Senior Software Engineer

Axio, a cyber risk quantification firm, has launched Axio AIR, a platform that quantifies AI and agentic risk in financial terms. The tool extends Axio's established risk quantification methodology to AI systems, modelling risk at the model, system and portfolio level in dollars. The launch addresses a growing gap in AI governance. Roughly 90% of enterprises have deployed AI, yet few have formal risk programmes. Meanwhile, the EU AI Act carries penalties of up to €35 million or 7% of global revenue for high-risk violations. Axio AIR models AI risk scenarios, maps exposure to specific systems and business processes, and generates prioritised remediation activities aligned to frameworks including NIST and MITRE ATLAS. The platform is available as a standalone solution or integrated for existing Axio360 clients.

Axio launches Axio AIR, bringing financial quantification to AI and agentic risk. Published by Axio New capability extends Axio360's trusted cyber risk quantification methodology to AI, giving boards, regulators, and insurers a dollarized view of AI exposure, NEW YORK, NY - August 13, 2026 - Axio, a leader in cyber risk quantification (CRQ), today announced the launch of Axio AIR, a new AI risk capability built on the Axio360 platform. Axio AIR quantifies AI and agentic risk in business terms, giving organizations a single, board-ready view of their AI exposure and a prioritized, framework-mapped path to reduce it. The launch comes as AI adoption is sharply outpacing organizations' ability to govern it. Roughly 90% of enterprises have now deployed AI in some form, yet few have formal AI risk programs in place. Regulatory pressure is mounting alongside adoption: the EU AI Act's high-risk obligations, moving forward under the Digital Omnibus agreement, carry penalties of up to €35 million or 7% of global revenue. At the same time, boards are asking harder questions about AI exposure, and insurers are tightening underwriting standards around it. "AI adoption has outpaced every organization's ability to govern it responsibly," said Scott Kannry, CEO of Axio. "Boards don't just want to know that an AI policy exists - they want to know what their exposure actually costs them. Axio AIR gives them that answer, in the same financial language we've used to help organizations manage cyber risk for more than a decade. This isn't a new category for us. It's the natural extension of a discipline our clients already trust." Axio AIR extends Axio360's established risk quantification methodology to AI and agentic systems rather than introducing a new tool or workflow. Using a purpose-built scenario research engine and AI-specific loss exceedance curves, it models AI risk at the model, system, and portfolio level, in dollars. A modeled scenario for prompt injection against a customer-facing LLM, for example, might surface $4.2 million in annual loss exposure, with a 95th-percentile exposure of $11.8 million - giving risk and compliance teams a concrete number to act on rather than a qualitative score. The platform works in three steps. Organizations first model their AI and agentic risk scenarios and quantify exposure in dollars, using the same methodology Axio360 applies to cyber risk. Axio AIR then maps that exposure to the specific AI systems, use cases, and business processes driving it, so teams know exactly where risk concentrates. Finally, it generates prioritized remediation activities for each scenario, mapped to the NIST AI Risk Management Framework, MITRE ATLAS, the CSA RiskRubric, and COSO's GenAI control principles. Axio AIR also builds in incident readiness and reporting support, including 2/10/15-day reporting readiness aligned to the EU AI Act's Article 73, AI-specific tabletop exercises, incident runbooks, and regulator-ready timeline reconstruction. Because its output is expressed in the same financial terms Axio360 already uses for cyber risk, AI exposure can be reported alongside cyber risk in a single executive narrative, and can feed directly into cyber insurance underwriting and renewal cycles. "We built Axio AIR the same way we built Axio360 - around the belief that risk isn't real to an organization until it's expressed in dollars," said Nicole Sundin, Chief Product Officer of Axio. "Every AI system an organization deploys introduces exposure that's hard to see and even harder to prioritize. Axio AIR gives risk and compliance teams a way to quantify that exposure, map it to the frameworks their regulators and auditors already expect, and act on it in minutes instead of months. Giving CISOs the information they need to say 'yes' to AI innovation." Traditional AI risk assessments typically require weeks of workshops and consulting engagements. Axio AIR is designed to surface a quantified risk view and a governance-ready remediation plan, with the specific financial impact of each scenario, in minutes. Axio AIR is built for risk and security leaders who need a defensible, board-ready view of AI exposure, for compliance and governance teams prioritizing AI control investments, and for existing Axio360 clients extending their risk program to cover AI. It is available as a standalone solution and integrates natively for existing Axio360 clients. Axio AIR is also available to risk advisory and insurance partners through native MCP (Model Context Protocol) availability, allowing it to plug directly into the tools and workflows those practices already run. Axio AIR draws on Axio's existing depth in critical-infrastructure sectors, including energy, financial services, and public sector organizations - among those most exposed to AI regulations. Axio AIR is generally available starting August 13, 2026. Organizations can request a demo at axio.com/demo-now.