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By 2027, risk management will shift from periodic reviews to continuous risk intelligence. As AI accelerates decisions, automation enforces controls, and regulation becomes faster and more outcome-driven, organisations can no longer rely on manual or reactive approaches. This article examines how AI enables early risk detection, automation delivers consistent governance at scale, and regulation demands real-time accountability and explainability. It highlights the growing importance of decision risk and third-party ecosystems as board-level priorities. The future of risk management lies in embedding governance early, allowing innovation to move faster, safer, and with confidence.

As organisations step into a new financial year, many assume it marks a clean slate for risk. This blog challenges that belief by exploring the hidden, inherited risks companies quietly carry forward from access creep and vendor exposure to ineffective controls, fragmented risk data, and regulatory drift. It explains why the absence of incidents often creates a false sense of confidence and how these overlooked risks tend to surface later as audits, disruptions, or compliance challenges. The blog concludes by highlighting how mature organisations shift from periodic assessments to continuous risk visibility, enabling faster decisions and stronger resilience from the very start of the financial year.

As organisations harden their internal defences, attackers are increasingly exploiting trusted vendors to gain access through the supply chain. This post examines the rise of upstream attacks, explaining how third-party trust expands beyond visibility, why traditional vendor assessments fail in 2026, and how compromised suppliers enable breaches that scale faster, evade detection, and increase regulatory exposure. It also outlines how mature organizations are shifting to continuous vendor risk management to prevent trust from becoming their biggest weakness.

Quantum computing is no longer a distant theory; it’s a fast-approaching reality with serious implications for cybersecurity. While large-scale quantum attacks may not happen tomorrow, adversaries are already preparing today through a strategy known as “Harvest Now, Decrypt Later.” 2026 is emerging as the critical preparation year, the Q-Day prep window when organisations must transition from awareness to action to protect long-lived data, maintain regulatory trust, and future-proof cryptography.

In 2026, fintech success will depend not just on innovation, but on resilience. As digital payments, cloud-native platforms, APIs, and AI-driven services scale faster than ever, infrastructure risk has become a silent business killer. From cloud outages and third-party dependencies to regulatory penalties and reputational damage, fintech companies that fail to strengthen their infrastructure risk posture may find growth turning into liability. This blog explores why infrastructure risk is now a board-level concern and what fintech leaders must do before the next failure hits.

India’s banking sector is rapidly expanding its digital ecosystem by partnering with FinTechs, cloud providers, IT vendors, and outsourced service partners. While this accelerates innovation, it also significantly increases third-party risk. Traditional, manual approaches to third-party risk management are no longer sufficient to meet today’s regulatory expectations and threat landscape.This blog explores how AI is rewriting third-party risk management for India’s banks, enabling continuous monitoring, predictive insights, faster compliance, and stronger operational resilience.