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The End of the “Bad Grammar” Tell

AI-Written Phishing

The End of the “Bad Grammar” Tell

For years, spotting phishing meant spotting the typo. Generative AI now writes fluent, personalized messages in any language, pulling real details from LinkedIn, company news, and email signatures to build a tailored lure in seconds. It can even hold a believable reply conversation. Detecting the pattern of an attack, not the polish of its writing, is what catches AI phishing today.

Personalization at scale

Attackers pull job titles, company news, and colleague names to write tailored lures in seconds, not hours.

Multilingual by default

Attackers pull job titles, company news, and colleague names to write tailored lures in seconds, not hours.

Believable back-and-forth

AI can hold a convincing reply conversation, something that used to expose an attacker within one or two messages.

Business Email Compromise

Deepfake Voice and Video in BEC and CEO Fraud

Business email compromise has always relied on impersonation. AI has given that impersonation a face and a voice. Deepfake phishing uses AI-generated video or audio of a real person, often an executive, to add credibility to a fraudulent request. CyberSentriq's role sits at the account and email layer: detecting the compromised account, the anomalous request, or the impersonation pattern behind the attack. Verifying whether a specific clip is synthetic is a separate discipline, so the safest step for any unusual request is to confirm it through a second channel first.

Deepfake video adds a face to fraud

AI-generated video of an executive can look and sound real enough to bypass an employee's instinct to double-check.

Voice clone scams power vishing

A short public audio clip is enough to clone a voice and impersonate a CEO, IT support, or a bank on a call.

Verification beats detection

Confirming an unusual request through a second channel is more reliable than trying to spot a synthetic clip.

Deepfake Voice and Video in BEC and CEO Fraud
Quishing and Other Channel-Shifting Tactics

QR Code Phishing

Quishing and Other Channel-Shifting Tactics

QR phishing, or quishing, exploits a gap in how most security tools work: it hides a malicious link inside an image rather than clickable text, so filters that scan text-based URLs can miss it. Attackers place fake QR codes in emails, invoices, fake Microsoft 365 login prompts, and physical locations like posters and parking meters. Quishing is also part of a broader pattern of channel shifting, where an attack moves from email to text to phone call so no single security tool sees the whole picture.

QR codes hide links from text scanners

Quishing embeds a malicious link inside an image, which many filters don't inspect the way they inspect text links.

Attacks appear in unexpected places

Fake QR codes turn up in invoices, fake Microsoft 365 login prompts, posters, and even parking meters.

Channel shifting evades single-layer tools

An attack can move from email to text to phone call, so no one security tool sees the whole picture.

Why Technical Filtering and Human Training Must Work Together

Unified Email Security

Modern email security requires one coordinated approach that improves detection, reduces complexity, and helps MSPs respond faster when threats reach Microsoft 365 environments.

Stop Email Threats Before They Reach Your Users

CyberSentriq Email Security brings together the most valuable frontline checks, inbox-level threat detection, quarantine, behavioral analysis, automated remediation, and explainable verdicts into one product.

Security Awareness Training

Teaches people to recognize social engineering, pause on urgency, and verify unusual requests, then measures improvement over time.

The Reality of Email Threats

90%

of cyber attacks start with email

1 in 3

users click malicious links in phishing emails

80%

phishing causes over 80% of reported security incidents

94%

94% of malware is delivered via email

For MSPs

What MSPs Should Tell Clients This Quarter

Four talking points worth raising in the next client conversation, based on how phishing attacks have actually changed.

  • 01

    Grammar Is Not a Defense Anymore

    Well-written, personalized emails should raise the same suspicion that typo-filled ones used to. Polish is no longer a sign of legitimacy.

  • 02

    Verify Requests Through a Second Channel

    A payment change, password reset, or urgent transfer request should be confirmed by phone or in person, especially if it carries urgency.

  • 03

    Treat Unexpected QR Codes Like Unexpected Links

    Don't scan a QR code from an unsolicited email, invoice, or unfamiliar physical location without confirming its source first.

  • 04

    Review the Client’s Layered Stack

    Email filtering, DNS protection, and security awareness training should all be active and current, not just one of the three.

What This Means for MSPs

Growth

Clients with filtering but no training, or training but no DNS filtering, have a visible gap that's easy to explain and quote.

Margin

Bundling email security, DNS filtering, and training under one MSP-managed platform lowers the number of vendors to support per client.

Retention

Raising new attack patterns like quishing and voice clone scams before a client asks builds the trust that keeps contracts renewing.

Differentiation

Speaking specifically about deepfake BEC and channel-shifting attacks stands out from competitors selling generic email security.

Trust

AI-powered threats made cybersecurity a board-level concern. MSPs who proactively educate clients on evolving risks become trusted advisors, not reactive providers.

Revenue

Growing cyber risk drives demand for ongoing managed security. MSPs can bundle email security, training, compliance, and response into recurring offerings.

AI Phishing Frequently Asked Questions

AI phishing is phishing content, such as emails, messages, or voice calls, created or enhanced with AI tools. It removes the old tells like poor grammar and allows attackers to personalize lures at scale, in multiple languages, based on information scraped about the target.

Quishing, or QR code phishing, is a phishing attack that hides a malicious link inside a QR code instead of a text-based URL. Because many filters scan text links rather than images, quishing can bypass checks that would catch the same link written out in plain text.

A deepfake phishing attack uses AI-generated video or audio of a real person, often an executive, to make a fraudulent request appear more credible. It's commonly used in business email compromise to support urgent, high-value requests like wire transfers.

A voice clone scam uses AI to recreate someone's voice from a short audio sample, then uses that cloned voice in a vishing call to impersonate a CEO, IT support, or a bank representative and request sensitive action, like a password reset or payment approval.

Detecting AI phishing relies on multiple layers working together rather than any single tool: email authentication, behavioral and anomaly detection, trained employees who report suspicious activity, and DNS filtering.