• Dapps:16.23K
  • Blockchains:78
  • Active users:66.47M
  • 30d volume:$303.26B
  • 30d transactions:$879.24M
Google unveils RETVec AI system for advanced spam detection

Google unveils RETVec AI system for advanced spam detection

user avatar

by Liza Tanasova

2 years ago


Google has introduced a state-of-the-art spam detection system powered by artificial intelligence (AI), named RETVec (Resilient and Efficient Text Vectorizer). This innovation is hailed as one of the most significant defense upgrades, designed to identify adversarial text manipulations in real-time, bolstering defenses against phishing attacks, inappropriate comments, and scams that utilize tactics like special characters, emojis, typos, and other evasive elements.

The RETVec text vectorizer is described by Google as a groundbreaking, multilingual system that enhances the resilience and efficiency of text classifiers. It operates seamlessly across all languages and characters without the need for prior text preprocessing, making it an ideal choice for on-device, web, and large-scale text classification deployments. The compact representation of models trained with RETVec translates to faster inference speeds, reducing computational costs and minimizing latency, crucial for large-scale applications and on-device models.

As part of Google's efforts to enhance cybersecurity measures, RETVec has been integrated into the Gmail spam filter, playing a pivotal role in fortifying Gmail inboxes against malicious emails. This move signifies Google's commitment to protecting users from evolving threats in the digital landscape.

In the broader context of combating spam mail, other entities are also leveraging AI solutions. Indian telecom giant Bharati Airtel has introduced an AI/ML-based solution to proactively identify, prevent, and eradicate phishing spam through messaging channels. This solution, currently undergoing testing with HDFC Bank, has demonstrated efficacy by detecting and blocking two million messages daily. Additionally, threat prevention company Perception Point has introduced an advanced detection model that utilizes large language models (LLMs) and deep learning architecture to effectively identify and prevent business email compromise (BEC) attacks influenced by the rise of generative AI technologies.

These developments underscore the industry's commitment to staying ahead of evolving threats, utilizing innovative AI solutions to enhance email security and protect users from sophisticated adversarial tactics.

0

Rewards

chest
chest
chest
chest

More rewards

Discover enhanced rewards on our social media.

chest

Other news

NexChain Aims for AI-Optimized Blockchain

chest

NexChain is positioning itself as an AI-optimized Layer 1 blockchain with cross-chain interoperability.

user avatarRajesh Kumar

Understanding Withdrawal Delays in Solana Casinos

chest

Understanding withdrawal delays in Solana casinos involves recognizing factors like manual reviews, KYC verification, and network congestion that can affect payout speed.

user avatarArif Mukhtar

Ranking the Best Solana Casinos for Instant Withdrawals

chest

A ranking of the best Solana casinos for instant withdrawals, highlighting platforms like CryptoGames, BCGame, Stake, Cloudbet, and Bitcasinoio.

user avatarMiguel Rodriguez

Solana Casinos Revolutionize Withdrawal Speed

chest

Solana-based casinos are changing the game by offering instant withdrawals, allowing players to access their winnings in mere minutes or even seconds.

user avatarLuis Flores

Polkadot Continues Technical Advancements Despite Price Stagnation

chest

Polkadot is making consistent engineering advancements while facing stagnant price performance.

user avatarAndrew Smith

CleanSpark Shares Decline Amid Insider Sales and Market Volatility

chest

CleanSpark Inc shares dropped significantly due to insider sales and market volatility, with analysts reacting by downgrading the stock.

user avatarMaria Gutierrez

Important disclaimer: The information presented on the Dapp.Expert portal is intended solely for informational purposes and does not constitute an investment recommendation or a guide to action in the field of cryptocurrencies. The Dapp.Expert team is not responsible for any potential losses or missed profits associated with the use of materials published on the site. Before making investment decisions in cryptocurrencies, we recommend consulting a qualified financial advisor.