The next phishing email might not look like phishing at all. For years, security awareness training taught…
samuel watua Soita — Full Stack Software Engineer
The next phishing email might not look like phishing at all.
For years, security awareness training taught us to look for obvious warning signs:
Bad grammar.
Strange formatting.
Suspicious links.
Unusual requests.
But AI is changing the economics of social engineering.
An attacker can now generate highly convincing messages, adapt them to a target, imitate communication styles, and scale campaigns far beyond what was practical manually.
That creates a new problem:
The question is no longer “Does this message look fake?”
It's:
“Can I verify that this request is legitimate?”
A convincing email requesting an urgent payment.
A message appearing to come from an executive.
A familiar-looking login page.
A voice call that sounds exactly like someone you know.
The technology behind the deception is improving.
Our verification processes need to improve with it.
Organizations should strengthen:
→ Phishing-resistant MFA
→ Identity verification procedures
→ Email authentication and monitoring
→ Privileged-access controls
→ Security awareness training
→ Out-of-band verification for sensitive requests
→ Detection of abnormal account behavior
Because awareness alone isn't enough.
When deception becomes harder to recognize, security must rely less on appearance and more on verification.
Trust—but verify.
Especially when money, credentials, or privileged access are involved.
#Cybersecurity #ThreatIntelligence #Phishing #SocialEngineering #AI #CyberDefense #IdentitySecurity #SecurityAwareness #SOC #InformationSecurity #ThreatDetection #CyberSecurity
4 reactions · 2 comments
Topics: #phishing, #informationsecurity, #identitysecurity, #ai, #threatintelligence, #securityawareness, #cyberdefense, #cybersecurity, #soc, #threatdetection
Comments
Schomer: Spot on, Samuel. AI has completely erased the 'clue' margin for social engineering. If an email, a voice clone, or a login portal looks 100% legitimate, trying to train a user to spot the fake is a losing battle. The paradigm shift has to move past 'awareness' and into deterministic gate logic. When human verification can be compromised via advanced deepfakes, the ultimate line of defense must exi
samuel watua Soita: Yeah Trust nothing ,isolate the boundary very important aspect