The agentic AI security category has gone from a handful of stealth startups to a genuine buying decision in under eighteen months. Five names come up in almost every shortlist we see: Dropzone AI, Prophet Security, 7AI, Daylight, and Kai. They are often grouped together in analyst reports and vendor decks, but they are not the same product, and they are not competing for the same budget line in most cases.

This post breaks down what each one actually does, how they price, who they are built for, and which alternatives are worth considering before you sign anything.

Quick Comparison

Dropzone AI: Predictable Pricing and Fast Deployment

Dropzone AI is the most mature product in this group when measured by customers in production. Founded by Edward Wu, who previously built the detection engine at ExtraHop, Dropzone raised a thirty-seven million dollar Series B in July 2025 led by Theory Ventures, bringing total funding above fifty million. The platform is deployed at more than three hundred organisations including UiPath, Zapier, and Pipe.

The product itself is an autonomous AI SOC analyst. It ingests alerts from your SIEM, EDR, and cloud security tools, runs a full investigation using the same techniques an expert Tier 1 analyst would use, and returns a verdict with a complete audit trail. There are no playbooks to write and no code to maintain. Dropzone reports customers seeing a ninety percent reduction in investigation time and a tenfold increase in alert handling capacity, with setup taking around thirty minutes via API connections.

The pricing is refreshingly transparent. Dropzone AI starts at thirty-six thousand dollars per year, which covers up to four thousand AI-driven investigations annually. Unlimited users are included. Volume discounts apply for larger deployments, and enterprise plans offer dedicated single-tenant environments. One caveat worth knowing: because pricing is tied to investigation volume, customers with very high or unpredictable alert loads sometimes end up cherry-picking which alert types to ingest, which can create coverage gaps. This is worth modelling carefully during a proof of concept.

Integration coverage is strong. Dropzone connects natively to Splunk, Microsoft Sentinel, CrowdStrike, Microsoft Defender, AWS Security Hub, Google Workspace, Microsoft Entra ID, and more than eighty other tools via API. SOC 2 Type 2 certified, single-tenant architecture, and Dropzone is named in the Gartner Innovation Insight for AI SOC Agents.

Alternatives worth comparing: Prophet Security for teams that want threat hunting built in, Intezer for forensic-grade investigation depth, Radiant Security for integrated log management.

Prophet Security: Three Products, One Platform

Prophet Security, founded by Kamal Shah, raised a thirty million dollar Series A in July 2025 led by Accel with participation from Bain Capital Ventures. The company has since added strategic investments from Amex Ventures and Citi Ventures, putting total funding north of forty million.

What sets Prophet apart is the platform scope. Rather than a single AI analyst product, Prophet offers three integrated agents. Prophet AI SOC Analyst handles autonomous triage, investigation, and response for incoming alerts. Prophet AI Threat Hunter generates hunt hypotheses, validates them against your environment, and runs proactive searches using natural language queries. Prophet AI Detection Advisor analyses your telemetry, identifies coverage gaps using the MITRE ATT&CK framework, and recommends tuning for noisy detections.

The reported impact is meaningful. Prophet customers have collectively run more than one million investigations in a six-month period, saving around three hundred and sixty thousand hours of analyst toil, with ten-times-faster response times and a ninety-six percent reduction in false positives. The platform integrates with SIEMs, security data lakes, cloud platforms, and SaaS applications, and Prophet claims day-one readiness across common corporate SaaS tools.

Pricing is subscription-based with tiered access to features, delivered on custom quotes rather than published rates. Setup takes thirty minutes or less, typically requiring read-only access to two or three of your existing security tools.

Alternatives worth comparing: Dropzone AI for simpler per-investigation pricing, Exaforce for multi-model architecture that extends to detection, 7AI for swarming multi-agent architecture.

7AI: Swarming Agents and AWS-Native Procurement

7AI carries the heaviest pedigree in this group. The company was founded in 2024 by Lior Div and Yonatan Striem-Amit, the same team behind Cybereason, and raised a one hundred and thirty million dollar Series A in December 2025 led by Index Ventures. That round is the largest cybersecurity Series A in history. Total funding is around one hundred and sixty-six million, and the platform has been named to the Fortune 2026 Cyber 60 list.

The architectural bet is swarming. Rather than routing an alert through a single AI agent, 7AI deploys multiple specialised agents in parallel across five domains: Endpoint, Identity, Cloud, Email, and Network. More than sixty purpose-built agents work simultaneously on the same alert, with an endpoint agent enriching device context while an identity agent checks user behaviour and a network agent analyses traffic patterns. The company calls its core capability Dynamic Reasoning, which lets agents investigate previously unseen threats without pre-written playbooks.

Production numbers are substantial. 7AI agents have processed over 3.8 million alerts, completed more than 945,000 investigations, and reduced false positives by ninety-five to ninety-nine percent. Customers report saving between thirty minutes and two and a half hours per investigation, and the largest deployment (DXC Technology) was stood up in eight weeks.

