Google's AI Red Team is an elite group dedicated to safeguarding AI systems from cyber threats. Their mission? Protecting the future of AI. Discover how Google's AI Red Team is shaping the future of AI security. Swipe to explo

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AI RED TEAM
GOOGLE'S
ADVANCING
CYBERSECURITY

2. WHAT IS GOOGLE'S
AI RED TEAM?
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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.

3. COMMON ATTACKS
ON AI
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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?
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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.

5. KEY FEATURES OF
GOOGLE AI RED TEAM
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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

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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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