DataAI Security for Payments Companies

How Payments Companies Use AI

The payments industry is at the pinnacle of digital transformation, with emerging technologies like artificial intelligence (AI) that leverage petabytes of data, including sensitive data. Payments platforms today span wallets, gateways, finance providers, and more.

AI-driven systems are transforming payments workflows, fraud detection, optimizations, handling of escalations, risk management, and customer support. This gives payments companies a competitive advantage by accelerating throughput and boosting customer satisfaction.

To accelerate AI at scale, payments companies leverage machine learning technologies to drive strategic decisions. Their goal is to move AI from pilots to production and to operationalize by reducing cost and risk.

These capabilities set payments companies apart from traditional banks. AI-driven architectures allow these companies to scale with efficiency and speed. Hence, leading payments companies set themselves apart with the data context to fuel their AI.

This development has a profound impact on the industry, but the risks also accumulate, especially when the sensitive data is not properly governed and secured.

What are the Key Blockers?

Despite huge investments, scaling AI from pilots to production comes with risks, and since organizations are risk-averse, they stall innovation. Lack of visibility into the sensitive data is the foundation of these risks. Data & AI governance is another minefield, as organizations are unable to see who has access to what sensitive data. These also break trust in AI systems as they ingest sensitive data without proper governance policies in place.

This results in data breaches, compliance violations, and hefty fines. Mergers and acquisitions (M&A) are also compromised with gaps in Data & AI security and governance.

Securiti: Turn Data & AI Security into a Competitive Advantage

Securiti DataAI Command Center helps payments companies like payments processors, PSPs, wallets, gateways, and infrastructure providers protect sensitive data and safely accelerate AI.

By delivering a unified platform for DataAI discovery, classification, risk detection, and automated remediation, Securiti enables payments platforms to reduce exposure, strengthen access governance, streamline compliance, and unlock the full business value of data and AI at scale.

1. Secure AI Adoption

Payments companies are deploying AI agents and Copilots into their fraud detection, underwriting models, and many other environments. But they are unable to keep up with the data flowing in them, they lack the guardrails to control sensitive prompts, and because of AI governance gaps, new risks are evolving faster.

With Securiti’s Agent Commander, payments companies can now automatically discover all AI models in their environments. They can quickly correlate AI entitlements and detect toxic combinations before breaches happen. Payments data is crucial, hence they can now enforce proactive data controls for labeling, access, sanitization, and ROT. Securiti also undoes unintended AI-driven changes at scale, enhancing resilience.

Securiti helps payments companies scale AI safely from pilots to production, accelerating fraud intelligence and customer support without risks.

Example: A payments risk team deployed an internal AI copilot that summarized chargeback patterns while preventing data exposure of transaction histories or customer data.

2. Prevent Data Exposure

Payments data spans across multicloud environments, where a single misconfiguration can expose millions of records violating compliance and compromising customer trust.

Securiti continuously discovers and accurately classifies data across multicloud, SaaS, and payments stacks. Payments companies can now identify toxic combinations with the full context of the knowledge graph, so security teams can proactively remediate misconfigurations and focus on high-risk items and not noise.

Securiti helps payments companies shrink the blast radius, secure merchant trust, and eliminate risks before they become breaches.

Example: A payments company protected its sensitive data via auto-remediation of exposed cloud buckets containing transaction data.

3. Govern Data Access

Payments companies operate in comprehensive teams with access to sensitive data. Entitlements accumulate gradually, and overprovisioned data access can quietly cause violations and breaches.

Securiti’s knowledge graph correlates users, groups, machines, and their entitlements. Payments companies can enforce least privilege data access to sensitive data, detect overprovisioned and most active users. They can also right-size access controls via custom policies, row-level filtering, and dynamic column masking.

Securiti helps payments companies enforce least privilege data access and enables safe sharing with full control of their data without slowing operations.

Example: A payments company enforced least privilege by masking the SSNs and granting fraud investigators access.

4. Automate Compliance Controls

Regulations like PCI DSS are crucial for payments companies, but these platforms also navigate across evolving regulations, and manual audits may consume months of effort, slowing innovation.

Securiti automates compliance by continuously mapping tests to compliance controls across sensitive data, AI models, and generates audit-ready reports, making compliance a by-product of strong security and governance.

Securiti helps payments companies stay compliant and proactively prepares them for audits so they can focus on improving operations without friction.

Example: A payments company ensures PCI DSS compliance with thousands of data stores within days instead of weeks.

5. Drive Data Minimization

Payments companies drive their day-to-day operations with sensitive data. This data is also fed into their AI models. However, duplicate files, stale data, and trivial information can not only increase cost but also cause compliance violations, breaches, and AI model inefficiency.

Securiti automatically discovers redundant, obsolete, and trivial (ROT) data across payments environments. They can now prioritize the identification of duplicates/near-duplicates, as well as stale data that no longer serves business purposes. By leveraging policy-driven deletion/archival through a federated approach, payments companies can actively perform remediation.

This enables payments companies to cleanse irrelevant or outdated records while reducing cost and risk. This also helps maintain the AI efficacy of models deployed in payments environments.

Example: A PSP reduced storage cost, breach risk, and boosted their AI efficacy by removing their duplicate and stale data.

What Safe Data & AI Make Possible with Securiti

Proactive Data & AI security enables payments companies to operationalize innovation safely at scale.

a. Accelerate Topline Growth

Enhance customer experiences, while fueling innovation via secure Data & AI into proactive fraud decisions, increased authorization rates, and enhanced payment experiences.

b. Minimize Business Risk

Enable partnerships, innovative products, and strategic expansions by protecting sensitive payments data, enforcing least privilege, and automating compliance.

c. Reduce Operational Expenditure

Minimize operational and storage costs and eliminate redundant, obsolete, and trivial payment data, like duplicate logs, stale exports, and legacy analytics copies.

Payments companies scale innovation at the speed of business. This is where Securiti helps payments platforms to safely and efficiently operationalize their DataAI risks with precision.

Request a demo to see how Securiti transforms hidden DataAI risks into a source of competitive advantage.