Meta has rolled out a fresh set of AI-powered tools aimed at helping advertisers design more engaging and personalized promotional content. These new features include the ability to turn images into short videos, brand-focused image generation, AI-powered chat assistants, and tools that enhance shopping experiences within ads.
One of the standout additions is Meta’s video creation feature, which allows businesses to transform multiple images into animated video clips. These clips can include music and text, making it easier for advertisers to produce dynamic visual content without needing video editing skills. Because the videos are short, they’re less likely to appear distorted or lose quality, a common issue in longer AI-generated videos.
Currently, this feature is being tested with select business partners.
Another tool in development is “Video Highlights,” which uses AI to identify the most important parts of a video. Viewers will be able to jump directly to these key scenes, guided by short phrases and image previews chosen by the system. This can help businesses convey their product value more clearly and keep viewers engaged.
Meta is also enhancing its AI image creation tools. Advertisers will now be able to insert their logos and brand colors directly into the images generated by AI. This ensures that their brand identity stays consistent across all marketing content. Additionally, AI-generated ad text can now reflect the personality or style of the brand, offering a more customized tone in promotions.
Another major update is the introduction of “Business AIs”, specialized chat assistants embedded within ads. These bots are designed to answer common customer questions about a product or service. Available in both text and voice formats, these virtual assistants aim to improve customer interaction by addressing queries instantly and guiding users toward making a purchase.
Meta is also experimenting with new features like clickable call-to-action (CTA) stickers for Stories and Reels ads, and virtual try-on tools that use AI to display clothing on digital models of various body types.
These developments are part of Meta’s broader push to make advertising more efficient through automation. The company’s Advantage+ ad system is already showing results, with Meta reporting a 22% average increase in return on ad spend (ROAS) for brands using this approach. Advantage+ uses AI to analyze user behavior, optimize ad formats, and identify potential customers based on real-time data.
While AI is unlikely to replace human creativity entirely, these tools can simplify the ad creation process and help brands connect with their audiences more effectively.
Pig Butchering is a “form of investment fraud in the crypto space where scammers build relationships with targets through social engineering and then lure them to invest crypto in fake opportunities or platforms created by the scammer,” according to The Department of Financial Protection & Innovation.
Pig butchering has squeezed billions of dollars from victims globally. Cambodian-based Huione Group gang stole over $4 billion from August 2021 to January 2025, the New York Post reported.
Individuals should watch out for certain things to avoid getting caught in these extortion schemes. Scammers often target seniors and individuals who are not well aware about cybercrime. The National Council on Aging cautions that such scams begin with receiving messages from scammers pretending to be someone else. Never respond or send money to random people who text you online, even if the story sounds compelling. Scammers rely on earning your trust, a sob story is one easy way for them to trick you.
Another red flag is receiving SMS or social media texts that send you to other platforms like WeChat or Telegram, which have fewer regulations. Scammers also convince users to invest their money, which they claim to return with big profits. In one incident, the scammer even asked the victim to “go to a loan shark” to get the money.
Last year, Meta blocked over 2 million accounts that were promoting crypto investment scams such as pig butchering. Businesses have increased efforts to combat this issue, but the problem still very much exists. A major step is raising awareness via public posts broadcasting safety tips among individuals to prevent them from falling prey to such scams.
Organizations have now started releasing warnings in Instagram DMs and Facebook Messenger warning users about “potentially suspicious interactions or cold outreach from people you don’t know”, which is a good initiative. Banks have started tipping of customers about the dangers of scams when sending money online.
Many people are changing their social media habits and opting out of many services. Facebook has witnessed a large exodus of users deserting the platform after the announcement in March that Meta was terminating the independent fact-checking on its platform. However, fact-checking has been replaced with community notes, letting users make changes to potentially false/misleading information.
Users having years of photos and posts on Facebook are confused about how to collect their data before removing their accounts. If you also feel the same problem, this post will help you delete Facebook permanently, while taking all your information on the way out.
For users who do not want to be on Facebook anymore, deleting their account is the only way to completely remove yourself from the platform. If you are not sure, deactivating your account allows you to have some life off of Facebook without account deletion.
