Top developer security platforms for enterprises in 2026

What are the top developer security platforms for enterprises in 2026?

Arcjet publishes this guide. Arcjet is a security SDK that runs inside your application and your AI agents, and it appears in the runtime sections of this guide. Competitor details come from each vendor's public documentation as of October 2026. Check the linked sources before you decide.

The most-shortlisted developer security platforms for enterprises are Aikido Security, Snyk, GitHub Advanced Security, SonarQube, Checkmarx One, Endor Labs, Semgrep, and Cycode. All eight scan code and dependencies before release. None of them decide what happens to a live request or an AI agent's action after the code ships, so most enterprises pair one of them with a runtime control.

"Developer security platform" describes products that do different jobs. Some find vulnerabilities in source code. Some block malicious packages on a developer's laptop. Some check cloud configuration. Others decide, while the application runs, whether a request or an action is allowed. Ranked lists usually compare only the first group and present it as the whole market.

This guide sorts the market by control point – the place in the software lifecycle where a product can see a problem and act on it. To build a shortlist, identify the control point that would have caught your last incident, then compare two or three vendors at that point.

Key terms in developer security

The following terms appear throughout this guide:

• Static application security testing (SAST) – Analysis of source code for vulnerability patterns, such as SQL injection or unsafe deserialization, without running the code.
• Software composition analysis (SCA) – Analysis of the open source packages that your application depends on, matched against public vulnerability records, such as Common Vulnerabilities and Exposures (CVE) entries, and against license terms.
• Secrets detection – Scanning for API keys, passwords, and tokens committed to source code. Push protection blocks the commit before it enters repository history.
• Infrastructure as code (IaC) scanning – Analysis of Terraform, Kubernetes, and similar configuration files for insecure settings before deployment.
• Dynamic application security testing (DAST) – Testing a running application from the outside by sending crafted requests and checking the responses.
• Application security posture management (ASPM) – A platform that combines several scanners, or imports their results, into one prioritized list of findings with ownership and policy.
• Reachability analysis – A check on whether your code calls the vulnerable function in a dependency. A vulnerable package that your code never calls is lower risk than one on a request path.
• Software bill of materials (SBOM) – A machine-readable inventory of every component in a build. Some regulations and customer contracts require one.
• Runtime application self-protection (RASP) – An agent that instruments the language runtime and blocks exploitation of vulnerable code paths while the application runs.
• Web application firewall (WAF) – A filter that inspects HTTP requests for attack patterns. A perimeter WAF runs in front of your servers. An in-app WAF runs inside your code.
• Coding agent – An AI assistant, such as Claude Code, GitHub Copilot, Cursor, or OpenAI Codex, that can run shell commands, edit files, and call tools on a developer's machine.
• Tool call – A single action that an AI agent takes, such as running a command, sending an email, or issuing a refund.

Control points that decide the shortlist

Each control point in the following table answers a different question. A product that's strong at one control point can be absent from another.

Scanners reduce the number of vulnerabilities that you ship. Runtime controls decide what happens to traffic after the code is live. Agent controls decide whether an autonomous action runs. An enterprise program that buys only the first category still has no control over the other two.

For more information about the runtime layer, see what is runtime application security. For more information about the agent layer, see top AI agent security platforms.

Code scanning platforms compared

Every platform in the following table covers some combination of SAST, SCA, and secrets detection. The differences that matter to an enterprise buyer are how each one prioritizes findings, how it fixes them, where developers see them, and what it doesn't cover.

None of these platforms absorb a distributed denial-of-service (DDoS) attack. None of them answer a question such as "can this signed-in user export this customer's report?" because that question depends on data your application has at request time. For more information about where each layer runs, see SDK-based security vs WAF vs API gateway.

Shortlist by job

The following sections group vendors by the job you're hiring them for.

