Case Study

Hardening the Agentic Perimeter for Global Fintech

This case study demonstrates the impact of the Adversaia™ (Ad-verz-A-I) Resilience Assessment in a high-stakes financial environment, utilizing the findings and methodology from the recent Adversarian Labs resilience report.

The Challenge: Non-Deterministic Risk in AI Operations

A Tier-1 Fintech organization was rapidly deploying AI-assisted operations—specifically combining Fraud & FinCrime controls with Agentic Workflow Resilience (AWR). While their models performed well in standard conditions, they lacked a quantifiable way to measure how their workflows would behave under adversarial stress or "Cognitive Drift".

The Adversarian Intervention

Adversarian Labs conducted a comprehensive Resilience Assessment across four critical decision-making nodes:

Onboarding/KYC

Validating identity and behavior signal integrity.

Disputes/Refunds

Testing velocity constraints and linked-entity graph resilience.

Payout Changes

Probing the relationship between support actions and destination modifications.

Agentic Ops Safety

Evaluating the scope and permissions of autonomous tools.

The Baseline Performance

The initial assessment established a baseline Attack Resilience Index (ARI):

78

Overall ARI

Amber band (moderate risk)

73%

Scenario Pass Rate

Across all synthetic packs

4

Material Gaps

High/Critical findings

Critical Findings & Forensic Insights

Using Decision Lineage to trace every simulated action, Adversarian Labs identified the following high-impact vulnerabilities:

CRIT

Gating Failure

A critical vulnerability where support overrides preceded payout changes without an enforced approval gate or cooling period.

HIGH

Agentic Scope

Agent tool scopes were found to be too broad, allowing autonomous actions to be proposed without narrow policy checks.

HIGH

Signal Linkage

Beneficiary changes lacked consistent requirements for device trust and session risk binding.

The Remediation Roadmap

Adversarian Labs provided a 90-day execution sequence based on "Patch Patterns":

1

Phase 1 (0–30 Days)

Closing CRIT gaps via step-up authentication and cooling periods for high-risk account changes.

2

Phase 2 (31–60 Days)

Implementing entity-level velocity constraints and strengthening device/session signal requirements.

3

Phase 3 (61–90 Days)

Hardening Agentic Workflow Resilience by restricting tool scopes and enforcing policy-eval before execution.

The Outcome: Audit-Ready Resilience

By moving from "gut-feel" security to a Decision Contract framework, the organization achieved:

Reduced Risk

Systematic elimination of CRIT/HIGH findings through validated retesting.

Governance Traceability

An immutable timeline of events capturing what signals were evaluated for every decision.

Regulatory Alignment

A "Paper Trail of Resilience" suitable for internal evaluation of control effectiveness and governance review.

Ready to validate resilience on your workflows?