Unlike traditional CAPTCHA-based approaches, SiARA Shield uses behavioural analysis together with CyberSiARA's proprietary Trans-Saccadic Memory (TSM) technology to assess digital interactions and introduce additional human verification only when greater assurance is required.
The solution is designed to protect high-value digital journeys such as login, registration, account creation, onboarding, account recovery, forms and transaction-related interactions while minimising unnecessary friction for genuine users.
SiARA Shield is cookie-free and privacy-first and can be integrated into existing web and mobile environments through APIs and SDKs. It can operate as a dedicated bot protection layer or complement existing cybersecurity, identity, fraud prevention and bot management technologies.
What are the key features of SiARA Shield?
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Advanced Bot Protection: Helps identify sophisticated automated traffic and AI-driven activity that may attempt to behave like legitimate users.
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Human Verification: Provides additional assurance that an interaction is being performed by a genuine human when risk is elevated.
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Behavioural Analysis: Evaluates interaction behaviour before deciding whether additional verification is required.
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Trans-Saccadic Memory Technology: Uses CyberSiARA's proprietary TSM approach as an additional human-verification mechanism.
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CAPTCHA-Free Experience: Designed to avoid traditional CAPTCHA puzzles and reduce unnecessary friction for genuine users.
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Cookie-Free, Privacy-First Design: Human verification and bot protection without relying on tracking cookies.
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Web and Mobile Integration: API-first architecture and SDK support enable integration into websites, applications and digital customer journeys.
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Adaptive Verification: Additional verification can be applied selectively to higher-risk or borderline interactions rather than challenging every user.
What problems does SiARA Shield help address?
SiARA Shield can help organisations protect against automated abuse across digital applications, including:
- sophisticated bots and AI-driven automated activity
- fake account creation
- credential stuffing and automated login abuse
- automated onboarding attacks
- form and portal abuse
- high-risk automated interactions
- fraudulent or automated activity within sensitive digital journeys
What are the benefits of SiARA Shield?
Reduced user friction: Genuine users are not routinely forced through traditional CAPTCHA puzzles.
Stronger human assurance: Organisations gain an additional way to determine whether sensitive digital interactions are genuinely human.
Layered security: SiARA Shield can complement existing WAF, IAM, fraud prevention, bot management and other security technologies rather than requiring organisations to replace their existing security stack.
Privacy-first protection: The solution is designed to operate without relying on cookies for human verification.
Flexible enterprise integration: SiARA Shield can be introduced at selected high-risk points within an existing digital journey rather than requiring major changes to the underlying application.
Which industries can use SiARA Shield?
SiARA Shield is designed for organisations where distinguishing genuine users from automated activity is important, including:
Banking and financial services: Protect login, onboarding, account access and other high-value digital interactions.
E-commerce: Reduce automated account abuse, fake registrations and malicious bot activity.
Fintech and payments: Add human assurance to sensitive digital journeys and transaction-related interactions.
Identity and access management: Add human verification to authentication, account recovery and privileged workflows.
Healthcare: Protect patient and customer-facing digital portals from automated abuse.
SaaS and enterprise applications: Protect forms, registrations, portals and customer-facing workflows.
How is SiARA Shield different from traditional bot protection?
Traditional bot protection often focuses on identifying known automation patterns or challenging suspicious visitors.
SiARA Shield takes a different approach by combining behavioural analysis with human verification based on Trans-Saccadic Memory.
The objective is not simply to ask:
"Is this traffic automated?"
It is to provide greater confidence in a more fundamental question:
"Is there genuinely a human behind this interaction?"