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Over the past two decades, cybersecurity has grown skilled at understanding what went wrong, not what is about to go wrong. That needs to change.
Modern security programs focus on detection and response - flagging malicious activity after it reaches the network. This process is effective, but it starts too late. It leaves a window of opportunity where attackers can act before defenders even know they are there.
AI has radically changed the tempo of this timeframe. What once took weeks of reconnaissance and setup now happens in minutes. Automated systems scan, register, and weaponize infrastructure so quickly that they compress the time between planning and launch to nearly zero. That accelerating pace has created a new readiness gap - the time between how fast adversaries move and how quickly defenders can respond.
Pre-attack prevention closes that gap. As the MITRE PRE-ATT&CK Matrix shows, every attack begins with preparation: reconnaissance, resource development, and infrastructure setup. These early steps unfold long before execution and give adversaries an edge. With the right visibility, they also give defenders an opening. By identifying and dismantling attack infrastructure as it forms, teams can stop campaigns before they begin.
In this blog, we’ll look at why traditional defenses no longer suffice, how AI has redrawn the rules of engagement, and how pre-attack prevention helps organizations shift from detection to readiness.
When Detection Isn’t Enough - The Missing Layer of Defense
Most organizations have done everything right. They run endpoint protection, vulnerability scanners, SIEM platforms, incident-response playbooks and more. Each tool does its job, and together they form a mature stack that looks complete on paper. Yet the comfort that stack provides can be deceptive. Because every layer of it assumes that a threat must first appear before it can be stopped.
Detection and response have served the industry well, yet the rise of AI-driven attack vectors has made timing a critical factor. Industry data shows how far the lag has stretched: IBM’s 2024 Cost of a Data Breach Report cites an average of 258 days to identify a breach, and SentinelOne’s 2025 data places full detection and containment at about 277 days. During that window, AI-driven attackers can register domains, test payloads, and launch campaigns before any alert fires. Even among Mandiant customers – some of the industry’s fastest responders - the median dwell time still averages 11 days globally.
The issue is simple: traditional threat intelligence looks backward, predictive analytics looks too far ahead, and both miss what is happening right now as attackers prepare. Pre-attack prevention fills that gap. It focuses on signals that show intent in real time - not just probability.
Inside Pre-Attack Prevention – How It Works
Pre-attack prevention begins at the setup stage, when adversaries are building their infrastructure before launch. Platforms like Malanta monitor this stage at internet scale, collecting and correlating pre-attack telemetry from across the global threat surface.
The platform integrates multiple data sources to identify Indicators of Pre-Attack (IoPAs) - domains, DNS artifacts, C2 servers, phishing kits, exploitation footprints and more. These are matched against organizational assets to find any overlap between attacker activity and business risk. Here’s what the process looks like:
- Enrich: Feed validated IoPAs back into existing SOC, TIP, SIEM, and SOAR systems - replacing static intelligence with live prevention data.
- Collect: Aggregate global reconnaissance and staging data from open, dark, and deep web sources, as well as internet-wide scanners.
- Correlate: Link IoPAs to the organization’s brands, domains, and customers using proprietary graph models that reveal attacker-to-asset relationships.
- Validate: Test exploitability and confirm relevance through automated heuristics and behavioral analysis (which reduces false positives by up to 90 percent).
- Disrupt: Dismantle adversary infrastructure through takedown actions, registrar notifications, and service-level interdictions before operational use.
This process delivers measurable outcomes that translate into tangible business value.
The Business Value of Pre-Attack Prevention
Every CISO measures success in terms of time, cost, and certainty. The longer a threat remains unseen, the higher the cost of response and recovery. Pre-attack prevention changes that equation by giving security teams visibility into the setup phase, when adversaries are still preparing, not attacking. Acting at this stage creates value on three levels:
- Prevention over cleanup
Pre-attack prevention removes attacker infrastructure before it can be used, cutting response time from days to minutes. Organizations that establish pre-attack coverage report significant reductions in downstream workload and incident volume. - Protection that extends beyond the perimeter
Pre-attack telemetry maps the external footprint from the adversary’s perspective. It exposes brand-adjacent assets, customer-facing domains, and partner-linked systems that attackers often exploit. By dismantling these staging points early, security teams protect customer data, revenue streams, and digital trust. - Enrichment drives operational precision
Pre-attack prevention connects with SOC, TIP, SIEM, and SOAR systems to supply live, validated intelligence. Automated checks reduce false positives by up to 90 percent and help analysts focus faster, saving time and resources.
The Bottom Line
Pre-attack prevention gives organizations the visibility to find and remove attacker infrastructure before it becomes a weapon. The result is a dramatic shift in the concept of control - transforming cyber defense from reaction to readiness.
The readiness gap - the growing divide between attacker speed and defender response - exists because detection-first models can’t keep up with AI-driven operations. Pre-attack prevention closes that gap by letting defenders act earlier, when intervention is fastest and most effective.
Pre-attack prevention platforms like Malanta align people, processes, and intelligence around a single purpose: staying ahead of adversaries by stopping attacks before they begin. The organizations that master this shift will define the next standard of cybersecurity readiness.
See the next attack before it happens. Stop it before it begins. Learn how with Malanta.
