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
[ Continuous AI Red Teaming for Financial Services ]
Analyst recognition
Standards leadership
A decade of adversarial research
20+ industry awards
20+ industry awards
Financial integrity, regulatory exposure, and fraud amplification. We test for all three.
By 2027, financial services will spend nearly $100 billion on AI. From autonomous agents to algorithmic decision-making, AI is deeply embedded in systems that move money and assess risk. Attackers are weaponizing AI to exploit financial workflows, bypass compliance controls, and manipulate agentic models. Traditional security tools only check for traditional attacks and basic text safety — financial AI needs security that understands semantic intent and financial context.
[ 01 ]
“Can the AI mishandle funds?”
[ 02 ]
“Will this create a reportable breach?”
[ 03 ]
“Can attackers weaponize the AI agent?”
[ THE AI RED TEAMING PLATFORM ]
The agentic AI security platform that covers your entire AI stack — models, agents, and infrastructure (MCP) — proactively red teams them before attackers do, and continuously evolves defenses in real time.
For AI platform & architecture teams
Map your AI attack surface with the most complete threat model
For AppSec and red teaming teams
300+ techniques, 50+ mutation engines, AI-driven attack planners
For CISOs, risk, and compliance teams
Risk-ranked findings with audit-ready evidence
Every finding includes compliance mapping, reproducible attack artifacts, and remediation playbooks — so you can respond to auditors in hours, not weeks.
High-risk AI system requirements
Vulnerability coverage
Agent-specific threat coverage
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
<4 HRS
To Break Any Frontier Model
[ 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 prevents production incidents, from agentic drift to cyberattacks — and generates the evidence auditors require.
