AI-Powered Application Security & DevSecOps Maturity Assessment Agent for Cyber Insurance

Software vulnerabilities introduced during development remain one of the largest and most preventable sources of cyber loss. The Application Security & DevSecOps Maturity Assessment AI Agent evaluates how effectively organizations embed security into their software development lifecycleâ€”analyzing SAST/DAST integration, secure code review practices, vulnerability remediation velocity, and security champion program effectiveness to produce an application security maturity score for cyber insurance underwriting. This blog explains how the agent works, what DevSecOps signals it analyzes, how it differentiates mature secure development practices from checkbox compliance, and how carriers can integrate application security assessment into their risk selection and pricing workflows.

The OWASP Top 10 has consistently identified injection, broken access control, and cryptographic failures as the most common application vulnerabilities driving cyber incidents. According to Veracode's State of Software Security 2025 report, organizations with mature DevSecOps practices remediate critical vulnerabilities 16.5x faster than those without, and organizations in the highest DevSecOps maturity quartile experience 55% fewer application-layer breaches. For cyber insurers writing technology companies, SaaS providers, financial services platforms, and any organization with custom software development, the ability to differentiate between mature and immature secure development practices directly translates to loss ratio performance. Learn how AI is transforming cyber insurance for carriers across underwriting and risk assessment. For understanding how application risk aggregates across portfolios, see our analysis of cyber reinsurance as a systemic peril.

What is DevSecOps maturity assessment and how does it work for cyber insurance?

DevSecOps maturity assessment is an AI tool that evaluates how effectively an organization integrates security into its software development lifecycleâ€”analyzing security testing automation, remediation velocity, code review practices, and developer security enablement to produce a risk score for cyber insurance underwriting.

The Application Security & DevSecOps Maturity Assessment AI Agent is an AI system that evaluates an organization's secure software development capability by analyzing security tooling integration, vulnerability management within development pipelines, developer security culture, and governance over the software supply chain to produce a composite application security maturity score.

What does this agent cover?

The agent processes cyber insurance applicationsâ€”new business and renewalâ€”across standalone cyber, technology E&O, and professional liability policies, scoring DevSecOps maturity on a 1-to-10 scale with full factor-level explainability.

The agent evaluates application security maturity across every cyber insurance submission where the applicant develops, deploys, or customizes software. It covers technology companies, SaaS providers, financial services platforms with in-house development, healthcare organizations with custom patient-facing applications, and any business where application-layer vulnerabilities represent a material cyber risk. The agent produces a maturity score from 1 (ad hoc, no formal application security) to 10 (fully automated security integrated throughout SDLC). The cyber risk scoring agent provides foundational multi-signal underwriting context that complements the application-specific analysis.

What data powers the assessment?

The agent pulls from six data categoriesâ€”SAST/DAST tool outputs, CI/CD pipeline configuration, vulnerability management records, code review logs, developer training data, and security champion program documentationâ€”each mapped to specific risk signals.

Data Source	Provider Examples	Risk Signals Extracted
SAST Tool Outputs	Checkmarx, Veracode, Snyk, SonarQube	Code-level vulnerability detection coverage, scan frequency, false positive rates
DAST Tool Outputs	Invicti, Acunetix, Burp Suite Enterprise	Runtime vulnerability detection, authenticated scanning coverage, API security testing
CI/CD Pipeline Configuration	Jenkins, GitLab CI, GitHub Actions, Azure DevOps	Security gate presence, automated testing integration, deployment approval workflows
Vulnerability Management Platform	DefectDojo, ThreadFix, ServiceNow VR	Remediation velocity, severity-based SLA compliance, vulnerability aging metrics
Developer Security Training	Secure Code Warrior, SANS, Immersive Labs	Training completion rates, language-specific coverage, assessment scores
Security Champion Program	Self-assessment, program documentation	Champion-to-developer ratio, champion training, champion authority and time allocation

How is the maturity score calculated?

A weighted multi-factor model: security testing integration (30%), remediation velocity (25%), secure code review coverage (20%), security champion program maturity (15%), and CI/CD security gate deployment (10%).

