Deepfake Defense: Top Strategies from Cybersecurity Leaders
The convergence of artificial intelligence and cybercrime has given rise to the chilling new threat of deepfakes.
These highly realistic forgeries, capable of impersonating individuals and manipulating events, are predicted to fuel a surge in sophisticated cyberattacks in 2025 and beyond.
As deepfake technology becomes increasingly accessible and convincing, protecting ourselves and our organizations from this emerging danger is paramount.
To address this urgent challenge, we turned to our Techronicler community of leaders, asking them to share their top recommendations for safeguarding against AI-driven, deepfake-enabled cyberattacks.
Their insights provide a crucial guide for navigating this evolving threat landscape.
Read on!
Elle Kingsley
The rise of AI-driven deepfake-enabled cyberattacks requires preventive and proactive measures, rather than reactive.
Although it may seem obvious, education and digital literacy are essential and possibly the biggest impact that can help individuals recognise phishing scams and video/voice deepfakes.
These skills are more important than ever in a time of deepfake political news, the age of misinformation and even just cyberattacks.
It’s more important than ever that users begin to question everything they see, especially given predictions such as 95% of the internet being synthetically generated by 2026.
Tools like scam-fighting AI bots, such as dAIsy, can help users determine suspicious communications, which will be super helpful.
Meanwhile, businesses should prioritise adopting content authenticity standards and implementing digital passports for data provenance, as advocated by OnePassport.
Also essential is in-depth training for employees, encouraging them to engage with AI and not Investing in regular employee training and advanced cybersecurity solutions.
This will only further strengthen defences against AI-enabled threats, which is especially relevant as 95% of cybersecurity threats come from human error.

Elle Farrell-Kingsley
Presenter, Researcher Advisor, Author, Elle F. Kingsley
Ben Michael
In addition to making sure that their cybersecurity measures are strong, which is of course incredibly important, it could be a great idea for businesses to purchase cyber insurance.
This type of insurance is specifically designed to help businesses handle the financial aspects of a cyber attack.
For example, if a data breach is successful, cyber insurance can help pay for things like legal fees, business interruption, financial losses, and elements of liability. It can even help fund the steps necessary for the reparation of your image as a business.
Cyber insurance is something that you don’t want to have to use, but you don’t want to be caught without either.
Michael Jung
As AI-driven deepfake-enabled cyberattacks increase, individuals and businesses can protect themselves by implementing specialized solutions like deepfake detection technology.
These systems use a multi-step method to thoroughly analyze videos, images, and audio, verifying the authenticity of content.
By continuously analyzing internet media and tracking specific individuals, these specialized solutions mitigate the risks associated with deepfakes.
While industry initiatives are important, a multi-faceted approach that includes specialized tools and public awareness is essential for effectively tackling the deepfake challenge.
For now, detection solutions help review suspicious content and assist in investigating fake deepfake videos to reduce further harm.
DeepBrain’s solutions are trusted by law enforcement, including South Korea’s National Police Agency, to improve deepfake detection software for quicker responses to related crimes.
Alex Bekker
For businesses, battling AI with AI is, for now, the only viable method of countering emerging deepfake threats at scale.
Intelligent image analysis models trained on petabytes of real and fake images can accurately spot fake patterns that traditional security tools and even the human eye cannot detect.
These algorithms excel at two key tasks.
First, they automatically match incoming biometric data to reference sources (e.g., a customer’s ID photo in your database) and confirm the person’s identity.
Second, they validate media authenticity and analyze the person’s liveness.
The latter is vital for any businesses relying on fully remote customer onboarding, such as fintech SaaS providers, telemedicine services, and ecommerce marketplaces.

