Radware Puts Its AI Guardian Inside Dataiku’s Enterprise Stack

On June 25, 2026, Radware said it would plug its AI guardian runtime security into Dataiku’s enterprise AI platform, the cybersecurity vendor’s third major AI security launch in five months. The deal gives Radware an earlier seat inside enterprise AI projects, embedded in the same governance layer where business teams already orchestrate models and agents. It is also the latest in a string of AI-related news from the company that the stock has not rewarded.

Radware closed at $28.14 on the day of the announcement, up 0.14% on the session after rising from $28.13. The stock sits 13.4% below its 52-week high and 23% above its 52-week low, with a 52-week average of $25.88.

Radware Slots Its AI Guardian Into Dataiku’s Governance Layer

Radware (NASDAQ: RDWR) announced a partnership with Dataiku on June 25, 2026 to integrate the cybersecurity vendor’s application, AI and API security capabilities into Dataiku’s enterprise AI platform, per the joint press release announcing the partnership. The combined solution is designed to monitor, inspect and help control AI-driven actions across applications, APIs and data in real time, addressing what the companies describe as a growing need to secure AI systems as they move into production. Radware’s AI guardian agent services are being brought into AI initiatives earlier in the build cycle, expanding beyond traditional security budgets and creating new entry points into enterprise stakeholders, including security and risk teams. Dataiku’s governance and orchestration layer gives Radware a natural entry point into enterprise technology investments, the announcement said, while extending Dataiku’s platform with security capabilities designed for production-scale AI deployments. As AI systems begin executing actions across APIs, data, and business workflows, new risks emerge including unauthorized activity, data exposure, and abuse of connected systems, the announcement stated.

The integration puts two of the loudest names in enterprise AI security and enterprise AI orchestration on the same product roadmap. Dataiku supports more than 750 of the world’s largest organizations, according to the company, including Roche, Johnson & Johnson, and Michelin, and was named a Leader for the fifth consecutive time in the 2026 Gartner Magic Quadrant for AI Platforms for Data Science and Machine Learning, per Dataiku’s fifth consecutive Gartner Magic Quadrant Leader designation.

For Dataiku, the deal folds runtime enforcement into a stack that already handles orchestration, governance, and lineage. For Radware, it makes the company a sub-component inside someone else’s control plane, a position that trades margin for reach.

Why the Deal Targets AI Execution, Not the Model

The framing of the partnership is deliberate. AI systems are no longer just generating output, the Radware announcement argued, they are executing actions across enterprise systems, calling APIs, and touching data. That shift, from generative to agentic, is what Radware is selling protection against. The Dataiku deal is positioned as enforcement at the point of execution, not at the point of inference.

Radware CEO Roy Zisapel told analysts on the company’s Q1 2026 earnings call that cybersecurity is being reshaped by what the company calls four major waves of disruption: DDoS, application security, API protection, and now agentic AI security. Radware, he said, sits at the intersection of all four. The Dataiku partnership is the most concrete expression yet of that positioning. Agentic AI Protection launched in February 2026, and AI Xploit Shield, a service that creates customer-specific virtual patches for newly discovered vulnerabilities, launched on June 16, 2026, nine days before the Dataiku announcement.

What Each Company Brings to the Stack

The joint stack pairs two clearly defined halves. Dataiku supplies the orchestration and governance layer that connects data, models, agents, and applications into a single governed system. Radware supplies the runtime monitoring and enforcement layer that sits beside it, watching what AI agents do in production and intervening when their behavior crosses a policy line. The two systems exchange signals in both directions.

The Dataiku side handles lineage, versioning, auditability, approval workflows, and policy enforcement at design time, before code reaches production. The Radware side handles prompt-injection blocking, rogue-agent detection, and behavior enforcement at runtime, after agents have begun executing actions. In a worked example from the joint technical blog on the integration, Radware detects and blocks goal hijacking attempts while Dataiku analyzes the signal, identifies the source, and facilitates remediation. The companies describe the loop as moving enterprises from detection to response, then to scaled governance across fleets of agents. It is a clean division of labor, and a deliberate one.