The agent applies a weighted multi-factor scoring model. Security testing integration contributes 30% of the score (SAST/DAST coverage across codebases, scan cadence, scanning depth). Remediation velocity contributes 25% (mean-time-to-remediate critical/high findings, SLA compliance rate). Secure code review coverage contributes 20% (percentage of code changes subject to peer security review, review thoroughness). Security champion program maturity contributes 15% (champion-to-developer ratio, champion enablement, program governance). CI/CD security gate deployment contributes 10% (automated gates preventing vulnerable code progression, gate bypass controls).

What does loss data reveal about this risk factor?

Organizations in the highest DevSecOps maturity quartile experience 55% fewer application-layer breach incidents and 60% lower average breach cost compared to the lowest quartileâ€”validating the scoring model's predictive value.

The agent's scoring model is trained on historical cyber claims data correlated with application security maturity indicators. Organizations in the highest maturity quartile experience 55% fewer application-layer breach incidents and 60% lower average breach cost compared to organizations in the lowest quartile, validating DevSecOps maturity as a strong predictor of application-origin cyber losses.

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Why do cyber insurers need DevSecOps maturity assessment?

Application-layer vulnerabilities drive the majority of breach incidents, yet traditional underwriting rarely evaluates how software is built. DevSecOps maturity assessment enables carriers to identify organizations with mature secure development practices, price software risk accurately, and avoid underwriting blind spots in technology-heavy portfolios.

DevSecOps maturity assessment is critical because application-layer vulnerabilities remain the leading source of breach incidents, organizations with immature secure development practices represent hidden portfolio risk, and carriers need objective metrics to differentiate software-intensive risks in an increasingly competitive cyber insurance market.

Why are application vulnerabilities the primary attack vector?

The OWASP Top 10 vulnerabilitiesâ€”injection, broken access control, cryptographic failuresâ€”continue to drive the largest share of cyber incidents, with application-layer attacks causing 43% of breach incidents according to the Verizon 2025 DBIR.

Application-layer attacks remain the most common vector for cyber incidents. According to the Verizon 2025 Data Breach Investigations Report, web application attacks represent 43% of breach incidents. For organizations that build and deploy software, the security of the development pipeline directly determines the attack surface exposed to threat actors. The security posture assessment agent evaluates organizational controls broadly, while DevSecOps assessment targets the software creation process specifically.

What gap exists in traditional cyber underwriting for apps?

Traditional cyber insurance applications ask about firewalls and endpoint protection but rarely evaluate secure coding practicesâ€”creating a blind spot where two technology companies with identical infrastructure security may have dramatically different application risk profiles.

Conventional cyber underwriting questionnaires focus on network security, endpoint protection, and access controls but rarely probe application security practices. This creates a significant information asymmetry where carriers cannot distinguish between organizations that embed security throughout development and those that perform only pre-release penetration testingâ€”or none at all.

Why does technology sector concentration create risk?

Cyber insurance portfolios increasingly concentrate in technology, SaaS, and fintech sectors where custom software development is core to operationsâ€”creating systemic accumulation risk from common development practices and shared software supply chains.

As cyber insurance portfolios grow in technology and SaaS sectors, application risk concentration increases. Multiple policyholders may share common development practices, open-source dependencies, or API design patterns that create correlated loss exposure. The endpoint security audit agent assesses infrastructure security, but application-layer risk requires distinct analytical approaches.

How does DevSecOps assessment differentiate risk in tech sectors?

Carriers that can confidently assess DevSecOps maturity can write technology-sector business at competitive rates for mature organizations while appropriately pricing or declining risks with weak secure development practices.

The ability to differentiate between mature and immature secure development practices creates a structural competitive advantage in writing technology-sector cyber insurance. Carriers using DevSecOps maturity assessment can identify well-defended organizations that traditional underwriting would price equivalently to less mature peers, winning profitable business through risk-informed pricing.

Metric	Traditional Cyber UW	DevSecOps-Enhanced UW
Application Security Assessment	Limited to questionnaire-based self-attestation	Data-driven SAST/DAST integration analysis
Remediation Velocity Measurement	Not assessed	Mean-time-to-remediate tracked per severity
CI/CD Pipeline Security Visibility	Not assessed	Automated security gate and pipeline configuration analyzed
Secure Coding Culture Evaluation	Not assessed	Security champion coverage and developer training quantified
Premium Differentiation for Software Risk	Minimal	3 to 7x between mature and immature organizations

How does an AI agent assess DevSecOps maturity for a cyber insurance application?

