June 4, 2026
Open-source methodology by OWASP, CoSAI, CSA, and NIST contributors enables enterprises to compare AI agents by security risk for the first time
Read moreJune 4, 2026
Open-source methodology by OWASP, CoSAI, CSA, and NIST contributors enables enterprises to compare AI agents by security risk for the first time
Read moreJune 4, 2026
Open-source methodology by OWASP, CoSAI, CSA, and NIST contributors enables enterprises to compare AI agents by security risk for the first time
Read more
[ AI Security for Insurance Industry ]
Analyst recognition
Standards leadership
A decade of adversarial research
20+ industry awards
20+ industry awards
Underwriting integrity, claims fraud amplification, and regulatory exposure. We test for all three.
By 2027, the insurance sector will invest billions into AI to scale operations. AI is now deeply embedded in systems that process sensitive data and move capital. Attackers are weaponizing AI to exploit insurance workflows, bypass fraud controls, and manipulate agentic models. Existing security tools only look for traditional IT attacks and basic text safety. You need security that understands semantic intent and insurance business context.
[ 01 ]
“Can AI be manipulated to underprice risk?”
[ 02 ]
“Can attackers weaponize the AI to inflate payouts?”
[ 03 ]
“Will this create a reportable compliance breach?”
[ Continuous Security Across Your Entire AI Stack ]
Protect your agents, models, applications, and MCPs with the platform built specifically for continuous AI red teaming in highly regulated environments.
Powered by the world’s first AI Security Patent (US 11,275,841 B2). Utilizes 300+ attack techniques, 30+ mutation strategies, and AI-driven attack planners to simulate insurance-specific threats.
Tailored code snippets, suggested fixes, and policy changes ready for your engineering teams to implement immediately.
Deploy via cloud, hybrid, or fully on-premises (air-gapped) to meet the strictest data sovereignty and privacy requirements.
Instantly map discovered vulnerabilities to industry standards, including the EU AI Act, NIST AI RMF, HIPAA, DORA, and OWASP LLM Top 10.
500+
AI vulnerabilities discovered
100%
OWASP LLM Top 10 coverage
5+
Regulatory frameworks mapped
Every finding includes compliance mapping, reproducible attack artifacts, and remediation playbooks — so you can respond to auditors in hours, not weeks.
NIST AI RMF
Risk management framework alignment
EU AI Act
High-risk AI system requirements
OWASP LLM Top 10
LLM-specific vulnerability coverage
OWASP Agentic AI
Agent-specific threat coverage
MITRE ATLAS
AI threat landscape mapping
[ CUSTOMER EVIDENCE ]
A leading financial institution deployed Adversa AI to test its internal generative assistant. Within hours, the platform discovered previously unknown types of vulnerabilities that could trigger unauthorized data access across multiple tools. Within days, the system learned to generate new exploit classes automatically and deliver tailored mitigations mapped to real business risks — not just technical CVEs.
3 HRS
To First Critical Finding
40+
Threat Groups Tested
4
Audit-Ready Reports Generated Automatically
[ TRUST & PROOF ]
Lead contributors to NIST AI RMF, OWASP ASI, CoSAI and other industry initiatives. World's first AI security patent.
Gartner Representative Vendor, IDC Innovator, KuppingerCole Innovation Leader. SOC 2 Type I & II audited, ISO 27001 certified.
Featured in Forbes, Fortune, WSJ, Dark Reading, MIT Technology Review, WIRED, TechCrunch, Security Week, and more.
[ GET STARTED ]
Schedule a demo to see how Adversa AI discovers agentic AI security gaps your current tools miss — and generates the compliance evidence regulators require.
