Cybersecurity, Artificial Intelligence

With expanding attack surfaces and rising burnout, aligning executives and security teams is more critical than ever. Dataminr for Cyber Defense helps transform that alignment into decisive action.

For years, cybersecurity teams have fought an asymmetric battle. Threat actors only need to succeed once. Defenders must succeed every time. But the rules of this game have changed, and the gap between attacker capability and defender capacity is widening quickly.

How quickly? Consider a jar of moldy rice.

There is 700ml of rice and 2ml of mold. The mold grows at a rate of 25% per day. After three weeks, the jar is only 25% full of mold. When does it become completely full? 

  • A – Week 12
  • B – Week 24
  • C – Week 4
  • D – Week 8

The answer is C. It would take 21 days from the start to get to 25%, but only 25 days to get to 50% and only 27 days to get to 100%. Growth appears manageable—until suddenly it isn’t.

That’s exponential growth. That’s a tipping point. And that’s what cyber defense teams are facing today. The data reflects the same pattern:

  • Exploitation of vulnerabilities as an entry point has grown 180% year over year
  • Supply chain breaches are up 68% [Verizon DBIR]
  • Attack surfaces are expanding rapidly across cloud, IoT, and remote environments
  • The number of remote workers has tripled [WFH Research]

Meanwhile, defensive capacity is growing far more slowly:

  • The cybersecurity workforce gap has reached 4.8 million professionals [ISC²]
  • 47% of organizations report budget or staffing cutbacks [ISC²]
  • 84% of analysts report burnout [1Password]
  • 70% say alert volume impacts their personal lives [CISO Magazine]

Incremental improvements are no longer enough. Cyber resilience now requires a fundamentally different approach to aligning intelligence, risk, and operations.

The Problem: Fragmented Insights, Linear Defenses

Security teams today face four systemic challenges that reduce capacity, increase burnout, and slow response.

Lack of Prioritization

55% of teams admit to missing critical alerts because they struggle to distinguish what matters most [Mandiant – Global Perspectives on Threat Intelligence].

The flood of alerts, indicators, and reporting forces many analysts into constant firefighting, leaving higher-impact threats unaddressed.

Lack of Context

84% of analysts worry about missing threats because of data overload [CrowdStrike Global Security Attitude Survey], while 82% report visibility gaps [Bedrock Security].

Without sufficient context:

  • False positives increase
  • Investigation time grows
  • Decision-making becomes more uncertain

Lack of Actionability

Investigations stall. Alerts remain unresolved for days. Lessons learned rarely feed back into operational improvements. The impact is measurable: 85% of Known Exploited Vulnerabilities remain unremediated after 30 days [Verizon DBIR]

Security teams often know there is risk. Acting on it quickly and consistently is the harder challenge.

Disconnected Tools and Workflows

Siloed tools and disconnected workflows mean critical intelligence often fails to reach the teams that need it most.

The operational toll is significant:

  • 84% of analysts report burnout [1Password]
  • 70% say alert volume affects their personal lives [CISO Magazine]
  • 62% of SOC leaders say their organizations are not doing enough to retain staff [SANS SOC Survey]

Many CISOs increasingly describe burnout as a capacity management problem because sustained overload directly translates into business risk.

These problems are not solved by adding more feeds or more point solutions. They require stronger alignment between intelligence, operations, and business priorities.

Closing the Exposure Gap

The exposure gap is the growing distance between the speed and sophistication of adversaries and the pace at which most organizations can respond.

Closing that gap requires more than detection. It requires decision advantage: the ability to identify relevant threats, understand business impact, and operationalize response quickly.

Dataminr helps organizations close this gap by connecting real-time intelligence, operational workflows, and risk-informed prioritization.

Operationalizing Intelligence in Real Time

Modern intelligence operations must do more than centralize data. They must operationalize intelligence. That means:

  • Defining intelligence requirements aligned to business priorities
  • Enriching reporting with AI-assisted analysis
  • Mapping threats to frameworks like MITRE ATT&CK®
  • Delivering relevant intelligence directly into SOC, IR, hunt, and vulnerability management workflows

The latest SANS CTI Survey shows organizations are increasingly involving business units and executives in defining intelligence requirements. That alignment improves relevance and helps security teams focus on the threats with the highest operational and financial impact.