Pricing is the most flexible of the five. 7AI is available directly from the vendor on enterprise contracts, or through the AWS Security Hub Extended plan with pay-as-you-go billing, one contract, one bill, and consolidated support. For AWS-heavy environments this procurement path is a significant advantage. The platform integrates with fifty-plus security tools, with particularly deep native hooks into AWS Security Hub, GuardDuty, and CloudTrail.

Alternatives worth comparing: Dropzone AI and Prophet Security for smaller teams with simpler stacks, Exaforce for multi-model (non-LLM-only) architecture, Palo Alto Cortex XSIAM for teams already standardised on Palo Alto.

Daylight: Managed Service, Not a Platform

Daylight is the odd one out in this comparison, and the distinction matters. Daylight is not a SaaS platform you deploy and run. It is a fully managed service, marketed as Managed Agentic Security Services (MASS). Think of it as the next generation of MDR rather than an AI SOC product.

Founded by Hagai Shapira and Eldad Rudich (both Unit 8200 alumni, both early employees at Torq), Daylight raised a thirty-three million dollar Series A in November 2025 led by Craft Ventures, with Bain Capital Ventures participating, bringing total funding to forty million.

The service combines Daylight’s proprietary agentic AI with elite human analysts who stay engaged through complete resolution, rather than escalating cases back to your team. The platform integrates with any IT or security stack, deploys in under an hour, and uses ChatOps (Slack and Microsoft Teams) as the primary collaboration interface between Daylight’s analysts and your team. Customers report an eighty percent reduction in MTTR, a ninety percent reduction in false positives, and contextual awareness drawn from HR systems, identity platforms, and past investigations.

Pricing is delivered as a managed service subscription on custom quotes. This is a fundamentally different commercial model from the other four vendors. You are buying outcomes and analyst time, not seat licences or per-investigation capacity.

Alternatives worth comparing: CBTS, Critical Insight, Arctic Wolf, and other AI-augmented MDRs. Among platforms on this list, Daylight has no direct analogue, though 7AI’s PLAID service and Exaforce’s MDR offering are the closest comparisons.

Kai: Broader Than SOC

Kai emerged from stealth in March 2026 with a hundred and twenty-five million dollars in launch funding from Evolution Equity Partners. That is an enormous opening round, and it signals the scope of what Kai is trying to build. Founded by Galina Antova (Claroty co-founder) and Dr Damiano Bolzoni (SecurityMatters co-founder, acquired by Forescout), the platform is pitched as a unified agentic AI layer that covers far more ground than SOC operations.

Kai’s use cases span enterprise vulnerability management (triaging millions of findings and eliminating eighty percent as benign positives), application security (processing two million SCA findings with ninety-nine percent false positive reduction in an hour), identity security (generating granular workload identities to reduce over-permissioned roles), detection engineering (generating and tuning seventy-plus detection rules in two hours, cutting false positives from seventy-four percent to twelve percent), log reduction and cost optimisation (one customer reported a million dollars in annual savings by rerouting non-security data to cheaper storage), threat modelling with MITRE ATT&CK coverage expansion, and CTI distillation at scale.

The pitch is platform consolidation. Rather than picking an AI SOC tool, an AI AppSec tool, and an AI vulnerability management tool separately, Kai argues for one reasoning layer that sits above all of them. Kai’s early adoption spans energy, pharma, automotive, and hospitality, and the company graduated from the Chevron Technology Ventures Catalyst Program.

Pricing is enterprise contract only, on custom quotes. Given Kai’s scope and target customer (large enterprises looking to replace multiple point tools), this is not a platform you try with a credit card. Expect commercial conversations measured in six or seven figures annually.

Alternatives worth comparing: For narrower SOC scope, any of the other four on this list. For the broader platform consolidation ambition, Palo Alto Cortex XSIAM and Exaforce are the closest competitors.

How to Choose

The five platforms rarely compete directly on the same RFP. The actual decision usually comes down to four questions.

Do you want a product or a service? Daylight is a managed service. The other four are products you deploy and run, though 7AI and Exaforce also offer managed options. If you do not have a SOC team to oversee an AI SOC, start with Daylight or a managed offering.

How predictable is your alert volume? Dropzone’s per-investigation pricing is the most predictable for steady-state alert flows. 7AI’s pay-as-you-go is better for variable or seasonal volumes. Prophet and Kai use enterprise contracts that absorb volume variance but require larger commitments.

How wide is your scope? Dropzone, Prophet, and 7AI are SOC-focused. Kai is a broader platform play that extends into vulnerability management, AppSec, and identity. If your pain is purely alert triage, the SOC-focused tools will give you faster time-to-value. If your problem is tool sprawl across multiple security disciplines, Kai’s scope becomes relevant.

Where does your data live? All five integrate with major SIEMs and cloud providers, but the depth varies. 7AI is the most AWS-native through the Security Hub Extended plan. Dropzone and Prophet have the broadest pre-built integration libraries across SIEM, EDR, and SaaS. Daylight and Kai both promise fast custom integration, with Daylight committing to new connectors in days.

Run a thirty-day proof of concept on real production alerts with two platforms at most. Measure time to verdict, false positive reduction, and analyst hours recovered. The numbers will decide this more cleanly than any analyst matrix.