Where GenAI meets Zero Trust. And where defenders take the lead.
Cybersecurity isn’t evolving – it’s being rewritten. Generative AI and autonomous agents are transforming the digital battlefield, expanding the attack surface, and reshaping what it means to defend.
Next-Gen Cyber AI is a high-impact virtual event built for the architects of this new era – CISOs, SOC leaders, red teamers, and AI-savvy developers who don’t just adapt to change, but lead it.
Featuring industry powerhouses like Mark Simos, Nikhil Kumar, Ken Huang, Katie Paxton-Fear, and Patrick Lane, this is your front-row seat to the future of cyber defense.
If you’re building, breaking, or securing AI systems, you can’t afford to miss this.
Who Should Attend
- Security Architects & CISOs: Explore the future of Zero Trust, AI risk governance, and defense automation
- SOC & Infra Teams: Gain deployable AI skills for detection, response, and log triage
- AppSec Engineers & Ethical Hackers: Discover offensive and defensive uses of autonomous agents
- CXOs, Public Sector, Compliance Leaders: Understand AI’s role in threat evolution, data sovereignty, and ecosystem-level risk
Why Attend
- Gain exclusive insights from leading cybersecurity experts who are shaping the future of AI defense.
- Gain tactical skills for securing AI-native systems and agentic behaviors.
- Acquire strategic insight into evolving Zero Trust architectures for the GenAI era.
- Learn real-world patterns for building resilient, scalable AI ecosystems.
- Explore red teaming techniques for detecting hallucinations, rogue agents, and model exploits.
- Connect with industry professionals passionate about the future of AI and cybersecurity, expanding your network.
- Receive an official certificate of participation endorsed by Packt Publishing’s trusted reputation in technology education.
What You’ll Learn
- Architect for the AI-First Era: Redesign your cybersecurity foundations to support autonomous systems, agentic AI, and GenAI-native workflows.
- Zero Trust, Reinvented for GenAI: Evolve identity, segmentation, and policy enforcement models to align with AI-driven behaviors and trust boundaries.
- Secure the AI Attack Surface: Detect, isolate, and defend against rogue agents, hallucinated actions, and adversarial model exploits.
- Blueprint for Scalable AI Security Ecosystems: Combine telemetry, identity, and observability to design secure, compliant, and adaptive AI environments.
- Defend with Multi-Agent Intelligence: Build AI agents for deception, response, and threat hunting—while enforcing safety, logic constraints, and resilience.
- Lead with Confidence in an AI World: Align security, governance, and culture to future-proof your organization’s risk posture in the age of intelligent systems.