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Mobile App Security is the best practice to protect mobile applications from multiple security threats, frauds, and vulnerabilities. It safeguards your Android & iOS mobile apps against financial frauds. It also mitigates potential risks associated with the ever-evolving cyber threats in mobile-first economy.

Real-time threat monitoring involves capturing real-time threats and analysing potential risks to the respective mobile applications. It tracks app or user behaviour & actions to detect and mitigate security threats. By leveraging advanced technologies and anomaly detection, threat monitoring ensures proactive identification and response to potential risks. It safeguards mobile applications from various frauds such as reverse engineering attacks, unsecured network, data & identity thefts, app tampering, and more.

At every Mobile App launch, the Runtime Application Self-Protection (RASP) identifies and detects vulnerabilities impacting Mobile Apps and takes appropriate action to safeguard mobile apps from ever-evolving mobile cyber threats & frauds.

At every Mobile App launch, the Runtime Application Self-Protection (RASP) identifies and detects vulnerabilities impacting Mobile Apps and takes appropriate action to safeguard mobile apps from ever-evolving mobile cyber threats & frauds.

Mobile App Security involves various layers of protection to ensure the safety of mobile applications. Runtime Application Self-Protection (RASP) technology actively identifies, detects, and responds against real-time threats. Continuous security updates and regular audits contribute to a robust defence strategy, ensuring mobile apps remain resilient against evolving cyber threats.

DevSecOps aims to implement best security practices during app development and provides additional security layer to Mobile App Security. It creates more resilient and trustworthy mobile applications. It ensures that app meets the security standards set by the organization for flawless app performance. By adopting DevSecOps principles, organizations can reduce cyber risks, identify, and mitigate vulnerabilities early in the development process, and respond swiftly to cyber threat incidents.

Mobile App Security Assessment is an analysis of the security measures implemented and the vulnerabilities and technical flaws in the mobile app. It evaluates overall resilience to cyber threats within mobile application. Mobile App Security aims to expose potential risks, ensuring that the app meets industry security standards set by regulatory bodies. Businesses can proactively address security concerns, safeguard endpoints, and enhance the overall security posture of their business asset (mobile application).

Mobile application tampering refers to unauthorized alterations in mobile app's code, logic, or functioning. It tampers the app's integrity with malicious intent and repackage mimic as the original. Fraudster use App tampering to create Malicious versions of app, which are operational under the illusion of the original brand.

Man-in-the-Middle (MitM) attacks involve an unauthorized third-party intercepting network and modifying communication between two parties. The fraudster positions themselves in-between two communicating parties, acting as a covert intermediary. MitM attacks pose significant threat to Mobile apps integrity and confidentiality, emphasizing the need for robust mobile app security measures.

A state-of-the-art RASP solution, that is powered by Artificial Intelligence and Behavioural Science on our innovative Security Cloud. It is lightweight and easy to integrate SDK for native iOS, Android, and Hybrid Apps. Appprotectt also comply with RBI Digital Payment Security Control Guidelines for mobile banking apps.

SSL pinning, or certificate pinning, is a security technique for mobile app to pin or associate itself with a specific SSL/TLS certificate. Add on layer of security by ensuring that the app only communicates with a server whose certificate matches the pinned one. It prevents fraudsters from intercepting and manipulating the communication.

Device and SIM Binding, binds mobile with the user’s mobile number and the SIM card to avoid any discrepancy in the user validation at app launch. Binding the app to a specific SIM card and device reduces the risk of fraudulent logins and unauthorized transactions. It mitigates the risk of SIM swapping by making it more difficult for fraudsters to gain control of the associated device.

Financial mobile apps hold sensitive and confidential information and shield your Mobile Banking Apps with Zero Trust DEVICE and SIM Binding Solution. SIM and Device Binding creates unique digital identity to validate the authenticity of the user. SIM-User-device relationship eliminates the risk of SMS Spoofing, SIM Swapping, identity theft, etc.

