Eve Security

• AI gateway and platform vendors could extend runtime observation and policy enforcement over AI agents into suites enterprises already buy, removing the third-party budget line before Eve establishes an independent position.
• Eve has no named customer in the public record, only anonymous testimonials on its own site, so a buyer or a rival could treat the product as unproven and a competitor with named references could win on equal footing within a year.
• Eve's $3 million seed is small for an enterprise sales motion, so a better-funded rival could outspend it before Eve converts its design partners into named references.
• Eve markets EveGuard on unverified positioning claims about its agent-in-the-loop approach and observability depth, so an independent evaluation showing parity with rivals would undercut the pitch.
• Eve shows no public security attestation, so an enterprise procurement review could stall the sale until the company produces a SOC 2 report or equivalent.

Eve Security aims at the CISO whose organization has begun running AI agents against its most sensitive systems. The company argues that agents now make decisions, move data, and reach tools faster than existing security controls can watch, a gap its lead investor Creighton Hicks of LiveOak Ventures described as security leaders flying blind. EveGuard sells runtime visibility and policy enforcement over that agent activity across data, tools, and systems.

The problem is credible but framed in the vendor's own terms. The public evidence for it is Eve's launch materials and founder interviews rather than independent research that sizes the demand for a standalone runtime tool. Cornberg describes the addressable market as large but offers his own estimate, not an analyst category or a regulatory mandate that would establish the pain independently. [s7, s3, s5]

EveGuard is built around an AI analyst, named Eve, that Eve Security calls an agent-in-the-loop. The homepage describes it observing agent behavior, clustering requests, assessing risk, and interrogating other agents, then intercepting and constraining unsafe actions before sensitive operations run. The company positions this as observability paired with real-time enforcement rather than after-the-fact alerting.

The agent-specific work centers on protocols and policy. Eve says EveGuard supports the Model Context Protocol and Agent-to-Agent communication so it can watch how agents reach external tools and each other, and it enforces policy on the intent and data inside a request rather than on English-language rules alone. Cornberg frames intent-based enforcement as the way to avoid blind spots that literal policy wording leaves open.

Public technical depth is thin for a buyer's evaluation. The capability detail lives on marketing pages and in interviews, with placeholder images still visible on the site, and the reviewed record shows no documentation portal, demo, open-source code, or third-party evaluation to inspect. The claims are specific, but nothing outside Eve's own telling verifies them yet. [s1, s6, s4]

Eve enters a crowded field with a modest $3 million seed. Several funded startups already sell runtime discovery, monitoring, and control of enterprise AI agents, and Eve's differentiator is a framing rather than a demonstrated edge, an agent-in-the-loop analyst that interrogates other agents and enforces policy on intent. The company frames this as a novel approach with unusually deep observability, a framing the public record does not independently confirm.

The structural risk sits above Eve rather than beside it. Runtime observation and enforcement over agent actions reads as a natural extension for AI gateways and for larger security platforms that already hold the enterprise relationship, so the capability Eve leads with is the kind an incumbent could fold into a suite. Staying standalone against that absorption pressure is the central challenge for a seed-stage independent.

Eve's clearest opening is speed and focus. A dedicated tool aimed squarely at agent runtime control can move faster than a platform adding a feature, but that advantage holds only while Eve converts interest into named customers before the larger vendors close the gap. [s3, s1, s6]

Eve's traction evidence is the weakest part of its public record. The homepage carries five glowing testimonials, but each is an anonymous placeholder avatar attributed to a generic role such as CISO or SOC Manager, not a named customer. The integration logos it displays name well-known endpoint and cloud vendors without any stated partnership or deployment.

The founder is candid that the company is still early. Cornberg says Eve validated the problem with security professionals, shared an early build with design partners, and is now focused on getting its first customers to speak and become references for others. That describes a design-partner stage, not disclosed commercial scale, and no customer count or revenue appears anywhere in the public record.

