There are areas where endpoint security startups can build viable, useful products, but those openings shift as adjacent categories converge and incumbents absorb new capabilities. Founders, buyers, and investors need to distinguish a viable product strategy from a feature waiting to be bundled.

Endpoint security startups face a dilemma. Build broadly, and you compete against platforms with more data, broader distribution, and deeper pockets. Build narrowly, and you risk becoming a feature that those platforms develop before you gain traction.

If you are creating an endpoint security product, this guide will help you navigate these market dynamics. If you are evaluating or investing in one, the same questions will help you assess whether the startup has found a defensible position.

• Prevention is baseline, platforms are entrenched.
• The gaps exist, but they shift.
• Adjacent categories are converging with endpoint security.
• AI and data advantages grow with scale.
• Incumbents own the budget and the channel.
• Defensibility determines the exit terms.
• A rubric for the startup’s position.

Prevention is baseline, platforms are entrenched.

Dominant endpoint security platforms have absorbed what were once separate product categories and set a high bar for newcomers. Microsoft bundles Defender for Endpoint with its E5 licensing and holds the #1 market share according to IDC. Gartner began evaluating EDR alongside endpoint protection, and Forrester retired its standalone endpoint security evaluation entirely. Prevention and detection are now table stakes.

Customers are unlikely to switch from their endpoint platform, even after catastrophic failure. The CrowdStrike 2024 outage affected ~8.5 million Windows systems, yet CrowdStrike maintained 97%+ gross customer retention. If you have a new endpoint security product, be certain it offers significant differentiation over these entrenched incumbents.

Questions on platform differentiation:

• How does it differ from modern endpoint protection platforms such as Microsoft Defender, CrowdStrike Falcon, and SentinelOne Singularity?
• Does it aim to replace existing endpoint security solutions, or will it complement them? If the two will coexist, how well do they integrate?
• Does the product protect beyond traditional endpoints, such as cloud workloads, containers, browsers, AI agents, or firmware?
• Does it overlap with adjacent categories such as browser isolation, application allowlisting, or data loss prevention?
• How many additional agents, consoles, and integrations will the SOC need to manage? Does the product reduce operational load or add to it?

The gaps exist, but they shift.

Platform vendors spent billions in recent years acquiring startups to fill gaps in their endpoint coverage, validating that the window of opportunity is substantial. But these windows close. Application control was once a standalone category before platforms absorbed it. EDR was a niche that became the standard. Browser security and supply chain security are today’s gaps, but they may be tomorrow’s bundled features.

Platforms cannot build niche capabilities as fast as they can acquire them. They optimize for breadth and allocate engineering capacity to current customers. When customers demand a capability, building from scratch can take years, while acquiring takes months. The startup, in turn, eventually needs distribution and resources it cannot obtain on its own.

Recent acquisitions and funding rounds suggest where some of the gaps are:

• Agentic AI security: Palo Alto Networks acquired Koi for a reported ~$400M.
• Browser security: CrowdStrike acquired Seraphic for ~$420M.
• Runtime memory protection: Prelude Security raised $45M to address in-memory attacks that evade file-based detection.
• Continuous identity: CrowdStrike is acquiring SGNL for ~$740M to pair endpoint risk signals with access control across human, non-human, and AI identities.
• Firmware and below-OS security: Eclypsium raised $45M in an effort to secure infrastructure firmware.
• AI agent security: SentinelOne acquired Prompt Security and Zenity raised $38M in a Series B to secure autonomous AI agents.

Questions on gap durability:

• Which existing vendors are the startup’s closest competitors, even if they use a different approach?
• How long before a platform vendor builds or acquires a competing capability in the startup’s niche?
• If a platform vendor shipped a “good enough” version of the product’s capability tomorrow, what would the startup retain that they cannot replicate?
• Is the gap the startup is targeting driven by a structural limitation of platforms, or by a priority they have not yet addressed?

Adjacent categories are converging with endpoint security.

A startup building near the boundary of endpoint security faces competition from two directions. Adjacent categories are expanding into threat detection. Also, endpoint platforms extending into device management, DNS, and browser control.