The Zero Trust architecture follow the principles \"never trust, always verify\". Every step in the authentication mechanism and validation process is re-verified and pass the security check from both the source & destination aspects to ensure authentic access to your application. It is a strategic approach that secures an organization by continuously validating mobile apps at every stage.

Code Obfuscation makes application source code difficult to read and understand. An innovative technique safeguards mobile app source code from tampering by hackers & fraudsters. It protects code against decompilation and decoding the business logic with predictable keywords. It protects mobile apps against emerging mobile app threats such as code injection, reverse engineering, and app tampering.

AppProtectt’s is a full stack AI - Native Mobile App Security platform with one-stop, real-time protection for your Android and iOS mobile apps. It provides 100+ Mobile App Security features such as protection from rooted & malicious devices, unsecured network, advance protection from reverse engineering & app tampering, unsecured Wi-Fi security check, protection from screen mirroring and sharing, malware protection.

SMV is near-instantaneous. The entire cryptographic process typically completes within 2-4 seconds.

No. SMV requires the device to be communicating over the cellular mobile data connection to perform the secure SIM-to-MNO handshake. If the user is on Wi-Fi, the system uses the mobile data network briefly or initiates a secure fallback.

The request fails immediately. The cryptographic challenge relies on the unique, secret key stored within the physical SIM card. A spoofed number cannot complete this handshake, making the fraud attempt impossible to authenticate.

AppSMV is a standalone deployable consisting of a SDK, Backend and an admin portal

Yes. SMV is supported in India and is a critical component for mobile-first businesses.

Experience Zone D8–D11 at Jio World Centre, Mumbai. Our team is on-site across all four days, 8 to 11 September 2026.

8 to 11 September 2026, at Jio World Centre, Mumbai. It is the 7th edition, organised by the Payments Council of India, NPCI and the Fintech Convergence Council.

Experience Zone D8–D11 at Jio World Centre, Mumbai. Our team is on-site across all four days, 8 to 11 September 2026.

Live mobile app security running on a compromised device, a security policy changed over the air, the threat analytics dashboard, and our full AI Security Platform - AI Red Teaming against a live AI system, AI Model Scanner checking a model for backdoors and poisoned weights, and AI Runtime Security blocking prompt injection as it happens. Everything on the stand is a running product.

Access is part of the Global Fintech Fest delegate pass, available at globalfintechfest.com. Reserving a slot is worth doing — use the form on this page or write to consult@protectt.ai with what you would like to see.

Mobile app security testing evaluates Android by analyzing source code, compiled binaries, runtime behavior, APIs, and data storage. AppScan automates this process within CI/CD pipelines, ranking findings by proven exploitability.

Mobile app security testing evaluates Android by analyzing source code, compiled binaries, runtime behavior, APIs, and data storage. AppScan automates this process within CI/CD pipelines, ranking findings by proven exploitability.

Mobile SAST analyzes source code and binaries statically without execution. Mobile DAST runs the application to evaluate real-time runtime behavior, API traffic, and business logic. AppScan combines both into a single automated pipeline stage.

Banking and payment applications process sensitive credentials and financial transactions under strict regulatory oversight. Automated testing prevents vulnerabilities from reaching production and satisfies mandates from RBI, SEBI, NPCI, and global regulators.

AppScan utilizes AI engines to correlate static, dynamic, and runtime signals into complete attack chains, filtering false positives and prioritizing fixes based on actual business risk.

Yes. AppScan integrates directly with tools like Jenkins, GitHub Actions, GitLab CI, and Azure DevOps to test every build automatically upon merge or pull request.

Rather than relying solely on abstract severity scores, AppScan demonstrates exploitability by linking vulnerabilities into executable attack chains, highlighting the issues that pose actual risk.

AppScan automates continuous testing on every build, catching common flaws and establishing a verified security baseline so manual pentests can focus on complex business logic.

