How organizations respond to a security incident often determines whether it remains contained or escalates into a damaging one. Many organizations delay responding in the critical first moments of an incident and are reactive rather than proactive. Dashboards light up; alerts are triggered, reports written, and submitted. Yet, when it’s time to decide, leaders pause. They’re not sure how the incident could affect their people, operations, or reputation. So, they go back with questions, or worse, they wait.
Michael Evans, Director of the Risk Intelligence Center (RIC), sees this pattern often. The issue isn’t access to information, but what happens after the alert.
“A common saying is that ‘communication is key,’ and while this is true, I would add that ‘communication AND context’ is key to effective decision making. You can only do something if you know about it, and to achieve the most effective outcomes, you need to know why it matters.”
That missing “why” can create friction inside many security programs. Bridging this gap is where intelligence-led security truly starts to differentiate from reactive models, shaping a different path forward.
Why decisions matter more than response alone
Security leaders may spend a lot of time on direct responses. They’ve hired experienced teams, invested in technology, and tightened procedures so they can move quickly when something happens. Speed matters, but speed without understanding can create its own risk.
In many reactive environments, the breakdown doesn’t happen at detection. Alerts trigger, tools are monitored, and information flows. The slowdown occurs between awareness and action when decision-makers try to connect a security event to its business impact.
“If decision makers are not provided with an assessment of why something matters, including potential business impacts, they cannot make an effective decision,” Mike explains.
An alert that raises more questions than it answers forces leaders to pause. How serious is this? What’s exposed? Are we looking at disruption, reputational damage, or something contained? When those answers aren’t clear, responses drift. Some incidents get over-escalated, while others may receive less attention than they need.
It can look like leaders are waiting for confirmation. Often, they’re waiting for relevance. The “so what?” As Mike says, they want to understand the impact on “their interests, such as people, property and other assets, including specifically executives, brand and reputation, events, supply chain, and everything else that matters to them.”
Adding more feeds, dashboards, or alerts doesn’t always solve decision delays. Information overload can overwhelm analysts, and alert fatigue can make it harder to distinguish signal from noise. When organizations rely too much on automated outputs, they risk speed without fully understanding the consequences. AI-only tools can hallucinate or miss important real-world factors, prioritizing rapid delivery over decision-ready assessment.
More inputs without assessment only open the gap between knowing and acting.
When data exists but decisions lag
Even in well-resourced environments, friction tends to surface at the same point: after detection and before commitment. Information moves through layers of review, and stakeholders weigh potential consequences. Friction usually comes from uncertainty. Organizations don’t want to act on incomplete information. They don’t want to trigger unnecessary disruption or underestimate a real threat.
That hesitation often stems from a missing “so what.” Good intelligence helps address that head-on. It evaluates the likely impact on the organization. It can anticipate what could happen in the next few hours or days and outline practical options.
“Intelligence enables organizations to assess the impact of an event in the context of their organization, in addition to what could happen next (i.e., in the coming hours, days, weeks, etc.). The best intelligence also provides advice on effective courses of action and controls. It’s not just timing.”
Intelligence as a decision enabler
When intelligence works, it can change how decisions feel. Instead of scrambling to interpret fragmented updates, organizations receive an assessment that can anticipate their questions. Instead of debating basic facts, stakeholders can focus on choosing a path forward.
At the RIC, Mike describes three common uses of intelligence: alarm, assurance, and awareness.
Alarm signals direct relevance. A credible threat to an executive, for example. It acts as a trigger for action. Security teams prepare or deploy a response.
Assurance communicates events that may look concerning but carry limited or no impact, such as a negative social media post that appears threatening but lacks credibility. Here, intelligence offers peace of mind and proportionate response.
Awareness highlights indirectly relevant developments, such as incidents affecting peers in the same industry. It supports vigilance, early warning, and lessons learned.
Across all three, intelligence supports action. Sometimes that action is visible and immediate, or sometimes it’s measured. What matters is that stakeholders understand why they choose one approach over another.
Intelligence also helps align leaders who may view risk through different lenses. A security director, a communications executive, and an operations lead won’t instinctively prioritize the same concerns.
“Intelligence provides a fact-based, real-world based, and unbiased assessment of risk. It uses structured language, analytical techniques, and reference material to promote a common understanding between different stakeholders. The best intelligence answers more questions than it poses, so that all stakeholders have the same key takeaways.”
Response time isn’t just physical; it’s cognitive.
Most conversations about response time focus on physical movement: how quickly a team arrives on-site, how fast a system locks down, and how soon a notification goes out. The cognitive side of response gets less attention.
If the first several minutes of an incident are spent clarifying impact or debating relevance, response slows regardless of how quickly teams can deploy. If organizations focus only on speed, they can jeopardize every other factor that plays an important role in response.
“By focusing too much on speed/timeliness, organizations risk undermining accuracy, relevance, and actionability in intelligence. These things need to be in balance, and prioritizing one over the other(s) will jeopardize success,” Mike says.
Strong intelligence helps reduce the mental strain in high-pressure moments. It can anticipate likely questions and address them up front. It can explain what’s known, what’s uncertain, and what indicators may signal escalation. It continues to update as situations evolve. That steady flow of assessment allows organizations to concentrate on decisions, not interpretation.
Embedding intelligence upstream also changes planning. When teams integrate threat insight into operational planning, they can allocate resources more effectively. They don’t need a plan for every possible scenario, but “by providing them with foresight, they are forewarned and forearmed to deal with whatever happens. Effective pre-incident preparations help in a proportionate, timely, and effective response, aligned with business objectives,” Mike says.
With the right people, tools, and training in place, guided by intelligence, organizations can position themselves to respond in ways that align with business priorities. Pre-incident preparation helps the responses remain proportionate and timely rather than reactive and improvised.
Why reactive models plateau
Organizations don’t necessarily outgrow reactive security, but they do need to evolve. An intelligence-led approach supports efforts to help detect, deter, deny, and disrupt threats before they escalate. It aligns security activities with business priorities rather than focusing on isolated incidents.
“Intelligence-led security focuses on business needs and helps to directly align security in the context of threats, vulnerabilities, and asset protection requirements. It takes security and transforms it from a cost center to a competitive edge, enabling the business to do business.”
Mike further says, “Reactive models are waiting for things to happen before taking action. Because of this, they can feel like a zero-sum game. Something goes bang – security responds. Then something else goes bang – security responds. Leveraging preparedness and post-incident activities can help to promote security effectiveness, but it’s still reactive in nature.”
When intelligence translates events into relevance, when it answers the “so what” before leaders ask, uncertainty decreases. Stakeholders can align more easily, and teams can act with purpose rather than hesitation.
If your program generates data but still struggles with overload or indecision, the friction may lie in the decision process itself. Intelligence-led security addresses this directly, helping organizations move from reacting to alerts to acting on analysis, and that can make all the difference.