It ingests SAST/DAST tool outputs, CI/CD pipeline configurations, vulnerability management platform data, and security champion program documentationâ€”cross-referencing these against maturity frameworks to produce a composite score and underwriting recommendation within minutes.

The agent processes a cyber insurance application through a sequential pipeline of application security tool data ingestion, framework-aligned maturity assessment, remediation velocity analysis, and underwriting recommendation generation.

How does the agent capture application security tooling data?

The agent captures outputs from the applicant's SAST, DAST, and SCA tools, supplements with CI/CD pipeline configuration exports, and maps findings to OWASP and CWE classificationsâ€”creating a structured view of application security testing coverage and effectiveness.

When a cyber insurance application is submitted, the agent ingests data from the applicant's application security testing tools through API integrations or structured data exports. It captures scan coverage metrics, vulnerability findings by severity, scan frequency data, and tool configuration details to establish the baseline security testing posture. The industry-specific cyber risk profiling agent provides complementary vertical risk context.

How does the agent analyze CI/CD pipeline security gates?

The agent evaluates whether security testing is automated in build pipelines, whether automated gates prevent vulnerable code progression, and whether pipeline configurations follow secure-by-default patterns.

The agent analyzes CI/CD pipeline configurations to determine whether security testing is embedded in automated build and deployment processes. It evaluates the presence of automated security gates that prevent code with critical or high-severity findings from progressing to production, the handling of gate bypasses, and the integration of security scanning with deployment approval workflows.

How does the agent measure remediation velocity?

The agent calculates mean-time-to-remediate metrics by severity level, evaluates SLA compliance rates, and compares remediation velocity against industry benchmarksâ€”organizations that fix critical app vulnerabilities within 24 hours receive top scores.

The agent measures how quickly organizations remediate application vulnerabilities after discovery. It calculates mean-time-to-remediate for critical, high, medium, and low severity findings, evaluates compliance with internally defined SLA targets, and compares remediation velocity against industry benchmarks. Organizations demonstrating rapid remediation of critical application vulnerabilities receive proportionally higher scores.

How does the agent evaluate secure code review practices?

The agent assesses the percentage of code changes undergoing peer security review, security champion program coverage across development teams, and developer security training completion rates.

The agent evaluates secure code review practices by analyzing the percentage of code changes subject to peer security review, reviewer qualification requirements, and the use of automated code review assistants. It assesses security champion program maturity through champion-to-developer ratios, champion training levels, dedicated time allocation, and program governance. Developer security training coverage, completion rates, and assessment scores provide additional signals of security culture maturity.

How are scores combined into an underwriting output?

All factor scores combine into a 1-to-10 composite DevSecOps maturity score with confidence intervals, a risk classification, and specific premium, coverage, and risk improvement recommendationsâ€”each with full audit trail.

The agent combines all factor scores into a composite DevSecOps maturity score (1-10) with confidence intervals. It generates a risk classification (preferred, standard, or substandard for application security risk) and recommends premium adjustments, coverage terms, and risk improvement actions. Each output includes full factor-level explainability and a documented audit trail.

How does DevSecOps maturity assessment integrate with my existing underwriting systems?

It connects via REST APIs and message queues to Duck Creek, Guidewire, and other UW platforms using ACORD XMLâ€”pulling SAST/DAST data from Checkmarx, Veracode, and Snyk, and feeding risk scores directly into your rating engine without system replacement.

The agent connects via APIs and message queues to underwriting workstations, policy administration systems, external security tooling platforms, and reinsurer reporting systems.

How does it integrate with existing underwriting systems?

Six integration points: UW workstation via REST/ACORD XML, application security tooling via platform APIs, vulnerability management via API, policy administration via message queue, broker portal via embedded widget, and reinsurance via batch reporting.

System	Integration Method	Data Flow
Underwriting Workstation (Duck Creek, Guidewire)	REST API, ACORD XML	Application data in, DevSecOps maturity score and recommendation out
Application Security Testing Platforms	API integration with Checkmarx, Veracode, Snyk	SAST/DAST scan data ingestion
Vulnerability Management Platforms	REST API	Remediation velocity and SLA compliance data
Policy Administration System	REST API, message queue	Risk factors and scores for rating engine
Broker Portal	Embedded API widget	Real-time DevSecOps maturity score during submission
Reinsurance Treaty and Exposure Systems	Batch reporting	Application risk concentration reporting

How does this align with reinsurer expectations?