Yes. Every test run generates documented compliance evidence mapped directly to OWASP MASVS, RBI, SEBI, NPCI, and PCI DSS standards.

MCP security is the practice of securing the Model Context Protocol layer that connects AI agents to tools, data, and services: vetting MCP servers before adoption, testing them before deployment, and controlling and auditing what agents do with them at runtime.

An MCP gateway is an inline layer between AI agents and MCP servers that inspects tool calls, enforces access policy, and logs activity. MCP Proxy is Protectt.ai's MCP security gateway: it allowlists servers, enforces least privilege, detects prompt injection in tool responses, redacts sensitive data, and exports an audit trail.

A rug pull is when a trusted MCP server changes its tools or behavior after you approved it. MCP Security Testing records a known-good baseline, and the platform alerts on server-side changes after approval so previously trusted tools cannot silently turn malicious.

Mobile app security protects an application from threats that reach it through the device it runs on: tampering, reverse engineering, malware, screen capture, cloned apps, and manipulated runtime environments. It combines code-level hardening with runtime controls that detect and respond to attacks while the app is in use, rather than only at build time.

With the rapid rise in digital banking and strict CBUAE mandates, robust mobile banking security UAE institutions deploy must prevent sophisticated financial fraud, ATO, and API abuse to protect customer funds. UAE banking has moved to a mobile-first channel, and CBUAE requirements now reach into the app itself. Institutions are expected to detect screen sharing, malware, and active calls during a session, and to move away from SMS OTP as a standalone authentication method. Meeting those expectations requires controls that live inside the running application.

Runtime Application Self-Protection embeds security controls directly into the app. RASP watches the app's execution context — call stacks, injected code, hooking frameworks, debuggers, device integrity — and responds in real time by blocking, warning, or terminating the session. It sees threats that network and device-perimeter tools cannot, because it runs where the attack lands.

Banks must implement a multi-layered approach combining RASP, device & SIM binding, banking fraud prevention UAE tools, and continuous threat monitoring to secure both the app environment and backend APIs. They should harden the code against reverse engineering, add runtime protection that detects compromised devices and in-session threats, bind the app instance to a verified device and SIM, and also apply behavior-based risk scoring at transaction time.

Fintechs can prevent fraud by utilizing behavioral intelligence, real-time threat telemetry, and robust fintech cybersecurity UAE solutions to block screen mirroring, malicious keyloggers, and bot attacks. Runtime protection blocks tampered and side-loaded apps. Silent mobile verification confirms identity without adding friction. API protection stops credential stuffing and bot-driven abuse at the data layer.

Strong API security UAE solutions authenticate and encrypt the data exchanged between the mobile app and backend servers, preventing attackers from intercepting payloads or launching injection attacks. Mobile API security inspects call patterns for anomalies, verifies that requests come from a genuine app instance, blocks credential stuffing and automated traffic, and enforces rate limits. Without it, an attacker who bypasses the app can still reach backend functions directly.

Mobile app shielding UAE technologies harden an application's code, utilizing the app shielding solution UAE developers trust to make it resistant to reverse engineering, tampering, and debugging. Attackers cannot read, modify, or repackage it. Techniques include polymorphic code obfuscation, string and asset encryption, anti-debugging, and integrity checks. Shielding raises the cost of reverse engineering, which is usually the first step in building a cloned or trojanized version of a banking app.

Protectt.ai integrates as a lightweight SDK that delivers strong mobile app threat detection UAE security teams trust, with no access to your source code. It delivers 100+ runtime controls across the app, device, and network layers, detects fraud conditions such as screen sharing and OTP forwarding, binds sessions to verified devices, protects APIs, and reports everything to a live threat dashboard. Policy changes deploy over the air, and you also get deep integrity checks.

The recurring set: banking trojans and remote access tools, overlay and keylogging attacks, screen mirroring during live sessions, app cloning and spoofing, reverse engineering of the binary, man-in-the-middle interception, rooted and jailbroken devices, SIM swap, and automated attacks against authentication and transaction APIs.

