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Managed Bot Protection in Financial Services: Anti-Fraud, Compliance, Continuity

Posted DateOctober 3, 2025
Posted Time 6   min Read
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In the first half of 2025, more than 742 million attacks were recorded across 600+ financial sites, according to the Indusface State of Application Security Report: Banking and Financial Services, underscoring a 51% year-over-year surge in threats. Bots were the most persistent threat, detected on 95% of applications, where they powered campaigns to crack credentials, scrape sensitive data, and exploit payment systems.

What makes today’s bot attacks particularly dangerous is their sophistication. These are not simple scripts hammering login forms. Modern bots now mimic human behavior, rotate devices, and blend into normal traffic, slipping past static defenses. For financial institutions that depend on trust, uptime, and seamless customer experience, the impact is severe: fraud, downtime, regulatory risk, and customer churn.

With bot traffic in finance running  always-on managed bot protection is no longer just a defensive measure; it is essential to safeguarding resilience, trust, and customer confidence.

Types of Bot Attacks Threatening Financial Services

1. Credential Stuffing

In financial services, credential stuffing bots exploit the massive volume of stolen passwords circulating on the dark web. They target banking portals and fintech apps with automated login attempts, often blending seamlessly with legitimate user activity. The risk is particularly high because even a small percentage of reused passwords can lead to direct account access, enabling fraudsters to move money instantly.

2. Account Takeover (ATO) Bots

ATO bots go beyond password guessing by targeting entire identity lifecycles. They exploit weak recovery mechanisms, session hijacking, and even OTP bypass attempts to seize customer accounts. In a sector where trust and compliance are paramount, successful account takeovers not only drain funds but also invite regulatory penalties and erode customer confidence.

3. Payment Fraud Bots

These bots are programmed to exploit financial transactions at scale. They can rapidly test stolen credit card details, abuse promotional offers, or automate small but repeated fraudulent transfers. For banks and payment processors, the danger lies in the cumulative financial losses and the operational strain of investigating thousands of suspicious low-value transactions.

4. Web Scraping and Data Harvesting

Scraping bots systematically collect sensitive or proprietary financial data, such as loan rates, market pricing, or investment products. While this may not look like a direct attack, it undermines competitive advantage, drives up infrastructure costs, and can even fuel more advanced fraud schemes by providing attackers with insider intelligence.

5. Denial of Wallet and Resource Drain Attacks

Some bots focus not on stealing but on exhausting resources. By repeatedly triggering OTPs, balance checks, or loan calculators, they inflate infrastructure costs and degrade service availability. For financial institutions that rely heavily on SMS gateways, APIs, and backend validations, this translates into increased operational expenses and degraded customer experiences.

Because finance involves regulated data (customer identity, transaction history), and high user expectations of uptime, the stakes are very high.

Compliance and Customer Trust

In financial services, bot protection is not just a technical safeguard; it is both a regulatory requirement and a cornerstone of customer trust.

Frameworks and regulators worldwide emphasize this need. PCI DSS requires payment systems to be secured against unauthorized access, including bot-driven attacks, to protect cardholder data. PSD2 (EU) enforces strong customer authentication and transaction monitoring, reducing risks from automated fraud. GLBA (US) mandates financial institutions to safeguard customer information through reasonable cybersecurity controls, which extend to automated threats. Similarly, the Reserve Bank of India (RBI) directs regulated entities to implement multi-layered defenses, including adaptive authentication, anti-bot CAPTCHA, strong session management, and risk-based two-factor authentication for digital payments.

Failure to comply with these obligations whether PCI, PSD2, GLBA, or RBI guidelines, can result in penalties, operational restrictions, regulatory scrutiny, and most importantly, erosion of customer trust.

Upholding Customer Trust

Automated attacks targeting accounts, transactions, or sensitive data can lead to:

  • Direct Financial Losses: Unauthorized access or fraudulent transactions.
  • Reputational Damage: Erosion of trust, potentially driving customers to competitors.
  • Legal and Regulatory Consequences: Penalties and litigation arising from insufficient data protection.

Institutions that adopt advanced bot mitigation demonstrate a proactive approach to security, reinforcing trust and showing commitment to safeguarding both customer interests and regulatory obligations.

Core Features of Managed Bot Protection for Financial Services

Managed bot protection combines advanced behavioral models, continuous monitoring, and expert oversight to secure high-value financial applications against automated abuse. Below is a detailed look at the core capabilities:

Behavioral and AI/ML-Powered Detection

Financial institutions face bots that mimic human-like patterns during login, payments, or trading activity. Traditional static rules fail when attackers randomize IPs, rotate devices, or replicate real user behavior. Managed bot protection solutions like AppTrana rely on AI/ML-driven anomaly detection, analyzing login velocity, transaction flows, fingerprinting, and behavioral deviations to separate malicious bots from genuine users.

It continuously profiles live traffic using behavioral models, flagging even subtle anomalies that evade static filters. By analyzing real-time user behavior, it accurately detects sophisticated credential stuffing and payment fraud bots, even when they mimic legitimate traffic.

In the bot mitigation market, behavioral bot mitigation is typically an add-on and could also layer in additional billing on requests per minute (RPM) thresholds. While evaluating bot management solutions, always check if the quote includes behavioral DDoS and whether there are any variable billing parameters.

