How AI is Reshaping Cybersecurity: Startups Scale, Legacy Firms Struggle

AI Transforms Cybersecurity from Emerging Tech to Core Capability

At this year’s RSA Conference, the shift in the cybersecurity industry was impossible to miss. Artificial intelligence has moved from an emerging layer to the foundation of what powers cybersecurity companies. This transformation is not just technological—it is reshaping how companies are formed, funded, and scaled.

2023 Marked a Turning Point for AI in Cybersecurity

A surge in venture funding and headline acquisitions highlighted a market moving faster than anticipated. Startups that once spent years iterating toward product-market fit are now emerging from stealth with mature products and raising large early funding rounds almost immediately. The traditional progression from seed to Series A is compressing into a shorter, higher-stakes window. Legacy companies are being forced to move faster than ever to stay relevant.

Venture Funding Concentrates Around Fewer, Larger AI Bets

AI has reduced the time and cost of building and iterating on cybersecurity products, enabling small teams to move at unprecedented speed. However, faster development does not eliminate the fundamentals: durable businesses still require clear differentiation, strong go-to-market execution, and proven customer demand.

What has changed is how capital is deployed. Venture funding in cybersecurity is increasingly concentrated in fewer companies, with larger rounds and higher valuations. The market is becoming binary: startups must either secure AI systems or use AI to deliver measurable improvements in security outcomes. Companies unable to stake out one of these positions struggle to attract investors and acquirers.

Higher valuations accelerate momentum but also raise performance expectations. When growth does not meet projections, the path forward becomes more challenging, especially in a rapidly evolving market.

AI-Native Startups Operate with Smaller, More Technical Teams

AI is also transforming how cybersecurity companies are staffed and operated. The most effective teams today are smaller and more technical, relying heavily on automation to extend their capabilities. Engineers focus on orchestrating AI systems rather than building every component from scratch, shifting technical work toward higher-level problem-solving and system design.

This shift is creating a widening gap between companies built around AI from the start and those retrofitting it into existing models. For newer startups, AI is often foundational. For incumbents, it may require significant changes to technology and culture, leading to an upcoming M&A wave already in its early stages.

Threat Actors Leverage AI to Scale Attacks

While AI accelerates innovation in cybersecurity, it also lowers the barrier to entry for offensive capabilities. Less sophisticated actors can now execute attacks that previously required significant expertise, reshaping the threat landscape.