Through runtime integrity checks. The app itself can detect root and jailbreak status, emulators, debuggers, hooking frameworks, unsecured keyboards, screen sharing utilities, malicious or blacklisted apps, VPN and proxy use, and mock location. Detection triggers a policy response - warn the user, restrict functions, or terminate the session.

AppProtectt integrates directly into your mobile application and continuously monitors the runtime environment for security threats. When suspicious activity is detected, it can trigger predefined responses such as blocking access, terminating sensitive sessions, restricting critical functionality, or sending real-time threat intelligence to your backend—helping stop attacks before they can cause damage.

Mobile app security protects a banking or payment app's code, its runtime environment, the APIs it calls, and the transactions it carries. For Saudi institutions, mobile banking security spans code hardening, runtime detection of malware and remote access tools, device and SIM binding, API protection, and evidence your team can show SAMA during an assessment.

The SAMA cybersecurity framework, issued in 2017, sets principle-based controls for member organizations across four domains: leadership and governance, risk management and compliance, operations and technology, and third-party cyber security. It expects multi-factor authentication where an organization offers online services to customers, and SAMA assesses maturity periodically, so controls need evidence in operation.

They set minimum counter-fraud standards for SAMA-regulated finance companies and payment service providers that sit outside the main Counter-Fraud Framework. Full compliance was due by 13 April 2026, with quarterly progress reports to SAMA and an internal audit compliance report by the end of Q2 2026. They replaced SAMA's earlier Anti-Fraud Rules for Finance Companies.

ECC-2:2024 applies to government entities and to private organizations that own, operate, or host critical national infrastructure, which can include financial institutions. SAMA also directs its member organizations to adhere to cybersecurity controls issued by the National Cybersecurity Authority. Protectt.ai supports those programs with mobile application protection, vulnerability testing, and monitoring data for your SOC.

RASP embeds security controls inside the app so it can detect and respond to attacks while it runs. It watches for hooking frameworks such as Frida, debuggers, emulators, code injection, and rooted or jailbroken devices, then blocks, warns, or ends the session. Perimeter tools never see these events because they happen inside the running app.

App shielding is the anti reverse engineering layer of mobile app security. Polymorphic code obfuscation, AES encryption for sensitive keys, anti-debugging, and integrity checks make a banking app hard to read, modify, or repackage, which matters because reverse engineering is usually the first step toward a cloned or trojanized version of the app.

Mobile app security testing finds weaknesses in a build before release, and RASP defends the released app against live attacks. AppScan runs 140+ automated security tests on every build so teams fix issues early, and AppProtectt's RASP detects and responds to attacks in production, so mature programs run both on one mobile app security platform.

Device fingerprinting profiles a device's hardware, software, and network attributes to score risk. Device binding ties an account to a registered device, and SIM binding ties it to a verified mobile number, so a cloned app or swapped SIM cannot take over the session. Protectt.ai uses all three together to reduce account takeover.

Move identity proof onto the device. Device and SIM binding confirm that the registered handset and number are present, AppSMV runs a silent SIM and device check with no OTP in the flow, and AppMFA adds step-up authentication for high-risk moments. That removes the code OTP forwarders and phishing relays are built to intercept.

Mobile API security inspects traffic between the app and backend systems, flags anomalous call patterns, blocks credential stuffing and bot traffic, enforces rate limits, and stops unauthorized calls. It protects the PII and payment data those APIs carry, which matters more as open banking and partner integrations add exposed endpoints.

Agentic AI security protects AI systems that plan and act on their own, including agents that call tools, query data, or trigger transactions. It extends AI application security from the model to the actions an agent takes. Protectt.ai covers the lifecycle with AI Red Teaming, AI Model Scanner, AI Runtime Security with autonomy limits, and MCP Security for the tools agents connect to.

