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Yes—Palo Alto Networks acquired Koi Security. The companies announced a definitive agreement on February 17, 2026, after Israeli media reports cited by SecurityWeek valued the transaction at about $400 million. The acquisition closed on April 14, 2026. Palo Alto Networks later disclosed $231 million in purchase consideration, substantially all in cash, in its Form 10-Q. That official figure—not the earlier $400 million report—is the best current measure of the transaction price.
What happened to the Koi acquisition?
Palo Alto Networks announced a definitive agreement to acquire privately held Koi Security on February 17, 2026. This was not merely exploratory discussions: the announcement described a signed transaction. The deal subsequently closed on April 14, 2026, according to Palo Alto Networks’ closing release.
At announcement, Palo Alto Networks did not disclose financial terms. Israeli publications reported a value of approximately $400 million, a figure reported by SecurityWeek. Palo Alto Networks’ later SEC filing disclosed $231 million of purchase consideration, substantially all in cash. The same filing identified $61 million of replacement equity awards allocated to future employee services; that service-related compensation should not be added automatically to the purchase price.
Primary transaction sources are the February announcement, the closing release, and the company’s Form 10-Q.
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The price: reported valuation versus disclosed consideration
| Figure | What it means | Status |
|---|---|---|
| Approximately $400 million | Value attributed to Israeli media reports and relayed by SecurityWeek | Reported estimate, not Palo Alto Networks’ final disclosed consideration |
| $231 million | Total purchase consideration disclosed by Palo Alto Networks, substantially all cash | Official figure in the Form 10-Q |
| $61 million | Replacement equity awards for future employee services | Share-based compensation, not automatically additional acquisition price |
The difference does not necessarily indicate an error in the original reporting. Media reports can reflect an estimated enterprise value, preliminary terms, or information available before final accounting. For investors, however, the company’s filed purchase-accounting disclosure is the more authoritative number for completed-transaction consideration.
What Koi Security does
Koi is an endpoint-security company focused on AI coding agents, autonomous tools, plugins, scripts, and other AI-enabled software running locally on enterprise devices. Palo Alto Networks calls the capability “Agentic Endpoint Security.”
The distinction from conventional endpoint protection matters. Traditional antivirus and EDR products generally analyze processes, files, identities, and device activity. Koi’s stated focus is the behavior and risk of AI-native tools that can act with a user’s existing permissions. An agent may read repositories and local files, change code, execute shell commands, invoke plugins, access credentials, and make network requests while appearing to be a legitimate developer tool.
SecurityWeek reported that Koi’s technology examines factors such as code changes, runtime actions, update paths, and network outflows for real-time threat detection. Those descriptions should be read as reported or company-positioned capabilities, not as independent proof that every deployment blocks a particular attack.
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- It can retrieve source code, secrets, documents, or configuration files.
- It can execute shell commands or modify production-related scripts.
- It can install or call plugins and packages whose trustworthiness changes over time.
- It can send code, prompts, or credentials to external services.
- It can be manipulated by malicious instructions in a repository, document, web page, or dependency.
- It may run outside approved software channels, creating “shadow AI” that security teams cannot easily inventory.
That means the security question is often contextual: was this file access, command, plugin call, or outbound connection appropriate for the task and the user? Agentic endpoint security is Palo Alto Networks’ attempt to add that context to endpoint and AI-security operations.
How Palo Alto Networks plans to use Koi
Prisma AIRS
Palo Alto Networks says Koi technology will extend Prisma AIRS’ visibility and controls to AI agents operating on endpoints. Prisma AIRS is positioned as a platform for discovering, assessing, and protecting AI applications, models, agents, and data across development and deployment. Its product scope is described at the Prisma AIRS product page.
The strategic gap is between AI security in cloud applications and the behavior of an AI coding assistant on a developer workstation. Extending visibility across both environments could give security teams a more consistent inventory and policy model.
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Palo Alto Networks also announced plans for a Cortex XDR module to identify and remediate risks in the unmanaged AI software ecosystem. The company’s integration discussion appears in its agentic-endpoint blog post.
The public announcement does not establish that every Cortex XDR customer automatically receives Koi-derived functionality, that it is included in every license tier, or that all operating systems and endpoint types are supported. Buyers need current product and contract documentation for those details.