Major cyber reinsurers including Swiss Re, Munich Re, and SCOR increasingly evaluate cedants' ability to assess non-traditional cyber risk factors including application security maturity. The agent supports their frameworks and generates portfolio-level concentration reports.

How is security and compliance infrastructure handled?

The agent enforces encryption at rest and in transit, role-based access controls, and full audit logging. For US carriers, it aligns with SOC 2 Type II and state-specific data privacy requirements. For Indian carriers, it supports data residency under the Digital Personal Data Protection Act 2023 and DPDP Rules 2025, along with IRDAI's Information and Cyber Security Guidelines.

Is AI-powered DevSecOps maturity assessment compliant with insurance regulations?

Yes. It complies with the NAIC Model Bulletin on AI (adopted by 25 US states as of March 2026), the NYDFS Cyber Insurance Risk Framework, and IRDAI Regulatory Sandbox Regulations 2025â€”with full audit trails and bias testing for every scoring decision.

Regulatory considerations span AI governance, fairness testing, adverse action documentation, and data privacy across US and Indian jurisdictions.

What US regulations apply?

Five key frameworks: NAIC AI Bulletin (25 states, March 2026), NAIC AI Evaluation Tool Pilot (12 states), FCRA for adverse action, state rate filing requirements, and NYDFS Cyber Insurance Risk Frameworkâ€”all requiring documented governance and bias testing.

Framework	Status	Impact on DevSecOps Scoring
NAIC Model Bulletin on AI	Adopted by 25 states, March 2026	Requires documented AIS Program, human oversight, bias testing
NAIC AI Evaluation Tool Pilot	12 states, March to September 2026	Exhibits A-D documentation for high-risk AI underwriting systems
FCRA and State Fair Credit Laws	Active	Adverse action notices required when scores influence declination or pricing
State Rate Filing Requirements	Varies by state	Model documentation and validation required for rate approval
NYDFS Cyber Insurance Risk Framework	Active	Requires risk-based underwriting with defined assessment criteria

What India regulations apply?

Four frameworks: IRDAI Sandbox Regulations (XAI and audit trails), DPDP Act 2023 (consent and data residency), IRDAI Cyber Security Guidelines (six-hour incident reporting), and product filing guidelines requiring documented underwriting criteria.

Framework	Status	Impact on DevSecOps Scoring
IRDAI Regulatory Sandbox Regulations 2025	Active	Requires XAI frameworks and audit trails for AI underwriting models
DPDP Act 2023 and DPDP Rules 2025	Active	Consent management, data residency, purpose limitation
IRDAI Information and Cyber Security Guidelines	Updated March 2025	Six-hour incident reporting, encrypted data handling
IRDAI Guidelines on Product Filing for Cyber Insurance	Active	Requires clear underwriting criteria and risk factor documentation

How does the agent address fairness and bias?

The agent includes automated disparate impact testing across industry sectors, organization sizes, and geographic regions. Every model update triggers fairness assessments comparing score distributions and underwriting outcomes across segments, with results documented for regulatory examination.

How does the agent support adverse action documentation?

When an organization receives a higher application security risk score that affects premium or coverage, the agent generates a detailed explanation citing specific DevSecOps maturity gaps, tooling deficiencies, and remediation velocity shortfalls that contributed to the scoreâ€”supporting regulatory compliance and providing a roadmap for improvement.

What ROI and business outcomes can I expect from DevSecOps maturity assessment?

5% to 10% loss ratio improvement, 55% fewer application-layer incidents in top-scored vs bottom-scored quartiles, 3 to 7x premium differentiation, and real-time portfolio-wide application risk concentration visibilityâ€”all within two policy cycles.

Cyber insurers can expect improved loss ratio through better risk selection in software-intensive sectors, reduced application-layer breach exposure, enhanced competitive positioning for technology-sector business, and stronger broker and policyholder relationships.

What loss ratio improvement can I expect?

Five measurable outcomes: 5-10% loss ratio reduction, 55% fewer app-layer incidents in mature organizations, portfolio-level application risk visibility, 25% improved underwriter consistency, and 15-20% faster quote-to-bind for mature DevSecOps organizations.