Yes: the AppProtectt security cloud supports local-region hosting, and the platform does not store PII. AppScan and RedPilot agents also run inside your own on-premises, private cloud, or hybrid environment, and code and findings are never sent to external AI services. That simplifies PDPL and data-governance reviews for Saudi institutions.

SAMA cybersecurity compliance stays with the regulated institution, which designs its program and evidences it to SAMA. Protectt.ai supplies the mobile app security compliance building blocks inside that program: runtime controls, fraud detection, device binding, API protection, testing, and audit-ready telemetry, backed by ISO 27001, ISO 22301, ISO 42001, and PCI DSS certifications.

Mobile app security, the core of digital banking security for Indonesian institutions, protects an app's code, its runtime environment, the APIs it calls, and the transactions it carries. In practice that means mobile banking security controls against fake-APK malware and overlays, mobile application protection against tampering, device and SIM binding, API protection, and testing evidence for OJK.

POJK 11/POJK.03/2022 governs IT implementation by commercial banks, and SEOJK 29/SEOJK.03/2022 sets cyber security and resilience requirements, from cyber risk assessment to incident handling. PADK OJK 1/2026, in force since 1 March 2026, replaced SEOJK 21/2017 and updated rules on IT governance, IT service providers, electronic system location, and personal data protection.

POJK 12/2024 requires financial services institutions supervised by OJK, including banks, insurers, and financing companies, to run an anti-fraud strategy built on four pillars: prevention; detection; investigation, reporting, and sanctions; and monitoring, evaluation, and follow-up. It took effect on 31 October 2024, and institutions report on their anti-fraud strategy and fraud cases to OJK.

Bank Indonesia Regulation No. 2 of 2024, with implementing rule PADG No. 24 of 2024, sets information system security and cyber resilience requirements for payment system operators and other parties Bank Indonesia supervises. Payment open APIs also follow SNAP, the national open API payment standard covering authentication, authorization, encryption, and API access management, and ApiProtectt adds mobile API security at runtime for those endpoints.

A scammer sends an APK disguised as a wedding invitation, courier notice, or tax document. Once the customer installs it and grants permissions such as accessibility access, the malware can read SMS OTPs, draw overlays over the banking app, or capture credentials. Runtime protection detects the sideloaded app, the OTP forwarder, and the overlay, then blocks the session.

A mobile RASP solution is security code that runs inside the app and handles mobile threat detection in real time. It detects hooking frameworks such as Frida, debuggers, emulators, injected code, and rooted or jailbroken devices, then responds on policy by blocking, warning, or ending the session, including when the device is offline.

Mobile app shielding is the anti reverse engineering layer for Android and iOS apps. Polymorphic obfuscation, AES encryption for sensitive keys, anti-debugging, and integrity checks make an APK or IPA hard to decompile, modify, or repackage, which matters in a market where fraudsters distribute fake and repackaged apps.

Mobile application security testing finds weaknesses in a build before release, and runtime protection defends the released app against live attacks. AppScan runs 140+ automated tests on every build, giving banks recurring assessment evidence, and AppProtectt handles detection and response in production, so mature programs run both.

Device fingerprinting reads a device's hardware, software, and network traits to score risk. Device binding locks an account to a registered device, and SIM binding locks it to a verified mobile number, so a new handset or swapped SIM cannot quietly take over. Together they give fraud teams identity signals that do not depend on an SMS code.

Digital identity security ties a customer to signals a fraudster cannot easily copy: the registered device, the verified SIM, and consistent behavior. Protectt.ai combines device and SIM binding, silent mobile verification, device fingerprinting, and behavioral risk scoring, so a stolen password or OTP on its own is not enough to take over the account.

Agentic AI security protects AI systems that plan and act on their own, such as agents that call tools, query data, or start transactions. OJK's AI governance guideline covers the full AI life cycle, so banks need controls at each stage: AI Red Teaming before release, AI Model Scanner for the model supply chain, AI Runtime Security in production, and MCP Security for the tools agents connect to.

