PRESS RELEASE

AI Hype Meets Reality

Boards and leadership teams have been urging their organisations to “do something with AI”.

    • Ameya Talwalkar Founder and CEO of Cequence.ai
.
    • Ameya Talwalkar Founder and CEO of Cequence.ai .
    Published Fri, Nov 28, 2025 · 08:00 AM

    SINGAPORE, Nov 28, 2025 - Companies in Australia and Singapore are racing to deploy artificial intelligence to boost productivity and competitiveness, but many are discovering that turning an AI prototype into a secure, production-ready solution is proving far harder, and takes much longer, than expected.

    Across industries, boards and leadership teams have been urging their organisations to “do something with AI” often driven as much by fear of missing out (FOMO) as by strategy.

    The result is a rush of internal “safe” projects in customer success, sales efficiency, engineering productivity and cybersecurity that show early promise but stall at scale.

    Enterprises are realising that building an AI prototype can be relatively straightforward however, more and more are discovering that deploying it into production, whether for internal use or customer-facing applications, to truly capture value is an entirely different challenge.

    Ameya Talwalkar, CEO and Co-Founder of Cequence Security said, “Our message to enterprises is rather than approaching these projects ‘manually’ they should be leveraging a cutting-edge solution like Cequence. By using Cequence not only will they get out of the prototype rut but going forward they will never find themselves there in the first place.

    “Cequence provides a solution that is fast and easy, enabling organizations to rapidly test out new ideas for agentic AI use, but without the risk of creating security issues or mountains of technical debt.

    Cequence Security has been working with Fortune 500 clients across the U.S., Asia, and Australia to help them close the gap between being stalled and effective productivity.

    Common implementation hurdles include:

    • AI agents requiring access to internal apps and APIs, creating new security and compliance risks.

    • A shortage of AI-skilled developers and upskilling requirements.

    • The need for rigorous user and agent access controls to prevent misuse.

    • Production-grade requirements for authentication, authorisation, monitoring and logging.

    Without addressing these foundational requirements, projects that start with promise end up taking significantly longer than expected, widening the gap between leadership expectations and what’s actually delivered.

    Mr. Talwalkar said, “In production you want proper authentication authorization, monitoring, logging, and security to prevent malicious/misbehaving agents from causing critical issues.

    “We have found many organizations start with internal projects in an attempt to better manage risk but while agentic AI can truly bring relief to key pain points critical enterprise implementation issues must be handled before the tech can deliver on its promise.”

    Ameya Talwalkar held a special roundtable with a number of interested enterprises in Australia and Singapore highlighting how the pursuit of AI-fueled productivity and growth can be done quickly, safely, and securely with the right approach.

    Key takeaways from roundtables with government, banking and finance, retail sectors:

    • AI as transformational as the internet itself - positioned as a major insight that emphasizes the scale of disruption organizations are facing

    • AI as a board-level conversation - highlighting how AI discussions have moved to executive and board levels with focus on defining use cases and outcomes to guide investment decisions

    • Organizations making commitments - distinguishing between those still planning versus those with firm commitments and growing lists of use cases

    • Security built as an afterthought - connecting this to the historical pattern of new technologies being developed without security considerations, making it relatable for security practitioners who’ve dealt with this challenge before

    • Security roadblocks - emphasizing how even well-planned initiatives with C-level backing are hitting unexpected security, compliance, and governance walls.

    About Cequence Security

    Cequence is a pioneer in API security and bot management, making the applications and APIs that organizations depend on AI-ready while protecting them from attacks, business logic abuse, and fraud. Our unique solutions unlock the promise of agentic AI productivity while providing real-time security against increasingly subtle and sophisticated threats. Trusted by the largest and most demanding private and public sector organizations, Cequence protects more than 10 billion daily API interactions and 4 billion user accounts. To learn more, visit [https://www.cequence.ai/]


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