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AI RED TEAM
GOOGLE'S
ADVANCING
CYBERSECURITY
WHAT IS GOOGLE'S
AI RED TEAM?
www.infosectrain.com
@infosectrain
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Google's AI Red Team is a specialized
cybersecurity team that secures AI-driven
technologies. They possess expertise in
attacking machine learning systems and
collaborate with AI experts to identify and
resolve vulnerabilities. Their goal is to
proactively safeguard Google's
AI deployments and stay ahead
of potential threats.
COMMON ATTACKS
ON AI
www.infosectrain.com
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Adversarial Attacks
on AI Systems
01
Data Poisoning
AI
02
Prompt Injection
Attacks
03
Backdoor Attacks
on AI Models
04
HOW GOOGLE'S AI RED
TEAM ADDRESSING
AI ATTACKS?
www.infosectrain.com
@infosectrain
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Inspired by military tactics, Google's
AI Red Team mimics adversaries
to uncover AI system vulnerabilities.
While traditional red teams offer a
foundation, AI attacks demand specialized
expertise. With deep AI expertise, Google's AI
Red Team empowers defenders by proactively
identifying vulnerabilities enhancing AI system
security from the start.
KEY FEATURES OF
GOOGLE AI RED TEAM
www.infosectrain.com
@infosectrain
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Google established a dedicated AI Red Team to
address the unique challenges of machine
learning systems' security vulnerabilities.
01
Unlike traditional red teams, the AI Red Team
possesses a specialized skill set in attacking ML
systems, requiring a deep understanding of
machine learning technology.
02
The teams are closely aligned, collaborating on
exercises that combine classic security attack
vectors with new ML-specific tactics.
03
www.infosectrain.com
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The AI Red Team strategically targets AI
deployments by setting up scenarios based on
threat intelligence and theoretical attacks,
executing multiple steps to achieve realistic
adversarial simulations.
04
Collaboration between the red team and AI
experts enables access to specific internal
positions for targeting ML models effectively.
05
The AI Red Team's engaging attack narratives
help drive visibility and investment in ML safety,
emphasizing the importance of securing
AI-driven technologies.
06
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๐†๐จ๐จ๐ ๐ฅ๐ž'๐ฌ ๐€๐ˆ ๐‘๐ž๐ ๐“๐ž๐š๐ฆ

  • 2. WHAT IS GOOGLE'S AI RED TEAM? www.infosectrain.com @infosectrain # l e a r n t o r i s e Google's AI Red Team is a specialized cybersecurity team that secures AI-driven technologies. They possess expertise in attacking machine learning systems and collaborate with AI experts to identify and resolve vulnerabilities. Their goal is to proactively safeguard Google's AI deployments and stay ahead of potential threats.
  • 3. COMMON ATTACKS ON AI www.infosectrain.com @infosectrain # l e a r n t o r i s e Adversarial Attacks on AI Systems 01 Data Poisoning AI 02 Prompt Injection Attacks 03 Backdoor Attacks on AI Models 04
  • 4. HOW GOOGLE'S AI RED TEAM ADDRESSING AI ATTACKS? www.infosectrain.com @infosectrain # l e a r n t o r i s e Inspired by military tactics, Google's AI Red Team mimics adversaries to uncover AI system vulnerabilities. While traditional red teams offer a foundation, AI attacks demand specialized expertise. With deep AI expertise, Google's AI Red Team empowers defenders by proactively identifying vulnerabilities enhancing AI system security from the start.
  • 5. KEY FEATURES OF GOOGLE AI RED TEAM www.infosectrain.com @infosectrain # l e a r n t o r i s e Google established a dedicated AI Red Team to address the unique challenges of machine learning systems' security vulnerabilities. 01 Unlike traditional red teams, the AI Red Team possesses a specialized skill set in attacking ML systems, requiring a deep understanding of machine learning technology. 02 The teams are closely aligned, collaborating on exercises that combine classic security attack vectors with new ML-specific tactics. 03
  • 6. www.infosectrain.com @infosectrain # l e a r n t o r i s e The AI Red Team strategically targets AI deployments by setting up scenarios based on threat intelligence and theoretical attacks, executing multiple steps to achieve realistic adversarial simulations. 04 Collaboration between the red team and AI experts enables access to specific internal positions for targeting ML models effectively. 05 The AI Red Team's engaging attack narratives help drive visibility and investment in ML safety, emphasizing the importance of securing AI-driven technologies. 06
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