Make sure to remove third-party Facebook logins before deleting your account.
Third-party apps like DoorDash and Spotify allow you to log in using your Facebook account. This lets you log in without remembering another password, but if you’re planning on deleting Facebook, you have to update your login settings. That is because if you delete your account, there will not be another Facebook account for the user to log in through.
Fortunately, there is another simple way to find which of your sites and applications are connected to Facebook and delete them before removing your account. Once you disconnect from other websites and applications from Facebook, you will need to adjust how you login to them.
Users should try specific applications and websites to set new passwords or passkeys or log in via a single-service sign-on option, such as Google.
If you want to stay away from Facebook, you have two choices. Either delete your account permanently, or you can disable it temporarily to deactivate it.
WhatsApp has introduced ‘Private Processing,’ a new tech that allows users to use advanced AI features by offloading tasks to privacy-preserving cloud servers, without exposing their chat to Meta. Meta claims even it cannot see the messages while processing them. The system employs encrypted cloud infrastructure and hardware-based isolation without making it visible to anyone, even Meta, or processing data.
For those who decide to use Private Processing, the system works in an obscure verification via the user’s WhatsApp client to confirm the user’s validity.
Meta claims this system keeps WhatsApp’s end-to-end encryption intact while offering AI features in chats. However, the feature currently applies only to select use cases and excludes Meta’s broader AI deployments, including those used in India’s public service systems.
Private processing employs Trusted Execution Environments (TEEs) — safe virtual machines that use cloud infrastructure to keep AI requests hidden.
According to Meta, the Private processing is a response to privacy questions around AI and messaging. WhatsApp has now joined other companies like Apple that have introduced confidential AI computing models in the previous year. “To validate our implementation of these and other security principles, independent security researchers will be able to continuously verify our privacy and security architecture and its integrity,” Meta said.
It is similar to Apple’s private cloud computing in terms of public transparency and stateless processing. Currently, however, WhatsApp is using them only for select features. Apple, on the other hand, has declared plans to implement this model throughout all its AI tools, whereas WhatsApp has not made such claims, yet.
WhatsApp says, “Private Processing uses anonymous credentials to authenticate users over OHTTP. This way, Private Processing can authenticate users to the Private Processing system but remains unable to identify them.”
Meta has introduced a fresh set of artificial intelligence models under the name Llama 4. This release includes three new versions: Scout, Maverick, and Behemoth. Each one has been designed to better understand and respond to a mix of text, images, and videos.
The reason behind this launch seems to be rising competition, especially from Chinese companies like DeepSeek. Their recent models have been doing so well that Meta rushed to improve its own tools to keep up.
Where You Can Access Llama 4
The Scout and Maverick models are now available online through Meta’s official site and other developer platforms like Hugging Face. However, Behemoth is still in the testing phase and hasn’t been released yet.
Meta has already added Llama 4 to its own digital assistant, which is built into apps like WhatsApp, Instagram, and Messenger in several countries. However, some special features are only available in the U.S. and only in English for now.
Who Can and Can’t Use It
Meta has placed some limits on who can access Llama 4. People and companies based in the European Union are not allowed to use or share these models, likely due to strict data rules in that region. Also, very large companies, those with over 700 million monthly users — must first get permission from Meta.
Smarter Design, Better Performance
Llama 4 is Meta’s first release using a new design method called "Mixture of Experts." This means the model can divide big tasks into smaller parts and assign each part to a different “expert” inside the system. This makes it faster and more efficient.
For example, the Maverick model has 400 billion total "parameters" (which basically measure how smart it is), but it only uses a small part of them at a time. Scout, the lighter model, is great for reading long documents or big sections of code and can run on a single high-powered computer chip. Maverick needs a more advanced system to function properly.
Behemoth: The Most Advanced One Yet
Behemoth, which is still being developed, will be the most powerful version. It will have a huge amount of learning data and is expected to perform better than many leading models in science and math-based tasks. But it will also need very strong computing systems to work.
One big change in this new version is how it handles sensitive topics. Previous models often avoided difficult questions. Now, Llama 4 is trained to give clearer, fairer answers on political or controversial issues. Meta says the goal is to make the AI more helpful to users, no matter what their views are.
