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Phishing and AI-Powered Social Engineering

AI generates flawless phishing emails. Attackers use LinkedIn and public data to craft targeted attacks. Defence requires filtering and training.

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Phishing used to be obvious. A message claiming to be from a Nigerian prince with broken English was easy to spot. Today, generative AI writes phishing emails with perfect grammar, correct tone, and context pulled directly from your company website and employee LinkedIn profiles. The attacker crafts a message about a project your finance director is actually working on, references an existing client you do business with, and asks for urgent wire transfer confirmation. It's no longer a joke. It's your organization's greatest vulnerability.

How AI Changes the Attack

An attacker no longer needs writing skill or industry knowledge. They feed an AI model your company name, employee names scraped from LinkedIn, your recent press releases, and a generic phishing template. The AI generates dozens of grammatically flawless, contextually relevant emails in minutes. Each one feels like it came from a colleague or trusted vendor. Deepfake voice technology takes this further. A call comes in claiming to be your CEO requesting an urgent wire transfer, and the voice sounds exactly like them because it's a recording synthesized from public video interviews. These attacks are not hypothetical. They are happening now against businesses of all sizes.

The Attacker's Arsenal

Social engineering through AI begins with open-source information gathering. Your company website lists management team names and job titles. LinkedIn shows what your staff work on, who they're connected to, and where they've worked before. Press releases announce new contracts or partnerships. All of this is free and public. An attacker uses this data to craft highly specific messages that reference real projects, real clients, or real technical implementations your organization uses. Credential harvesting is especially common. A phishing email includes a link to what looks like a SharePoint login page or Microsoft 365 sign-in screen. The page is a perfect replica. When an employee logs in, their username and password are captured. Within minutes, the attacker has access to email, files, and customer data.

Layered Defence Against Phishing

Email filtering with machine learning detects anomalies in sender addresses, malicious links, and attachment types. It catches the majority of phishing attempts before they reach the inbox. Credential protection goes further. Modern browsers and security tools warn users when they're typing a password into a site that's not the real Microsoft 365 domain. If misconfigured, the warning prevents form submission entirely. This stops credential harvesting even when a phishing email bypasses filtering. Most importantly, security awareness training teaches your team to recognize the signs: subtle sender address differences, requests that deviate from normal procedures, or links that don't match the displayed text. When integrated with the Sentry Platform, employees receive simulated phishing campaigns that test real-world behaviour and build institutional resistance.

Why This Matters Now

A single compromised email account is often the entry point for ransomware, data exfiltration, or business email compromise. An attacker uses that account to convince accounting to transfer funds, or they forward sensitive client data to a competitor. The cost is measured in tens of thousands of dollars or more. Layered defence, including filtering, credential protection, and ongoing training, reduces risk substantially. Phishing will never disappear, but informed teams with proper tools rarely fall victim.

Defence requires consistency across email, authentication, and people.