Logo
Cybersecurity

Your SOC Can’t Handle a Cyber Crisis Alone

The technical team may find the incident first. What happens next quickly becomes everybody else’s problem too.

ITSEC AsiaITSEC Asia
|
Sep 15, 2026
Your SOC Can’t Handle a Cyber Crisis Alone

Imagine a ransomware incident at 10:30 on a Tuesday morning.

The SOC detects suspicious activity and starts investigating. Soon IT needs to isolate systems. Management wants to know whether operations should continue. Legal needs facts. Communications may need to prepare a response. Someone has to decide whether customers or authorities need to be informed.

By lunch, cybersecurity has become an organizational exercise.

That reality is reflected in current training from the International Telecommunication Union. An ITU Academy incident response course currently open for applications uses three scenarios: a ransomware attack, a data breach and an attack affecting a national education system. Participants work through the incident response lifecycle using collaborative tabletop exercises.

The lesson is useful far beyond education. Incident response capability depends on how well different people can make decisions together.

Technical Skill Is Only One Layer

A strong SOC can identify malicious activity, analyse evidence and recommend containment. It still needs an organization around it that knows what happens next.

Useful incident response capability therefore spreads across several functions:

  • SOC and security teams investigate, contain and preserve evidence.
  • IT and infrastructure teams understand affected systems and recovery dependencies.
  • Management makes operational and risk decisions with incomplete information.
  • Legal and compliance teams assess regulatory and contractual obligations.
  • Communications teams prepare accurate information for employees, customers or other stakeholders.

None of these groups needs identical cybersecurity expertise.

They do need enough shared understanding to work through the same incident.

ITU’s 2026 Regional CyberDrill for the Americas illustrates that model. The exercise brought together technical and management officials from CIRT, CERT and SOC environments alongside cybersecurity authorities, ministries, regulators and academia. Its objectives included improving technical capability, communication, incident management and coordination.

Tabletop Exercises Reveal Awkward Questions Early

A tabletop exercise is deceptively simple. Give a team a plausible incident and ask what they would do.

Then keep asking questions.

Who can authorize taking a critical system offline? Who contacts the regulator? Can the organization restore the affected service? Who briefs the CEO? What happens if the person who normally approves something is unreachable?

Suddenly the incident response plan starts developing holes.

That’s useful. A simulation can reveal unclear ownership, outdated contact lists, missing escalation paths and assumptions that looked perfectly reasonable inside a document.

ITU’s cyber disaster response training uses this approach explicitly, combining tabletop scenarios with hands on exercises and debriefs to develop communication and decision making during cyber attacks.

Finding those gaps during an exercise is considerably cheaper than discovering them while ransomware is spreading.

Train the Team Around the Technology

Technical cyber range exercises remain valuable, particularly for SOC analysts and incident responders. The next step is connecting those technical exercises with the people who have to act on their findings.

A realistic scenario might begin with analysts investigating suspicious activity, then require a handover to management, an operational decision from IT and a concise briefing for communications.

That type of practice fits naturally within ITSEC Cyber & AI Academy, where scenario based learning can help participants connect technical cybersecurity capability with the coordination and judgment required during real incidents.

The SOC may be the first room where the alarm goes off.

A prepared organization knows what every other room does next.

Explore practical cybersecurity and AI training at ITSEC Cyber & AI Academy.

References: ITU Academy: Incident Response for Secure School Connectivity · ITU: 16th Regional CyberDrill for the Americas, 2026 · ITU Academy: Cyber Disaster Response Simulation Exercises

Share this post

You may also like

The AI Talent Gap Is Still the Weakest Link in Indonesia's Digital Transformation
Cybersecurity

The AI Talent Gap Is Still the Weakest Link in Indonesia's Digital Transformation

Introduction How many people on your team truly understand how to build, secure, and govern AI-based systems today. For most organizations, the honest answer is far fewer than what's actually needed. The World Economic Forum's Future of Jobs Report 2025 found that nearly 39 percent of workers' core skills are expected to change significantly by 2030, with AI and big data sitting at the top of the list of skills most in demand and hardest to fill. ITSEC Asia, which works with organizations across Indonesia, Singapore, Australia, and the UAE, sees the same pattern play out almost everywhere. AI adoption is moving far faster than organizations' ability to build, secure, and responsibly govern the technology. Source: World Economic Forum, Future of Jobs Report 2025 Demand for AI Talent Is Growing Faster Than the Supply This isn't simply a headcount problem, it's a widening gap between how fast technology is being adopted and how fast organizations can produce people genuinely capable of handling it. * ISC2's workforce study puts the

ITSEC AsiaITSEC Asia
|
Agu 14, 2026 — 4 minutes read
One Compromised System Rarely Stays One Compromised System
Cybersecurity

One Compromised System Rarely Stays One Compromised System

A business application stops working. The server itself is fine. The network looks normal. Authentication is available. Then someone discovers that an external service used by the application is unavailable. Suddenly the incident diagram gets bigger. ENISA’s Threat Landscape 2026, published on 22 September and discussed in a dedicated webinar on 29 September, puts this problem near the centre of its analysis. ENISA says the growing interconnectedness of digital ecosystems is increasing exposure to cyber risk and continues to observe attacks targeting dependencies, including supply chain and third party relationships. ENISA [https://www.enisa.europa.eu/publications/enisa-threat-landscape-2026?utm_source=chatgpt.com] For workforce development, there’s a practical lesson here: cybersecurity professionals need to understand dependencies as well as assets. AN ASSET LIST DOESN’T SHOW THE WHOLE RISK Knowing what systems an organization owns is useful. Knowing what those systems rely on is different. A customer portal might depend on an identity provider, DNS, cloud infrastructure, payment service, API, software library and managed service. Several other applications may rely on exactly the same components. Compromise one shared dependency and the blast radius changes quickly. Security

ITSEC AsiaITSEC Asia
|
Sep 30, 2026 — 3 minutes read
What Makes AI-Powered Penetration Testing Different From Automated Scanners?
Cybersecurity

What Makes AI-Powered Penetration Testing Different From Automated Scanners?

INTRODUCTION How much of what a vulnerability scanner flags every week actually turns out to be real? Research from OWASP puts the false positive rate for common vulnerability types somewhere between 15% and 30%, and separate research from Snyk found that security teams now spend roughly 70% of their time chasing alerts that end up being nothing at all. That gap between what a tool reports and what is actually exploitable is not a minor inconvenience. It is the reason a third of companies surveyed admitted they responded late to a genuine attack because their team was buried in phantom threats instead. ITSEC Asia, Indonesia's leading cybersecurity company, works with organizations across the region that have learned this the hard way, and the question that keeps coming up is simple. If a scanner already checks the boxes, why does AI-powered penetration testing exist at all, and what does it actually do differently? Source: OWASP false positive research via DEV Community [https://dev.to/kuboidsecurelayer/why-automated-vulnerability-scanners-miss-most-real-security-vulnerabilities-2p96] · Snyk: Minimizing False Positives [https://snyk.io/blog/minimizing-false-positives-enhancing-security-efficiency/] THE FUNDAMENTAL DIFFERENCE: FOLLOWING RULES

ITSEC AsiaITSEC Asia
|
Jul 03, 2026 — 5 minutes read

Receive weekly
updates on new posts

Subscribe