AI-powered contextual visibility as key to whole-of-government cyber resilience

Most government agencies don't have a shortage of cybersecurity tools — they have a coordination problem.

From one vendor’s firewall from one vendor, another vendor’s endpoint detection, to identity management from the third vendor, each runs its own alert queue, its own log format, and its own definition of what counts as suspicious.

Security teams then spend more time reconciling data between systems than responding to threats. 

“Generic visibility tells you what assets and alerts you have,” says James Ngui, Solutions Engineering Lead for Southeast Asia at TrendAI.

“Contextual visibility tells you why each one matters, what it is connected to, what an attacker could do with it, and how likely that path is to be exploited.”

That distinction, Ngui notes, is the missing link for whole-of-government (WOG) cyber resilience, and is at the heart of how TrendAI is helping govtech leaders move from reactive firefighting to proactive security.

TrendAITM, the AI-security business of Trend Micro, provides proactive, AI-powered threat detection and security solutions built for the AI age.

Breaking the silo problem

The typical government technology environment is a patchwork of solutions accumulated over years of procurement cycles.

Stitching them together is a manual, time-consuming exercise, and the seams are exactly where attackers look to hide.

Acknowledging vendor lock-in as a concern in the government, Ngui highlights that TrendAI Vision OneTM is designed to operate within existing ecosystems rather than to displace them.

The platform unifies threat defence, risk management, and security operations into a single view, acting as a correlation and decision layer above an agency's existing infrastructure.

On the inbound side, its Agentic Security Information and Event Management (SIEM) feature ingests logs from more than 900 third-party data sources, spanning firewalls, endpoint detection, identity providers, cloud environments, and operational technology sensors.

On the outbound side, enriched telemetry is forwarded to tools like Splunk, IBM QRadar, and Google Chronicle, so analysts can continue working in familiar environments.

The value of a single agent architecture

For lean govtech teams, managing multiple security agents is a hidden operational burden.

Each additional agent means another patch cycle, another compatibility matrix, and another helpdesk queue whenever performance slows down, which Ngui calls “a silent operational tax.”

He proposes a single agent architecture to tackle this.

TrendAI Vision OneTM's Endpoint Security  consolidates anti-malware, behaviour monitoring, machine learning, host intrusion prevention, virtual patching, application and device control, firewall, and EDR into a single installer.

This allows for “one update channel, one policy framework, one footprint,” Ngui notes.

This matters particularly for government, where legacy systems tend to be the norm.

According to him, TrendAI Vision OneTM's Endpoint Security can run without a kernel driver on locked-down or older Linux builds — a critical consideration for the ageing RHEL and SUSE environments common in government infrastructure.

Additionally, Windows protection extends through Microsoft's Extended Security Update programme plus one year; Linux coverage runs one year past vendor's end-of-life.

“When an OS vendor stops issuing patches, TrendAI Vision OneTM's Endpoint Security  continues to receive virtual-patching rules that shield newly disclosed vulnerabilities at the host layer," he notes.

That extended window is directly relevant to the long-lifecycle systems that governments routinely depend on.

From fragmented signals to a single threat narrative

The deeper advantage of a unified agent architecture, Ngui explains, is what it enables for AI-driven detection.

A single agent emits native telemetry across endpoints, servers, workloads, and identities, with all feeding into one data lake with one correlation engine, he explains.

This allows AI to read attacker behaviour as a continuous narrative rather than disconnected events.

In practice, a compromised identity, lateral movement, and an exfiltration attempt are stitched into a single Workbench alert that gives the agency the full scope of the impact, rather than surfacing them as disconnected events.

The platform also maps attack activity to MITRE ATT&CK, which is a globally accessible, free knowledge base of adversary tactics and techniques, across the entire chain.

Additionally, the XDR (Extended Detection and Response) Data Explorer lets analysts hunt over the unified data lake in a single query, instead of pivoting between consoles, he explains.

The result is the ability to quickly identify multi-stage attacks that siloed tools struggle to see as a single picture, he notes.

Giving CIOs a language for budget conversations

Government CIOs can also use TrendAI Vision OneTM ‘s Cyber Risk Index (CRI) to quantify and justify the cybersecurity investments needed.

CRI provides an objective, rolling risk score that can be sliced per department or statutory board, known as sub-indexes.

Ngui explains that the index contains features that break down which factors drive each sub-index, whether they are vulnerabilities, security configuration, identity exposure, or active attacks.,

It also shows a 30-day rolling graph that shows whether the spending is actually reducing risk.

He outlines three budget conversations that the CRI enables:

1. A diagnostic case, which points to unpatched internet-facing vulnerabilities as the dominant driver of risk for one agency,
2. A comparative case, which identifies configuration gaps across agencies with different asset profiles, and
3. An outcome-based case, which demonstrates measurable risk reduction after targeted investment.

“It turns cybersecurity from a gutfeel ask into a quantitative case," he says.