The strongest outside signals are the funding announcement and its coverage. The $3 million seed drew reporting from several outlets and an endorsement from Cloud Native Computing Foundation CTO Chris Aniszczyk as an advisor, which shows the launch reached the trade press. These mark visibility rather than verified adoption. [s5, s11, s3]

Eve Security's clearest credential is its CEO's security tenure. Nadav Cornberg told Pulse 2.0 he has 20 years in product and engineering, with his first decade in security split between RSA and Check Point before moving into other industries and returning to cybersecurity. That is verifiable senior experience inside the domain Eve now sells into.

The rest of the founding team is named but thinly documented in public. Co-founders Sharon Eilon, listed as CRO, and Amit Eliav, listed as CTO, are described as bringing depth in growth and in security and AI, but the public record carries no specific prior builds, exits, or research for them. The company also lists Chris Aniszczyk of the Cloud Native Computing Foundation as an advisor, a credible name that supports the network rather than the operating team.

What is absent is the signal that lifts the strongest teams in this category. No prior security-company exit, sustained publication record, or independent recognition appears for the founders in the fetched sources, which keeps the team at solid rather than standout. [s5, s4, s3]

Eve Security publishes no security attestation that a probe could find. Checking the trust and security subdomains, the common trust and security paths, and the homepage footer in July 2026 surfaced no SOC 2 report, ISO certification, or trust portal. The footer links privacy, cookies, and an information security policy, and one path resolves to a product page titled Security Configuration, but none of these is a third-party attestation. For a company at this stage that is expected, but it is a gap enterprise procurement will raise.

The exposure matters because of what the product does. EveGuard sits in the path of live agent activity and reads the intent and data inside agentic requests, so a buyer will want clear answers on data handling, retention, and how the AI analyst itself is secured. Producing a SOC 2 report and documented data-handling terms is the readiness item most likely to surface in a real evaluation. [s10, s1, s6]

Add analyzed competitors to compare them side by side with Eve Security.

Eve Security targets mid-market and enterprise organizations that have started deploying AI agents against sensitive business systems. The company frames the buyer as the CISO or department head who needs oversight of agents reaching financial, HR, and sales systems, and its investor casts the pain as security leaders operating without visibility into shadow AI activity. The segment is real and topical, though the reviewed sources offer only vendor and investor framing for its size, with no independent analyst sizing cited.

The way into that segment is a single product with a narrow job. EveGuard watches agent activity and enforces policy at runtime, which lets Eve approach a buyer who has already adopted agents and now needs to control them. Whether that buyer treats runtime agent control as its own budget line or folds it into an existing platform contract is the open question the public record does not settle.

Eve Security's claimed advantage is an AI analyst that acts on other agents rather than a dashboard that reports on them. The homepage describes Eve observing agent behavior, clustering requests, assessing risk, interrogating other agents, and then allowing, blocking, or redacting their actions before sensitive operations run. The company pairs that with intent-based policy enforcement, which reads the intent and data inside an agentic request rather than matching English-language rules alone.

The protocol support is the concrete technical hook. EveGuard covers the Model Context Protocol and Agent-to-Agent communication alongside ordinary APIs, so it can watch how agents reach external tools and coordinate with each other. That is a specific and current capability set for the agentic-security problem.

What holds up is engineering and framing rather than a defensible asset. The anomaly detection and intent-based policy engine are the kind of capability a funded rival can build against the same MCP and agent interfaces, and no proprietary dataset, benchmark, or third-party evaluation appears in the public record to set the work apart.

Eve Security runs an early, demo-led motion aimed at landing its first named accounts. The site's primary sales conversion path is a book-a-demo request, which fits a product that inspects an organization's agent traffic and targets negotiated enterprise deals. In a September 2025 interview Cornberg described validating the problem with security professionals, sharing an early build with design partners, and working to turn first customers into references.

