In our relentless pursuit of a secure and trusted digital future, we are proud to announce our latest initiative in AI cyber defense. This forward-looking endeavor encompasses investing in an AI-ready infrastructure, releasing cutting-edge tools for defenders, and fostering new research and AI security training. With these commitments, we aim to not only protect our collective digital landscape but also empower and advance the potential of AI technology.
Security is paramount when it comes to AI systems. Hence, we firmly believe in adopting a secure-by-design and secure-by-default approach to ensure the protection of AI security technologies from the Defender’s Dilemma. To reinforce this belief, we have established the Secure AI Framework, promoting collaborative efforts for securing AI systems based on best practices. Our investment in a secure, AI-ready network of global data centers demonstrates our commitment to providing secure and reliable access to digital services, including the state-of-the-art Vertex AI platform.
Recognizing the need for a robust cybersecurity ecosystem, we are excited to introduce the “AI for Cybersecurity” cohort. Consisting of 17 startups from the UK, US, and EU, this program, initiated under the Google for Startups Growth Academy, will strengthen the transatlantic cybersecurity network. By facilitating internationalization strategies, equipping participants with AI tools, and imparting the skills necessary to use them effectively, we aim to bolster the defenders of cyberspace.
In addition to securing our digital infrastructure, we are focused on empowering organizations to harness the full potential of AI while mitigating risks. Through our Google.org Cybersecurity Seminars Program, we provide support to universities across Europe, enabling them to train the next generation of cybersecurity experts from underserved communities. With the inclusion of AI-focused modules, these seminars equip students with the knowledge and skills necessary to face the evolving threats of the digital age.
Furthermore, we are thrilled to announce the open-sourcing of Magika, an AI-powered tool that aids defenders in identifying file types, a crucial aspect of malware detection. Magika has already been instrumental in protecting platforms such as Gmail, Drive, Safe Browsing, and by our VirusTotal team to ensure a safer online environment. Its superior performance provides an accuracy boost of up to 30% and up to 95% higher precision on traditionally challenging content like VBA, JavaScript, and Powershell, surpassing conventional methods of file identification.
To drive the advancement of AI-powered security, we are dedicating $2 million in research grants and strategic partnerships. This funding will support cybersecurity research initiatives using AI, with a focus on enhancing code verification, studying the intersection of AI and cyber offense, and developing language models that are resilient to threats. It is through collaborations with esteemed institutions such as The University of Chicago, Carnegie Mellon, and Stanford that we aim to generate breakthroughs in AI-powered security.
We stand on the precipice of an AI revolution, unlocking immense potential in solving security challenges and bringing us closer to the safe, secure, and trusted digital world we all deserve. While the promise of AI extends beyond security, it is crucial to tackle this foundational aspect as we embark on a transformative journey towards a brighter future. Together, we will forge new frontiers in AI cyber defense, preserving and advancing our collective digital future.
Frequently Asked Questions (FAQ):
Q: What is the focus of the latest initiative in AI cyber defense?
A: The latest initiative in AI cyber defense focuses on investing in an AI-ready infrastructure, releasing cutting-edge tools for defenders, and fostering new research and AI security training.
Q: What approach does the organization believe in when it comes to AI security?
A: The organization believes in adopting a secure-by-design and secure-by-default approach to ensure the protection of AI security technologies from the Defender’s Dilemma.
Q: What is the Secure AI Framework?
A: The Secure AI Framework is an initiative that promotes collaborative efforts for securing AI systems based on best practices.
Q: What is the purpose of the “AI for Cybersecurity” cohort?
A: The “AI for Cybersecurity” cohort aims to strengthen the transatlantic cybersecurity network by facilitating internationalization strategies, equipping participants with AI tools, and imparting the skills necessary to use them effectively.
Q: How does the Google.org Cybersecurity Seminars Program support universities?
A: The Google.org Cybersecurity Seminars Program supports universities across Europe by providing them with the necessary support to train the next generation of cybersecurity experts from underserved communities. AI-focused modules are included in the seminars to equip students with knowledge and skills to face evolving threats.
Q: What is Magika and how does it contribute to cybersecurity?
A: Magika is an AI-powered tool that aids defenders in identifying file types, which is crucial for malware detection. It has been instrumental in protecting platforms such as Gmail, Drive, and Safe Browsing. Magika’s performance provides an accuracy boost and higher precision on traditionally challenging content, surpassing conventional methods of file identification.
Q: How is the organization supporting cybersecurity research initiatives using AI?
A: The organization is dedicating $2 million in research grants and strategic partnerships to support cybersecurity research initiatives using AI. The focus is on enhancing code verification, studying the intersection of AI and cyber offense, and developing resilient language models.
Definitions:
– AI-ready infrastructure: Refers to an infrastructure that is capable of supporting the use and deployment of artificial intelligence technologies.
– Defender’s Dilemma: Refers to the challenge faced by defenders in securing AI systems against cybersecurity threats.
– Secure-by-design: Refers to the approach of incorporating security measures during the design phase of a system or technology.
– Secure-by-default: Refers to the practice of making security features enabled by default in a system or technology.
– Transatlantic: Refers to anything relating to or situated across the Atlantic Ocean, particularly between Europe and North America.
– Malware detection: Refers to the process of identifying and detecting malicious software or programs that may harm computer systems or data.
– File identification: Refers to the process of determining the type or format of a file.
– Code verification: Refers to the process of checking the correctness and security of programming code.
Suggested related links:
– link name
– link name
– link name
– link name
The source of the article is from the blog portaldoriograndense.com