Sora 2 represents a next-generation deepfake video synthesis technology capable of creating highly believable synthetic videos that can convincingly mimic real individuals and scenarios. Unlike traditional vulnerabilities that exploit software flaws, this threat arises from the misuse of AI-generated content to deceive human operators and automated systems. Threat actors can use Sora 2 to fabricate videos for fraudulent purposes such as CEO fraud, social engineering attacks, disinformation campaigns, and identity impersonation. The technology's sophistication reduces the effectiveness of conventional verification methods, increasing the risk of successful deception. Although no direct software vulnerabilities or exploits are reported, the threat lies in the erosion of trust and the potential for significant financial and reputational damage. European organizations, especially those in finance, government, and critical infrastructure, face heightened risk due to their reliance on video communications and digital identity verification. The medium severity rating reflects the substantial impact on confidentiality and integrity, moderate ease of exploitation (no technical skills needed to generate deepfakes), and the broad scope of affected sectors. Mitigation strategies must include multi-factor authentication, enhanced user training to recognize deepfakes, deployment of AI-based deepfake detection tools, and strict verification protocols for sensitive communications. Continuous monitoring for emerging deepfake threats and collaboration with cybersecurity communities will be essential to stay ahead of evolving tactics.

The misuse of Sora 2 deepfake technology can lead to significant impacts on European organizations, primarily affecting confidentiality and integrity. Fraudulent videos can bypass traditional security controls by manipulating human trust, leading to unauthorized access, financial fraud, and data breaches. The availability of convincing deepfakes may also undermine public trust in institutions and media, complicating incident response and crisis management. Organizations relying on video-based identity verification or remote communications are particularly vulnerable. The threat can disrupt operations, cause reputational damage, and result in financial losses. Given the medium severity, the impact is serious but can be mitigated with proper controls. The risk extends across sectors, with critical infrastructure, financial services, and government agencies being prime targets due to their strategic importance and potential for high-value fraud. The evolving nature of deepfake technology means that the threat landscape will likely grow more complex, requiring ongoing vigilance and adaptation.

1. Implement multi-factor authentication (MFA) for all sensitive transactions and communications to reduce reliance on video or voice verification alone. 2. Deploy AI-driven deepfake detection solutions that analyze video content for signs of manipulation, integrating these tools into communication platforms. 3. Establish strict verification protocols for high-risk interactions, including secondary confirmation channels (e.g., phone calls, in-person verification). 4. Conduct regular user awareness training focused on recognizing deepfake content and social engineering tactics. 5. Monitor emerging deepfake technologies and threat intelligence to update defenses proactively. 6. Limit the use of video-based authentication in critical processes unless supplemented by robust verification methods. 7. Collaborate with industry groups and law enforcement to share information about deepfake threats and incidents. 8. Develop incident response plans that specifically address deepfake-related fraud scenarios. 9. Encourage digital literacy and skepticism among employees to reduce the likelihood of successful deception. 10. Invest in research and development of advanced detection and authentication technologies tailored to evolving deepfake capabilities.