Dropzone AI

What Dropzone AI does

Dropzone AI weaponizes LLMs for cyber defenders, delivering the Agentic SOC: AI agents that collaborate 24/7 to beat attackers at scale. Dropzone is ready to go on Day 1 and integrates into your existing tools. AI agents start work immediately to investigate alerts, respond to emerging threats, and proactively hunt attackers. Autonomously and infinitely scalable, with no hidden humans in the critical path. Dropzone works with enterprises and MSSPs, and is actively protecting over 300 companies. The company builds AI agents that investigate alerts, hunt threats, and respond to attacks so organizations can rapidly adapt their defenses in an increasingly dangerous threat landscape. The vision is human strategy, machine scale, where defenders set the direction and AI agents execute at speed and consistency human-only teams cannot match.

Products

• AI SOC AnalystInvestigates alerts autonomously across your full tool stack, 24/7. Provides full AI-driven security investigations, pre-built integrations, and access to threat intelligence feeds. It can handle up to 4,000 full investigations per year per AI analyst, equivalent to the average output of a human Tier 1 analyst. It also includes an AI Chatbot for ad-hoc investigation.
• AI Threat HunterRuns hypothesis-driven, federated threat hunts across SIEM, EDR, and cloud. Compresses 10-20 hours of hunting work into approximately one hour. It runs prebuilt hunt packs or custom hunts, investigating each to completion and providing analyst-ready outcomes. It operates 24/7 without requiring analyst time during execution.
• AI Threat Intel AnalystOperationalizes threat intelligence 24/7. It monitors 2,500+ threat intel sources, extracts indicators of compromise (IOCs) and behavioral techniques (TTPs), assesses relevance to the environment, and creates hunt packs for the AI Threat Hunter to execute immediately. It automates threat intelligence operationalization from source to action.

Key capabilities

• Agentic SOC with collaborating AI agents
• Autonomous alert investigation
• Automated threat hunting
• 24/7 coverage without human intervention in the critical path
• Integration with 90+ existing security tools (SIEM, EDR, cloud, identity, email, SOAR, network, threat intelligence)
• Natural language coaching for AI agents
• No log normalization or data migration required
• Pre-trained out of the box
• Cyber Reasoning Core with deep security domain knowledge and company context
• Bundled threat intelligence subscriptions (e.g., Crowdstrike Falcon Intelligence, Greynoise)
• AI Chatbot for ad-hoc investigation
• Dynamic reasoning for investigations, not static playbooks
• Context memory updated with each investigation
• Automated blast radius analysis for phishing incidents
• Automated user interviews (e.g., via Slack)
• Ability to configure automated containment actions (e.g., quarantining emails, disabling compromised accounts)
• Dedicated cloud tenant hosted in AWS
• Read-only access by default with optional write access for ticketing systems
• No customer data used to train Dropzone AI or sub-processors' models
• Encryption of data at rest and in transit
• Volume discounts available
• Enterprise plans with dedicated single-tenant environment and custom workflow
• MSSP plans with dedicated multi-tenant environment and pooled AI analysts across customers

Use cases

• Alert triage and investigation
• Threat hunting (hypothesis-driven, federated)
• Operationalizing threat intelligence
• Phishing incident response and blast radius analysis
• Endpoint security investigation automation
• Network security investigation automation
• Cloud security alert investigation (e.g., AWS GuardDuty)
• Identity alert investigation
• Insider threat investigation
• Reducing manual investigation time
• Achieving 24/7 SOC coverage without additional headcount
• Improving Mean Time to Respond (MTTR) and Mean Time to Conclusion (MTTC)
• Reducing analyst burnout by automating repetitive tasks
• Enabling SOC teams to focus on higher-value strategic work
• Automating Tier 1 security operations
• Vulnerability exposure assessment
• Threat actor tracking
• Continuous intelligence monitoring

AI approach

Dropzone AI develops AI agents that collaborate to investigate security alerts, hunt threats, and respond to emerging attacks. These agents are pre-trained and coachable in natural language, operating across various security tools via API. The system uses LLMs for dynamic reasoning and integrates deep security domain knowledge and company context. No customer data is used to train Dropzone AI or sub-processors' models.

Tech named: LLMs, AI agents, expert modules

Industries served

• Computer and Network Security
• Enterprises
• Managed Security Service Providers (MSSPs)
• Federal agencies
• Web3 ecosystem
• Oil and gas

What it says sets it apart

• Agentic SOC model with collaborating AI agents
• Pure software, infinitely scalable, no hidden humans or outsourced labor
• Ready on Day 1, deploys in 1 hour, no playbooks or code required
• Integrates with 90+ existing tools via API, no data migration or normalization
• AI agents reason dynamically through investigations, unlike static SOAR playbooks
• Provides 10x SOC capacity without hiring additional staff
• 85% reduction in manual investigation time
• Sub-10-minute MTTR for investigations
• 100% alert coverage, zero backlog
• Coachable in natural language to specific environments
• Bundled threat intelligence subscriptions included
• Dedicated cloud tenant for isolation and security
• No customer data used for model training
• SOC 2 Type 1 certified (Type 2 in progress)
• Transparent by design, showing detailed findings and evidence
• Vendor-agnostic AI beats copilots by being fully autonomous and using multiple tools

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.