If you had time to walk the expo floor at this year’s RSA Conference, it was impossible to miss the shift in our industry.
Venture funding is concentrating around fewer, larger AI bets
Investors and founders described the past year as an inflection point: a surge in venture funding and headline acquisitions that pushed the market faster than many expected. Venture capital is increasingly concentrated into fewer companies, with larger rounds and higher valuations. That concentration has made the market more binary — startups are expected to either secure AI systems or use AI to deliver clear, measurable improvements in security outcomes. Companies that cannot clearly stake out one of those positions are finding it harder to attract attention from both investors and acquirers. Higher valuations can accelerate momentum, but they also raise the bar for performance; when growth does not materialize as expected, the path forward becomes more difficult.
AI-native startups are operating with smaller, more technical teams
The mechanics of product development are changing. AI has cut the time and cost of building and iterating on cybersecurity products, allowing small teams to move at unprecedented speed. Engineers are focusing less on building every component from scratch and more on orchestrating AI systems — shifting work toward higher-level problem solving and system design. The result: smaller, more technical teams that rely heavily on automation to extend capability and iterate rapidly. That operating model is widening a gap between companies built around AI from the start and incumbents trying to retrofit AI into existing models.
Threat actors are using AI to scale attacks and lower barriers to entry
At the same time, attackers are adopting the same tooling that speeds defenders. AI is lowering the barrier to entry for offensive cyber capabilities, enabling less sophisticated actors to execute attacks that previously required significant expertise, while increasing both the volume and complexity of threats. The expansion of risk is not limited to network or endpoint attacks: new attack surfaces are appearing, from machine identities to autonomous agents and decision-making systems. AI is also unleashing narrative-driven risks, including more advanced disinformation campaigns that can impact markets and corporate reputations as much as technical systems. Early responses include collaborative efforts such as Anthropic’s Project Glasswing, which aims to bring together leading organizations to protect critical software.
M&A and platform strategies are accelerating alongside AI innovation
Speed is compressing the timelines for both growth and acquisition. Larger platforms are moving to incorporate AI capabilities more quickly, while startups are building toward platform strategies earlier in their lifecycle. When incumbents cannot innovate quickly enough, they can buy instead. Capital plays a central role: strong funding environments enable rapid scaling but also introduce risk when valuations outpace underlying performance. Some of the largest rounds are functioning as signals of market leadership as much as sources of operating capital, and there is growing awareness that not all these companies will meet expectations.
What this means for founders, investors, and defenders
- Founders: Balance urgency with discipline — build AI-native products while staying focused on real customer problems, because customer adoption and revenue must catch up with valuation-driven expectations.
- Investors: Identify teams that can execute in a rapidly changing environment and build companies that endure beyond the current cycle; the market rewards clear differentiation and proven go-to-market execution.
- Defenders and security teams: Prepare for a shift toward machine-driven detection and response as attackers scale with AI; the dynamic is increasingly machine vs. machine, requiring new operational models.
The defining characteristic of this phase is speed. Companies that can operate where AI is foundational, competition is global, and the timeline for success is shorter than ever will be best positioned to lead. The tougher test, the source warns, will be whether customer adoption and revenue keep pace with valuations — a mismatch that could expose weaknesses quickly in a market moving at unprecedented tempo.
https://cyberscoop.com/ai-cybersecurity-market-trends-2026-op-ed/