Yes: the AppProtectt security cloud supports local-region hosting, and the platform does not store PII. AppScan and RedPilot agents also run inside your on-premises, private cloud, or hybrid environment. That simplifies reviews under PADK OJK 1/2026, which covers electronic system location and offshore IT service providers, and under UU PDP.

The cybersecurity compliance Indonesia's regulators expect stays with each bank, insurer, or fintech, which designs its program and evidences it to OJK or Bank Indonesia. Protectt.ai supplies the building blocks, from runtime controls and fraud detection to API protection, testing, and audit-ready telemetry, and holds ISO 27001, ISO 22301, ISO 42001, and PCI DSS certifications.

No. AppProtectt does not store personally identifiable information. Each threat record carries a reference ID that your own systems can map to a customer, so investigations stay inside your organization.

Mobile RASP (runtime application self-protection) is security code that runs inside a mobile app and checks, while the app is in use, whether the device, the app or the session has been compromised. When it finds rooting, hooking, tampering or screen sharing, it responds on policy without waiting for a server.

In effect, yes. NPCI's Comprehensive Mobile Application Security Framework for UPI (NPCI/2025-26/IS/003, 19 May 2025) builds on its April 2020 RASP circular. It marks 19 of its 31 controls as mandatory, including root detection, anti-debugging and tamper detection. PSPs, ASPs and TPAPs certify compliance through a CERT-In empanelled auditor each financial year, by 31 December. Check the capabilities of your existing RASP tool and/or RASP vendor.

AppProtectt supports native Android and iOS apps as well as Flutter, React Native and Cordova. It protects apps with a few thousand users and apps with more than 100 million.

Code obfuscation transforms an app's compiled code so it behaves the same but is far harder for people and decompilers to read. Common techniques rename classes and methods, encrypt strings and resources, and add misleading control flow, which raises the time and skill needed to copy, clone or tamper with the app.

Renaming adds no runtime cost. CodeProtectt decrypts strings and resources at runtime, and teams can exclude performance-critical methods from heavier transformations. Benchmark a protected build against the original before each major release.

No. CodeProtectt is a code obfuscation tool that runs at build time inside your own environment, so your source code stays on your systems. For Android it works on compiled APK and AAB files, and every build produces a mapping file so your team can read crash reports.

CodeProtectt hardens the app before release by obfuscating and encrypting its code. AppProtectt works after release, inside the running app, detecting rooting, hooking, tampering and repackaged copies. The two are available separately and work best together, since obfuscation slows analysis and runtime protection responds when an attack starts.

No. Protectt.ai delivers a sovereign-first architecture designed specifically for regulated Indian BFSI and enterprise clients. The entire AI security suite, including red teaming engines, vulnerability scanners, and runtime guardrails, deploys on-premises or within your private sovereign cloud. No model weights, prompt tokens, or customer telemetry ever exit your enterprise network.

Silent Mobile Verification, also known as Silent Network Authentication, is a carrier-grade authentication method that verifies user identity directly through mobile network operators. When a customer initiates a login or transaction, AppSMV opens a background data session with the mobile network operator to execute a cryptographic challenge against the physical SIM card. The verification completes in 2 to 4 seconds without requiring the user to receive, view, or enter a numeric passcode.

AppSMV requires an active cellular data connection (4G or 5G) to complete the cryptographic handshake with the mobile network operator. If the device is connected to Wi-Fi, the AppSMV SDK momentarily initiates a cellular data channel in the background to complete the verification with the operator, or falls back to your configured secondary authentication policy if no cellular data is accessible.

AppSMV supports all major Indian mobile network operators, including Reliance Jio, Bharti Airtel, and Vodafone Idea (Vi). The platform connects directly with telecom partner gateways across India, providing comprehensive nationwide coverage for retail banking and fintech users.

AppSMV detects all active SIM slots on the device and prompts the application to select the specific SIM card registered with the bank account. The cryptographic handshake is executed exclusively against the cellular interface of the selected SIM, ensuring that multi-SIM devices cannot be exploited using unverified secondary lines.

