While the promise of increased efficiency and resilience is driving rapid adoption, cybersecurity leaders also raised serious concerns. Experts like Elastic CISO Mandy Andress called for greater transparency and stronger oversight when deploying AI agents in sensitive environments. Trust, explainability, and governance emerged as recurring themes throughout RSAC, underscoring the need to balance innovation with caution—especially as cybercriminals are also experimenting with agentic AI to enhance and scale their attacks.
For professionals in the field, this isn’t a moment to fear job loss—it’s a chance to embrace career transformation. New roles are already emerging. AI-Augmented Cybersecurity Analysts will shift from routine alert triage to validating agent insights and making strategic decisions. Security Agent Designers will define logic workflows and trust boundaries for AI operations, blending DevSecOps with AI governance. Meanwhile, AI Threat Hunters will work to identify how attackers may exploit these new tools and develop defense mechanisms in response.
Another critical role on the horizon is the Autonomous SOC Architect, tasked with designing next-generation security operations centers powered by human-machine collaboration. There will also be growing demand for Governance and AI Ethics Leads who ensure that decisions made by AI agents are auditable, compliant, and ethically sound. These roles reflect how cybersecurity is evolving into a hybrid discipline requiring both technical fluency and ethical oversight.
To stay competitive in this changing landscape, professionals should build new skills. This includes prompt engineering, agent orchestration using tools like LangChain, AI risk modeling, secure deployment practices, and frameworks for explainability. Human-AI collaboration strategies will also be essential, as security teams learn to partner with autonomous systems rather than merely supervise them.
As IBM’s Suja Viswesan emphasized, “Security must be baked in—not bolted on.” That principle applies not only to how organizations deploy agentic AI but also to how they train and upskill their cybersecurity workforce.
The future of defense depends on professionals who understand how AI agents think, operate, and fail.
Ultimately, agentic AI isn’t replacing people—it’s reshaping their roles. Human intuition, ethical reasoning, and strategic thinking remain vital in defending against modern cyber threats.
As HackerOne CEO Kara Sprague noted, “Machines detect patterns. Humans understand motives.” Together, they can form a faster, smarter, and more adaptive line of defense.
The cybersecurity industry isn’t just gaining new tools—it’s creating entirely new job titles and disciplines.