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What “Agentic Endpoint Security” means
“Agentic Endpoint Security” is best treated as Palo Alto Networks’ strategic category label rather than a universally standardized market category. In practical terms, it combines elements of:
- Endpoint detection and response
- AI runtime and application security
- Identity and privilege management
- Software supply-chain and developer-tool security
- Data-loss prevention and shadow-AI discovery
- Policy enforcement for tool calls and autonomous actions
The category addresses a specific blind spot: cloud AI controls may not see what an agent installed on a laptop, build server, CI runner, or developer environment is doing locally. It also does not replace ordinary endpoint security. Malware, credential theft, vulnerable software, insider misuse, and excessive identity permissions remain risks whether or not an AI tool is involved.
What enterprise buyers should verify
The acquisition signals a product direction, not a guarantee of a finished feature set. Before buying or expanding a deployment, security and procurement teams should ask:
- Does the product monitor AI agents directly, or infer activity from existing endpoint telemetry?
- Which operating systems, developer laptops, build servers, CI runners, and production hosts are covered?
- Can it inspect file access, shell commands, tool calls, credentials, prompts, network connections, and data movement?
- Does it enforce policy before an action, or mainly detect and investigate it afterward?
- How does it distinguish legitimate automation from unsafe but unusual developer behavior?
- What integrations exist for Cortex XDR, Prisma AIRS, SIEM, SOAR, IAM, DLP, and ticketing systems?
- What source code, prompts, secrets, and telemetry leave the endpoint, and where are they stored?
- What is the performance overhead and deployment model?
- Is pricing based on endpoints, users, agents, events, data volume, or an existing Palo Alto Networks subscription?
Potential benefits and trade-offs
Integration versus concentration
A common control plane could reduce duplicate telemetry, console switching, and custom integrations for organizations already using Palo Alto Networks. The trade-off is greater dependence on one vendor’s data model, contract structure, and roadmap. Customers using Microsoft, CrowdStrike, SentinelOne, Wiz, or specialist AI-security products should compare integration gains with switching costs.
Visibility versus privacy
Useful monitoring may require insight into repositories, local files, prompts, tool calls, credentials, and outbound traffic. Organizations should review retention, residency, administrator access, masking, and regulatory controls rather than treating endpoint visibility as unrestricted collection.
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Detection versus prevention
The public materials establish intended visibility, detection, and remediation. They do not establish that all Koi-derived features will prevent prompt injection, data theft, malicious code execution, or supply-chain compromise before an action occurs.
Central policy versus messy developer environments
Agents can be installed outside approved channels, update rapidly, use changing plugins, and run in environments that differ from standard corporate applications. A central platform may improve consistency, but coverage and false-positive handling still depend on deployment quality and policy design.
How the approach compares with alternatives
| Approach | Primary emphasis | Where it may fit |
|---|---|---|
| Palo Alto Networks with Koi, Prisma AIRS, and Cortex XDR | Integrated endpoint, AI-runtime, and response workflows | Organizations seeking a broader Palo Alto Networks control plane |
| Lakera | AI application and agent security, prompt-attack and data-leakage protection, workforce AI security | Teams focused on AI applications and employee generative-AI use; see Lakera |
| Wiz | Cloud, code, workload, and AI-related security in a broader cloud platform | Cloud-first organizations; licensing is modular and quote-based at Wiz pricing |
| Prismor | Local coding-agent interception, policy enforcement, secret masking, and audit trails | Developers or small teams wanting a narrower, transparent-price control; see Prismor pricing |
These products address overlapping but different problems. A local coding-agent control is not a substitute for enterprise EDR, while a cloud-security platform may not provide direct visibility into an agent on a developer laptop.
Bottom line for investors and buyers
Palo Alto Networks’ Koi acquisition is complete, and the best-supported final price is $231 million in disclosed purchase consideration—not the approximately $400 million reported before closing. Strategically, the deal reflects a growing concern that AI tools are becoming privileged software actors on endpoints, not merely chat interfaces.
The opportunity is tighter integration among endpoint telemetry, AI-runtime controls, and response workflows. The open questions are practical: product availability, licensing, supported environments, data handling, performance, and independently demonstrated efficacy. Buyers should evaluate those specifics rather than infer capabilities from the acquisition label or reported valuation.
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