AppSMV verifies genuine SIM possession at the moment of authentication. If a SIM swap has already occurred and the attacker possesses the newly issued physical SIM, AppSMV validates that new SIM with the carrier. For complete protection against unauthorized SIM replacements, enterprises combine AppSMV with AppBind, which locks the user account to the specific historical hardware and SIM cryptographic identity.

Mobile app security protects a banking, mada payment or capital markets app on the customer's phone, where your servers have no view. It covers runtime protection (RASP) against rooted devices, hooking and screen-sharing fraud, code obfuscation and mobile app hardening against reverse engineering, device and SIM binding, and API protection. Protectt.ai's mobile app security solutions cover each layer: AppProtectt, CodeProtectt, AppBind and ApiProtectt.

Banks, insurers and fintechs follow the SAMA Cyber Security Framework (Sections 3.3.6 and 3.3.14) and the SAMA Counter-Fraud Framework, alongside the National Cybersecurity Authority's Essential Cybersecurity Controls (NCA ECC-2:2024). Together, they require device binding, root and jailbreak detection, anti-tampering and code obfuscation inside the app, benchmarked against OWASP MASVS.

AppProtectt detects screen sharing, screen mirroring, remote access apps and an active voice call while your app is open. Your policy decides the response: show a warning, block access or end the session. SAMA's Counter-Fraud controls also require banks to block unauthorized remote access and overlay trojans before a transfer is signed.

No. AppProtectt does not store personally identifiable information. Each threat record carries a reference ID that your own systems can map to a customer, so investigations stay inside your organization and comply with the Saudi Personal Data Protection Law (SDAIA PDPL).

No wrapping is involved. AppProtectt is an SDK-based RASP solution you add to your Android or iOS project with a single initialization line, then release through your normal build. Security rules and in-app messages change over the air afterwards, so a policy update does not need a new store release.

Commercial, small finance, payments and urban co-operative banks follow RBI's Digital Payment Security Controls Directions, 2026, issued on 31 July 2026. For UPI app security, NPCI's Mobile Application Security Framework of May 2025 applies, and brokers and exchanges follow SEBI's CSCRF. Between them, they ask for device binding, root detection, anti-tampering and code obfuscation inside the app, and RBI and SEBI both point to OWASP MASVS.

AppProtectt detects screen sharing, screen mirroring, remote access apps and an active voice call while your app is open. Your policy decides the response: show a warning, block access or end the session. RBI's 2026 Directions also ask banks to identify remote access apps and block login to the app when one is present.

AppProtectt ships as one SDK that starts with a single initialization line, so there is no app wrapping and your release process stays the same. Protectt.ai engineers support the integration, and a proof of concept on your own app usually takes two weeks to a month.

ProGuard and R8 provide basic Android code obfuscation by shrinking code and renaming symbols. They do not encrypt strings or resources, and decompilers such as jadx still show readable control flow. Banking and UPI apps need more, and NPCI's UPI framework separately marks code obfuscation and encryption of cryptographic keys as mandatory.

Agentic AI systems differ fundamentally from traditional software because they possess autonomy: they make multi-step decisions, call external APIs, query knowledge bases, and execute system commands. Traditional perimeter firewalls and static code analysis cannot detect prompt injection, goal hijacking, malicious tool outputs, or multi-turn RAG manipulation. Agentic AI Security provides purpose-built defense across the entire lifecycle, evaluating reasoning pathways, tool parameters, and runtime actions.

The Model Context Protocol (MCP) connects AI models to enterprise tools, files, and external APIs. Protectt.ai delivers end-to-end MCP security across three layers: pre-integration testing of tool schemas to detect rug pull risks; static scanning of MCP server definitions for hidden instructions; and an inline MCP Proxy that inspects live agent-to-tool traffic, enforces permission boundaries, and blocks data exfiltration.