Find vulnerabilities in code and dependencies before merge

• Aikido Security – ASPM with automated triage, generated fixes, AI penetration testing, and mapping to SOC 2 and ISO 27001 controls. Choose it when the security team wants one list of findings across code and cloud.
• Snyk – Developer-focused SCA and related scanning. Choose it when adoption in the IDE and pull request matters more than consolidating cloud posture into the same product.
• GitHub Advanced Security – CodeQL, secret push protection, and Dependabot with no additional tool to roll out. It's a poor fit when your code also lives in GitLab, Azure DevOps, or Bitbucket.
• SonarQube – Quality gates that fail a build on maintainability and security issues together. Pair it with a dedicated SCA tool if dependency risk is your main concern.
• Checkmarx One – Central policy and legacy-language coverage. Choose it when an established application security team owns configuration.
• Endor Labs – Dependency risk ranked by reachability. Choose it when transitive dependencies produce more findings than your team can triage.
• Semgrep – Custom rules and fast CI feedback. Choose it when you want internal standards enforced as code.
• Cycode – One view across several scanners and pipelines. Choose it when you already have scanners and need correlation, not more detection.

A scanner reduces the vulnerabilities that you ship. It doesn't stop credential stuffing, scraping, or fake signups, because those attacks use your application as designed. It also doesn't stop a coding agent from reading ~/.ssh on a developer's machine.

Block malicious packages and protect developer machines

• Aikido Safe Chain and Device Protection – Block known malicious packages at install time and on developer machines, deployed through mobile device management (MDM).
• Socket – Detects risky package behavior, such as install scripts, network access, and obfuscated code, in addition to known vulnerabilities.
• Endor Labs package firewall – Blocks risky packages when the package manager resolves dependencies.
• GitHub secret scanning with push protection – Rejects a commit that contains a credential before it enters repository history.

A clean SAST report doesn't help if the next npm install runs a malicious install script. These products cover that gap. They don't make decisions about production traffic or agent actions.

Control requests while the application runs

Many attacks don't exploit a vulnerability. They call public signup, login, search, and API routes as designed, but at abusive volume or with hostile input. Runtime controls make an allow or deny decision on each of those requests:

• Arcjet – An SDK for JavaScript, TypeScript, Python, and Go that you call from your route handler. It applies bot detection, rate limits, attack detection, email validation, and sensitive-information checks, with the signed-in user and route available to each rule. You write the rules in code and ship them in the same pull request as the feature.
• Aikido Zen – A runtime agent for seven languages, including PHP, Java, .NET, and Ruby. It instruments libraries such as database clients to block injection attacks, and it supports rate limits by route and user. For a side-by-side comparison, see Aikido vs Arcjet.
• Contrast – A RASP agent that instruments the language runtime and blocks exploitation of vulnerable code paths.
• Cloudflare, AWS WAF, Google Cloud Armor, and Fastly – Perimeter filtering for DDoS, IP and country blocks, and managed attack rules. Keep them for traffic that you want to stop before it reaches your servers.

The difference between in-app and perimeter controls is context. A perimeter WAF sees an IP address and headers. An SDK in the handler also sees the authenticated user, their plan, and the parsed request body, so it can enforce a rule such as "10 exports an hour on the free plan." For more information, see how enterprises secure APIs against abuse and bots.

Control AI agents and coding agents

AI agents act on their own. An agent in your product can call Stripe, GitHub, or an internal API with credentials that you issued. A coding agent on a developer's laptop can run any shell command the developer can. Code scanners don't see either kind of action, because neither one passes through a pull request.

• Arcjet – Policies that decide each tool call in agents you build, plus hooks for Claude Code, GitHub Copilot, Cursor, OpenAI Codex, and Muse Code. A hook is a callback that the coding agent runs before each tool call. Arcjet uses it to allow or deny the call before it executes.
• Rein Security – A sidecar process that runs beside business-critical enterprise agents and traces their execution.
• Straiker Defend, Datadog AI Guard, agent framework hooks, and Model Context Protocol (MCP) gateways – Other enforcement points. Which one fits depends on whether agent traffic already passes through a proxy. MCP is the protocol that many agents use to connect to external tools.

For more information about the agent market, see top AI agent security platforms and coding agent security.

