Enterprises are increasingly deploying autonomous, multi-agent AI systems that can run complex tasks on their own. This creates significant new risks. These AI systems expand the attack surface, introduce new threat vectors, and can quickly spread errors, vulnerabilities, or systemic bias if not properly governed.
AI security goes beyond traditional cybersecurity. Instead of only protecting networks, endpoints, and applications, it must also:
Without this level of oversight, AI systems can introduce errors, amplify bias, or open new security gaps.
(1) Source: IDC FutureScape 2026
In episode 5 of the Fujitsu impact series, Fujitsu experts outline how enterprises can strengthen trust, reduce regulatory exposure, and create sustainable value through robust AI security and AI governance.
Join Ker Yang Tong (CTO ASEAN, Fujitsu), Kurt Dusterhoff (Senior Manager Technology Strategy Unit, Fujitsu) and guest speaker Linus Lai (Group Vice President, Services, IDC Asia/Pacific) as they explain:
Watch the episode to learn how to confidently scale AI, manage emerging risks. and safeguard customer trust.
Access the recording below for the full episode to learn how to confidently scale AI, manage emerging risks and safeguard customer trust.
Designed for CISOs, CIOs, and senior transformation leaders, this guidance explains how to put a practical, end-to-end AI security approach into action. It outlines how to combine technology, strong governance, and continuous oversight to manage risks from autonomous AI systems and ensure safe, compliant operations.
“Securing AI is no longer just a technical choice; it’s a business survival necessity that requires a fundamental shift toward securing entire AI workflows rather than just perimeters.”
Ker Yang Tong, CTO for Fujitsu ASEAN Region
Digest the AI Security White Paper “The C-Suite’s Urgent Mandate: Why AI Security Is the New Business Survival Imperative” for a detailed deep dive, or the AI Security infographic for a fast, visual summary of the key insights.
New threat vectors are emerging: Autonomous and multi-agent systems require moving beyond classic cybersecurity to focus on how models behave and make decisions.
Poor AI governance drives costly exposure: Insufficient AI controls can trigger regulatory fines, service disruptions, and compliance breakdowns.
AI security relies on continuous oversight: Enterprises need constant testing, bias and drift monitoring, and tightly managed access to keep AI agents safe and compliant.
CTO (ASEAN), Fujitsu
Senior Manager, Technology Strategy Unit, Fujitsu
Group Vice President, Services, IDC Asia/Pacific
MODERATOR
Global Thought Leadership Evangelist
This white paper gives leaders a clear, structured overview of the emerging risk landscape and the controls needed to stay compliant and resilient.
It is targeted at CISOs, CIOs, and transformation leaders seeking practical steps for operational AI security.
This infographic provides a clear, executive level snapshot of the key threat vectors, governance gaps, and security guardrails needed to protect modern AI environments.
It highlights why traditional cybersecurity is no longer enough and shows:
Built for executives who want a fast, visual summary of the core risks and controls to build a safer, compliant, and scalable AI strategy.
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Enterprises deploying autonomous and multiagent AI systems face new threat vectors such as model manipulation, prompt injection, bias propagation, and unintended autonomous decisions - risks that cannot be controlled with perimeter based security alone.
IDC forecasts that by 2030, 20% of Global 1000 companies will suffer lawsuits, fines, or leadership fallout due to failures in governing autonomous AI systems. As AI becomes embedded in critical processes, weak oversight can lead to regulatory exposure, operational disruption, and reputational damage.
A comprehensive AI security strategy must include:
Strong AI security governance must include:
AI security in manufacturing environments addresses OT vulnerabilities, interconnected supply chains, and AI-driven operational decision-making, ensuring safety and compliance.
AI systems introduce new attack surfaces into previously isolated OT environments. A compromised agent could disrupt production lines or trigger unsafe equipment behavior.
Autonomous agents may unintentionally miscalculate orders, ignore pricing strategies or collude with other agents which can cascade across logistics, procurement, and planning systems.
Sensor data, telemetry, and forecasting models must be protected from poisoning or exfiltration to avoid harmful real-world decisions.
Manufacturing and supply chain operations must maintain auditable and explainable AI governance to meet increasingly strict regulatory standards.
With Fujitsu AI, you can confidently deploy and leverage AI across your business, ensuring better decisions and stronger operations without compromising data sovereignty, security, or control.
Designed for enterprise use, our AI leverages industry expertise and partner technologies to deliver full explainability, robust governance, and strong security. This enables safe and reliable AI deployment in critical,regulated environments. Trust our practical, secure, and transparent AI toaccelerate innovation with confidence in every decision.