Multi-Layer Detection and Bot Scoring

The finance sector deals with multiple attack categories: credential stuffing, card testing, scraping, API abuse, and business logic manipulation. No single detection method covers them all. Managed bot protection applies a layered approach, combining fingerprinting, workflow validation, anomaly detection, and correlated bot scoring. Each request is evaluated on multiple dimensions before being allowed or blocked. Bot scoring is particularly critical as it blends signals like IP reputation, request headers, navigation paths, and geolocation into a confidence score. High-risk scores trigger stronger mitigations, while borderline cases can be rate-limited or challenged without blocking legitimate users.

Real-Time Mitigation Without Customer Friction

In finance, even a few seconds of friction in logins, payments, or trading can damage customer trust. This is why blocking bots must never impact legitimate users. Managed bot protection solutions like AppTrana enforce real-time mitigation at the edge, filtering harmful traffic instantly without adding latency

AppTrana enforces mitigation at the edge with granular controls tailored to each situation. High-confidence bot traffic can be blocked outright, while medium-risk bots may be throttled or challenged with crypto puzzles to slow them down. In some cases, bots are fed fake data to waste attacker resources while protecting real users. This layered approach ensures that real banking transactions, fintech APIs, and trading activities remain fast and uninterrupted even when under active bot attacks.

For each of these mitigation methods, it is a best practice for the bot mitigation vendor’s SOC team to monitor for false positives. When evaluating bot protection software, always check the false positive rates and the exact vendor workflow that ensures that there are no false positives. Business continuity is the #1 priority for the organization and false positives should not impact that.

Workflow Validation

Attackers often exploit business logic rather than vulnerabilities, for example, automating repeated loan applications or bulk trading orders. A bot protection solution with workflow validation ensures every step in a transaction matches expected behavior. Bots that skip or manipulate steps are blocked, while real users follow the flow naturally and face no friction. This keeps banking, payment, and trading workflows secure and seamless.

For workflow-based policies, make sure that you understand the bot mitigation vendor’s SLAs. Ensure that SLAs are part of the contract before finalizing a vendor.

Continuous Monitoring and Expert Oversight

To stay ahead of sophisticated bots, continuous monitoring and expert intervention are crucial. By analyzing traffic in real time, a bot monitoring and protection service detects patterns in bot attacks and creates advanced, targeted rules to block specific threats. Attackers inevitably leave unique fingerprints, and tracking these allows security teams to preemptively counter new bot behaviors.

Human expertise plays a key role, experts review these patterns, fine-tune policies, and ensure mitigation rules stay accurate and effective. AppTrana’s Bot Monitoring and Protection Service combines automated analysis with expert oversight to deliver real-time adjustments, keeping defenses aligned with the latest attack techniques.

As discussed earlier, reviewing SLAs for bot policies and false positive rates is important before signing up for a bot protection platform.

Integrated Security Architecture

Bots often work in combination with DDoS attacks API abuse, or vulnerability exploitation. Protecting against them in isolation leaves gaps that attackers can exploit. Managed bot protection works best when integrated into a broader WAAP stack.

AppTrana embeds bot protection into its fully managed WAAP, alongside WAF, DDoS, and API security. This unified architecture ensures coordinated defenses across multiple attack vectors, giving financial services a single shield against layered threats.

While most platforms are integrated, most often, the by default capabilities only include signature-based protection and even there the configuration is generally set to logging mode. Understand what is included in the quote you receive from the OEM providers.

Scalability for High Traffic and Bot Campaigns

Financial services face predictable seasonal spikes such as holiday shopping seasons, IPO launches, or loan schemes, as well as unexpected volumetric bot campaigns. Bot defenses must scale instantly to handle both.

AppTrana’s infrastructure is designed to absorb large request volumes without introducing latency. With unmetered bot mitigation, organizations are not limited by traffic volume or the number of bot requests. This ensures that even during massive bot attacks such as credential stuffing or trading surges protection remains uninterrupted, uptime is maintained, and legitimate users experience no performance impact at all without additional cost.

Most providers add overage charges if the peak traffic exceeds the rps plan that you are currently subscribed to. Understand what the overage charges could be in hypothetical scenarios and try to get an email confirmation from the sales exec. After all, most sales executives default to saying ‘yes’ to everything, which can backfire during a large volumetric attack.

Compliance and Audit Readiness

Beyond blocking attacks, financial institutions must prove resilience to regulators and auditors. Detailed reporting of bot activity, mitigation actions, and residual risks is critical for PCI-DSS, GDPR, RBI, SEBI, and other financial regulations.

AppTrana provides detailed dashboards and audit-ready reports on blocked bots, scoring decisions, and mitigation outcomes. This ensures that financial institutions can demonstrate both technical effectiveness and regulatory compliance.

Bot attacks are getting smarter every day. Don’t let bots disrupt your business. Protect accounts, payments, and sensitive data with AppTrana WAAP, a fully managed, always-on bot protection solution.

Start your free trial and build resilience with confidence.

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Vinugayathri - Senior Content Writer
Vinugayathri Chinnasamy

Vinugayathri is a dynamic marketing professional specializing in tech content creation and strategy. Her expertise spans cybersecurity, IoT, and AI, where she simplifies complex technical concepts for diverse audiences. At Indusface, she collaborates with cross-functional teams to produce high-quality marketing materials, ensuring clarity and consistency in every piece.

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