From Intelligence to Action: What GISEC Global 2026 Reinforced About the Future of Cyber Defense

Going into GISEC Global 2026, one question was already on top of mind for me: as threats, intelligence, and security operations increasingly move at machine speed, how do we reduce the distance between knowing something and acting on it?

After three days of conversations with government leaders, cybersecurity practitioners, customers, partners, and security teams from across the META region, that question feels even more important. Organizations are not struggling because they lack threat data; in many cases, they have more intelligence than their teams can realistically process, contextualize, and act upon.

The harder challenge is determining what matters to the organization, understanding why it matters, and enabling the right people to make a decision quickly enough for it to have an operational impact.

That was one of my biggest takeaways from GISEC this year, particularly as AI became a central theme across conversations throughout the event. The future of cyber defense will depend not simply on how much intelligence we collect or how much AI we introduce, but on how effectively we combine intelligence, organizational context, human judgment, AI, automation, and collaboration to drive action.

Moving beyond more intelligence

Before GISEC, I wrote about the need to rethink cyber defense around the journey from intelligence to action, and the conversations in Dubai reinforced just how widespread this challenge has become.

Threat intelligence now arrives from commercial feeds, government sources, open-source research, industry communities, internal telemetry, and trusted partners. Greater access improves visibility, but it also leaves security teams with the difficult task of identifying which signals actually deserve attention.

Knowing that a vulnerability is being exploited or an adversary is targeting a particular industry is valuable, but teams still need to determine whether the threat affects their organization, what is exposed, who needs to know, and what action should follow. Until those questions can be answered, intelligence remains information rather than defense.

This distinction came through strongly at GISEC, where many conversations focused on shortening the journey from intelligence to decision to action rather than simply processing more information.

AI was everywhere, but context is what makes it useful

It was difficult to have a cybersecurity conversation at GISEC this year without AI becoming part of it, reflecting how quickly the technology is moving from experimentation into the operational thinking of security organizations.

There is a good reason for that interest. Security teams face growing volumes of threat data, complex environments, expanding attack surfaces, and adversaries that are themselves exploring AI, making the ability to accelerate research, correlate information, and automate repetitive work increasingly attractive.

However, one idea became clearer through these conversations: speed alone cannot be the objective because relevance has to come first. If an organization already has more threat information than its teams can consume, using AI simply to process that information faster does not solve the underlying problem.

AI becomes far more useful when it can help answer a more important question: of everything happening in the threat landscape, what matters to us and what should we do about it?

PIRs can provide the context AI needs

This is where Priority Intelligence Requirements, or PIRs, become particularly important because they shift the starting point from “What intelligence can we collect?” to “What does our organization need to know?”

The same threat can have very different implications for a financial institution, government agency, critical infrastructure operator, or technology company depending on its assets, geography, technologies, adversaries, and risk priorities. PIRs provide a framework for connecting intelligence to those organizational realities.

The strong appreciation for PIRs in our GISEC conversations was encouraging because it reflected a broader desire to make intelligence more purposeful. Rather than treating every incoming signal equally, organizations want to understand how intelligence maps to the questions and risks that matter most to them.

This is also where PIRs and AI naturally come together. PIRs can provide the intent and context, while AI can help evaluate incoming intelligence against those priorities, enrich relevant information, correlate it with additional context, and bring the most important findings forward for investigation or action.

From AI-powered analysis to intelligence-led action

This relationship between context, AI, and action also shaped many of our conversations around Cyware AI Agents.

There was significant interest in how agentic AI could help security teams move beyond faster analysis and address a broader operational challenge: turning intelligence into something that can inform and accelerate the next step in the security workflow.

Once relevant intelligence has been identified, teams still need to investigate its potential impact, connect it with what is happening across their environment, determine who needs to act, and coordinate the appropriate response. These handoffs can introduce delays, particularly when analysts are moving between multiple tools, gathering additional context, or manually translating intelligence into tasks for other security teams.

Agentic AI and automation can help reduce this friction by carrying context forward across the intelligence lifecycle, supporting investigations, initiating defined workflows, and helping the right information reach the right teams at the right time. The opportunity is not simply to make analysts work faster, but to create a more connected path from intelligence to operational response while keeping human expertise and governance at the center of consequential decisions.

This is where intelligence-led action starts to become tangible: relevant intelligence does not end with an analyst or a report, but becomes an input into how the organization investigates, prioritizes, coordinates, and responds.

Collective defense needs intelligence that can travel and translate

Another theme that surfaced repeatedly at GISEC was the importance of collaboration between national entities, CERTs, regulators, critical sectors, enterprises, and technology providers.

Cyber threats do not respect organizational boundaries, which means an observation made by one organization may provide the early warning another needs. Yet sharing more intelligence alone does not create collective defense because every recipient still has to understand what that intelligence means within its own environment.

The combination of shared intelligence, PIRs, AI, and automation can help close that gap. Intelligence shared by a CERT, government entity, or industry peer could be evaluated against each organization's own requirements, allowing the same information to lead to different actions based on individual exposure, risk, and operational context.

That is when shared intelligence becomes more than information exchange and starts contributing to collective defense.

Conversations across the META region

One of the most valuable aspects of GISEC was the opportunity to exchange perspectives with strategic partners, customers, prospects, government representatives, and cybersecurity practitioners from across the META region.

These conversations provided valuable insight into how government and enterprise organizations are approaching intelligence, resilience, AI, automation, and collaboration, while reinforcing the need to connect these capabilities rather than treating them as separate security initiatives.

I also had the opportunity to interact with prominent cybersecurity leaders, including H.E. Dr. Mohamed Al Kuwaiti, Head of Cybersecurity for the UAE Government, and exchange perspectives on the evolving cybersecurity landscape. Conversations like these reinforce why stronger coordination across governments, critical sectors, enterprises, and technology providers will remain fundamental to effective cyber defense.

The next chapter of intelligence is about relevance and action

I came away from GISEC Global 2026 with a stronger conviction around the idea we took into the event: the next meaningful evolution of threat intelligence will not come from simply collecting more information, but from making intelligence more relevant and shortening the path from understanding to action.

AI and agentic systems have an important role to play in that evolution, but their value will depend on the context and intent that guide them. PIRs can establish what matters to an organization, while AI and automation can help apply those priorities continuously across growing volumes of intelligence.

Extend that thinking across trusted intelligence-sharing communities, and the opportunity becomes even more significant because intelligence identified by one organization can become meaningful context and earlier action for another.

For me, that is where many of the conversations at GISEC ultimately converged. The future is not simply about more threat intelligence, more automation, or more AI; it is about bringing these capabilities together so people can make better decisions and organizations can act when it matters.

Ultimately, the value of intelligence is not measured by how much we know, but by what that knowledge enables us to do.