Benefit	Expected Impact
Loss ratio improvement	5% to 10% reduction
Application-layer incident frequency differentiation	55% fewer in top-scored vs bottom-scored quartile
Portfolio application risk visibility	Real-time concentration detection across policyholders
Underwriter decision consistency	25% improvement in inter-rater reliability
Quote-to-bind cycle time	15% to 20% reduction for mature DevSecOps organizations

How does it identify portfolio application risk concentration?

The agent analyzes common development frameworks, shared open-source dependencies, and similar CI/CD patterns across policyholders to identify where a single vulnerability class could affect multiple insureds simultaneouslyâ€”enabling aggregate exposure management.

How does it create competitive advantage in tech sector UW?

Carriers using DevSecOps maturity assessment can confidently write technology companies, SaaS providers, and fintech organizations at competitive rates for mature risks while identifying hidden application risk in organizations that appear well-managed based on infrastructure metrics alone.

How does it deliver value to brokers and policyholders?

The agent provides brokers with transparent, evidence-based application security assessments that they can use to help clients improve secure development practices. Organizations receiving lower scores receive clear, actionable recommendations for improving SAST/DAST coverage, remediation velocity, and security champion programs.

Differentiate your cyber underwriting with AI-powered DevSecOps maturity intelligence.

Talk to Our Specialists

Visit insurnest to learn how we help cyber insurers identify, score, and price application security risk.

What are the limitations and risks of using AI for DevSecOps maturity assessment?

It depends on accurate access to application security tooling data and honest self-assessment. Organizations with no formal AppSec program may lack data entirely. The rapidly evolving DevSecOps tooling landscape requires frequent model updates. It must be weighted within the overall cyber risk scoreâ€”it is a component, not a standalone replacement for holistic assessment.

The agent requires high-quality application security tooling data, accurate self-assessment inputs, ongoing model recalibration as DevSecOps practices evolve, and careful integration with broader cyber risk assessment.

How does limited tooling data affect assessment?

Organizations without formal application security programs generate minimal tooling data, requiring the agent to rely on self-assessment and conservative default scoring. The agent addresses this gap through structured questionnaires and conservative scoring that treats absent data as indicating low maturity.

How does the agent handle self-assessment accuracy risks?

Application security maturity assessment relies partially on self-reported data about code review practices, security champion programs, and pipeline security gates. The agent includes consistency checks and cross-validation against tooling data where available, but intentionally inflated self-assessments remain a risk factor requiring underwriter judgment.

How does the agent keep pace with DevSecOps evolution?

DevSecOps tools and practices evolve rapidly. New security testing approaches, pipeline automation patterns, and developer enablement methods emerge faster than traditional actuarial review cycles. The agent supports continuous model monitoring with automated drift detection and more frequent recalibration.

How does DevSecOps maturity fit into overall risk scoring?

DevSecOps maturity is a component of overall application risk, not a replacement for broader cyber risk assessment. Carriers must calibrate the weight of application security maturity within their overall scoring framework. For understanding how broader risk signals combine, the predictive cyber loss modeling agent demonstrates how AI-driven multi-factor models are reshaping cyber portfolio management.

What is the future of DevSecOps maturity assessment in cyber insurance?

Continuous pipeline security monitoring across policy periods, predictive AI that forecasts application vulnerability trends, automated maturity improvement verification, and integration with software supply chain risk assessmentâ€”shifting application security underwriting from point-in-time assessment to continuous risk monitoring.

The future points toward continuous DevSecOps maturity monitoring throughout the policy period, integration with software supply chain security assessment, automated verification of maturity improvements, and evolution toward predictive application vulnerability risk scoring.

Will pipeline security be monitored continuously?

Future versions will enable continuous monitoring of CI/CD pipeline security configurations and remediation velocity throughout the policy periodâ€”alerting carriers when pipeline security gates are weakened or remediation SLAs degrade mid-term.

Can AI predict application vulnerabilities before detection?

Emerging AI capabilities can predict which application components are most likely to develop vulnerabilities based on code complexity metrics, historical finding patterns, and developer experience factors. Integration of these predictive capabilities will enable proactive application risk assessment.

Will maturity improvements be verified automatically?

Future versions will integrate with policyholder DevSecOps tooling to automatically verify implementation of recommended maturity improvements, creating a closed-loop cycle where premium credits are earned through verifiable secure development practice enhancements.

Will it integrate with supply chain risk assessment?

