Did you know?
- 15% of ad spend gets wasted on unsafe inventory.
- Brands lose 30% ROI because of brand safety incidents.
- 75% of consumers avoid brands with unsafe ads.
- Brand recall reduces by 25% on unsafe placements.
That’s the cost of brand safety risks when not taken care of on time.
Brand safety has become a growing concern for digital advertisers and marketers in 2026. Synthetic, AI-generated content, deepfakes, misinformation, disinformation, and wrong messaging are being spread across large volumes all over the internet.
As online fraudsters become more creative and innovative with the techniques they use to commit fraud, and as AI reshapes what “content” even means online, advertisers are also becoming more cautious. If you are one such advertiser, this article is for you.
In the upcoming sections, we will discuss how advertisers and brands can prepare themselves to face and triumph over the ever-evolving brand safety issues in 2026, including the biggest structural shift the industry has seen in years.
Without wasting any time, let’s jump right in.
Why is Brand Safety Essential for Brands in 2026?
Brand safety is important to every single stakeholder involved in the advertising supply chain. Starting from the ad networks to the publishers, it is important to do their part in maintaining brand safety to ensure that their customers continue trusting them.
It helps ensure your brand ads are always aligned with the values your brand carries and does not show up against
Paying attention to brand safety and protection isn’t just important from the point of view of preventing a negative impact on brand reputation. There are many positive benefits to actively pursuing brand safety and monitoring.
For a Positive Brand Image
Brand safety threats take many forms, from ads appearing on websites hosting extremists or questionable content to placements alongside sites engaging in fraudulent activity. Either can seriously damage a brand’s reputation.
While advertisers often have little control and transparency over exact ad placements, consumers don’t see it that way. They can easily assume a brand endorses the views or activities on the site its ad appears next to. This isn’t a hypothetical risk.
The world’s biggest brands have faced this exact issue and used their scale to push some accountability onto publishers like Google. Smaller brands don’t have that leverage, making proactive brand safety monitoring essential rather than optional.
To Make a Strong First Impression
Established brands have history and loyal audiences to fall back on, which helps them recover faster from a brand safety incident.
New and emerging brands don’t have that cushion. A single incident can be far more damaging early on, and even in less severe cases, it often drives up advertising costs, since rebuilding a reputation from scratch usually demands a bigger-than-usual ad spend.
The Post-GARM Reality: Why the Old Brand Safety Methods No Longer Work
For years, brand safety conversations leaned heavily on one shared reference point: the Global Alliance for Responsible Media (GARM), a cross-industry body that gave advertisers a common taxonomy for “unsafe” content.
That one-size-fits-all approach doesn’t hold up in 2026. Content moves faster; formats have multiplied, and risk looks different for every brand. A fixed, generic keyword list cannot keep pace.
What this means practically for advertisers: there is no more shared checklist to lean on.
Many teams have shifted to a “dirty dozen” list of content categories as a baseline, then customized it to their own risk tolerance, which is exactly the approach outlined in the “Key Considerations” section below.
Static keyword blocklists, long treated as a safety net, have also proven unreliable and are increasingly seen as a legacy tool rather than a real safeguard. They tend to over-block legitimate publishers while still missing genuinely unsafe placements.
The net effect is that brand safety in 2026 depends far more on real-time, contextual, AI-driven analysis than on any fixed industry list, which is precisely the gap a dedicated brand safety solution is built to close.
The New Frontier: AI-Generated Content and Ad Adjacency
If misinformation and bot traffic defined the brand safety conversation in 2023, AI-generated content adjacency defines it in 2026. This is a genuinely new category of risk, not a rebrand of an old one:
Over one in five videos recommended by platform algorithms are now estimated to be AI-generated, often low-quality “slop,” per analysis of social platform data.
However, the real risk isn’t AI content itself. Its low-quality, unlabeled AI content sitting next to a brand ad without any way to tell the two apart.
It is also because of this that disclosure is now emerging as an important theme within the industry. The IAB’s framework for AI Transparency & Disclosure, published in early 2026, advocates that advertisers use machine-readable metadata to disclose the use of AI in advertisements, and most members of Gen-Z and millennial generations believe that transparent disclosure of the use of AI would positively influence their purchasing intentions.
Key Considerations to Implement Brand Safety in 2026
Now that we have established the importance of ensuring brand safety, you may be wondering what you can do to ensure the same. Here are some key considerations to keep in mind to ensure your brand’s reputation is not under threat:
SetBrandSafety Guidelines
Developing guidelines for brand safety best practices will allow you to learn what actions you have to undertake (or avoid) in order to ensure the reputation of your brand.
In general, most advertisers try to stay away from any content referring to war, drugs, weaponry, crime, death, and hate-speech. Although such categories can be considered a good foundation for developing the list of unsafe content for your brand, keep in mind that it is not a complete one.
Create and Proactively Update a List of Blocklisted Sites
Once you have identified what type of content you want to avoid, it is time to identify websites that are known to publish such content. This will be your own list of blocklisted websites. You can instruct publishers to never publish your content on any website in this list and ensure your brand does not appear next to questionable content.