MDM/UEM vendors already have agents on endpoints and are adding security capabilities. Jamf grew its security ARR to $216M, up 44% year-over-year, reaching 30% of total revenue by Q3 2025. Francisco Partners subsequently acquired Jamf for $2.2 billion, validating the category’s strategic value. Other device management vendors are making similar moves:

• Kandji, which had raised $100M at an $850M valuation, expanded from Apple MDM into EDR, vulnerability management, and compliance automation in October 2025.
• NinjaOne raised $500M at a $5B valuation for what it calls “autonomous endpoint management,” expanding from RMM and patch management into a platform that increasingly overlaps with endpoint security workflows.
• Microsoft’s Intune integrates directly with Defender for Endpoint to enforce compliance policies based on real-time device risk, extending the bundling dynamic into the device management layer.

Automated patching, configuration enforcement, and vulnerability management fill the space between what MDM manages and what EPP detects. Automox raised over $150M to consolidate these functions into a cloud-native product, while Action1 raised $20M for cloud-native patch management. Larger players such as Tanium (valued at $9B) also operate here.

Beyond device management, DNS filtering is an enforcement layer that major endpoint security platforms do not cover natively, creating space for startups that can integrate DNS-layer protection into broader endpoint strategies:

• Cisco Umbrella’s legacy client reached end-of-support in April 2025, forcing customers to migrate to Cisco Secure Client and giving competitors an opening during the transition.
• DNSFilter, which raised $50.5M total, targets MSPs with multi-tenant management and machine-learning domain categorization, a distribution model that parallels the MSP-first approach discussed in the SMB security product guide.
• Infoblox, which manages core DNS and network services for enterprises, has extended into protective DNS by adding threat intelligence and machine-learning analytics capabilities.

Enterprise browsers represent a third convergence vector, one that could reduce dependency on OS-level endpoint agents:

• Island reached a ~$4.8B valuation with $810M in total funding, positioning its enterprise browser to consolidate web filtering, isolation, and zero-trust access into a single solution.
• Palo Alto Networks acquired Talon for a reported $625M and integrated it into Prisma SASE as a browser-based enforcement point for unmanaged devices.
• Google launched Chrome Enterprise Premium, adding threat protection, data loss prevention, and zero-trust access controls directly into the browser.

For endpoint security startups, browsers are both a risk (if enforcement shifts to the browser, the OS-level agent becomes less critical) and an opportunity (browser telemetry as a data source that endpoint platforms do not yet capture well).

Questions on adjacent category dynamics:

• Is the startup building in an adjacent category or competing against vendors expanding from one? Does the customer already use an adjacent platform that bundles security features?
• Does the product depend on a platform (MDM, DNS infrastructure, browser) that is adding its own security capabilities? If so, what happens to the startup’s position when that platform ships a competing feature?
• Are adjacent vendors adding security faster than security platforms are adding adjacent capabilities, or the reverse? How does this affect the startup’s timeline?

AI and data advantages grow with scale.

Dominant endpoint platforms benefit from network effects that grow with every deployment. CrowdStrike’s Threat Graph processes trillions of events daily across its entire customer base, and each new customer adds telemetry that sharpens detection for all others. Microsoft processes over 100 trillion security signals per day.

Competing against this scale of data requires different data, not volume:

• Halcyon reached a $1B valuation with an architecture trained exclusively on ransomware attack patterns, a specialization depth that general-purpose platforms optimize away.
• In contrast, Deep Instinct raised $322M to compete on general endpoint detection with deep learning and has since pivoted to data security, illustrating the difficulty of matching the platforms’ breadth with funding alone.
• Cybereason’s trajectory, discussed below, reinforces this pattern.

Other opportunities to compete with platforms are in the areas they’re not designed to cover, such as the proliferation of AI agents in enterprise environments. This category is early enough that the incumbents do not yet have a data moat, which creates a window similar to what CrowdStrike found when EDR was nascent.

Questions on AI and data strategy:

• What proprietary data can the startup accumulate that incumbents with larger customer bases will find difficult to replicate?
• Does the product’s AI advantage target a specific threat category, or does it compete broadly against platforms with vastly more training data?
• If the product depends on third-party AI models, what percentage of its value proposition survives if a platform vendor adds similar capabilities?
• If the startup is targeting an emerging category such as AI agent security, can it build a data advantage before the incumbents enter?

Incumbents own the budget and the channel.