Use cases the partners cite span financial services, healthcare and life sciences, energy and critical infrastructure, and broad enterprise generative AI programs. In financial services, Dataiku orchestrates governed analytics and agentic workflows while Radware mitigates the risk of agents being coerced into executing malicious actions or leaking sensitive data. In healthcare, Dataiku keeps pipelines explainable and auditable for regulators, while Radware protects agents interacting with tools, data, and external content. The vertical pitch is built for regulated buyers, who are the customers most likely to pay a premium for runtime enforcement.

A Six-Announcement Run of AI Security News

The Dataiku deal is the sixth AI-related announcement from Radware in seven months. Five of those announcements came with what stock traders would normally consider a positive strategic tone. The price reaction was not.

1. Nov 13, 2025 – Hitachi partnership in Japan for an AI-driven cloud application protection service. Next-day share move: -0.1%.
2. Nov 18, 2025 – LLM Firewall add-on launched to protect generative AI integrations. Next-day share move: +1.0%.
3. Jan 8, 2026 – Disclosed the ZombieAgent zero-click AI agent vulnerability and outlined planned research. Next-day share move: -1.4%.
4. Feb 3, 2026 – Agentic AI Protection launched for autonomous AI agents using behavioral analysis. Next-day share move: -1.6%.
5. Jun 16, 2026 – AI Xploit Shield launched for virtual patching of app and API vulnerabilities. Next-day share move: -0.8%.
6. Jun 25, 2026 – Dataiku partnership announced (article written day-of; next-day reaction not yet observable).

In the year before the Dataiku deal, AI-focused launches and disclosures from Radware saw an average next-day move of about -0.58%, with most sessions slightly negative despite generally positive strategic framing, per StockTitan’s tag-specific history. It is not a market call. It is a record of how the shares have responded to this category of news in the recent past. The Dataiku partnership was announced on a Thursday, and the stock closed at $28.14, up 0.14% on the day, with no measurable pop tied specifically to the news.

The pattern matters because the announcements have been substantively similar in shape. Each has expanded Radware’s AI security footprint or shown off a new detection capability. Each has been positioned by the company as a step-change in enterprise relevance. None has produced a sustained re-rating. Short interest sits at 3.07% of float as of May 29, 2026, with 6.14 days to cover, suggesting limited squeeze dynamics. The 52-week high of $31.92 sits 13.4% above the current share price, and the 52-week low of $21.68 sits 23% below it. The 52-week average is $25.88. In other words, the stock has had room to move on AI news and has chosen not to.

That does not mean the strategy is wrong. It means the market has not yet priced it. The question is whether the Dataiku announcement has the structural difference that the earlier ones lacked, and whether the partnership’s revenue profile, when it shows up in filings, will look different from a product launch. Neither question has an answer yet.

The Stock Setup Going Into the Deal

Radware’s operational backdrop for the partnership was set in May 2026 with the Q1 earnings report. Revenue in Q1 2026 was $79.8 million, up 11% year-over-year, beating the $78.58 million forecast. EPS was $0.30, ahead of the $0.28 consensus by 7.14%. Cloud ARR grew 23% year-over-year. The Americas region grew 40% year-over-year and contributed nearly half of total revenue, per Radware’s Q1 2026 earnings call transcript.

Radware guided to 8% to 9% ARR growth for the full year, with continued double-digit revenue growth expected to be a focus for the back half. The company’s own commentary on AI positioning has been direct. Two analysts covering RDWR carry a Hold consensus with a 2026 price target of $32.50, per Public.com. Intellectia AI’s model places the stock in a 2026 trading channel between $20.57 and $30.16, with a July 2026 average forecast of $26.72 and a July range of $26.08 to $30.16. Radware’s market capitalization on June 25, 2026 was around $1.183 billion, per Radware’s 15-year stock price history.

AI systems are moving from generating output to executing actions across enterprise systems. Security teams need visibility and control at the point of execution. This partnership extends enforcement to where AI risk actually occurs.

Travis Volk, vice president of global technology solutions at Radware, said so in the joint press release announcing the deal. Radware closed at $28.14 on the day of the announcement, with the 52-week average sitting at $25.88 and the 52-week high at $31.92.