The record has since gained one named account: a February 2026 release says ZigiWave chose Eve to secure agentic AI for its Fortune 500 customer base. The homepage testimonials are anonymous role-labeled quotes, no customer count or revenue is disclosed, and the integration logos on the site name endpoint and cloud vendors without a stated partnership.

The outside signals so far are the launch and its backing. The $3 million seed from LiveOak Ventures and Tau Ventures drew trade coverage, and Cloud Native Computing Foundation CTO Chris Aniszczyk lends his name as an advisor. These build credibility and reach rather than proof of adoption.

Eve Security publishes no pricing in the pages reviewed. The site routes every visitor to a demo request, which signals a negotiated, sales-led model rather than a self-service or transparent list price. That posture is normal for an early enterprise product that inspects sensitive runtime activity, but it withholds the budget-anchoring signal some peers publish.

The charged unit is also unstated, so what a buyer would pay by, whether monitored agents, protected systems, or event volume, is not disclosed. Confirming the meter and any consumption limits would require a sales conversation, which the hidden-price posture signals is the intended path.

Eve Security delivers EveGuard as software that sits in the path of live agent activity. The company markets a frictionless deployment that requires no additional infrastructure or plug-ins, which lowers the barrier to a trial and fits a product meant to intercept and constrain agent actions in real time. The materials describe automated enforcement once the product is in place rather than an analyst-staffed managed service.

Operational assurances are thin at this stage. No published uptime, support terms, or reference architecture appears in the fetched pages, and because the product reads the intent and data inside agentic requests, a buyer will want to resolve how EveGuard handles that data before it sits inline. For a seed-stage company that operational collateral is the expected gap.

Eve Security publishes no security attestation that a probe could find. A probe of the trust and security subdomains, the common trust and security paths, the homepage footer, and the footer-linked Readiness and Information Security Policy pages on 2026-07-16 surfaced no SOC 2 report, ISO certification, or trust portal. The footer links privacy, an information security policy, and a Readiness page that is a marketing checklist, but none of these is a third-party attestation. No cited source identifies a regulatory mandate for this product class, so the absence reads as a stage artifact rather than a disqualifier, but it is a procurement gap.

The assurance bar is higher than usual because of what the product touches. EveGuard sits inline and reads the intent and data inside agentic requests, so a buyer carries data-handling, retention, and self-security questions the public pages do not answer. Producing a SOC 2 report and documented data-handling terms is the trust item most likely to gate an enterprise sale.

Eve Security positions EveGuard as a control point that sits between agents and the systems they reach. The homepage places Eve between agents and the enterprise's crown jewels, forwarding evidence and high-signal alerts to the existing security stack of SIEM, SOAR, and gateway tools. The protocol coverage for MCP, A2A, and APIs is how it plugs into agent workflows.

The ecosystem claim rests on integrations that are shown rather than documented. A Technology Integrations section displays logos for endpoint and cloud vendors without integration detail, and a June 2026 company post announces a Broadcom collaboration to bring runtime governance to VMware Cloud Foundation and vSphere Kubernetes Service, its most concrete ecosystem move. Beyond that announcement, no joint customer or marketplace listing appears, so the position is announced more than it is evidenced.

Eve Security's strongest credential is its CEO's security tenure. Nadav Cornberg told Pulse 2.0 he has 20 years in product and engineering, with his first decade split between RSA and Check Point before he moved into other industries and returned to cybersecurity. That is verifiable senior experience inside the domain Eve sells into, and he leads the product.

The other founders are named but thinly documented. Co-founders Sharon Eilon, listed as CRO, and Amit Eliav, listed as CTO, are described as bringing growth and security-and-AI depth, but no specific prior builds, exits, or research appear for them in the fetched sources. Chris Aniszczyk of the Cloud Native Computing Foundation advises the company, which strengthens the network more than the operating bench.

The gap is the signal that lifts the strongest teams in this category. No prior security-company exit, sustained publication record, or independent recognition appears for the founders, so the team reads as credible and early rather than proven.