Common gaps in developer security programs

Enterprise programs often have the following gaps, even with a well-chosen scanner:

• Findings without prioritization. Developers spend time on vulnerabilities that no production code path reaches. Ask each SCA vendor how it computes reachability, which languages it covers, and what it reports when the analysis can't finish.
• Fixes that stop at an upgrade. A major-version upgrade can break the build. An end-of-life package has no maintainer to publish a fix. Ask each vendor what it does when an upgrade isn't possible.
• Too many tools. Large enterprises often run separate scanners for each language, repository host, and business unit. A dashboard that combines them helps the security team. It helps developers only if it ranks the combined list by real risk.
• Missing audit evidence. Single sign-on (SSO), role-based access control (RBAC), and audit trails are often configured after rollout. Require an export that attributes each exception and policy change to a person before you sign.
• No runtime control. A scanner can't stop abuse of a correctly built endpoint. If your incidents involve bots, credential stuffing, or scraping, add a runtime control rather than another scanner.
• Agents treated as code. Scanning code that an AI assistant wrote reduces supply-chain risk. It doesn't stop an agent from issuing a refund or a coding agent from reading a credentials file. That needs a decision before each action.
• A passing CI run treated as a security sign-off. A passing CI run means that the scanners found no known issue types in that commit. It says nothing about production traffic or agent behavior.

How to choose a developer security platform for enterprise teams

Start with the requirements that rule a vendor out. Then compare the remaining vendors on the criteria that decide which one your developers use.

Requirements that rule a vendor out

• Source code handling. If policy requires it, confirm that analysis can run in your own cloud account or on-premises.
• Identity. Confirm that SSO provisioning and removal follow engineering team membership, not only security administrator roles.
• Language and repository coverage. COBOL, RPG, large polyglot monorepos, and code spread across several source control hosts rule out many vendors.
• Deployment model. A GitHub-only product doesn't fit if GitHub isn't your only source control host.

Criteria that decide the winner

• Signal quality. Fewer findings, ranked by reachability and exposure, matter more than a high finding count.
• Remediation. Look for upgrade pull requests, backported patches, suggested code fixes, and a clear owner when no fix exists.
• Developer workflow. Findings in the IDE and pull request get fixed. Findings in a weekly report often don't.
• Governance. Look for policies per business unit, an audit history of exceptions, and mapping to the compliance frameworks that your auditors use.
• Runtime coverage. If a vendor offers a runtime product, confirm whether it blocks requests or only reports them.

Proofs to request on your own repositories

Ask each vendor to demonstrate the following on a representative service:

1. Triage reduction. Show how many findings remain after reachability or equivalent prioritization.
2. A fix that merges. Open a remediation pull request that your team would accept, including one where a major upgrade isn't possible.
3. A blocked secret. Reject a commit that contains a credential before it enters history.
4. A blocked package. Show what happens when CI or a developer machine requests a known malicious package.
5. A runtime denial. If the vendor sells a runtime product, show a blocked request with the user and route recorded in the decision.
6. An agent denial. If you run AI agents, show a denied tool call with its arguments and the policy that denied it.
7. Timeout behavior. Show what happens when a check doesn't respond in time, and whether you can choose to allow or block in that case.
8. Evidence export. Export an audit trail that attributes an exception to a person and a time, in a format your auditor accepts.

What do developer security platforms cost?

Code scanning platforms usually charge per developer or per committer. Runtime controls usually charge by traffic. The following table summarizes public pricing, as of October 2026, for the code scanning platforms compared earlier. It includes Arcjet as an example of runtime pricing. Other runtime and agent products, such as Aikido Zen and Contrast, aren't listed:

Per-developer pricing grows with headcount. Per-request pricing grows with traffic, so protecting only signup, login, and AI routes keeps a runtime bill small. Confirm current prices on each vendor's pricing page.

Layers in an enterprise security stack

Most production organizations use one tool per control point rather than one vendor for everything. A typical stack has the following layers:

1. Code scanning for code, dependencies, secrets, and often IaC – for example Snyk, Aikido, GitHub Advanced Security, Checkmarx, Endor Labs, or Semgrep.
2. An edge network for DDoS protection and coarse IP or country blocks – for example Cloudflare or your cloud provider's edge.
3. Application runtime controls for bots, rate limits keyed on users, and attacks in request bodies – for example Arcjet, optionally beside a RASP agent such as Aikido Zen or Contrast.
4. AI agent and coding-agent controls, if you run either – for example Arcjet policies and coding-agent hooks, or a dedicated agent security platform.
5. Cloud and container posture, if your scanner doesn't already cover your infrastructure – for example Wiz or Cortex Cloud.

