# MTTR Under 10 Minutes— **Every Alert, Every Time** Dropzone AI’s autonomous SOC agents deliver context-rich investigations in minutes—so threats are contained before they escalate. **5x** faster MTTR **90** integrations **300+** deployments worldwide Gartner Cool Vendor for the Modern SOC ## What Happens When Alerts Sit in a Queue? Every minute an alert sits unexamined, the attacker’s lead grows. In 2017, Merck suffered $1.4 billion in damages from the NotPetya attack, compounded by delayed response. Modern threat actors are faster: Scattered Spider has demonstrated the ability to compromise an environment in under 30 minutes from initial access. The math is simple. If your SOC takes half an hour to investigate a single alert, and you receive hundreds per day, the backlog becomes a business risk. Attackers are not waiting for your queue to clear. ## How It Works ### Collect **Alert** Mass read operations on S3 bucket ### Investigate **Top Findings** 1. ‘tomb’ read 825 objects from bucket ‘docs’ containing system design diagrams. 2. No permission errors or suspicious activities associated with the user. 3. User logged in from an IP address where they have consistently logged in from in the past. 4. User is expected to perform a backup on ‘docs’ bucket according to ticket OP-3. **Conclude** Accepted behavior due to scheduled backup and requires no further action Alert marked Benign and dismissed **Contain** No auto-containment action required **Adapt** Context memory updated to remember user 'tomb' permissions ## Why Is Reasoning-Based Investigation Faster Than SOAR? Traditional SOAR platforms rely on static playbooks: predefined rules that execute when conditions match. When alerts fall outside those rules, the playbook breaks and the alert goes back to a human queue. That queue is where MTTR dies. Dropzone AI takes a different approach. AI agents reason through each investigation dynamically, querying tools, correlating evidence, and following investigative threads the way a seasoned analyst would. No predefined rules to maintain. No automation engineers to write playbooks. Every alert gets investigated, regardless of whether it matches a template. **Investigation logic** - New alert types - Evidence depth - Maintenance **Traditional Automation** - Static playbooks and decision trees - Requires new playbook from an automation engineer - Limited to playbook-defined queries - Ongoing playbook tuning and updates **Dynamic reasoning across tools and evidence** - AI agents adapt investigation strategy in real time - Agents query every relevant tool and follow every thread - Coachable in natural language. No code required. ## Dropzone AI Doesn’t Just Automate— **It Reasons** - Triages and investigates alerts using reasoning, not static rules - Understands context—phishing content, unusual behavior, attacker techniques - Interviews users when necessary to gather first-hand input - Shows its work with detailed findings and evidence ## Minutes Matter in Modern Detection and Response ### Faster Response, Lower Risk Every minute shaved off MTTR reduces the attacker’s window to move laterally, exfiltrate data, or deploy ransomware. Organizations using Dropzone AI report 5x faster mean time to respond and 90% faster escalated investigations. ### 100% Alert Coverage, Zero Backlog AI agents investigate every alert that fires, 24/7. No triage queue. No alert fatigue. No coverage gaps during shift changes, holidays, or staff turnover. ### Contain Threats Before They Spread When AI agents confirm a threat, containment actions fire immediately: blocking IPs, disabling compromised accounts, isolating endpoints. Threats are contained in minutes, not hours. ## Works With Your Existing Security Stack Dropzone AI integrates with 90+ security tools via native APIs. No data migration. No log normalization. No playbooks to build. AI agents query your SIEM, EDR, identity, cloud, and business systems directly to gather context, the same way your human analysts do. Complements existing SOAR implementations rather than replacing them. ## How Much Does Slow Response Time Cost Your Organization? **Data Breach Risk Reduction** - Annual Risk Reduction: $4.8M - Probability of a breach in one year: Benchmark 3% - Cost of a breach: Benchmark $200M - Damage avoided reducing response time to minutes: Benchmark 80% **Increased Alert Coverage** - Annual Risk Reduction: $500K - Otherwise ignored alerts investigated by Dropzone AI: Benchmark 4000 **Per-Hour Damage Mitigation** - Annual Risk Reduction: $352K - Alerts per year investigated by Dropzone A: Benchmark 8000 ## Frequently Asked Questions **How fast can AI investigate a security alert?** Dropzone AI investigates every alert in minutes, regardless of alert type or source tool. AI agents begin investigation immediately when an alert fires, querying your SIEM, EDR, identity, and cloud tools to gather evidence. Organizations report 5x faster mean time to respond compared to manual investigation workflows. **What is MTTR and why does it matter for security teams?** MTTR stands for mean time to respond (or mean time to remediate). It measures the average time from alert detection to containment or resolution. Lower MTTR directly reduces the window attackers have to move laterally, exfiltrate data, or deploy ransomware. Industry benchmarks show that faster containment correlates with lower breach costs. **How is AI-driven investigation different from SOAR?** SOAR platforms depend on static playbooks written by automation engineers. When an alert falls outside a predefined rule, it goes back to a human queue. AI agents reason dynamically through each investigation, adapting to new alert types without requiring new playbooks. This eliminates the maintenance burden and covers alert types that static rules cannot handle.