Axio and Dragos have formed a strategic partnership aimed at helping organizations better understand and financially quantify cyber risks in operational technology (OT) environments. As cyber threats targeting industrial systems continue to grow, the collaboration focuses on closing one of the industry’s biggest gaps translating complex cyber-physical risks into measurable financial outcomes that executives, insurers, and boards can clearly understand.
To begin with, the partnership integrates Axio’s Cyber Risk Quantification (CRQ) models with threat intelligence and risk-reduction data from the Dragos Platform. As a result, security leaders can convert technical OT threat data into financial metrics that support strategic decision-making. This capability is especially important because industrial cyber incidents can cause large-scale operational disruption, physical damage, and extended business downtime risks that have historically been difficult to quantify accurately.
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Moreover, organizations can use this combined intelligence to demonstrate measurable return on security investments. Instead of relying solely on technical vulnerability metrics, companies can now connect security improvements directly to financial risk reduction. Axio focuses specifically on translating cybersecurity exposure into business impact measured in financial terms, enabling leadership teams to make evidence-based decisions and better allocate cybersecurity budgets.
At the same time, the integration helps cyber insurers and brokers improve underwriting accuracy for cyber-physical insurance coverage. Traditionally, insurers have struggled to price policies covering industrial cyber incidents due to the complexity and potential severity of OT attacks. However, by combining real-world threat intelligence from Dragos with financial modeling from Axio, insurers gain better visibility into operational disruption risks, cyber-physical damage scenarios, and potential loss exposure.
Additionally, the collaboration comes at a critical time as concerns around industrial cybersecurity continue to increase globally. Organizations operating in manufacturing, energy, utilities, and other critical infrastructure sectors face escalating threats that can impact both digital and physical systems. Therefore, tools that translate risk into financial language are becoming essential for enterprise resilience and governance.
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From a leadership perspective, the partnership also empowers Chief Information Security Officers and Risk Managers to communicate risk more effectively to boards and executive teams. Instead of presenting abstract threat models, they can now present dollar-based risk scenarios and financial exposure estimates tied directly to OT security posture and control effectiveness.
“It’s an honor to partner with the world’s leading industrial security company,’ especially at this moment in time. We’re seeing significantly increased demand for cyber physical insurance products, and this partnership will help our broker and insurer partners to deliver advanced cyber risk transfer solutions”, said Scott Kannry, co-founder and CEO of Axio. “We’re also excited to help Dragos more effectively evidence the risk reduction impact of its products, in an era with increased scrutiny on security spending.”
“Helping industrial organizations quantify and qualify their risks is a strategic imperative of Dragos, and it became clear that partnering with Axio to help translate our intelligence into financial insights would immediately benefit our customers,” says Mark Stacey, VP of Risk and Resilience Solutions. “We’re excited to help organizations make more confident, evidence-based decisions with respect to operational resilience. Just as importantly, this partnership empowers cyber insurers to better understand and address the OT underwriting challenge.”
Looking ahead, this partnership reflects a broader shift toward data-driven cybersecurity investment strategies. As organizations face more complex OT threat landscapes, combining financial risk modeling with real-time threat intelligence will likely become a standard requirement for enterprise cyber risk management and cyber insurance ecosystems.
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