Consolidating vendors reduces the number of separate finding lists. Check that it doesn't also remove a control point. A scanner with "runtime" in its marketing might report runtime findings without blocking anything.

Where Arcjet fits

Arcjet isn't a code scanner. It doesn't replace Snyk, Aikido, GitHub Advanced Security, or Endor Labs for finding vulnerabilities in code and dependencies.

Arcjet is a security SDK – a library that you add to your application – for JavaScript, TypeScript, Python, and Go. It covers the runtime and agent control points in three places:

• HTTP route handlers. You call protect() with the request. Arcjet runs the rules you configured, including bot detection, rate limits, email validation, sensitive-information detection, and Shield, Arcjet's in-app WAF. It returns an allow or deny decision before your code continues.
• AI agent tool calls and background jobs. You call guard() before a tool runs. These code paths often have no HTTP request, so a perimeter WAF can't see them. The policy reads the values your code passes, such as the user, the tool, and its arguments.
• Coding agents. Arcjet installs as a hook in Claude Code, GitHub Copilot, Cursor, OpenAI Codex, and Muse Code. Policies that you publish can deny destructive commands, reads of credential files, or connections to unapproved hosts before the tool call runs.

Most rule analysis runs locally in a WebAssembly module in under 1 ms. Rules that need shared state across requests, such as rate-limit counters, make one call to Arcjet's cloud API, typically 20 ms to 30 ms.

The following Next.js route applies Shield and a rate limit of 100 requests a minute for each signed-in user. Because the rule is keyed on userId, one user can't exhaust the limit for everyone behind the same office IP address:

1
import arcjet, { shield, slidingWindow } from "@arcjet/next";
2

3
const aj = arcjet({
4
  key: process.env.ARCJET_KEY!,
5
  characteristics: ["userId"],
6
  rules: [
7
    shield({ mode: "LIVE" }),
8
    slidingWindow({ mode: "LIVE", interval: 60, max: 100 }),
9
  ],
10
});
11

12
export async function POST(req: Request) {
13
  const userId = "user-123"; // from your session
14
  const decision = await aj.protect(req, { userId });
15
  if (decision.isDenied()) {
16
    return Response.json({ error: "Forbidden" }, { status: 403 });
17
  }
18

19
  // Run the export
20
}

To roll out a rule without blocking real users, set mode: "DRY_RUN". Arcjet then records what the rule would have blocked, and you switch it to LIVE once the results look right. For more information, see how to roll out application-layer security without breaking production.

A common enterprise setup is Aikido, Snyk, or GitHub Advanced Security in CI, Cloudflare or a cloud WAF at the edge, and Arcjet on the routes and agent actions where abuse or irreversible changes happen.

When to choose something other than Arcjet

Arcjet doesn't fit the following needs:

• SAST, SCA, SBOM generation, or secrets detection in CI. Choose Aikido, Snyk, GitHub Advanced Security, SonarQube, Checkmarx, Endor Labs, Semgrep, or Cycode.
• Malicious-package blocking on developer laptops. Choose Aikido Device Protection, Socket, or a package firewall. Arcjet doesn't run during package installation.
• Cloud posture across accounts and clusters. Choose Wiz, Cortex Cloud, or your cloud provider's posture tools.
• Services in PHP, Java, .NET, or Ruby. Arcjet has no SDK for those languages. Aikido Zen or a perimeter WAF covers them.
• Applications that you can't change. Use a perimeter WAF or a RASP agent, which attach without a code change.
• CDN or volumetric DDoS protection only. Use Cloudflare, Fastly, or your cloud provider's edge.

Choose Arcjet when the gap in your stack is a decision on a request or tool call that depends on your application's own data, and when you want that rule reviewed and deployed with the code that it protects.

Related reading

• Best application security tools for developers
• What is runtime application security?
• SDK-based security vs WAF vs API gateway
• Top AI agent security platforms
• Best AI security tools for developers
• Aikido vs Arcjet
• How enterprises secure APIs against abuse and bots