Fintech Leader Establishes AI Security & Governance

One of the world’s largest financial technology providers, serves more than 2,000 global customers with a workforce of 10,000 employees. Its platforms power mission-critical financial services across lending, treasury, payments, and retail banking. As part of its innovation agenda, the company accelerated adoption of AI applications and agents to enhance customer experiences, streamline operations, and unlock new insights—while maintaining the rigorous security and compliance standards demanded in financial services. 

Rapid, decentralized growth of AI initiatives created silos and operational complexity—particularly across Databricks environments and adjacent AI services—making it difficult to view risks consistently or enforce policies at enterprise scale.

• Visibility gaps: Disparate teams launched AI projects without consistent oversight, or consistent visibility into applications, agents, data flows, and model endpoints.
• Heightened risk: Use of open-source models and third-party components raised questions about security, licensing, and responsible usage.
• Process friction: Manual governance and reporting spread across tools (e.g., ad-hoc dashboards, spreadsheets) slowed reviews and audits.
• Unclear ownership: Without a single system of record, it was hard to map project ownership, supply chain dependencies, and SLA accountability.

These hurdles slowed time-to-value and created potential exposures in a tightly regulated industry. 

In order to accelerate secure AI adoption, the customer deployed PointGuard AI—a unified platform that combines AI application & agent security, AI governance, and supply chain visibility into a single, end-to-end solution.

Premier Databricks Integration
As a premier Databricks customer, they needed governance embedded directly in its core data and AI environment. PointGuard AI delivers deep, seamless integration with Databricks pipelines and workspaces—bringing centralized visibility, control, and audit-ability to the company’s most strategic AI initiatives. PointGuard partners closely with Databricks to expand joint capabilities that strengthen outcomes and speed adoption. 

Centralized Discovery & Governance
PointGuard AI automatically discovers AI services, Databricks instances, and MLOps resources across business units, creating a real-time inventory of AI applications and agents, mapped to owners, environments, and business use cases. Consolidated dashboards and auditable histories replace fragmented reporting and enable consistent, enterprise-wide governance. 

Risk-Based Prioritization Across the AI Stack
PointGuard AI continuously detects and correlates findings across the full AI application stack—models, data, AI platforms, code, and supply chains. Intelligent deduplication and risk scoring cut noise by up to 90%, focusing teams on the highest-impact issues and improving SLA performance at scale. Workflows integrate with existing ticketing systems to speed triage and remediation without disrupting developer velocity. 

Continuous Automated Red Teaming
PointGuard AI embeds adversarial testing directly into development and delivery workflows. The platform simulates real-world adversarial behaviors against AI applications and agents—probing for prompt-injection, data exfiltration, jailbreaks, model misuse, privacy leaks, and policy evasion. Tests run continuously against model endpoints, prompts, and agent toolchains, with results correlated to affected assets in Databricks and related platforms. Findings are enriched with impact context, prescriptive fixes, and automated guardrail policies to prevent regressions—so teams can harden systems proactively before production exposure. 

Automated Governance & Audit Readiness
PointGuard AI replaces manual approval chains and scattered artifacts with centralized AI Impact Assessments, policy controls, and exportable audit trails. Compliance and legal teams get self-service views of lineage, licensing, and attestations, reducing review cycles and preparation effort for internal and client audits. 

Outcomes

• Unified AI and AppSec governance across 50+ business units.
• ~90% reduction in vulnerability noise and faster risk resolution.
• Significant reduction in manual reporting for security, legal, and risk teams.
• Clear visibility into AI supply chains, agent interactions, licensing, and project ownership.
• Accelerated ticket creation, SLA tracking, and audit readiness.

Comprehensive, end-to-end platform: PointGuard AI unifies discovery, risk, Continuous Automated Red Teaming, compliance, and remediation across applications, agents, data, and model supply chains—eliminating tool sprawl and manual workarounds. 

Deep Databricks alignment: Tight integration with Databricks embeds governance where the customer invests most heavily, ensuring controls and guardrails live alongside production data and AI pipelines. Joint collaboration between PointGuard and Databricks accelerates roadmap fit and customer value. 

Enterprise-grade visibility and control: A single system of record provides real-time inventories, ownership mapping, and policy enforcement across teams and business units—boosting accountability and reducing risk. 

Proven business impact: With measurable noise reduction, streamlined compliance, and faster SLA performance, PointGuard AI helps scale AI adoption confidently—maintaining regulator and customer trust while speeding innovation.