PALO ALTO, CA / ACCESS Newswire / April 14, 2026 / A new report from AirMDR indicates that investor interest in AI-driven cybersecurity remains robust, with 80% of surveyed U.S.-based cybersecurity investors planning to increase their investments in the sector this year. However, the research highlights a significant shift in investor expectations, as they now demand clear evidence of return on investment (ROI), operational efficiency, and robust technological defenses before committing capital to AI-native security platforms.
Kumar Saurabh, CEO of AirMDR, notes that the integration of AI into cybersecurity has been transformative, potentially more impactful than the industry’s shift to cloud computing. “AI is fundamentally changing the economics of security services by automating work that previously required entire teams of analysts,” Saurabh stated. “As that happens, investors and customers alike are shifting their focus from buying tools or services to buying outcomes, which means companies will have to prove their AI can deliver real operational results, not just add AI to existing products.”
The report reveals several key findings, including that 71% of investors expect decisive ROI evidence within three years before backing AI cybersecurity firms. Some 42% of investors cite the reduction of total cybersecurity costs as the strongest driver for enterprise AI adoption, reflecting the increasing pressure on businesses to deliver measurable operational impact. However, 54% of respondents expressed disappointment with investments in AI “wrappers”—those that merely layer AI onto existing tools—while 52% indicated they are actively avoiding narrow AI point solutions, favoring more comprehensive and defensible platforms instead.
The results suggest a maturation in the AI cybersecurity market, moving away from the hype surrounding AI towards a more disciplined investment approach. Investors are increasingly seeking out AI-native platforms capable of reducing security costs and automating operations, while being skeptical of solutions that merely enhance legacy products or lack significant differentiation.
Moreover, the survey indicates that AI-native startups may be well-positioned to lead the next cycle of investment in the sector. Unlike established providers that often retrofit AI onto existing offerings, these startups are built from the ground up to leverage AI, thus streamlining security operations and affording enterprises the opportunity to achieve consistent, scalable outcomes. One managing director at a venture capital firm summarized this sentiment, stating, “Flat budgets favor AI-native, ROI-proven vendors. It drives investment discipline – it filters out the convenience plays and rewards real operational impact.”
Investors are particularly optimistic about the potential for automation within security operations, with 43% identifying security operations (SecOps) as the segment they view most favorably in terms of AI cybersecurity. In this domain, AI’s capabilities extend to automating alert triage and alleviating analyst workloads, which is increasingly vital given the ongoing shortage of skilled security professionals.
Conversely, the research also brings to light a growing scrutiny surrounding managed detection and response (MDR). This category, while viewed as promising, poses challenges for investors in evaluating true capabilities versus marketing claims. Saurabh emphasized the need for transparency, stating, “The MDR market is crowded, and one of the biggest challenges for buyers is separating quality and real capability from contractual terms or marketing claims. We believe the only way to close the trust gap is through high-caliber, transparent investigations, and letting buyers experience the outcomes before they commit.”
Looking ahead, the report suggests that the AI cybersecurity market is poised for a period of coexistence between startups and established players, with 58% of investors expecting this dynamic to continue over the next two to three years. Furthermore, 36% anticipate that established companies will begin acquiring emerging AI-native startups soon. These findings indicate that the winners in the next wave of AI investment will be those that can establish distinct differentiation and deliver measurable operational impact at an early stage.
For further insights, the full report is available at AirMDR’s website.
About AirMDR
AirMDR offers an AI MDR service and AI SOC platform designed for managed security service providers, combining agentic AI with human expertise to deliver rapid alert investigations and audit-ready cases using existing customer tools. Their service aims to support lean security teams with 24/7 coverage, while the AI SOC platform helps MSSP teams maintain consistent outcomes at scale. More information can be found at airmdr.com.
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