A startup’s competition is often not another vendor but an existing budget commitment. Enterprise buyers typically operate under multi-year contracts, and displacing an incumbent means justifying the switching costs, staff retraining, and software redeployment. Even at renewal, cyber insurance discourages change. Many insurers now list EDR among baseline underwriting requirements, and a buyer already satisfying that requirement with an existing tool has little incentive to risk a transition.

Prospective customers may already have endpoint security through their Microsoft E5 agreement, making Defender a competitor they perceive as “free.” Microsoft has extended this bundling to AI capabilities by including Security Copilot in E5 at no additional cost, further raising the floor that startups must clear. However, E5’s Security Copilot allocation is capped at modest levels, creating room for startups offering deeper AI capabilities.

Distribution is the other constraint. At scale, VARs, MSSPs, and MDR providers control which products enterprise buyers see and how fast they get deployed. An MDR vendor can bypass a startup’s product entirely by bundling technology with staffing into a managed service, so the buyer never evaluates standalone alternatives. For example, Sophos acquired Secureworks for $859M and defends over 18,000 MSP-managed customer environments. A startup selling to those SMBs must convince the MSP, not the end customer.

Questions on budget and distribution:

• Is the prospective customer under a multi-year endpoint security contract? If so, when does it expire, and what would justify an early switch?
• Does the customer’s cyber insurance already require EDR? If so, what argument would persuade them to switch from a tool that already satisfies that requirement?
• Is the customer already using Microsoft Defender through an existing E5 agreement? If so, what is the startup’s displacement argument?
• Would the customer spend on an MDR service rather than a standalone product? If so, how does the startup’s offering compare to that alternative on a total cost of ownership basis?
• What is the startup’s go-to-market strategy? Direct enterprise sales, channel partnerships through MSSPs and MDR providers, or product-led growth?
• If the startup targets SMBs rather than enterprises, how does its strategy account for the different distribution and pricing dynamics?
• Does the product address a regulatory requirement (NIS2, DORA, SEC disclosure rules) that existing platforms do not satisfy?

Defensibility determines the exit terms.

Building a new endpoint platform is exceptionally difficult today. For most startups in this space, the realistic best outcome is acquisition on favorable terms. The difference between a strong exit and a distressed sale comes down to defensibility, timing, and leverage.

Today’s incumbents are harder to displace than the previous generation. Symantec and McAfee held 72% combined AV market share in 2005 but were architecturally locked into on-prem, signature-based detection.

Today’s dominant platforms are cloud- and AI-native and don’t carry the architectural debt that created their own opening a decade ago. Displacing them requires either a comparable paradigm shift or a niche they have not prioritized.

The track record is instructive. Cylance pioneered AI-based prevention but was acquired by BlackBerry for $1.4 billion in 2018 and resold to Arctic Wolf for $160 million in 2025, an ~89% decline. Cybereason competed broadly on general EDR, raised over $900 million in total funding, reached a ~$3 billion valuation, and was eventually acquired at a fraction of that peak.

Carbon Black went public, was acquired by VMware for $2.1 billion in 2019, then absorbed into Broadcom’s portfolio where it reportedly could not find a buyer willing to meet its asking price. SentinelOne, the sole independent public company from this cohort, has seen its market capitalization fall substantially from its 2021 peak.

Becoming a platform is not impossible, but the conditions that enabled CrowdStrike and SentinelOne to emerge no longer exist in the same form. For most founders, the more honest strategy is to position for strategic acquisition with enough differentiation to have leverage. Security teams evaluating a startup with this trajectory should ask what happens to their deployment after the acquisition closes, and whether the product’s roadmap is shaped by customer needs or by exit timing.

Questions on defensibility and exit:

• Is the startup positioning for strategic acquisition, or does it have a credible and funded path to becoming a platform? How does that choice shape its product roadmap?
• Does the company have sufficient funding to deliver on its promises, or a reasonable path to obtaining it?
• Which platform vendors would benefit from acquiring the product’s capability, and are there at least two?
• What would a customer lose by switching to a competitor or a platform’s bundled alternative?
• If the startup is acquired, what happens to the customers? Will they face forced migration, feature stagnation, or integration into a platform they don’t use?

A rubric for the startup’s position.

The following table can help assess whether the startup is pursuing a defensible gap in the endpoint security market. Score the startup against each factor. Those that cluster in the “Needs Rethinking” column are likely building a feature, not a company. My guide for creating cybersecurity products covers the broader product strategy framework that applies beyond endpoint security.