Sarah Guo: The Next Wave of High-Growth, High-Profit Startups Will Be Cyber Incident Response Companies
Investor Sarah Guo has publicly stated that the next wave of startups capable of rapid growth and profitability will be cybersecurity incident response companies that are not traditionally considered "tech companies."
She pointed out that these companies can achieve high gross margin expansion in event-driven scenarios, driven by clients' rigid demand for real-time responses to ransomware, data breaches, and supply chain attacks, rather than relying on pure software subscriptions or platform effects.
Sarah Guo believes that such businesses inherently possess cash flow characteristics triggered by events, as clients immediately purchase services after experiencing an intrusion, showing strong willingness to pay and high renewal rates, thus supporting a tech-level profit structure even without a tech label.
She further emphasized that as companies deepen their digitalization and the attack surface continues to expand, incident response is shifting from passive remediation to proactive services, allowing related startups to quickly secure orders without relying on large-scale R&D investments.
Market observations indicate that these companies typically use specialized teams and process capabilities as barriers, diversifying revenue through standardized response packages, insurance linkages, and long-term monitoring contracts, thereby reducing dependence on single events.
Driven by events, corporate security budgets are increasingly leaning towards response and recovery phases, with buyers primarily from large enterprise IT and compliance departments, while sellers are startup teams with practical experience. Funding is shifting from preventive tools to post-incident services, benefiting response companies while traditional pure tool suppliers face price pressure.
On-chain and publicly traded data show that the amounts for cybersecurity-related insurance and emergency service contracts have been steadily rising in recent years, with some response teams accelerating team expansion through equity financing to take on larger clients.
Source: Public Information
ABAB AI Insight
Sarah Guo previously led multiple infrastructure and security-related investments during her time as a partner at Greylock, and later founded Conviction Fund focusing on AI and application layer opportunities. Her historical decisions have often bet on "non-pure software" vertical service models that can quickly monetize, although some early projects faced delays in exits due to long market education cycles.
She is driving capital allocation towards the incident response field, essentially shifting funds from high R&D, long-cycle platform companies to labor and process-intensive teams that can quickly generate service revenue, thereby reducing fund return volatility by shortening cash recovery cycles, while leveraging her relationships in corporate security networks to assist portfolio companies in acquiring their first major clients.
This is similar to the early path of CrowdStrike extending from endpoint protection to response services, and closely resembles Mandiant's high-margin model centered on incident response before its acquisition; the current industry is in an expansion phase transitioning from prevention tool dominance to an increased share of response and recovery services, with response capabilities becoming key to differentiated pricing.
Essentially, this represents a restructuring of the industry chain, as the expanding attack surface makes it impossible for companies to rely solely on upfront tools to cover all risks, forcing budgets to shift towards incident handling, thus granting response companies higher willingness to pay and bargaining power, while tool suppliers face pressure to consolidate or lower prices.
ABAB News · Law of Cognition
- Event-driven cash flow sees profits earlier than platform effects.
- When rigid demand arises, service companies capture budgets before tool companies.
- Not all high growth must be rooted in pure tech labels.