FutureCISO

GitLab's AI Accountability Report highlights a widening control gap around AI-generated code as Harris Poll suggests that AI coding adoption has moved beyond experimentation and into core development workflows—while the governance structures needed to manage associated risks have not kept pace. Source: GitLab 2026 According to the report, 80% of respondents say their organisations adopted AI coding tools faster than they developed policies to govern them.

Trust no one. That’s the maxim that organisations should keep close to heart as they apply artificial intelligence (AI), including agentic, across their workflows. At least, that is what industry proponents are advising, particularly as advancements in frontier AI threaten to significantly speed up the rate at which security vulnerabilities are exposed.

In 2026, Indonesia stands at a pivotal moment. The country's chief information security officers (CISOs) are no longer just technology managers; they are frontline commanders in a battle where the adversary never sleeps, the tools are increasingly powered by artificial intelligence, and the stakes include national sovereignty. The question, as Patrick Dannacher, CEO of ITSEC Asia, frames it, is no longer if you will be breached, but how quickly you can recover.

Cybercrime is now a dominant threat across Asia and the South Pacific, accounting for more than 30 per cent of all recorded crime in over half of surveyed countries, according to INTERPOL’s latest regional assessment. The 2025/2026 Asia and South Pacific Cyberthreat Assessment Report points to a sharp escalation in both the scale and sophistication of attacks, driven by rapid digital adoption and increasingly organised criminal networks.

Cohesity Maestro is an architecture that makes its data security platform natively accessible through the Model Context Protocol (MCP). This decouples the company’s data protection capabilities from its own interface, allowing customers to command them via the AI platforms they have already adopted . Cohesity Maestro allows IT and security operations teams to query business-critical risks and recovery gaps, trigger restores, and orchestrate recovery directly from their chosen AI tools .

SailPoint has launched Agentic Acceleration, an AI-driven methodology that compresses cloud migration timelines from months to days – directly addressing the security, cost, and operational risk concerns that have kept many organisations anchored to on-premises identity platforms. The core challenge for security leaders has been the sheer complexity of modernising IdentityIQ or other legacy systems.

By 2026, public safety systems across Asia will evolve from isolated command centres into AI-driven ecosystems, creating unprecedented operational gains while also widening the cyber-physical attack surface. For CISOs overseeing critical infrastructure, this hyper-connectivity dismantles traditional perimeters, blurring lines between IT, OT, and sovereign data governance. The challenge is no longer merely preventing data breaches but guaranteeing operational continuity against autonomous threats.

A silent security failure is unfolding inside Hong Kong’s most sophisticated enterprises. As financial institutions, healthcare providers and tech firms race to deploy autonomous AI agents, new global research reveals that only 7% of organisations are truly AI-ready—leaving the remaining 93% exposed to undetectable data breaches, rogue AI behaviour and an inability to recover from machine-speed mistakes.

APAC banking leaders are sounding the alarm on the next phase of AI-enabled financial crime, reveals a new BioCatch survey which also suggests that “AI agents” may be the industry’s greatest exploitable vulnerability over the coming year. Source: Biocatch 2026 In Singapore, Indonesia, Thailand, India and Australia, concern is running higher than the global average.

Fortinet has expanded its cybersecurity footprint in Asia Pacific with the launch of a new FortiNDR Cloud Point-of-Presence (PoP) in Singapore, targeting growing enterprise demand for enhanced threat detection and response across increasingly complex digital environments.