MyCena® AI Security Industry Report Summary

Imagine arriving at your office to find that your entire financial system was accessed overnight—not through a sophisticated hack, but simply by logging in. The intruders used AI-generated deeptakes that matched your employees’ digital identities perfectly. No alarms went off. No security measures were triggered. By the time anyone noticed, millions were already gone, and the breach had compromised not just your data but your clients' trust as well. This isn't a future scenario; it's the reality of today's AI-driven cyberattacks.

The rapid rise of artificial intelligence (AI) has exposed critical vulnerabilities in traditional identity-based access control systems. Historically, cybersecurity models have conflated identification (who you are) with authentication (if you should have access), leading to systemic weaknesses that AI-driven attacks increasingly exploit. Traditional security measures such as Multi-Factor Authentication (MFA), Identity and Access Management (IAM), Privileged Access Management (PAM), and Single Sign-On (SSO) primarily focus on verifying user identities but rely on human-managed credentials, creating a single, exploitable point of failure.

AI tools enable attackers to execute thousands of automated credential-based attacks per second, craft deepfakes, and manipulate behavior patterns. INTERPOL Secretary General Jürgen Stock highlighted this escalating threat: “A new dimension of attacks against our communities, where criminal organizations are weaponizing AI technologies to launch attacks including deepfakes, voice simulations, and fraudulent documentation at an industrial scale.” A HiddenLayer survey further underscores this risk, with “77% of organizations experiencing AI security breaches in the past year.”

This paper introduces Multi-Layer Dynamic Access Encryption Security (ML-DAES), a new security model developed by MyCena®. Unlike traditional methods, ML-DAES uses possession-based authentication, generating encrypted, segmented credentials that are never seen, shared, or managed by humans. As Julia O'Toole, Co-CEO of MyCena®, states:

"You can't steal from people what they don’t have.”

ML-DAES offers robust security benefits by eliminating credential-based attacks such as phishing, credential theft, and lateral movement, preventing potential financial losses averaging $4.45 million per breach, automating compliance with regulations like GDPR, DORA, SOC2, and ISO 27001, and enhancing operational efficiency by reducing IT workload and streamlining audit preparation.

The findings suggest that ML-DAES is not merely a technological upgrade but a paradigm shift in cybersecurity strategy. By transitioning from identity-based to possession-based authentication, organizations can build a future-proof defense against evolving AI-driven threats, ensuring robust security, compliance, and operational efficiency in the digital age.