AI-assisted workflows also help reduce operational noise:

  • AI-curated requirements help filter irrelevant reporting
  • ATT&CK gap analysis highlights control gaps
  • Automated dissemination ensures intelligence reaches the right teams quickly

Prioritizing Risk Through Business Context

Security teams often prioritize based on severity or frequency. Executive teams prioritize based on business impact. Modern cyber defense requires connecting technical threats to operational and financial risk.

Risk-informed intelligence operations help organizations:

  • Prioritize remediation based on business impact
  • Improve resource allocation
  • Justify security investments more effectively
  • Communicate risk in terms executives understand

This creates stronger alignment between frontline operations and business leadership.

Accelerating Security Operations

Operational speed matters. Security teams need intelligence delivered directly into the workflows and tools they already use, without adding friction or additional operational overhead.

Integrated intelligence experiences can help teams:

  • Reduce investigation time
  • Improve triage efficiency
  • Minimize context switching
  • Surface actionable intelligence in the moment it’s needed

That operational efficiency is increasingly critical as organizations struggle with alert fatigue and staffing shortages.

Real-World Impact

Organizations adopting more integrated, intelligence-driven security operations are already seeing measurable results:

  • A Forbes 2000 healthcare system reduced incident response time from 7 hours to 37 minutes
  • A major social media platform reduced time to close by 300% after implementing integrated intelligence workflows
  • A Fortune 100 insurance provider uses business-impact modeling to prioritize the most critical threats
  • A global manufacturer described contextual intelligence workflows as saving “humans worth of time” by improving analyst efficiency

Across organizations:

  • 98% say integrated intelligence operations are critical to their business
  • 97% report improved effectiveness across SIEM, SOAR, and EDR tools
  • 90% report time savings greater than 50%
  • 67% reduced MTTR by more than 50%
  • 63% reduced false positives
  • 79% improved collaboration between teams

Why Now?

Three pressures are converging at once:

Attack Complexity Is Increasing

AI-assisted phishing can reduce attacker costs by 95% [Harvard Business Review]. Additional research shows:

  • 40% of business-targeted emails are now generated using AI [VIPRE Security Group]
  • More than 57 nation-state-aligned threat actors are actively using advanced AI tools [Google Threat Intelligence Group]

The Attack Surface Keeps Expanding

Every cloud deployment, IoT device, and third-party integration creates another potential entry point. More vulnerabilities were reported in 2024 than any previous year, increasing 30% over 2023 [SC Magazine].

Defensive Capacity Isn’t Keeping Pace

Even when budgets grow, organizations cannot scale simply by adding headcount. The workforce gap, burnout rates, and alert overload make operational efficiency essential.

At the same time, there is one encouraging trend: business leaders are becoming more involved in defining intelligence priorities. According to the 2025 SANS CTI Survey, executive and business participation in intelligence requirements is higher than ever before.

That alignment helps organizations focus collection, analysis, and response efforts on the threats that matter most.

How Dataminr Delivers Decision Advantage

Dataminr for Cyber Defense helps organizations connect intelligence, risk, and operational workflows into a more adaptive security posture by:

  • Aligning intelligence with business priorities
  • Delivering real-time context directly into operational workflows
  • Improving prioritization through risk-informed intelligence
  • Enabling continuous operational feedback and improvement
  • Reducing friction across tools and teams

The goal is not simply more visibility. It’s faster, more informed decisions.

For Every Role in the Cyber Defense Chain

  • CISOs—Gain clearer visibility into operational risk and improved communication with executive stakeholders.
  • Security Leaders—Improve alignment across intelligence, operations, and risk management teams.
  • CTI Teams—Streamline intelligence collection, prioritization, and dissemination.
  • SOC and IR Teams—Access actionable context faster to improve triage and response.
  • Threat Hunters and Detection Engineers—Focus efforts on threats most relevant to business risk.

The Bottom Line

Cyber defense has reached a tipping point. Threats are accelerating. Attack surfaces are expanding. Security teams are under increasing pressure to move faster with fewer resources.

Dataminr helps organizations operationalize real-time intelligence, prioritize based on business impact, and strengthen decision making across security operations. The organizations best prepared for the next phase of cyber defense won’t be the ones with the most data. They’ll be the ones best equipped to turn intelligence into action.

Ready to see how Dataminr for Cyber Defense helps organizations operationalize intelligence in real time? Contact us for a demo.

September 23, 2025
  • Cybersecurity
  • Artificial Intelligence
  • Cyber Risk
  • Blog