Velocity was
fintech’s first MOAT

Security posture and customer trust
are the current
APIs and developer velocity drove fintech’s rise, but survival and expansion now depends on securing them. Levo embeds API security and compliance into your SDLC so velocity remains an asset, not a liability.
Illustration of multiple browser windows with code snippets, representing API development and GitHub integration
Trusted by industry leaders to stay ahead
five 9 logo
Bharat Bank
Axis Finance
Insurance Information Bureau of India
Square
Epiq Global
Poshmark
AngelOne
Scrut automation
Axis Securities
five 9 logo
Bharat Bank
Axis Finance
Insurance Information Bureau of India
Square
Epiq Global
Poshmark
AngelOne
Scrut automation
Axis Securities

Only fintechs that secure their APIs will scale.

Achieve full API visibility without slowing developers

Levo continuously discovers and documents every internal, external, partner, and third-party API mapping versions, methods, auth patterns, payloads, and sensitive data flows in real-time.

Enforce strong access controls to prevent account takeovers and fraud

Levo actively monitors OAuth token scopes, consent bindings, and session validations automatically detecting drift, misuse, and unauthorized expansions.
By embedding real-time access control security testing during the build, fintechs prevent fraudulent transactions, account hijacks, and rewards abuse before they escalate.

Strong security posture without compromising velocity

Levo ensures that fintechs not only meet PCI-DSS 4.0, GDPR, SOC2, and other compliance frameworks that demand periodic security testing but also adapt to continuous deployment with continuous security testing.

Avoid breaches and fines with prioritized vulnerability remediation

Levo identifies and prioritizes vulnerabilities based on real exploitability and sensitive data exposure. So fintech teams focus remediation efforts where customer data, revenue, and compliance exposure are highest.

Adapt monitoring to match your business, APIs, and attack patterns

Custom YAML/Python rule engines let teams define fintech-specific defense strategies  as wallet APIs, aggregation platforms, and embedded finance ecosystems grow.

RAG is transformative and
risky if left ungoverned

Retrieval‑Augmented Generation is a game-changer as it lets language models pull the latest insights from documents, databases and web content. This makes AI outputs smarter, reduces hallucinations and enables rapid customization. Yet the same design introduces new attack surfaces and operational complexities:
Untrusted Inputs & Poisoned Data

RAG pipelines ingest external and internal content by design. If an attacker injects malicious or false data into a vector store, the AI will treat it as gospel, leading to misinformation or policy violations.

Sensitive Data Exposure

Knowledge bases often contain PII/PHI and proprietary IP. Without guardrails, RAG systems can retrieve and surface confidential data, violating privacy laws and eroding customer trust.

Prompt Injection & Semantic Exploits

Attackers can hide instructions in retrieved text to coerce a model into leaking secrets or performing unauthorized actions, bypassing traditional network controls.

RAG Sprawl & Inconsistent Controls

Teams spin up separate RAG experiments using different tools. This fragmentation duplicates effort and leaves security gaps because each pipeline handles data and access differently.

Operational & Skill Complexity

Building RAG involves vector databases, embedding models and orchestration across agents and LLMs. Many enterprises lack the expertise to deploy and secure these components at scale.

Lack of Specialized Tooling

Conventional security products (WAFs, DLP, IAM) don’t understand prompts, embeddings or agent chains. Without RAG‑aware monitoring and enforcement, organizations fear they won’t detect or stop novel attacks.

Lead the next fintech race
without losing the velocity that built you

Eliminate API sprawl before it triggers breaches

Levo’s eBPF-powered discovery engine continuously maps every API: external, internal, third-party, open source, zombie and shadow APIs across all environments.  
It classifies exposure points handling sensitive data without strong access control all without needing any code or configuration changes.

Real-time API documentation for faster integrations

Every discovered API is instantly documented with 12+ granular parameters: versions, endpoints, methods, auth logic, payload structures, rate limits, and human-readable descriptions.
This streamlines secure partner onboarding, accelerates fintech integrations (Plaid, Stripe, embedded finance partners), and ensures APIs are ready for compliance validation without incurring developer bottlenecks or technical debt.

  1. Authentication status
  2. Rate limiting behavior
  3. Version history
  4. Error response handling

Launch new APIs faster without diminishing security posture

Every code merge triggers context-aware attack simulations across APIs security testing for scraping risks, token replay attacks, OAuth misconfigurations, BOLA/BFLA vulnerabilities, consent drift, and PKCE enforcement failures.
Testing is fully automated inside GitHub Actions, GitLab, Jenkins, and Bitbucket pipelines ensuring vulnerabilities are detected before release without slowing down feature launches.

Proactively protect customer data at the source

Levo automatically detects and classifies sensitive data flows (PCI DSS cardholder data, PII, account metadata, transaction details, consent artifacts) across all APIs including third-party and open integrations.
By pinpointing APIs touching critical financial information, fintechs can proactively enforce encryption, access control, tokenization, and rate limiting.

API governance success without sacrificing developer agility

Levo continuously monitors all API traffic for deviations from secure development policies. SSL inconsistencies, missing authentication headers, exposed server version leaks, improper encryption, and PII overexposures out of the box are continuously detected and surfaced.
Custom YAML/Python rule engines let security teams enforce fintech-specific governance requirements like mandatory encryption, proper CORS settings, and header validation so APIs stay compliant without manual inspection.

Lead with velocity. Win with security posture. Grow with trust.