Oracle urges customers to adopt quantum-resistant cryptography as Indian AI adoption accelerates
Oracle Corp. is advising its database customers to transition to quantum-resistant cryptography, citing the risk that encrypted data harvested today could be decrypted by future quantum computers. The company has rolled out a new tool to assess and strengthen cryptographic configurations, while in India, businesses are accelerating AI adoption despite infrastructure and cost challenges.
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KEY HIGHLIGHTS
- Oracle introduces a Cryptographic Posture Assessment tool in Oracle Data Safe to evaluate and strengthen cryptographic configurations across database fleets.
- The tool flags weak configurations like lingering TLS 1.0 and 1.1 support, addressing risks posed by future quantum computing capabilities.
- Agentic AI-driven remediation for cryptographic weaknesses is in preview, with Oracle securing data at the source within the database.
- Indian businesses have shifted from AI pilots to full-scale production in the past year, with visible benefits driving adoption.
- Cost, infrastructure, and skills remain challenges for AI adoption in India, though new data centres and training programs are being rolled out.
- Oracle reports double-digit growth in India for a decade, with banking and telecom as key sectors.
- Governance and regulation are emerging as critical factors for AI deployment, with industry maturation expected to shape future rules.
Oracle pushes quantum-resistant security for databases
Oracle Corp. is urging its database customers to adopt quantum-resistant cryptography now, warning that encrypted traffic copied today could be decrypted later using quantum computers. Vipin Samar, Oracle’s Senior Vice President of Software Engineering for Database Security, said attackers could exploit this gap by harvesting encrypted data and decrypting it once quantum computing matures, making current encryption standards like TLS 1.2 and 1.3 vulnerable.
To address this, Oracle has launched a Cryptographic Posture Assessment tool within Oracle Data Safe. The tool scans database fleets for weak cryptographic configurations, such as outdated TLS 1.0 and 1.1 support, and flags them for remediation. Samar noted that agentic AI-driven fixes for these vulnerabilities are currently in preview.
Oracle’s approach extends to its AI Database 26ai, which uses Deep Data Security to enforce row- and column-level access controls. The system relies on signed OAuth2 tokens to verify the identity of users behind AI agent queries, ensuring security at the data source rather than through external measures.
Indian enterprises scale AI adoption despite challenges
Indian businesses have rapidly scaled their AI deployments over the past year, moving from pilot projects to full-scale production. Shailender Kumar, Oracle’s Senior Vice President and regional Managing Director for India and NetSuite JAPAC, told Mint (Technology) that enterprises are now seeing tangible benefits from AI, which has accelerated adoption.
Despite this progress, cost, infrastructure, and skills gaps remain hurdles. Kumar acknowledged that while new data centres are being built to address infrastructure challenges, Oracle is also partnering with universities and state governments to train students in AI-related skills. Governance and regulation are emerging as critical factors, with Kumar emphasizing the need for oversight to ensure AI outputs align with intended use.
Oracle’s growth in India has been robust, with double-digit expansion for the past decade. The company operates in over 15 cities, with banking as its largest sector and all four of India’s telecom operators as customers. Kumar’s priority for the next three to five years is to sustain or exceed this growth rate.
Related on Lazyfounder
Sources
- SiliconANGLE · 2026-11-04
Oracle urges database customers to prepare for quantum security risks - Mint (Technology) · 2026-11-07
India on right track in AI; firms moving from pilots to production: Oracles Kumar
This story is an original summary drafted with AI by Lazyfounder from the reporting listed above and checked by automated validation. Facts are attributed to their original publishers; sections marked as analysis are Lazyfounder's. Where a source is in another language, facts were machine-translated and quotations are reported, not reproduced. Read the original coverage via the links, and see our AI policy and corrections policy.
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Editor, Lazyfounder
Tarun Mottlia edits LazyFounders, covering Indian startups, funding rounds, AI and product launches. Every story on the site is AI-assisted and checked against its cited sources before publication.
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