Meta is dumping independent fact-checkers on Instagram and Facebook, similar to what X (earlier Twitter) did, replacing them with “community notes” where users’ comments decide the accuracy of a post.
On Tuesday, Mark Zuckerberg in a video said third-party moderators were "too politically biased" and it was "time to get back to our roots around free expression".
Tech executives are trying to build better relations with the new US President Donald Trump who will take oath this month, the new move is a step in that direction.
The Republican party and Trump have called out Meta for its fact-checking policies, stressing it censors right-wing voices on its platform.
After the new policy was announced, Trump said in a news conference he was pleased with Meta’s decision to have "come a long way".
Online anti-hate speech activists expressed disappointment with the shift, claiming it was motivated by a desire to align with Trump.
“Zuckerberg's announcement is a blatant attempt to cozy up to the incoming Trump administration – with harmful implications. Claiming to avoid "censorship" is a political move to avoid taking responsibility for hate and disinformation that platforms encourage and facilitate,” said Ava Lee of Global Witness. This organization sees itself as trying to bring big tech like Meta accountable.
The present fact-checking program of Meta was introduced in 2016, it sends posts that seem false or misleading to independent fact-checking organizations to judge their credibility.
Posts marked as misleading have labels attached to them, giving users more information, and move down in viewers’ social media feeds. This will now be replaced by community notes, starting in the US. Meta has no “immediate plans” to remove third-party fact-checkers in the EU or the UK.
The new community notes move has been copied from platform X, which was started after Elon Musk bought Twitter.
It includes people with opposing opinions agreeing on notes that provide insight or explanation to disputed posts.
We will allow more speech by lifting restrictions on some topics that are part of mainstream discourse and focusing our enforcement on illegal and high-severity violations. We will take a more personalized approach to political content, so that people who want to see more of it in their feeds can.
Artificial Intelligence (AI) has emerged as a transformative force, reshaping industries and delivering unprecedented value to businesses worldwide. From automating mundane tasks to offering predictive insights, AI has catalyzed innovation on a massive scale. However, its rapid adoption raises significant concerns about privacy, data ethics, and transparency, prompting urgent discussions on regulation. The need for robust frameworks has grown even more critical as AI technologies become deeply entrenched in everyday operations.
During the early development stages of AI, major tech players such as Meta and OpenAI often used public and private datasets without clear guidelines in place. This unregulated experimentation highlighted glaring gaps in data ethics, leading to calls for significant regulatory oversight. The absence of structured frameworks not only undermined public trust but also raised legal and ethical questions about the use of sensitive information.
Today, the regulatory landscape is evolving to address these issues. Europe has taken a pioneering role with the EU AI Act, which came into effect on August 1, 2024. This legislation classifies AI applications based on their level of risk and enforces stricter controls on higher-risk systems to ensure public safety and confidence. By categorizing AI into levels such as minimal, limited, and high risk, the Act provides a comprehensive framework for accountability. On the other hand, the United States is still in the early stages of federal discussions, though states like California and Colorado have enacted targeted laws emphasizing transparency and user privacy in AI applications.
AI’s impact on marketing is undeniable, with tools revolutionizing how teams create content, interact with customers, and analyze data. According to a survey, 93% of marketers using AI rely on it to accelerate content creation, optimize campaigns, and deliver personalized experiences. However, this reliance comes with challenges such as intellectual property infringement, algorithmic biases, and ethical dilemmas surrounding AI-generated material.
As regulatory frameworks mature, marketing professionals must align their practices with emerging compliance standards. Proactively adopting ethical AI usage not only mitigates risks but also prepares businesses for stricter regulations. Ethical practices can safeguard brand reputation, ensuring that marketing teams remain compliant and trusted by their audiences.
AI regulation is not just a passing concern but a critical element in shaping its responsible use. By embracing transparency, accountability, and secure data practices, businesses can stay ahead of legal changes while fostering trust with customers and stakeholders. Adopting ethical AI practices ensures that organizations are future-proof, resilient, and prepared to navigate the complexities of the evolving regulatory landscape.
