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Method Security Raises $26M to Redefine Enterprise Protection in an AI-Driven Threat Landscape

Method Security has raised $26 million in their Seed Round, backed by an extraordinary lineup of investors including Andreessen Horowitz, General Catalyst, Blackstone Innovations Investments, Michael Ovitz, NFDG, Forward Deployed Ventures, Pax Ventures, Phil Venables, WndrCo, Frederic Kerrest, Ryan Noon, and Aaron Levie. For a seed-stage cybersecurity startup, this is one of the most heavyweight syndicates you’ll see  - a signal that Method is attacking a problem the market has been waiting years to solve.

Founded by Sam Jones, Sean Hacker, and Daniel Kelly, Method Security is positioning itself at the center of modern enterprise defense: security teams buried under alert fatigue, fragmented tooling, scattered visibility, and increasingly complex attacks powered by AI. Instead of adding yet another point solution to the mix, Method is building a platform designed around how security actually operates today  - fast-moving, resource-constrained, and responsible for protecting far more data and infrastructure than legacy systems were designed to handle.


The Real Threat Landscape Enterprises Are Facing

Cyber attacks have never been more severe or more rapid. Global cybercrime costs exceeded $9.5 trillion in 2024, with projections hitting $14 trillion by 2028. Meanwhile, over 60% of breaches now involve exploited identity or access weaknesses rather than traditional malware.

The problem is scale. A modern enterprise’s attack surface expands every time a team adopts a new SaaS tool, spins up a cloud environment, hires a remote employee, or implements an AI workflow. Most companies now operate across infrastructure so distributed that even their security teams struggle to map it.

Method Security enters this space with a different premise: security shouldn’t require navigating 20 dashboards to understand one threat. It should operate like a real system  - unified, contextual, and fast


What Method Security Is Actually Building

Method is assembling an enterprise-grade security platform that unifies threat detection, investigation, and response into a single operational workflow. Instead of treating security events as isolated data points, Method ingests and correlates signals from across the security stack to deliver context-rich intelligence  - the kind analysts can act on without spending hours reconstructing timelines or validating false alarms.

This is especially important as the nature of attacks evolves. Modern threat actors move laterally in minutes, not days. They automate reconnaissance with large language models. They chain misconfigurations across SaaS apps, cloud platforms, identity providers, and private networks. Method is building infrastructure that reflects this reality, giving defenders visibility that matches the complexity of the systems they protect.

And here is where Method’s strategy becomes especially powerful: the more integrated it becomes inside an organization’s security workflow, the harder it is to replace. Once a platform becomes the lens through which teams see and interpret risk, it essentially becomes the operating system of security  - not another vendor, but a critical dependency that organizations plan around. That kind of embeddedness doesn’t just create retention; it creates leverage.


A Moment of Transformation for Cybersecurity

The broader cybersecurity market is undergoing a seismic shift. Companies are moving away from accumulating dozens of tools and are instead consolidating around platforms that centralize intelligence. Gartner estimates that by 2027, 40% of security teams will rely on platforms that unify detection and response across cloud, identity, endpoint, and SaaS  - nearly double the adoption seen in 2023.

Meanwhile, the use of AI in both defense and offense is accelerating. On the attacker side, AI-driven phishing and automated vulnerability discovery are reducing the skill barrier for cybercrime. On the defender side, AI is enhancing correlation, prediction, and triage  - but only for companies with the infrastructure to use it effectively.

Method sits squarely at this crossroads.

Their platform is designed not only to streamline SOC workflows but to give enterprises a way to operationalize AI securely  - something most legacy security stacks cannot do without introducing new risks. As organizations adopt generative AI internally, this capability becomes more urgent. Over 70% of enterprises plan to deploy internal AI systems or applications by 2026, but fewer than 30% have governance frameworks capable of monitoring those systems effectively. Method is tackling this gap before it becomes the next frontier of breaches.


Why Investors Are Paying Attention

Investors are aligning behind companies that can serve as foundational layers in enterprise infrastructure, not just standalone tools. Security platforms that integrate across identity, cloud, and SaaS are among the fastest-growing categories in enterprise software. The global cybersecurity market, valued at $182 billion, is expected to surpass $290 billion by 2028, driven largely by complexity and automation demands.

Method Security is built to thrive in that environment.

Its leadership team brings deep experience from elite security organizations and mission-critical roles. That credibility matters  - enterprise buyers don’t adopt new security software casually. They adopt solutions when they trust the people building them, and when the architecture reflects real-world needs rather than theoretical frameworks.

Method’s early momentum signals that they are already resonating with the market, and their seed round  - unusually large and unusually stacked with strategic investors  - hints at strong demand from enterprises looking for a smarter, more integrated way to defend themselves.


What’s Next for Method Security

With $26 million secured, Method is accelerating development across:

Method isn’t just another cybersecurity startup  - it’s a company aiming to rethink how security teams operate in a world where threats evolve faster than human response. Their platform is built for the era we’ve already entered: an era where visibility, speed, and intelligence determine whether an organization stays ahead of attackers or becomes their next statistic.


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