Inside the Mindset Behind Active Insurance: Why Prevention Is the Future
The insurance and risk management sector has witnessed remarkable innovation in predicting and preventing property losses. From IoT sensors detecting water leaks before they cause flooding to satellite imagery tracking wildfire progression, insurers increasingly leverage real-time data and AI analytics to identify emerging threats.
These technologies transform the traditional insurance model from reactive claims payment to proactive risk management, creating value for both insurers and policyholders through loss prevention.
This technological revolution isn’t limited to property risks. I recently had a conversation that illustrated how these same principles—continuous monitoring, data-driven insights, and proactive intervention—apply equally well, if not better, to cyber threats.
Coalition, a provider of cyber insurance, exemplifies this approach through what CEO Joshua Motta calls “active insurance.” Unlike traditional cyber policies on standby until a covered breach occurs, Coalition’s model provides continuous value by actively monitoring, detecting, and preventing cyber threats before they materialize into claims.
“Active insurance is very different. It’s really designed to provide value to you all the time. It’s designed to help you prevent losses from happening. And when they do, it kicks in to help you reduce the severity of them,” Motta explained.
Coalition uses an “active data graph” that ingests approximately 48 trillion data points monthly. This massive dataset maps every internet-connected device globally, tracking technologies, vulnerabilities, network configurations, and threat patterns.
Like property insurers using weather sensors and building monitors, Coalition scans the digital landscape 24/7, identifying emerging risks across their customer base.
“Our underwriting strategy is very simple. It’s to collect so much data about the cyber risk of our customers that not only do we know more than our competitors, we know more than the insured themselves does about their risk, which is something that’s quite rare in insurance,” Motta said.
The company also provides real-time alerts when malware detonates on customer networks, enabling rapid containment before ransomware spreads. They identify Internet-facing industrial control systems that shouldn’t be publicly accessible, preventing potentially catastrophic disruptions.
Like other insurers taking innovative approaches to mitigating risk and preventing losses before they become claims, active insurance benefits from clear alignment of financial incentives between customer and insurer. While this may be occurring in other areas of insurance, it is unique in the cybersecurity space.
“Most cybersecurity companies don’t truly have an aligned financial interest with their customers. If the products fail to address something, it’s still on the company to survive… in our case, we have very directly aligned interests with our policyholders,” Motta said.
When Coalition’s prevention technologies fail, the company pays claims through its insurance coverage. This creates powerful motivation to deliver effective prevention tools and prioritize the most impactful security measures for each customer.
Active insurance provides a blueprint for how insurance might evolve across all categories: Taking advantage of technology that can better detect and predict risk and collaborating with customers to identify opportunities to prevent losses.
As Motta suggested: “Insurance companies of the future will be technology companies that are also insurance companies.”
Listen to our full conversation on the Predict & Prevent® podcast. &

