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		<title>EMudhra stresses need for trust infrastructure in national digital systems</title>
		<link>https://www.businessupturn.com/business/emudhra-stresses-need-for-trust-infrastructure-in-national-digital-systems/</link>
		
		<dc:creator><![CDATA[Yash Agarwal]]></dc:creator>
		<pubDate>Wed, 25 Mar 2026 14:35:53 +0000</pubDate>
				<category><![CDATA[Business]]></category>
		<category><![CDATA[Cryptographic Trust Infrastructure]]></category>
		<category><![CDATA[Digital Public Infrastructure]]></category>
		<category><![CDATA[eMudhra]]></category>
		<category><![CDATA[Kaushik Srinivasan]]></category>
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					<description><![CDATA[eMudhra highlights the need for robust trust infrastructure to secure national digital ecosystems as governments expand digital identity and services platforms.]]></description>
										<content:encoded><![CDATA[&lt;p&gt;eMudhra has highlighted the urgent need for a robust cryptographic trust infrastructure to secure identity, transactions, and governance within national-scale digital ecosystems. As governments worldwide expand platforms for digital identity, payments, and public services, the importance of a strong trust infrastructure becomes increasingly critical.&lt;/p&gt;
&lt;p&gt;Digital public infrastructure (DPI) initiatives, such as national identity systems, digital document platforms, and citizen service ecosystems, are becoming essential components of modern digital economies. However, the rapid expansion of these platforms introduces complex security and governance challenges, particularly concerning identity assurance, transaction integrity, and large-scale authentication.&lt;/p&gt;
&lt;p&gt;According to &lt;a href=&quot;https://www.businessupturn.com/news/topic/emudhra/&quot; rel=&quot;tag&quot;&gt;eMudhra&lt;/a&gt;, securing trust at a population scale requires a foundational layer that enables verifiable identity, secure access, and tamper-resistant digital interactions across both public and private services. &lt;a href=&quot;https://www.businessupturn.com/news/topic/kaushik-srinivasan/&quot; rel=&quot;tag&quot;&gt;Kaushik Srinivasan&lt;/a&gt;, EVP of eMudhra, stated, “Digital public infrastructure is becoming national critical infrastructure. Trust must scale with it. Without strong identity assurance and cryptographic controls, systemic risk increases as digital services expand.”&lt;/p&gt;
&lt;p&gt;The company emphasised that trust infrastructure based on cryptographic identity, certificate-based authentication, and secure credential lifecycle management can help governments and organisations protect digital services from fraud, impersonation, and unauthorised access. According to eMudhra, trust infrastructure enables verifiable identity for citizens, devices, and service providers, secure authentication and transaction validation, protection of digital documents and electronic signatures, governance and auditability across digital ecosystems, and resilience of national-scale digital services.&lt;/p&gt;
&lt;p&gt;eMudhra noted that DPI deployments are expanding across emerging and developed markets, supporting financial inclusion, digital governance, and cross-border digital services. As adoption grows, ensuring security, privacy, and operational integrity will be essential to maintaining public confidence.&lt;/p&gt;
&lt;p&gt;The company stated that the future digital economy will increasingly rely on trusted digital interactions across identity, payments, and autonomous services, making trust infrastructure a strategic priority for governments, enterprises, and regulators worldwide. As digital systems continue to scale, securing trust at the infrastructure level will be critical to ensuring resilience, economic stability, and sustainable digital transformation.&lt;/p&gt;
&lt;p&gt;Disclaimer: This article is based on a regulatory filing submitted to the National Stock Exchange of India (NSE).&lt;/p&gt;
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		<title>eMudhra highlights emerging behavioural trust risks in autonomous AI systems</title>
		<link>https://www.businessupturn.com/business/emudhra-highlights-emerging-behavioural-trust-risks-in-autonomous-ai-systems/</link>
		
		<dc:creator><![CDATA[Business Desk]]></dc:creator>
		<pubDate>Wed, 11 Mar 2026 12:28:25 +0000</pubDate>
				<category><![CDATA[Business]]></category>
		<category><![CDATA[Bengaluru]]></category>
		<category><![CDATA[eMudhra]]></category>
		<category><![CDATA[Kaushik Srinivasan]]></category>
		<guid isPermaLink="false">https://www.businessupturn.com/?p=697784</guid>

					<description><![CDATA[eMudhra raises concerns about cybersecurity and governance challenges posed by autonomous AI systems, emphasising the need for behavioural trust frameworks. The company highlights potential risks and the necessity for new trust models in various sectors.]]></description>
										<content:encoded><![CDATA[&lt;p&gt;eMudhra has raised concerns about the emerging cybersecurity and governance challenges posed by autonomous AI systems operating in real-world environments.&lt;/p&gt;
&lt;p&gt;The company emphasised the need for behavioural trust frameworks to ensure accountability, security, and verifiable decisions as AI agents begin to act independently. Traditional security models focused on authentication may not suffice as AI-powered robots, autonomous devices, and intelligent systems increasingly perform tasks across sectors such as manufacturing, healthcare, logistics, and public infrastructure. eMudhra described a potential “behavioural trust gap,” where systems, although verified as legitimate, could act unpredictably or deviate from intended operational parameters, creating new attack surfaces and operational safety risks.&lt;/p&gt;
&lt;p&gt;Kaushik Srinivasan, EVP of eMudhra, stated that while digital trust has historically focused on verifying identity, the next challenge lies in verifying the behaviour of autonomous machines making decisions in the physical world. The company noted that emerging trust models might need to combine cryptographic identity, behavioural monitoring, policy enforcement, and continuous verification of autonomous actions to ensure operational integrity and safety.&lt;/p&gt;
&lt;p&gt;The issue extends beyond enterprise environments to digital public infrastructure, smart cities, industrial automation, and AI-driven services. As adoption accelerates, establishing governance frameworks for autonomous behaviour may become a priority for regulators and industry leaders. Addressing trust in physical AI will be critical to ensuring resilience, safety, and public confidence in the emerging autonomous economy.&lt;/p&gt;
&lt;p&gt;Disclaimer: This article is based on a regulatory filing submitted to the National Stock Exchange of India (NSE).&lt;/p&gt;
&lt;p class=&quot;bu-nse-disclosure&quot; style=&quot;font-size:13px;color:#666;border-top:1px solid #eee;margin-top:20px;padding-top:10px;font-style:italic&quot;&gt;This article is written by &lt;strong&gt;Business Desk&lt;/strong&gt; and reviewed by &lt;strong&gt;News Desk&lt;/strong&gt; before publication.&lt;/p&gt;
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