As AI continues to advance, the onus is on businesses to balance innovation with responsibility. Marketing teams, in particular, have an opportunity to demonstrate leadership by integrating AI in ways that enhance customer relationships while upholding ethical and legal standards. By doing so, organizations can not only thrive in an AI-driven world but also set an example for others to follow.
Cyble Research and Intelligence Lab recently unearthed an elaborate, multi-stage malware attack targeting not only job seekers but also digital marketing professionals. The hackers are a Vietnamese threat actor who was utilising different sophisticated attacks on systems by making use of a Quasar RAT tool that gives a hacker complete control of an infected computer.
Phishing emails and LNK files as entry points
The attack initiates with phishing emails claiming an attached archive file. Inside the archive is a malicious LNK, disguised as a PDF. Once the LNK is launched, it executes PowerShell commands, which download additional malicious scripts from a third-party source, thus avoiding most detection solutions. The method proves very potent in non-virtualized environments in which malware remains undiscovered inside the system.
Quasar RAT Deployment
Then, the attackers decrypt the malware payload with hardcoded keys. Quasar RAT - a kind of RAT allowing hackers to obtain total access over the compromised system - is started up. Data can be stolen, other malware can be planted, and even the infected device can be used remotely by the attackers.
The campaign targets digital marketers primarily in the United States, using Meta (Facebook, Instagram) advertisements. The malware files utilised in the attack were designed for this type of user, which has amplified its chances.
Spread using Ducktail Malware
In July 2022, the same Vietnamese threat actors expanded their activities through the launch of Ducktail malware that specifically targeted digital marketing professionals. The group included information stealers and other RATs in its attacks. The group has used MaaS platforms to scale up and make their campaign versatile over time.
Evasion of Detection in Virtual Environments
Its superiority in evading virtual environment detection makes this malware attack all the more sophisticated. Here, attackers use the presence of the "output.bat" file to determine whether it's running in a virtual environment or not by scanning for several hard drive manufacturers and virtual machine signatures like "QEMU," "VirtualBox," etc. In case malware detects it's been run from a virtual machine, it lets execution stop analysis right away.
It proceeds with the attack if no virtual environment is detected. Here, it decodes more scripts, to which include a fake PDF and a batch file. These are stored in the victim's Downloads folder using seemingly innocent names such as "PositionApplied_VoyMedia.pdf."
Decryption and Execution Methods
Once the PowerShell script is fully executed, then decrypted strings from the "output.bat" file using hardcoded keys and decompressed through GZip streams. Then, it will produce a .NET executable running in the memory which will be providing further evasion for the malware against detection by antivirus software.
But the malware itself, also performs a whole cycle of checks to determine whether it is running in a sandbox or emulated environment. It can look for some known file names and DLL modules common in virtualized settings as well as measure discrepancies in time to detect emulation. If these checks return a result that suggests a virtual environment, then the malware will throw an exception, bringing all subsequent activity to a halt.
Once the malware has managed to infect a system, it immediately looks for administrative privileges. If they are not found, then it uses PowerShell commands for privilege escalation. Once it gains administrative control, it ensures persistence in the sense that it copies itself to a hidden folder inside the Windows directory. It also modifies the Windows registry so that it can execute automatically at startup.
Defence Evasion and Further Damage
For the same purpose, the malware employs supplementary defence evasion techniques to go unnoticed. It disables Windows event tracing functions which makes it more difficult to track its activities by security software. In addition to this, it encrypts and compresses key components in a way that their actions are even more unidentifiable.
This last stage of the attack uses Quasar RAT. Both data stealing and long-term access to the infected system are done through the use of a remote access tool. This adapted version of Quasar RAT is less detectable, so the attackers will not easily have it identified or removed by security software.
This is a multi-stage malware attack against digital marketing professionals, especially those working in Meta advertising. It's a very sophisticated and dangerous operation with phishing emails, PowerShell commands combined with advanced evasion techniques to make it even harder to detect and stop. Security experts advise on extreme caution while handling attachment files from emails, specifically in a non-virtualized environment; all the software and systems must be up to date to prevent this kind of threat, they conclude.