Joined August 2024
Photos and videos
InceptionCyber retweeted
Evasive case of #BEC Invoice scam detected by #NACE Homoglyph in Subject / Body of Email: Reminder: Outstanding INV01322327 For "invoice" or "inv", instead of using capital "i" , email is using small case "L" Intent Analysis Contextual Relationship with SMTP Headers = Malicious
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InceptionCyber retweeted
One of the evasive case of #BEC Initial Lure detected by #NACE . Sense of Urgency is in Display Name rather than in Subject. Intent-based analysis Contextual relationship with SMTP headers => Malicious. #GenAI #EmailSecurity
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InceptionCyber retweeted
Phishing attempt employing social engineering detected by #NACE . Semantic Analysis aided to identify the intent Contextual relationship with auxiliary information CTA , SMTP Headers = > Malicious #GenAI #EmailPhishing
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InceptionCyber retweeted
Interesting case of #Phishing detected by #NACE. Threat actors spoofed a mailbox full warning to trick users into clicking a malicious CTA URL. Intent Analysis Contextual Relationship from CTA => Malicious #GenAI #EmailSecurity
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Don't forget to sign up and join us for brews and bites on April 30th at Charmaine's Rooftop during hashtag#RSA! hubs.li/Q03jXypL0 hashtag#NACE hashtag#RSAC hashtag#emailsecurity hashtag#cybersecurity hashtag#AI

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InceptionCyber retweeted
Exited to present our research on using Generative AI to detect malicious attachments and URLs without needing features from exploitation stage. #AI #cansecwest2025
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InceptionCyber retweeted
Callback phishing detected by NACE — sent via trusted platforms
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InceptionCyber retweeted
Attackers now use legit CAPTCHAs, redirects & flawless AI-written emails to evade detection. NACE™ by @InceptionCyber caught 93% of threats missed by others. Legacy tools are blind to today’s threats. #infosec #emailsecurity #zerotrust businesswire.com/news/home/2…
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InceptionCyber retweeted
DocuSign phishing attempt detected by NACE. Low VT score: 4/97 — still flying under the radar.
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InceptionCyber retweeted
Our latest blog dives into how perplexity, entropy, intrinsic dimension, sentence verbosity, and punctuation patterns can help distinguish AI-generated text from human-written content. 🤖✍️ #AI #CyberSecurity #EmailSecurity inceptioncyber.ai/blog/detec…
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InceptionCyber retweeted
NACE, which uses a large language model, developed from the ground up, solves the problem of preventing evasive threats before reaching the endpoint by not relying on the malicious payload. Our blog shares details inceptioncyber.ai/blog/harne…
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