AI isn’t just changing cybersecurity, it’s changing how the industry talks about it. From governance and ethics to machine learning and automation, security professionals are not just watching this evolution unfold but actively shaping the conversation. The latest Origin research shows security professionals think the rise of AI generated content will impact the quality of information available on cybersecurity topics and/or the way the consumer will evaluate this content, almost half (49%) believe AI will improve content quality, which was the top answer.
This level of optimism is surprising, especially when compared to the ongoing concerns about misinformation (27%) and diluted content quality (17%). In fact, cybersecurity professionals are almost three times more likely to see AI as an asset to content rather than a risk. AI isn’t just a tool for attackers, it’s influencing how security professionals seek, consume, and trust information.
The demand for AI-related content isn’t slowing down. Security leaders are eager to read about AI governance and ethics (11%), machine learning (10%), and the cybersecurity skills gap (7%), topics that are dominating 2024 and will continue shaping discussions over the next five years. The interest in AI’s role in security operations, compliance, and strategic decision-making proves that this is more than just hype. Vendors who fail to engage with AI as a serious, long-term subject risk being left behind.
Additionally, the cybersecurity themes/topics respondents see as most critical within their organisation and tend to seek further information on regularly are AI and machine learning (10%), ahead of the cybersecurity skills gap and workforce development (9%) and cyber resilience Incident response planning (6%).
Yet, while AI is helping drive content creation, professionals still expect credibility and depth. The flood of AI-generated content risks overwhelming readers with generic, surface-level articles that fail to add real value. Cybersecurity decision-makers don’t just want information, they want insight. This is where vendors have an opportunity to stand out. AI should be used to enhance content, making research faster and more efficient, but the human element remains crucial. Without expert analysis, original research, and meaningful commentary, AI-powered content risks blending into the noise.
In cybersecurity, AI is often viewed as both a threat and an opportunity. The ability for AI-driven tools to detect and neutralise cyber threats in real time is proving hugely beneficial, but the same technology is being used by attackers to craft sophisticated phishing scams, automate malware distribution, and manipulate data at an unprecedented scale. This dual nature of AI means that security professionals have no choice but to stay informed.
The challenge is ensuring AI-generated content maintains integrity. Security professionals are already wary of the risks AI presents in areas like deepfakes and automated misinformation. If vendors fail to demonstrate thought leadership with well-researched, trustworthy content, they could face scepticism rather than engagement. The fact that 32% of cybersecurity professionals see AI’s ability to personalise content as a major benefit suggests that vendors should focus on delivering more tailored, relevant insights. Generic messaging won’t cut it anymore, content needs to speak directly to industry concerns and challenges.
Personalisation in cybersecurity content has never been more important. With AI advancing rapidly, professionals don’t have time to sift through irrelevant articles or vague whitepapers. They need actionable insights that are specific to their challenges, whether that’s protecting against AI-driven attacks, managing compliance in an AI-regulated world, or understanding how AI can improve threat detection. The cybersecurity vendors that can provide this level of targeted content will have the upper hand.
But AI alone won’t be enough to build trust. The most successful cybersecurity thought leadership will come from those who combine AI’s efficiency with human expertise. This means bringing in CISOs, security researchers, and analysts to contribute genuine insights and experiences that AI simply cannot replicate. AI can assist with structuring reports, summarising research, and identifying trends, but real industry authority comes from experience, case studies, and original perspectives.
Looking ahead, AI will continue to dominate cybersecurity discussions. Five years from now, AI and machine learning (13%) are still expected to be the top topics, followed closely by AI governance and ethics (12%). This proves that AI is not just a passing trend, it is reshaping the security industry. The vendors that embrace it, not just by talking about AI, but by using it effectively in their content strategies, will be the ones who capture and keep their audience’s attention.