emotions and fears
- Latest scams active today
- Techniques: Inspecting emails and text messages to verify senders
- Safe link inspection — avoid clicking until verified
- Using AI tools to detect scams
- Safety checklist for any email or text
- Using junk blockers for email and text
- Freezing your credit — process and benefits
Facts and risks:
- 2.6 million fraud reports, $12.5 billion lost (2024)
- Scams: unsolicited calls, urgent texts with links, family/friend impersonation calls
Recent scam types:
- Fake customer support with overdue bills and callback numbers
- PDF invoices by email — virus risk
- QR codes — redirect to scam sites
- Robocalls — AI voices selling various offers
- Refund scams (targeting previous scam victims)
- Deep fake videos — celebrities endorsing miracle products
Verification walkthroughs:
- Email and text sender checks: Dissect valid vs. fake sender addresses
- Link inspection: Recognize malicious links in emails, texts, browser, and smartphone apps
- Link previews: Adjust settings (Mail, iPhone) to enable/disable link preview features
Scam indicators:
- Unfamiliar or generic addressing (“Dear Customer”)
- Overly familiar language, spelling errors, poor grammar
- Unprofessional formatting, incorrect company branding
- Urgency — demands immediate action
- “Too good to be true” offers
- Unexpected attachments
AI for scam detection:
- Use AI tools like ChatGPT to verify authenticity of emails/texts via sender and link check
- Always scan with AI before engaging
Checklist for every email/text:
- Check sender identity
- Inspect all links
- Evaluate address style (generic/personal)
- Flag familiar language, errors, formatting issues
- Watch for urgency tactics
- Confirm attachments are safe and expected
- Use AI to scan message
- Validate with the company/source directly
Spam/junk tagging:
- Tag suspicious communications using built-in features in Gmail, Yahoo, and iPhone text apps
Constant vigilance, use tech tools for verification, scrutinize urgent and unsolicited messages, and always validate sources independently.
First talk (June-2025) - Recap
Definition of a scam: Attempt to defraud via trust, targeting credulity, naivety, compassion, vanity, confidence, irresponsibility, and greed. Scams occur by email, calls, texts, social media, apps, software, websites, and even in-person. Common formats: fake prizes, charity requests, invoice fraud, phishing, risky investments.
Scams common among retirees:
- Calls claiming to be Medicare, demanding numbers under threat of lost benefits.
- Debt claims after spouse's death, urgent payment demands.
- “Sweepstakes winner” notifications requiring upfront taxes/fees.
- Discounted prescription drug offers via email/ads.
- Door-to-door contractors with urgent unmet repair claims seeking DOB and SSN.
- Social Security “problem” calls requesting personal info.
- “Can’t miss” investments: high returns, little risk.
- Phone ‘charities’ seeking immediate donations.
- Romance scam texts with links demanding personal info.
Scam tactics focus on emotions and fears.
2024 snapshot:
- 2.6M fraud reports; $12.5B reported lost.
- Top scam types: imposters, online businesses, investments, shopping, job ads.
- Median loss via phone scam: $1,500.
- Losses by channel: social media ($1.9B), job scams ($501M).
- Young adults report losses more than older people.
Practical safety steps:
- Screen unsolicited calls; let voicemail answer. Scammers spoof company info.
- Don’t share personal info by phone.
- Confirm org by finding official site and calling verified numbers.
- Only consider .gov or trusted .com for institutions.
- If message elicits fear/urgency, pause and get second opinion.
- Texts with international codes or threats: never click links or call back; verify via official source.
Verifying emails:
- Real companies won’t request personal info to be entered into a third-party site.
- Check “From” address for legit domain.
- Confirm action links point to verified company site.
- Use AI (ChatGPT, Gemini, Copilot, etc.) to scan text for signs of a scam.
- Always verify with official support before acting.
AI deep fake warning:
- Scammers use social media audio to create fake family member voices; always verify with a family-specific security word.
Response protocol for suspected fraud:
- Cut off all contact.
- Gather evidence: emails, texts, transactions.
- Report to FTC (1-877-FTC-HELP, reportfraud.ftc.gov).
- Contact your state Attorney General’s office for consumer complaints.
Additional defenses:
- AARP fraud alerts signup.
- Real-time credit card charge notification (via apps on your phone)
- Trusted contact list for second opinions.
- Enroll on National Do Not Call Registry to filter telemarketers (won’t block all fraud, but flags legitimate from scam).
- Credit freeze prevents unauthorized new accounts; free at Equifax, Experian, TransUnion.
Essential contact numbers:
- IRS: 800-366-4484
- Social Security: 800-772-1213
- Medicare: 800-447-8477
- Amazon: 888-280-4331
- Google: support.google.com
Summary: Fraud adapts, uses technology (AI, phone, email) and emotional triggers. Verification should be done through official channels—never by phone/email links. Keep key contacts and freeze credit to prevent account takeover.
Russo provided insights into cyber safety and scam prevention, highlighting the pervasive nature of digital threats. He explained how scammers exploit emotional triggers and utilize advanced tools like AI to spoof websites and voices, making it harder to discern legitimate communications. He emphasized the importance of adopting a "pause, reflect, and protect" mindset when encountering unsolicited messages, offering practical strategies such as verifying sender identities, being cautious of suspicious links or phone numbers, and using AI as a personal vetting tool. Additionally, he provided tips on reporting fraud, freezing credit, and the importance of establishing a secret family 'safeword.' Click below to access his presentation.