Intelligent CISO Issue 87 | Page 30

EDITOR’ S question

ROHIT SADHU, CO-FOUNDER & COO, ENSUREDIT TECHNOLOGIES
Cyber insurance is no longer about‘ how much will we recover?’ but‘ how quickly can we bounce back?’ That mindset difference is the foundation of enterprise resilience. t its essence, parametric insurance

A replaces ambiguity with clarity. Rather than reimbursing actual losses after protracted claims investigations, it pays out automatically when a pre-defined event occurs, such as a cloud outage that lasts over three hours, or a ransomware encryption rate that exceeds 40 % of an organisation’ s endpoints.

This change may sound procedural, but its implications are profound. In the age of instant disruption, speed is not a luxury, it’ s a necessity. The first 72 hours after a breach often determine whether a business weathers the storm or spirals into crisis. Parametric coverage delivers rapid liquidity at the exact moment it’ s needed most, empowering leaders to restore operations, preserve trust and make bold decisions when others are still waiting for adjusters. It also brings radical transparency to a traditionally murky process. When terms are clearly defined in binary terms,‘ if X happens, you get Y’, insurance becomes a strategic tool, not just a compliance requirement.
The real power of parametric insurance lies not just in how it pays, but in how it thinks. It forces both insurers and insureds to define, measure and quantify cyber risk in concrete terms. In a world powered by APIs, microservices and decentralized architectures, static risk models no longer suffice. Parametric insurance aligns incentives around real-time telemetry, shared metrics and verifiable thresholds, opening the door to smarter underwriting, proactive defences and dynamic pricing. It also shifts the narrative. Cyber insurance is no longer about‘ how much will we recover?’ but‘ how quickly can we bounce back?’ That mindset difference is the foundation of enterprise resilience.
Imagine a future where insurance is embedded directly into your cloud infrastructure. Where risk coverage flexes dynamically with system load, geography, or vendor uptime. Where payouts are triggered by smart contracts rather than claims forms? That future starts with parametric models.
But vision comes with responsibility. The challenge now is to refine the architecture: calibrating triggers to reflect real business impact, closing the gap on basis risk and building regulatory frameworks that keep pace with innovation. It requires collaboration across insurers, tech platforms, regulators and risk managers to make parametric cyber insurance a foundational pillar of digital trust.
But for all its strengths, parametric cyber insurance is not without fault. As with any innovation, its earlystage evolution presents important limitations. Parametric coverage pays based on occurrence, not impact. That means an organisation may receive a payout even if its actual loss is minimal or worse, suffer significant damages without triggering the payout. This‘ basis risk’ is its Achilles’ heel and can erode trust if not addressed with precision.
Triggers must be specific enough to avoid ambiguity but broad enough to reflect a wide range of realworld attacks. If miscalibrated, coverage can become either ineffective or overly generous – either a false sense of security or an actuarial liability.
The promise of parametric models assumes access to transparent, real-time data and third-party verification mechanisms – something not equally available across geographies or industries.
Leaders who understand this shift won’ t just buy parametric coverage – they’ ll build ecosystems around it. They’ ll use it to signal cyber maturity, unlock operational flexibility and align capital with risk in real time.
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