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CyberCube

Cyber risk analytics platform for insurance

Security Research Engineer - Attack Surface & Risk Signals

Full-TimeUpdated on 10/23/2026
$140k - $160k/yr
Mid, Senior
Bachelor's, Master's
San Francisco, CA, USA
Hybrid
CybersecuritySecurity Governance, Risk & Compliance

About the job

Requirements
  • Expert-level understanding of internet architecture and foundational networking, including network protocols such as TCP/IP, BGP, DNS, HTTP/S, and TLS; routing; autonomous system number ecosystems; and complex enterprise network configurations.
  • Ability to apply mathematical and statistical concepts to real-world problems, design quantitative metrics, and build logic to score and size risk exposure accurately.
  • Experience conceptualizing complex, abstract security concepts and breaking them down into measurable data points.
  • A bachelor's or master's degree in Computer Science, Computer Engineering, Mathematics, Statistics, or a related highly quantitative or technical field.
  • Three to five or more years of relevant work experience in network engineering, cyber threat research, risk modeling, or a related domain.
Responsibilities
  • Develop quantitative signals to measure a company's exposure to cyber attacks based on its network architecture, asset configurations, and internet footprint.
  • Translate theoretical cybersecurity concepts and complex network topologies into empirical, actionable risk metrics and assumptions.
  • Evaluate how organizations deploy and configure internet-facing protocols, cloud infrastructure, and enterprise networks, and extract meaningful insights.
  • Research emerging cyber threats, including critical vulnerabilities, ransomware, trending exploits, and data breach techniques, and map them to underlying asset configurations.
  • Serve as a subject matter expert on internet architecture and work with product, analytics, and engineering teams to integrate risk signals into production models.
Desired Qualifications
  • Proficiency in Python or R to prototype algorithms and turn theoretical risk concepts into programmatic outputs.
  • Experience with SQL and relational databases to retrieve, manipulate, and analyze large datasets of asset and configuration data.
  • Familiarity with big data frameworks such as Spark or Hadoop, flat files, complex data types such as JSON and XML, and APIs.
  • Experience working in or adjacent to the cyber insurance, risk modeling, or data science industries.
  • Advanced technical or security certifications, such as CISSP, CISM, or advanced Cisco or networking certifications.

About the company

CyberCube provides a cloud-based analytics platform that helps insurance companies quantify and manage cyber risk for underwriting and portfolio management. The platform works by integrating proprietary datasets and predictive models into an insurer's workflow, allowing them to analyze potential threats and price policies accurately. Unlike competitors that may only provide software, CyberCube combines its technology with a multidisciplinary team of experts in data science, cyber security, and actuarial science to offer guided consulting and training. The company's goal is to provide the insurance industry with the data and insights necessary to make informed decisions about cyber risk exposure.

Company Size

51-200

Company Stage

Growth Equity (Non-Venture Capital)

Total Funding

$285M

Headquarters

San Francisco, California

Founded

2015

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Simplify's Take

What believers are saying

  • CyberCube added Consilium, Helix, Dochterman, and KOBAN SÜDVERS partnerships in 2026.
  • Spectrum Equity's $180 million 2025 investment funds global expansion and product development through 2026.
  • The September 2026 AI incident roundup positions CyberCube as the standard for emerging-loss modeling.

What critics are saying

  • CyberCube depends on brokers adopting its workflow; carriers can bypass brokers by November 2026.
  • Chris Methven replaced Pascal Millaire in February 2026, creating execution risk during expansion.
  • Guidewire, Moody's RMS, and insurer-built models can commoditize cyber analytics and crush pricing.

What makes CyberCube unique

  • CyberCube serves 75% of top 40 European and U.S. cyber carriers in 2026.
  • Its Broking Manager quantifies cyber risk financially across placement, underwriting, and portfolio decisions.
  • The 2026 I2T2 framework extends CyberCube beyond cyber into AI-driven multi-line insurance risk.

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Benefits

  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • 401(k) Company Match
  • Unlimited Paid Time Off
  • Parental Leave
  • Hybrid Work Options
  • Flexible Work Hours
  • Professional Development Budget
  • Mentorship Program
  • Childcare Support

Growth & Insights and Company News

6 month growth

0%

1 year growth

0%

2 year growth

0%
Asia Insurance Post
Oct 19th, 2026
CyberCube adds Sompo Japan Insurance to growing list of Asian clients.

