Penta Security, AUTOCRYPT unveil AI-era cybersecurity declaration
Penta Security and AUTOCRYPT have released a joint “Declaration on Cybersecurity” in Seoul to define core principles for defending systems as AI becomes a tool for attacks and control. The framework focuses on observability, cross-layer defense and zero-damage design, with an emphasis on protecting both digital and physical systems.
Why it matters: - Penta Security and AUTOCRYPT are trying to define a common security framework for an AI era where attacks can be automated and harder to predict. - The declaration targets both digital systems and Physical AI, where cyber threats can affect real-world operations and control. - The companies say the framework is meant to help organizations preserve control, accountability and core functions even when AI is involved.
What happened: - Penta Security and AUTOCRYPT announced the “Declaration on Cybersecurity” in Seoul on Oct. 27, 2026. - The declaration was developed by cybersecurity experts from both companies. - Eight experts participated, including Seokwoo Lee, Duksoo Kim and Taegyun Kim, along with specialists in cryptography, software engineering, information security, security software strategy and development, and Physical AI. - The announcement was jointly made on Oct. 5 by AUTOCRYPT and Penta Security leaders and research heads.
The details: - The declaration begins with the line, “AI has begun to hack autonomously.” - The experts argue that AI-driven cyber threats require consistent principles that can be applied across situations, instead of separate countermeasures for each attack type. - The core framework is called the “Three Principles of Cyber Defence.” - Observability focuses on measuring and analyzing cybersecurity-related information. - Cross-Layer Defence protects attack surfaces at every layer and coordinates defenses across them. - Zero Damage Design aims to prevent cyberattacks from causing actual damage. - The declaration says cybersecurity should be treated as a fundamental component of every digital system. - The declaration says defenses must leave no gaps. - The declaration says security should be built in from the design stage. - The framework also addresses the risk that AI safety criteria could be circumvented or fail to work as intended. - The proposal includes external controls for AI cybersecurity risks, including verifying and controlling AI actions and clearly designating accountable parties. - Duksoo Kim said the security impact of AI is extending into the physical world as AI becomes involved in decision-making and control of physical systems. - Taegyun Kim said cybersecurity in the AI era must help systems retain control, accountability structures and core functions. - Taegyun Kim said the declaration is meant to start discussion on the technological and institutional principles needed to use AI safely.
Between the lines: - The declaration is less about one product and more about setting a policy and engineering baseline for AI security. - The focus on design-stage security suggests the companies see prevention and resilience as more important than reactive patching. - The emphasis on external control mechanisms signals concern that AI systems may not reliably self-police in high-risk environments.
What's next: - Penta Security and AUTOCRYPT are positioning the declaration as a reference point for future technical and institutional debate on AI safety. - The companies have not announced a formal enforcement mechanism, but the framework could shape how they and others talk about AI cybersecurity requirements going forward.
The bottom line: - Penta Security and AUTOCRYPT want cybersecurity standards for the AI era to be built around observability, layered defense and damage prevention before AI systems fail in the real world.
Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.
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