In May 2020, a Forbes headline predicted “Deepfakes are going to wreck havoc on society.” Fast Forward 4x to 2024 and deepfakes are wrecking havoc albeit to varying proportions in different parts of the world. They have spiralled out of control and are influencing elections in democratic societies going to polls. Countries like South Korea are battling a deeper malaise with school girls being victims of deepfake porn. Elsewhere in Hong Kong, corporates are losing millions of dollars due to finance executives believing deepfakes and transferring funds, while an Indonesian behemoth financial institution is licking its IT wounds after deepfake accounts were used to swindle money. Deepfakes are everywhere on the internet and this is just the start.
In May 2020, a Forbes headline predicted “Deepfakes are going to wreck havoc on society.” Fast Forward 4x to 2024 and deepfakes are wrecking havoc albeit to varying proportions in different parts of the world. They have spiralled out of control and are influencing elections in democratic societies going to polls. Countries like South Korea are battling a deeper malaise with school girls being victims of deepfake porn. Elsewhere in Hong Kong, corporates are losing millions of dollars due to finance executives believing deepfakes and transferring funds, while an Indonesian behemoth financial institution is licking its IT wounds after deepfake accounts were used to swindle money. Deepfakes are everywhere on the internet and this is just the start.
As per Ofcom research, a survey in the UK revealed that Two in Five people have seen at least one deepfake in the last six months – including depictions of sexual content, politicians, and scam adverts. Only one in ten are confident in their ability to spot them. Deepfake detection tools are the only solution to tackle this situation. Let’s have a look at the must-have features in deepfake detection tools of 2024:-
The most important feature when getting a cat is its ability to catch the mouse. In the case of deepfake detection tools, the accuracy of deepfake detection is the most important criterion and feature when choosing the software. Whether the AI relies on eye blink patterns, blood flow analysis, cross-modal media evaluation or phone-viseme mismatch, the underlying goal is that accuracy should be high regardless of the methodology the AI is learning. As of 2024, even the startups have started achieving over 90% accuracy.
You can fight fire with fire or AI with AI only if your deterrence mechanism evolves and adapts to the situation. In the case of generative AI, new threats and sophisticated methods are developing on a daily basis to outwit deepfake detection tools. A constantly learning AI-based model is essential in ensuring adequate protection of data and reputation. Even a well-developed static algorithm can’t outlast a deepfake generation AI mechanism that is deep learning from its past results because deepfake detectors are chasing a moving target with deepfake abilities constantly evolving to hoodwink the detection mechanisms. Deepfake detection software must have its core features run by AI, even if pre-programmed codes can run non-core areas of the software.
Unless your deepfake detection tool can seamlessly integrate into your existing IT infrastructure and flag deepfake activity in real time, you aren’t completely safe from deepfakes. Deepfakes strike effectively when you lower the guard, and every digital activity, right from video calls, emails, messenger texts etc is vulnerable. An organization needs a comprehensive deepfake detection tool to avoid deepfake manipulation that can result in loss of face or finances. Deepfake detection tools that don’t operate in real-time but require a prompt will always leave gaps in IT security. Detection tools operating in silos are like the proverbial police in old-school Bollywood movies. They come after the damage is done, assess the situation and arrest the villain after it’s too late.
Deepfakes are deadly because of their ability to fake credible, real individuals and social engineer attacks by impersonating a trusted person. The best deepfake tools aren’t helpful if a human action compromises the integrity of the system. A user-friendly interface is a necessary feature so that organisations can easily train their human resources to use the tool and remain safe from deepfake threats. A deepfake detection tool that is simple to use will reduce the chances of human fallibilities from impacting the organization. In most deepfake attacks, it’s observed that subordinates who take orders from the deepfake impersonation of their bosses have resulted in financial losses. To decrease the success rate of such deepfake attacks, a user-friendly interface is needed to operate and receive an alert or red flag quickly. Further, a simple interface encourages deepfake detection among non-technical verticals like other teams or law enforcement officials gauging the sentiment of the citizens.
For organisations operating in various sectors, a one-size-fits-all deepfake detection may be unsuitable. Deepfake tools that can be custom-priced and implemented accordingly will ensure that industry standards and threat perception specific to the industry are taken into account. For eg: A financial institution may need thorough deepfake detection capabilities in the onboarding, KYC and transaction stages, while a law enforcement agency will need social media and mainstream media deepfake detection tools. Deepfakes that are customisable to the needs of the users and the industry without compromising the accuracy of the underlying deep learning AI are attractive features.
The deepfake detection industry is growing fast, and technology is evolving at an equally rapid pace. Complex algorithms and deep learning methods are being developed to keep up with deepfakes. In the coming years, the leading deepfake detection tools will continue to add new features. However, an accurate detection capability, an easy user interface, real-time results and customizing features will continue to remain relevant in the foreseeing future. Deepfake detection will grow and achieve a scale comparable to anti-virus softwares in the internet age. In the upcoming decade, deepfake detection tools may also incorporate deepfake deleting tech wherein the deepfakes get automatically eliminated from the system or reported in case the deepfake is posted in the social media. A growing deepfake detection ecosystem is essential so that the harmful impact of generative AI is kept in check while retaining the positive use-cases of deepfakes.
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Your Questions Answered: Navigating Deepfake Detection with pi-labs
Deepfake detection tools use AI-powered algorithms to identify and flag manipulated media such as fake videos, audio, and images. With deepfakes influencing elections, financial fraud, and online scams, these tools are critical for safeguarding businesses, governments, and individuals from cyber threats.
Key features include:
AI enables deepfake detection tools to evolve with new threats. Adaptive AI-based models constantly learn from past data to outsmart deepfake generation techniques, ensuring robust protection against advanced fraud methods.
Yes, Authentify by pi-labs offers real-time integration through APIs or SDKs, seamlessly fitting into IT workflows. This feature ensures that organisations can monitor digital activities like video, audios and images without disrupting operations.
A user-friendly interface simplifies operation and ensures that various non-tech teams can quickly identify and act on potential threats. It also reduces training time and encourages adoption across non-technical teams, such as law enforcement or customer service.
Deepfake detection tools complement, rather than replace, existing cybersecurity measures like antivirus software and firewalls. They address the unique challenges posed by synthetic media, making them an essential addition to a comprehensive security strategy.
The future includes tools with even higher accuracy, deepfake deletion capabilities, and integration with social media platforms for automated reporting. As deepfake threats evolve, detection tools will likely become as widespread as antivirus software in the coming decade.
Yes, Authentify can detect manipulated media used in scams, such as fake video calls, preventing financial losses and safeguarding organisational trust.
Look for tools that align with your industry’s needs, offer real-time detection, and have proven accuracy. Additionally, ensure the tool supports scalable deployment and provides ongoing updates to counter emerging threats. Authentify by pi-labs is one such tool which has helped various state and central agencies on multiple cases.
