How Can White Hats of Tech Industry Use AI to Fight Against Spam?

How Can White Hats of Tech Industry Use AI to Fight Against Spam?

By CIOReview | Thursday, January 16, 2020

Deepfakes, AI, and other technologies are making it tougher for us to filter genuine texts from fake ones. However, spam fighters are also using the same tools for keeping our inboxes clean. 

FREMONT, CA: Spam is very easy to spot. However, AI is offering more powerful tools every other day to produce deceptive content, including video and text involuntarily. The full implications are impossible to predict. However, it can be speculated that the consequences are going to get worse with increasing technological capabilities.

Usage of AI for spam

The early signs of spammers using AI are creating spoof emails for generating communication that is virtually indistinguishable from genuine communication.

The rise of AI comes through various avenues, and spammers can exploit all of them. Neural networks can read messages, comprehend the context of a picture, and also write believable text all without human interference, so spammers are able to create more realistic and customized messages, which are hard to distinguish them from legitimate mail.

However, after a span of supervising, the AI can also tailor the phishing messages to imitate the message style of the victim to specific contacts in their address book for convincing them to click a malicious link.

Spammers can also build deepfakes with AI in which digitally generated or altered images and videos appear to be real. In some cases, the content is an entirely fake person who is handy for an avatar for a forged social account. However, the same idea can be utilized in pictures or text for making spam particularly tailored for a user.

Combating spam with AI

The best part is, our experts in the tech industry too have access to AI.

Google has been using neural networks for a long time for spotting spam, thus bringing its spam detection’s self-reported rate to 99.9 percent. Google’s TensorFlow has helped in blocking image-based text, emails with hidden embedded content, and text from recently created domains that intend to conceal the low amount of fake messages within legitimate traffic.

Following Google, Twitter also purchased a startup called Fabula AI for helping social media service in using AI to fight against spam and abuse.

Moreover, there are also some other automated, intelligent systems for battling against spam, which includes New Zealand security firm Netsafe’s Re:scam, a chatbot that makes use of AI in order to reply to the spammers for eating up their time and driving up costs.

Observing the scale of the problem, automated protections are the key to winning the fight against spam. Since it is a very big problem for humans to manage, it is the perfect place to put AI to work.

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