As software supply chain attacks increase, DevSecOps maturity assessment will converge with software composition analysis and third-party dependency risk evaluation to provide a comprehensive view of application-origin cyber risk across the entire software supply chain.

How can I use DevSecOps maturity assessment in my underwriting workflow?

Across five workflows: new business risk evaluation for software-intensive applicants, renewal maturity refresh, technology portfolio concentration analysis, reinsurance treaty support, and risk advisory servicesâ€”giving underwriters application-security-informed decisions at every stage.

It is used for new business underwriting, renewal risk refresh, technology-sector portfolio analysis, reinsurance treaty placement, and risk advisory services across cyber insurance operations.

How does it support new business risk evaluation?

At submission for technology and software-intensive applicants, the agent processes SAST/DAST outputs, CI/CD pipeline configurations, and remediation metrics to deliver a DevSecOps maturity score within minutesâ€”enabling same-day decisions for software-intensive risks.

How does it support renewal risk refresh?

At renewal, the agent re-assesses the entire renewing portfolio using updated tooling data, revised remediation metrics, and current maturity benchmarksâ€”identifying organizations where application security maturity has improved or degraded for evidence-based premium adjustments.

How does it manage technology portfolio concentration analysis?

Running the agent across the in-force technology-sector portfolio identifies common development frameworks, shared open-source dependencies, and similar pipeline patterns that create systemic application riskâ€”enabling aggregate exposure limits and targeted reinsurance purchasing.

How does it support reinsurance treaty negotiations?

The agent generates application security concentration reports for reinsurance treaty negotiations, providing visibility into portfolio-level software development risk that treaty partners increasingly evaluate.

How does it deliver risk advisory and engagement?

Detailed factor-level scoring enables carriers to provide technology-sector policyholders with specific, actionable recommendations for improving SAST/DAST coverage, remediation velocity, and security champion programsâ€”transforming underwriting into a value-added advisory relationship.

What questions do insurers commonly ask about DevSecOps maturity assessment?

How does the Application Security & DevSecOps Maturity Assessment AI Agent evaluate secure coding practices?

It analyzes SAST/DAST tool integration, secure code review coverage, vulnerability remediation velocity metrics, security champion program maturity, and the depth of security gates embedded in CI/CD pipelines to produce a DevSecOps maturity score for cyber insurance underwriting.

What data sources does the DevSecOps Maturity Assessment AI Agent use?

Static and dynamic application security testing tool outputs (Checkmarx, Veracode, Synopsys, Snyk), CI/CD pipeline configuration data, vulnerability management platform records, secure code review logs, developer security training completion data, and security champion program documentation.

Is the DevSecOps Maturity Assessment AI Agent compliant with NAIC and IRDAI regulations?

Yes. It supports the NAIC Model Bulletin on AI adopted by 25 US states as of March 2026 and aligns with IRDAI Regulatory Sandbox Regulations 2025, with documented scoring methodology, factor-level explainability, and full audit trail support.

What DevSecOps maturity frameworks does the agent align with?

It aligns with OWASP SAMM (Software Assurance Maturity Model), BSIMM (Building Security In Maturity Model), NIST SSDF (Secure Software Development Framework), and ISO/IEC 27034 Application Security standardsâ€”providing framework-aligned scoring that carriers can reference in underwriting guidelines.

How does DevSecOps maturity correlate with cyber loss experience?

Organizations in the highest DevSecOps maturity quartile experience 55% fewer application-layer breach incidents and 60% lower average breach cost compared to organizations in the lowest quartile, validating DevSecOps maturity as a strong predictor of application-origin cyber losses.

What specific DevSecOps practices does the agent score most heavily?

SAST/DAST integration in CI/CD pipelines, mean-time-to-remediate critical vulnerabilities, percentage of code subject to peer security review, security champion coverage across development teams, and the presence of automated security gates that prevent vulnerable code from reaching production.

How frequently is DevSecOps maturity re-assessed?

The agent re-assesses at each renewal cycle, with the capability for more frequent re-scoring when significant changes to CI/CD tooling, security testing coverage, or development team composition occurâ€”supporting mid-term premium adjustments tied to verified DevSecOps improvements.

What ROI can cyber insurers expect from deploying this AI agent?

Improved loss ratio by 5% to 10% through better risk selection of software-intensive businesses, reduced exposure to application-layer breach losses, and enhanced competitive positioning when writing technology and SaaS companies within two policy cycles.