Kai Grunwitz, Klaus Bürg & Tomislav Tipurić

Tackling the Risks of AI - With AI

What if the only way to beat malicious AI is with even smarter AI?

Tackling the Risks of AI - With AI
#1about 4 minutes

How AI accelerates and sophisticates cyber attacks

Generative AI lowers the barrier for criminals, enabling highly effective phishing, mutating malware, and deepfakes at an unprecedented scale and speed.

#2about 4 minutes

Managing internal risks from employee AI adoption

Employees using unapproved AI tools create significant risks of unintentional data leakage and intellectual property loss, often without leadership's awareness.

#3about 3 minutes

Modernizing legacy systems for AI-driven transformation

While leaders are confident in their current IT infrastructure, it is often not ready for the agility and security demands of AI, requiring modernization of legacy systems.

#4about 4 minutes

Fighting AI-powered attacks with precision AI

Since human-led defense is too slow for modern threats, precision AI uses machine learning to analyze vast telemetry data in real-time to detect and respond to attacks.

#5about 4 minutes

Understanding the power and peril of agent AI

Agent AI can automate defensive actions like patching systems, but these empowered agents also become high-value targets for attackers seeking administrative access.

#6about 7 minutes

Building trust and skills for the future of AI

Successfully scaling AI in the enterprise depends more on cultural change, building trust, and upskilling employees than on technology alone.

#7about 3 minutes

Overcoming security complexity with a platform approach

The average enterprise's fragmented landscape of numerous security tools creates visibility gaps, which can be solved by consolidating them into a unified platform.

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