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Agentic AI Is Reshaping Cybersecurity Careers, Not Replacing Them

 

Agentic AI took center stage at the 2025 RSA Conference, signaling a major shift in how cybersecurity professionals will work in the near future. No longer a futuristic concept, agentic AI systems—capable of planning, acting, and learning independently—are already being deployed to streamline incident response, bolster compliance, and scale threat detection efforts. These intelligent agents operate with minimal human input, making real-time decisions and adapting to dynamic environments. 

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.

Designers Still Have an Opportunity to Get AI Right

 

As ChatGPT attracts an unprecedented 1.8 billion monthly visitors, the immense potential it offers to shape our future world is undeniable.

However, amidst the rush to develop and release new AI technologies, an important question remains largely unaddressed: What kind of world are we creating?

The competition among companies to be the first in the AI race often overshadows thoughtful considerations about potential risks and implications. Startups working on AI applications like GPT-3 have not adequately addressed critical issues such as data privacy, content moderation, and harmful biases in their design processes.

Real-world examples highlight the need for more responsible AI design. For instance, creating AI bots that reinforce harmful behaviors or replacing human expertise with AI without considering the consequences can lead to unintended harmful effects.

Addressing these problems requires a cultural shift in the AI industry. While some companies may intentionally create exploitative products, many well-intentioned developers lack the necessary education and tools to build ethical and safe AI. 

Therefore, the responsibility lies with all individuals involved in AI development, regardless of their role or level of authority.

Companies must foster a culture of accountability and recruit designers with a growth mindset who can foresee the consequences of their choices. We should move away from prioritizing speed and focus on our values, making choices that align with our beliefs and respect user rights and privacy.

Designers need to understand the societal impact of AI and its potential consequences on racial and gender profiling, misinformation dissemination, and mental health crises. AI education should encompass fields like sociology, linguistics, and political science to instill a deeper understanding of human behavior and societal structures.

By embracing a more thoughtful and values-driven approach to AI design, we can shape a world where AI technologies contribute positively to society, bridging the gap between technical advancements and human welfare.