Where the Real Risk Sits

The risk sits in valuation and in execution. Simply Wall St’s analysis of the announcement flagged that Radware’s shares are on the way up but could be overextended by 32%. Community valuations on the platform span roughly $14.53 to $32.78, underlining how far opinions on the stock can diverge. The same analysis notes the company carries a premium earnings multiple against a low return on equity. Recent insider selling has added a second signal. On May 29, 2026, Chief Operating Officer Gabriel (Gabi) Malka sold 7,000 ordinary shares at $30.00 in an open-market transaction worth $210,000, per the Form 4 filing for the May 29 insider sale. Two insider sales over the trailing six months total roughly $250,563, per Quiver Quantitative.

• 32% – Simply Wall St’s flag that Radware’s shares could be overextended from current levels.
• $210,000 – Approximate value of the May 29, 2026 insider sale by COO Gabi Malka at $30.00 per share.
• $250,563 – Two insider sales over the trailing six months, per Quiver Quantitative.
• -0.58% – Average next-day share-price move following Radware’s past year of AI security announcements, per StockTitan’s tag-specific history.
• $14.53 to $32.78 – Range of Simply Wall St community valuations on RDWR.

Execution risk is a separate concern. The Dataiku partnership brings Radware into enterprise AI projects earlier in the build cycle, but Radware does not own the customer relationship in the way it does for traditional cybersecurity sales. Dataiku does. The revenue attribution, contract structure, and renewal economics for security sub-components inside an orchestration platform have not been disclosed. Until they are, the partnership is a pipeline story, not an earnings story.

The competitive picture is also wider than the partnership suggests. Mainstream application and API security platforms have added adjacent runtime protection offerings, and hyperscalers continue to push native guardrails for AI agents inside their own platforms. Radware’s differentiator is the depth of its behavioral analysis engine and its focus on AI-specific threats such as indirect prompt injection. That differentiator will need to show up in measurable customer wins for the stock to follow the strategy.

Frequently Asked Questions

What did Radware and Dataiku announce on June 25, 2026?

Radware (NASDAQ: RDWR) and Dataiku announced a partnership to integrate Radware’s application, AI, and API security capabilities into Dataiku’s enterprise AI platform. The combined solution is designed to let enterprises monitor, inspect, and help control AI-driven actions across applications, APIs, and data in real time. The deal embeds Radware’s AI guardian runtime services inside Dataiku’s governance and orchestration layer.

What is Radware AI guardian?

Radware AI guardian is the company’s runtime protection product for autonomous AI systems. It discovers AI agents, monitors prompts, actions, and tool usage, and enforces behavioral policies in real time. According to the joint Radware and Dataiku blog post, the product detects and blocks indirect prompt injections, blocks rogue or compromised agents, and provides AI Security Posture Management across fleets of agents.

How will the partnership affect Radware’s revenue?

Radware has not disclosed revenue attribution, contract structure, or renewal economics for the Dataiku partnership. The deal is positioned as bringing Radware earlier into enterprise AI projects and expanding beyond traditional security budgets. Until revenue contribution is disclosed in filings, the partnership is a pipeline story rather than an earnings story.

Is the Radware-Dataiku deal priced into RDWR stock?

Radware’s stock has not consistently moved on AI security news. AI-focused launches and disclosures from the company have averaged a next-day price move of about -0.58% over the past year, per StockTitan’s tag-specific history. The stock closed at $28.14 on the day of the Dataiku announcement, up 0.14%. Simply Wall St has flagged that the shares could be overextended by 32%, while two analysts at Public.com carry a Hold consensus with a $32.50 2026 price target.

Who are Dataiku’s main enterprise AI customers?

Dataiku supports more than 750 of the world’s largest organizations, including Roche, Johnson & Johnson, and Michelin. Dataiku says it is trusted by 1 in 4 of the world’s top companies, based on the top 500 of the 2024 Forbes Global 2000 list excluding China. The company was named a Leader for the fifth consecutive time in the 2026 Gartner Magic Quadrant for AI Platforms for Data Science and Machine Learning.

Disclaimer: This article is for informational purposes only and does not constitute financial advice. Cybersecurity and AI security investments carry significant risk. Past performance, including Radware’s stock price history and the historical AI news price-reaction pattern, does not guarantee future results. Readers should consult a qualified financial professional before making investment decisions. Figures cited are accurate as of June 25, 2026.