Huskeys Closes $27M Series A With Blackstone Innovations Investments to Build a Control Plane for the Network Edge

Tel Aviv, Israel, September 2nd, 2026, FinanceWire

Huskeys has raised a $27 million Series A, as first reported by The Wall Street Journal led by Blackstone Innovations Investments to make that system somebody's job. The round brings total funding to $35 million following an $8 million seed.

Ask a security architect to draw their edge and you will get a diagram with too many boxes on it. A CDN here. Two WAFs, because an acquisition brought one along. Cloud-native controls in three regions. Load balancers, VPCs, security groups, each configured by a different team at a different time for a different reason. Every box works. The system, considered as a system, is nobody's job.

What a Unified Data Model Actually Does

Huskeys calls its category Network Edge Security Management. The engineering claim underneath the marketing term is a patented Unified Data Model, which creates a common layer of understanding across different environments, technologies, and providers.

Normalization is a familiar idea in security tooling. SIEMs normalize logs. CSPM tools normalize cloud configuration. What distinguishes the UDM is direction: it is not only reading state into a common format, it is pushing intent back out. The model allows security insights, policies, and actions to move seamlessly across platforms, supporting multi-cloud and multi-vendor environments.

That bidirectional design is what turns a dashboard into a control plane. Reading is comparatively easy. Writing requires the model to hold an accurate enough representation of each downstream system that a translated policy behaves as intended when it lands.

Built to Sit on Top, Not to Replace

The platform operates on top of an organization's existing network infrastructure. Rather than replacing existing investments, it connects and orchestrates the modern network edge ecosystem, including CDNs and WAFs, cloud-native security solutions, and network components such as load balancers, VPCs, and security groups.

This is a deliberate architectural stance with commercial consequences. A rip-and-replace pitch requires a customer to abandon sunk cost, retrain staff, and accept migration risk. An orchestration pitch requires them to add a layer. The second sale is faster, and it explains why Zscaler Ventures and Okta Ventures were comfortable investing rather than viewing Huskeys as an encroachment.

The scope is deliberately wide. Coverage runs from the Internet Edge all the way to the application, which is a longer path than most single-vendor edge tools attempt to cover.

The Four Capabilities

Four functions sit on the model: continuous posture assessment, dynamic policy generation, orchestration, and Virtual Patching.

Continuous posture assessment addresses a question security teams find surprisingly hard to answer with confidence, which is whether the controls currently deployed are doing what they were configured to do. Dynamic policy generation moves configuration from a manual authoring task toward something the platform proposes based on observed conditions. Orchestration handles distribution across the estate.

Virtual Patching is the capability with the clearest operational payoff. It allows security teams to mitigate vulnerabilities directly at the network edge within minutes, providing protection while a permanent fix is being developed, tested, and deployed in the application code. The gap between disclosure and shipped patch is measured in days or weeks for most engineering organizations. Compressing exposure during that window to minutes changes the risk math on every published CVE.

Agentic Traffic as a First-Class Problem

The category framing rests on a shift in who, or what, is using applications. Autonomous agents are becoming legitimate users of applications. Non-human traffic is expected to account for 70 percent of all web traffic by 2027.

That creates a classification problem with real business consequences in both directions. An agent acting on behalf of a paying customer should be served. Automated traffic with hostile intent should not. Distinguishing between them is the work, because both are automated and neither resembles a human browsing session.

Huskeys addresses this directly. The platform helps organizations identify, understand, and manage agentic traffic, enabling legitimate AI agents to interact with applications while reducing security risk, false positives, and disruption to the business.

The adversarial side has moved as well. Attackers are using AI to discover and exploit vulnerabilities faster than ever before, and developments such as Mythos demonstrate how AI-driven capabilities are accelerating the speed and scale of cyber threats.

Who Funded It

Blackstone Innovations Investments led the round. Participation came from Merlin Ventures, Skinos Ventures, Zscaler Ventures, Okta Ventures, Bright Pixel Capital, and SV Angel. Yishay Yovel is its founding general partner and Shlomo Kramer its strategic advisor and foundational investor, both pioneers of the WAF and SASE categories.

Individual investors include Eran Reshef, inventor of the WAF and the CAPTCHA, alongside executives from Palo Alto Networks, Cloudflare, Check Point, AWS, Google, Microsoft, and Intel.

The people credited with pioneering the web application firewall now hold equity in a company built to manage web application firewalls collectively. That is a specific kind of endorsement, offered by investors who understand precisely what the current generation of edge tooling does well and where the coordination burden falls.

Adam Fletcher, Chief Information Security Officer at Blackstone, described the shift the round is betting on: "​​The way organizations secure internet-facing applications is fundamentally changing. AI-driven traffic and increasingly fragmented edge environments require a new approach to security management."

Deployed at Scale Already

Huskeys analyzes more than a trillion web requests and thousands of network configurations every day across organizations worldwide. Customers include TikTok, LEGOLAND, Ro, Blackstone, and Hugging Face.

That customer set is architecturally instructive. TikTok operates consumer traffic at extreme volume. Hugging Face serves developers and, increasingly, automated agents pulling models and datasets. Ro handles regulated health data. LEGOLAND runs commerce for physical venues. Blackstone brings financial services requirements. A management layer that holds up across all five has been tested against genuinely different traffic profiles and compliance postures.

The Bet on Coordination

Itai Gafni, CEO and Co-Founder of Huskeys, put the founding thesis this way: "We founded Huskeys because security teams are being asked to protect increasingly complex edge environments with legacy tools that were never designed to work together or to address the challenges of the new AI era."

The strategic wager is that coordination becomes the scarce capability. Individual edge products are mature and effective. What has grown faster than any single product is the number of products a large organization runs and the number of places where their configurations must agree. Huskeys is selling agreement.

Whether that becomes a durable category depends on execution and on how quickly the agentic traffic curve steepens. With $35 million raised, a trillion requests a day flowing through the model, and investors who built the underlying layer, the company has bought itself a serious attempt.

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