This is according to a new report from threat exposure management platform, NordStellar. Analyzing discussions on the dark web, the researchers found that between January and May this year, there were 924 posts about DFaaS, up 39% compared to the same period last year, when there were 663 similar posts. “The rapid growth in popularity of deepfakes as a service is likely accelerated by advancements in generative AI, which help cybercriminals in two ways — by speeding up the creation of deepfakes and making them hyper-realistic,” says Vakaris Noreika, cybersecurity expert at NordStellar. TechRadar is the main source layer for now, and the rest should be read as a signal that is still widening. On the device side, the useful angle is whether a technical change actually alters feel, lifespan, or upgrade cost in real use.
What is happening now
This is according to a new report from threat exposure management platform, NordStellar. TechRadar form the main source layer behind the core facts in this piece. This is still a developing thread, so the useful part is knowing which source signals are hardening and which ones still need caution. With devices, practical impact usually shows up in battery life, heat, stability, and long-term usability rather than in a few flashy headline numbers.
Where the sources line up
TechRadar is the main source layer for now, and the rest should be read as a signal that is still widening. Analyzing discussions on the dark web, the researchers found that between January and May this year, there were 924 posts about DFaaS, up 39% compared to the same period last year, when there were 663 similar posts. TechRadar form the main source layer behind the core facts in this piece.
The details worth keeping
“The rapid growth in popularity of deepfakes as a service is likely accelerated by advancements in generative AI, which help cybercriminals in two ways — by speeding up the creation of deepfakes and making them hyper-realistic,” says Vakaris Noreika, cybersecurity expert at NordStellar. On the device side, the useful angle is whether a technical change actually alters feel, lifespan, or upgrade cost in real use.
Why this matters most
The signal is strong enough to deserve attention, but it still needs to be read as something developing rather than fully settled. With 1 source layers on the table, the part worth reading most closely is where firm facts meet the market's early reaction. “Ultimately, this service lowers the barrier to entry for deepfake technology, enabling threat actors to deploy highly deceptive attacks at a larger scale, regardless of their personal technical skill set.
What to watch next
The next readout is price, device coverage, and whether the change feels real once the hardware reaches users. Patrick Tech Media will keep checking rollout speed, user reaction, and how TechRadar update the next pieces. From 1 early signals, the piece keeps 1 references that are useful for locking the main details in place. That is why the useful reading move is not to stop at the headline, but to compare the promise, the workflow change, and the likely cost before deciding anything.