Palo Alto Networks (PANW) Hello Tomorrow | What’s Next in AI Security summary

Opening insights and industry context

• Emphasis on cutting through cybersecurity hype to deliver real, transformative innovation and operational impact.

• Focus on anticipating future threats and securing the future through smarter solutions.

• AI is described as a civilizational paradigm shift, requiring safe and responsible adoption.

• AI introduces new attack vectors and necessitates robust data governance and auditing.

AI’s impact on cybersecurity and platform evolution

• AI is now used by both attackers and defenders, compressing attack timelines to under an hour.

• The industry must pivot to real-time detection, remediation, and protection.

• SaaS applications and security products will increasingly embed AI, requiring constant model testing and oversight.

• Security solutions are shifting from identifying problems to recommending and automating solutions.

Automation, agents, and the journey to trust

• Automation in security is evolving from assistive features to copilots and eventually autonomous agents.

• Building trust in AI agents is essential before granting them full autonomy.

• The Agentics platform is introduced as a way to build and deploy security agents, with a focus on gradual automation and customer collaboration.