This is a div block with a Webflow interaction that will be triggered when the heading is in the view.

Metrics That Matter: Quantifying Reduced Exposure
Security teams have spent years measuring how fast they react. MTTD, MTTR, MTTC- pick your acronym. All of them assume one thing: the attack is already happening.
That mindset made sense when attackers worked at human speed. It collapses when AI handles reconnaissance, spins up domains, builds infrastructure, and stages payloads in minutes.
Reaction metrics tell you how quickly you cleaned up the mess. They say nothing about whether you could have stopped the attacker from getting that far.
This is where the real gap is today.
The Readiness Gap: What We Don’t Measure Today
Traditional KPIs focus on activity after the attacker hits “go.” They don’t measure the period where adversaries are actually building the campaign.
That blind spot creates what we call the Readiness Gap.
Here’s what happens long before your first alert fires:
- Reconnaissance
Attackers map your people, domains, cloud surfaces, and weak spots. - Infrastructure Setup
They register domains, spin up VPS servers, configure email infrastructure, and prepare hosting. - Staging
They load phishing kits, build lures, generate SSL certs, test payloads, and get everything prepped. - Launch
Only here do your traditional tools wake up.
Everything before Launch is the part the industry still doesn’t measure. Which is why “successful prevention” often shows up as… nothing. And nothing is hard to report to the board.
Why Activity Metrics Don’t Equal Security
Boards love metrics like “incidents closed” and “alerts processed.”
These measure how busy your team was, not whether you reduced risk.
A SOC can resolve 1,000 alerts a week and still miss the one domain an attacker registered yesterday that will bite them next week. Effort isn’t the same as exposure reduction.
A New Set of Metrics for a New Threat Model
If attackers are moving upstream, defenders need metrics that live upstream too. Malanta focuses on KPIs that measure exposure reduction and adversary disruption, not cleanup speed.
1. Exposure Correlation Index (ECI)
How much of your external footprint overlaps with real adversary reconnaissance or staging? If ECI rises, attackers are seeing too much of you. Malanta uses neural exposure mapping to correlate newly registered domains, hosting changes, and staging signals with your actual assets.
2. Mean Time to Preempt (MTTP)
How fast do you shut down a threat before launch? This covers takedowns, blocks, config fixes, and anything else that closes exposure windows ahead of time. Short MTTP means you move faster than the attacker. Long MTTP means they reached execution before you intervened.
3. Infrastructure Disruption Ratio (IDR)
What percentage of attacker infrastructure did you dismantle before it could be used? High IDR means attackers wasted time, money, and infrastructure without ever reaching you. In other words: you became a terrible cost center for them.
Malanta’s metrics represent a forward-looking approach that emphasizes proactive defense by measuring how effectively organizations disrupt adversary operations before attacks occur. Instead of focusing solely on post-incident response and cleanup, these metrics assess defensive actions that reduce exposure and interrupt attacker infrastructure early in the attack lifecycle, enabling a more strategic and preventative cybersecurity posture.
Making Exposure Intelligence Operational
Here’s how teams start measuring what actually matters.
Step 1: See Your Real External Footprint
You can’t measure exposure without knowing what attackers see.
Malanta automates discovery across domains, cloud, and external assets to build your baseline.
Step 2: Correlate Adversary Signals to Your Assets
Not every malicious domain matters to you. Correlation removes the noise.
Step 3: Track How Early You Detect and How Fast You Preempt
Map IoPAs (Indicators of Pre-Attack) across the attacker lifecycle.
Measure the time delta between “they registered it” and “you killed it.”
Step 4: Show Reduction Over Time
Quarter over quarter, you should see lower ECI, faster MTTP, and higher IDR.
That’s what you take to the board.
How Malanta Closes the Readiness Gap
Malanta is built for the part of the attack lifecycle that no one else sees. It monitors how attackers register domains, configure infrastructure, test delivery paths, and stage payloads that mimic your brand.
Earliest Signals of Intent
Modern campaigns start with impersonation infrastructure. Malanta picks up the signals-DNS changes, domain patterns, SSL certificates, kit fingerprints-at the moment attackers set them up.
Impact on Readiness Metrics
- Lower exposure from domain-driven risk
- Higher IDR from fast takedowns
- Faster MTTP from automated prevention
- Cleaner SOC pipelines because the attack died upstream
The Malanta Method: Five Steps of Real Prevention
- Collect – Global pre-attack intelligence and staging signals.
- Correlate – Map IoPAs to your brand, assets, people, and supply chain.
- Validate – Confirm threat relevance and filter out noise.
- Prevent – Disrupt attacker infrastructure before usage.
- Enrich – Feed clean, ready-to-act data into SOC, SIEM, TIP, and SOAR.
This is how you turn “early signal” into “no incident.”
What This Means for Security Leaders
Prevention has always been the hardest thing to measure because, by definition, nothing happens. Malanta changes that by giving you visibility into the attacker’s build phase.
When you can see the setup, you can measure it.
When you can measure it, you can improve it.
And when you can improve it, prevention stops being a hopeful intention and becomes a quantifiable outcome.
That’s what readiness looks like.