Alex Bekker
Head of Data Analytics Department, ScienceSoft
Nell VH
In 2025, people and organizations must take a multifaceted approach to defending against deepfake-enabled, AI-driven cyberattacks.
Regular staff training, public awareness efforts, purchasing sophisticated detection technologies, data security measures like encryption and frequent upgrades, and verification procedures like digital signatures and source verification are some strategies.
It’s also critical to keep up with new laws and regulations, make sure rules are followed, create an incident response plan, take part in cybersecurity forums, and work with colleagues in the field.
To lower the chance of eavesdropping, it’s also essential to practice critical thinking, personal awareness, and secure communication methods.

Nell VH
Co-Founder, TheSiteSale
Andrew Pickett
With AI-driven deepfake cyberattacks on the rise, individuals and businesses must take proactive steps to protect their digital security. A multi-layered approach combining technical defenses with user education is key. This includes:
- Robust Cybersecurity Measures: Stay updated with the latest security software, firewalls, and encryption techniques. Regularly patch and update systems to address vulnerabilities that cybercriminals may exploit.
- Employee Training and Awareness: Invest in comprehensive cybersecurity training programs to educate employees about the risks of deepfake attacks. Teach them how to spot suspicious emails, phishing attempts, and social engineering tactics.
- Implement Two-Factor Authentication: Enable two-factor authentication (2FA) for all accounts and systems. This adds an extra layer of security by requiring users to provide an additional verification factor, such as a fingerprint or SMS code.
- Monitor Online Presence: Regularly monitor your online presence to identify potential instances of deepfake content. Stay vigilant about what information is publicly available and ensure privacy settings are appropriately configured.
- Conduct Regular Risk Assessments: Continuously assess and update your cybersecurity strategy to adapt to evolving threats. Perform regular risk assessments to identify vulnerabilities and implement necessary controls.
The best advice I can give is to stay proactive and cautious about the information you share online. These steps can help individuals and businesses protect against AI-driven deepfake cyberattacks in 2025 and beyond.

Andrew Pickett
Trial Attorney, Andrew Pickett Law
Shrav Mehta
Regular penetration testing and security assessments can simulate the tactics used by real-world attackers.
Conducting these exercises regularly will uncover weaknesses in infrastructure, applications and the human factors that attackers could exploit, which allows security teams to identify and fix vulnerabilities before they can be exploited.
Pen testing and security assessments also test your company’s incident response capabilities, ensuring that teams are prepared to quickly and effectively address social engineering attacks and other security incidents.
After each exercise is complete, the results can be used to tailor future security training to the specific vulnerabilities and tactics that could be used against the organization.

Shrav Mehta
CEO and Founder, Secureframe
Joe Cronin
Protecting against attacks that use deepfake requires robust cybersecurity safeguards.
If companies want to lessen the likelihood of a deepfake assault using their sensitive data, they should secure their networks with encryption protocols, intrusion detection systems, and firewalls that are up-to-date.
Users can lessen the likelihood of attackers using publicly available content to build deepfakes by protecting their accounts with strong, unique passwords and activating privacy settings on social media.

Joe Cronin
President, International Citizens Insurance
Rudy Bush
Deepfakes can be made using AI, but they can also be detected using AI.
Companies can purchase AI-driven software that can detect manipulation in audio and video.
These instruments can detect minor visual flaws, natural-sounding voice patterns, and inconsistent lip motions that a human eye could miss.
If people want to watch videos or verify suspicious content, they should think about using an app or website that can detect fakes.

Rudy Bush
Founder, Wiringo
Alex Taylor
Strict verification methods should be implemented by both individuals and corporations.
For companies, this means securing all financial and communication transactions with multi-factor authentication (MFA).
It is recommended to use additional channels, like a known phone number or email address, to double-check any calls to action that are based on spoken or video instructions.
To be safe, people should check strange requests by themselves, particularly when dealing with money or personal information.

Alex Taylor
Head of Marketing, CrownTV
On behalf of the Techronicler community of readers, we thank these leaders and experts for taking the time to share valuable insights that stem from years of experience and in-depth expertise in their respective niches.
If you wish to showcase your experience and expertise, participate in industry-leading discussions, and add visibility and impact to your personal brand and business, get in touch with the Techronicler team to feature in our fast-growing publication.