CyberCube adds Sompo Japan Insurance to growing list of Asian clients. Sompo Japan Insurance has spent the past several years building its cyber capabilities, developing a tailored cyber offering for its core Japanese market. To support this continued growth, Sompo Japan Insurance has selected Account Manager, CyberCube's single-risk cyber underwriting solution, along with CyberCube's Portfolio Manager suite, which includes Single Points of Failure (SPoF) Intelligence and the Attritional Loss Model (ALM). London: CyberCube, the leading provider of cyber risk analytics for the insurance industry, today announced that Sompo Japan Insurance, one of Japan's largest property and casualty insurers, has joined its growing base of Asian clients. Sompo Japan Insurance has spent the past several years building its cyber capabilities, developing a tailored cyber offering for its core Japanese market. To support this continued growth, Sompo Japan Insurance has selected Account Manager, CyberCube's single-risk cyber underwriting solution, along with CyberCube's Portfolio Manager suite, which includes Single Points of Failure (SPoF) Intelligence and the Attritional Loss Model (ALM). Together, these tools will give Sompo Japan Insurance's cyber underwriting team a fuller, more data-driven view of risk, from individual account selection through to portfolio-wide accumulation and attritional loss. Noritaka Shigeta, CPCU, ARM, Head of Cyber, E&O, Japan at Sompo Japan Insurance, said: "As we continue to grow our cyber offering in Japan, it's essential that our underwriting is backed by the most rigorous data and analytics available. CyberCube's suite gives our team a much sharper view of risk, from the individual account to the full portfolio, and will be a valuable partner as we build out our cyber capabilities further." Juan Marcano, principal at CyberCube, added: "We're delighted to welcome Sompo Japan Insurance to our growing community of clients across Asia. Its adoption of our products reflects the increasing sophistication we're seeing in cyber underwriting across the region, and we look forward to supporting Sompo Japan's continued growth." The agreement builds on CyberCube's ongoing momentum across Asia, following recent partnerships including in the Philippines, Singapore and India, as insurers across the region invest in more sophisticated cyber underwriting and portfolio management capabilities.

Asia Insurance Post
Oct 13th, 2026
CyberCube and Blackpanda Partner to enhance Cyber Risk Analytics for brokers across Asia.

CyberCube and Blackpanda Partner to enhance Cyber Risk Analytics for brokers across Asia. Cyber risk models used across Asia have typically been benchmarked against a single global average. Under the new collaboration, Broking Manager, CyberCube's cyber-risk analytics platform for brokers used across 40 countries, now adds an APAC regional view to CyberCube's existing loss severity, incident frequency, and security posture benchmarks. This move will enable peer comparisons to reflect the market brokers' clients operate in. London: CyberCube and Blackpanda have today unveiled a partnership to bring cyber risk analytics to brokers across Asia, pairing CyberCube's modeling platform with Blackpanda's incident-response presence in the region. Cyber risk models used across Asia have typically been benchmarked against a single global average. Under the new collaboration, Broking Manager, CyberCube's cyber-risk analytics platform for brokers used across 40 countries, now adds an APAC regional view to CyberCube's existing loss severity, incident frequency, and security posture benchmarks. This move will enable peer comparisons to reflect the market brokers' clients operate in. As part of the partnership, Blackpanda will refer local brokers across Asia to CyberCube and license Broking Manager for use with its own broker relationships, while its incident response team remains on call for referred clients. CyberCube has also licensed Blackpanda's aggregated, anonymized incident data for regional research. Brokers in Asia can request an introduction to Broking Manager through Blackpanda. Nate Brink, Head of Broker Sales & Account Management, CyberCube, said: "Brokers across Asia have told us for years that a single global benchmark doesn't reflect what they're actually seeing in the market. This partnership brings Broking Manager's regional benchmarking to brokers across Asia, backed by Blackpanda's reach and incident response expertise in the region, so they can have a more grounded conversation with their clients about exposure and coverage." "Clients are asking their brokers harder questions about cyber exposure and how much cover is enough," said Gene Yu, Founder and CEO of Blackpanda. "Broking Manager gives brokers a structured way to answer them: the financial-loss analytics and peer-benchmarking insights they need to prepare for client conversations. When an incident happens, their clients can call on our responders, recognised by Frost & Sullivan as Asia-Pacific's Incident Response Company of the Year for three years running. Keeping advice and response this close together serves everyone in that conversation," Yu said.

Associated Press
Sep 1st, 2026
CyberCube launches I2T2 framework to quantify AI-driven insurance risk across multiple coverage lines

CyberCube has launched six new AI Event Families and an I2T2 framework to help insurers evaluate AI-driven losses. The framework examines AI risk across four dimensions: Information, Intelligence, Tactics, and Technology. The company argues AI risk extends beyond cyber insurance, affecting multiple coverage lines including Errors & Omissions, General Liability, and Directors & Officers. AI can cause harm through flawed output even when functioning as designed, without malicious actors involved. CyberCube notes insurers will face AI risk similarly to how they addressed silent cyber risk. Jon Laux, VP of Product and Analytics, said the framework provides "a structured way to think, evaluate, and quantify emerging risk." The company will host a webinar on 17 September 2026 to discuss the framework further. CyberCube, established in 2015 within Symantec, provides cyber risk analytics software to insurance institutions globally.

The Infotech
Sep 1st, 2026
CyberCube creates new Framework for evaluating AI-Driven losses.