To ensure that this exercise has an effect, it is necessary to recognize that this is not just a one-off effort. Static blocklists age quickly and may not detect new threats, especially those such as content farms generated using artificial intelligence technology. It is advisable that you keep on revisiting this list.
Monitor andManage AIContent Adjacency
AI-generated content is now a distinct risk category of its own. t’s increasingly common across feeds and recommended content, and much of it is low-quality or unlabeled, making it harder to spot than traditional unsafe content.
Set clear policies on how close your ads should appear to such content, and where possible, favour placements that disclose AI use upfront. Keep an eye on hallucinated or factually inaccurate AI content in particular, since proximity to it can quietly undermine your brand’s credibility even when your own ad is unaffected.
VetCreator andInfluencer Partnerships as Carefully as Media Placements
Brand safety isn’t limited to programmatic ad placements anymore. Creator and influencer partnerships carry their own, often bigger, safety exposure. A creator’s entire content history is difficult to fully vet, and a single controversial post from months or years ago can resurface and attach itself to your brand overnight.
Despite this, brand safety compliance is still rarely treated as a top success metric in influencer program measurement. Given how much brand equity now sits in creator hands, treating creator vetting with the same rigor as media placement vetting is no longer optional.
Collaborate with a Brand Protection Partner
Any smart advertiser can understand that as important as their list of blocked websites is, it can never be complete. There will always be questionable websites, AI-generated content, and creator content that you may not be aware of. However, just because you aren’t aware of such content, it doesn’t mean that its potential to hurt your brand’s reputation is any less than others.
So how do you protect your brand against threats that you are not even aware of?
With the help of a brand protection partner like mFilterIt’s brand safety tool, your brand protection infrastructure stays bulletproof, with no missed instances, even as the underlying threats keep shifting.
Let’s find out how this is made possible.
How Does mFilterIt’s Brand Safety Solution Help You Protect Your Brand Reputation?
MFilterIt’s brand safety solution helps ensure your brand reputation remains protected with no loopholes that fraudsters can exploit. This is done using the following methods:
Identifying Unsafe Ad Placements
The first step is to verify whether your current ad placements are safe or not. Each placement is analyzed individually. We filter content based on its relevancy, contextuality, and sentiment, and evaluate it against your brand’s own risk tolerance and safety guidelines.
Content, context, and sentiment analysis, not just keywords
We avoid using titles, descriptions, and metadata, which can easily be manipulated or may not even be accurate at all. Our approach makes more sense since content that may look like unsafe content on its own is actually not necessarily unsafe.
For instance, the presence of “smoke” could mean a bombing or a children’s show; “a partially clothed person” could be an advertisement or breastfeeding awareness. In short, our content analysis will help us avoid both underblocking and overblocking.
Check out how you can avoid underblocking and overblocking of ad placements.
Frame-by-frame video recognition
Most tools scan a video once at a high level. mFilterIt goes deeper, analyzing content frame-by-frame rather than depending on static metadata, so a placement that turns unsafe only in a later part of a video doesn’t slip through.
Regional and vernacular language coverage
Our brand safety tool uses a dedicated regional-language keyword corpus and classification models trained specifically on vernacular content, so unsafe placements in regional-language videos get caught with the same accuracy as English content.
Full-funnel web and creator coverage
It evaluates web placements across website basics (URLs, titles, meta tags), site history (prior blacklisting or objectionable content), domain safety, and ownership/hosting details, plus affiliate and influencer monitoring, so brand safety isn’t limited to programmatic video buys alone.
Capabilities of AI/ML
Our brand safety solution also features AI and ML capabilities that ensure there are no loopholes in terms of online brand safety. These capabilities allow our solution to go beyond simple manual efforts or static blocklists to monitor ad placement.
They ensure that your ads consistently appear next to relevant content and analyze each placement in real time to prevent any placements next to questionable material.
Conclusion
Brand safety concerns are growing, and the ground has genuinely shifted beneath the industry: the loss of a shared framework like GARM, the rise of AI-generated content, and the growing weight of creator partnerships all mean the old playbook needs updating. But at the same time, modern advertisers’ ability to fend off threats to their brand reputation is also evolving. Smart advertisers must understand the importance of brand safety and the short- and long-term impacts of brand safety incidents on their ad ROI and their brand’s ability to build a larger loyal customer base. The right brand safety tool can prove incredibly useful in this matter and help advertisers advertise confidently — even without an industry standard to fall back on.
Frequently Asked Questions
What is Brand Safety?
Brand safety is basically ensuring that your brand ads always appear in a safe and valuable environment. The purpose of it is to keep your ads away from unsafe content such as hate speech, politically sensitive, and adult content across platforms.
What is underblocking and overblocking of ad placements?
Under-blocking is when ads show up in tandem with content that is unsafe, unsuitable or inconsistent with the corporate image. The examples here are news items on violence, misinformation, extremism, and negative news.
On the other hand, over-blocking is where ads cannot be shown in tandem with safe and suitable content. In this case, ads cannot get delivered.
Can brand safety solutions identify unsafe placements across platforms?
Yes, brand safety solutions like mFilterIt offer capabilities that identify unsafe ad placements across platforms, including OTT, CTV, programmatic, YouTube, etc. It also provides full funnel coverage for your branding campaigns.