CyberCube creates new Framework for evaluating AI-Driven losses. ET By Editorial Team September 1, 2026 CyberCube, the leading provider of cyber risk analytics, unveils six new AI Event Families and a new I2T2 framework, providing carriers, brokers, and risk managers with a practical way to think about and evaluate AI-driven loss. The I2T2 framework addresses AI risk in a way that remains applicable to cyber insurance, while also reflecting the wider array of insurance risks now possible. The framework sets out four dimensions through which AI affects insurance risk: Information, Intelligence, Tactics, and Technology. CyberCube's framework is set out in "Machine State of Mind: A Framework for Quantifying AI-Driven Insurance Risk," examining how artificial intelligence is reshaping risk across the insurance industry. It notes that AI is no longer a niche technical risk confined to a single line of insurance. As AI systems take on greater autonomy in decision-making, content generation, and operational processes, they introduce new forms of loss that cut across established coverage lines, including, but not limited to, Errors & Omissions (E&O), Technology E&O, Cyber, General Liability, and Directors & Officers, as well as introducing novel impacts that insurance has never covered before. As this new intelligence evolves, CyberCube argues that the industry's ways of thinking about insurance risk must evolve with it. Rather than treating AI risk as just an extension of Cyber risk, the framework examines where AI and Cyber overlap, where they diverge, and what this means for how claims are likely to be triggered and allocated across policies. Key findings. * AI risk shares several characteristics with Cyber risk, including single points of failure (SPoFs), human error, data loss, and the potential to amplify existing threats. However, it also differs in important ways. For example, AI can cause harm through hallucination or flawed output even when functioning exactly as designed, without the involvement of any malicious actor. * AI is best understood as a technology and information revolution, rather than merely an evolution of Cyber risk. As the use of AI extends into many corners of the global economy, new frameworks are required for understanding how AI could affect property-casualty insurance coverages. * (Re)insurers grappling with AI risk will follow a path similar to that previously taken with non-affirmative ("silent") Cyber risk. Lessons from the last decade suggest that the exact application of coverages will vary by carrier. Given the breadth of transformation AI is creating, however, (re)insurers must reckon with AI risk as a multi-line challenge and opportunity. Jon Laux, VP of Product and Analytics, CyberCube, said: "At CyberCube, we are excited to help the insurance industry - and society at large - seize the opportunity by providing a structured way to think, evaluate, and quantify emerging risk. We hope the I2T2 framework can be the beginning of the journey and will provide a foundation on which others can build as they refine their own view of AI risk." CyberCube notes AI is already changing risk across a host of insurance lines, and this trend will only accelerate. John Anderson, Director of Product Management, CyberCube, said: "Carriers who recognize the transformation, act to mitigate the downside, and capitalize on the upside will serve a critical function for the 21st century economy, providing coverage, capital, and clarity in a rapidly changing landscape. Conversely, those who shrug off this transformation and try the 21st century equivalent of treating all transportation risk as homogeneous will be in for a rude surprise."

Insurance Edge
Jul 14th, 2026
US market: Dochterman Insurance working with CyberCube.

US market: Dochterman Insurance working with CyberCube. The latest update from the US market; Dochterman Insurance, the only U.S. brokerage that exclusively serves manufacturers, has launched a fully integrated cyber risk program that combines CyberCube's cyber risk analytics platform with IT assessment and CMMC 2.0 compliance services from Resource Computer Solutions (RCS). The program gives manufacturers a single point of contact for cyber risk identification, IT remediation, federal compliance certification, and insurance placement capabilities that until now required coordinating multiple unrelated vendors. The announcement comes as the Department of Defense enforces the Cybersecurity Maturity Model Certification (CMMC) 2.0 requirements across its supply chain. Phase 1 requirements for contractors took effect on November 10, 2025. Phase 2, beginning November 10, 2026, will require third-party certification for most contracts involving Controlled Unclassified Information. Manufacturers that fail to certify will be ineligible to bid on or retain Department of Defense work. Through the program, CyberCube's Broking Manager, Prep Module, and Cyber Connect solutions quantify a manufacturer's cyber exposure in financial terms, modeling potential losses from ransomware, operational disruption, and supply chain attacks. RCS then conducts a gap analysis against NIST 800-171 controls and manages the remediation and documentation required for CMMC certification. Dochterman bases the cyber insurance policy on both the risk data and the client's improved security posture, significantly discounting their insurance premiums. Michael Dochterman, CEO of Dochterman, said: "Manufacturers recognize the importance of achieving compliance but often lack the internal resources and expertise needed. Many who attempt to handle it themselves fail, and the process can be highly disruptive to their operations. To address this, we developed a program that provides a single team responsible for identifying risks, fixing vulnerabilities, preparing for CMMC certification, and selecting appropriate insurance - all from experts who understand the realities of a shop floor. Since manufacturing is our sole focus, this dedicated approach is what makes it effective." Nate Brink, Head of Broker Partnerships at CyberCube, added: "By adopting CyberCube's solutions, Dochterman is translating technical cyber risks into financial conversations that manufacturers can act on. Together, we're helping manufacturers make more informed decisions about resilience and insurance protection." Tim Coates, CEO, Resource Computer Solutions, stated: "At Resource Computer Solutions, we are focused on helping manufacturers turn cybersecurity and compliance into a strategic advantage. By aligning CMMC 2.0 requirements with practical, real-world implementation, we enable our clients to strengthen their security posture while maintaining operational efficiency and competitiveness."