Agentic Index
CodeRabbit vs Snyk (2026)
CodeRabbit last verified ·Snyk last verified
Both sit in the pull request, and they are looking for different things. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
CodeRabbit is a review agent for GitHub and GitLab with rules you configure in YAML, pull request analytics, learning loops and enterprise server deployment, from $24 per developer a month billed annually on Essentials, with a 14 day trial and a free plan for open source. Snyk is a developer security platform with agentic capabilities including Agent Fix, a multi agent posture product and an AI defense system, with a free plan and Team from $25 a month for up to 10 developers. CodeRabbit reviews for correctness and style, Snyk reviews for vulnerabilities, and most teams eventually run both.
On the Agentic Index coding agent ranking, neither CodeRabbit nor Snyk clears the bar, which asks for all five merge loop capabilities documented in full. CodeRabbit does not document testing, debugging and optimization in full; Snyk does not document human oversight and guardrails in full. 3 of the 96 vendors in the lane clear it. See the coding agent ranking
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. CodeRabbit and Snyk are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 1,084 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose CodeRabbit if
- Review quality is the immediate need, and here it is the whole product rather than one module.
- YAML configurable rules and learning loops mean it adapts to your conventions.
- Review rules written in YAML and kept in the repository suit how your team works.
Choose Snyk if
- Security vulnerabilities, not code quality, are what your pipeline is missing.
- Agent Fix generating remediation rather than only flagging is the capability.
- An established security vendor is easier to defend to your security function.
| Feature | C CodeRabbit |
S Snyk |
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| Action & orchestration | ||
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Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
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CodeRabbitIntegrations & Tool Calling Reviews run on GitHub, GitLab, Azure DevOps and Bitbucket, with linked issues from GitHub, GitLab, Jira and Linear, saved connections to more than 40 connectors, MCP servers for outside context, Jenkins and CircleCI build failures, and web search for library documentation. Reviews also run in VS Code and JetBrains, in the CLI, and inside Claude Code, Codex, Cursor, Gemini CLI and Antigravity through plugins and skills. Sourcedocs.coderabbit.ai/knowledge-base, connections and cliread 2026-10-28 |
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SnykIntegrations & Tool Calling Integrations span source control across GitHub, GitLab, Bitbucket Cloud and Server and Azure DevOps, CI/CD pipelines, IDEs, container registries, cloud providers and ticketing systems, configured at group level. Snyk Broker, deployable via Docker or Helm, reaches SCM instances that are not publicly accessible, and the Snyk MCP server exposes scanning as tools to AI assistants including Claude Desktop, Cursor, Windsurf and Qodo. Sourcedocs.snyk.io/developer-tools/integrations and docs.snyk.io/snyk-apiread 2026-08-30 |
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Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
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CodeRabbitWorkflow Orchestration Several agents divide the work. Besides the review agent, a research agent checks linked repositories, a Coding Agent turns review findings, plans, security findings or failing CI checks into tasks delivered as commits or stacked pull requests, Autofix keeps fixing review feedback and failing checks until a pull request is ready, and a Slack agent and Triage handle their own jobs, with work passing between the agents. Sourcedocs.coderabbit.ai/code, multi-repo-analysis and the 14 October changelogread 2026-10-28 |
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SnykWorkflow Orchestration Multiple specialized agents chain across a discover, remediate, validate and prevent lifecycle. Evo AI-SPM discovers the AI and software attack surface, Agentic AppSec remediates through a CLI or agentic development environment remediation agent, Continuous Offensive Security runs autonomous pentesting and agent red teaming that attacks applications as they change and confirms fixes hold, and prevention gates stop new vulnerabilities from shipping. Agent Fix retries agentically until a fix validates. Sourcesnyk.io/news/snyk-launches-evo-continuous-offensive-securityread 2026-08-30 |
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Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
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CodeRabbitTriggers & Channel Coverage Reviews run automatically when a pull request opens and on later pushes, the Coding Agent can start from a failing CI check or a security finding, Triage rules act on pull requests that match conditions without a person touching each one, Post-Merge Actions run after a merge, and Slack automations fire on schedules, webhooks and PagerDuty incidents. Comments, the IDE and the CLI let people request runs too. Sourcedocs.coderabbit.ai/code, triage/rules and slack-agent/automationsread 2026-10-28 |
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SnykTriggers & Channel Coverage Scans fire from source control events, CI/CD pipeline gates, IDE plugins, the CLI, and invocation by third party AI assistants through the MCP server, while Continuous Offensive Security runs continuously against applications as they change rather than on a schedule, and Agent Guard applies at agent runtime in production. Sourcesnyk.io/news/snyk-launches-evo-continuous-offensive-security and docs.snyk.io/developer-toolsread 2026-08-30 |
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| Knowledge & context | ||
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Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
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CodeRabbitKnowledge Grounding & RAG CodeRabbit stores vector representations of the customer's code as a code index for code base context, alongside cached code and dependency archives, and its homepage describes a Codegraph mapping every node a change can reach. Reviews also draw on code guidelines from rules files, linked issues and past pull requests, MCP servers, web search and linked repositories. The index is described in one FAQ line with no page on its scope or refresh, and self hosted customers can turn data retention off. Sourcedocs.coderabbit.ai/faq (Code Storage), coderabbit.ai homepage and knowledge-baseread 2026-10-28 |
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SnykKnowledge Grounding & RAG A proprietary vulnerability database and a decade of enterprise deployment data confirm which findings are real and exploitable, which Snyk calls ground truth no model produces alone. An AI bill of materials maps the customer's own models, agents, MCP servers, skills and tools, and Continuous Offensive Security returns validated proof of exploitability rather than inferred findings. Sourcesnyk.io/news/snyk-launches-evo-continuous-offensive-security and snyk.io/news/snyk-launches-agent-security-solutionread 2026-08-30 |
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Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
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CodeRabbitMemory & State Persistence Learnings are created by CodeRabbit from team chat during reviews and stored in its database, scoped to the organization or a repository, kept until deleted with never used learnings flagged for review, held for admin approval when a delay is set, and browsable, editable and deletable in the dashboard or through the API. CodeRabbit Agent for Slack also keeps facts and agent written skills across sessions. Sourcedocs.coderabbit.ai/knowledge-base/learnings and agent/skillsread 2026-10-28 |
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SnykMemory & State Persistence A Discovery Agent maintains a live AI-BOM that a Risk Intelligence Agent continuously enriches, and the platform keeps persistent project and organization state, including scan history and accumulated risk scores. No agent memory with its own scope, lifetime or review and delete path is described. Sourcesnyk.io/news/snyk-launches-agent-security-solutionread 2026-09-29 |
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| Control & trust | ||
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Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
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CodeRabbitHuman Oversight & Guardrails The Coding Agent's code mode produces a proposed patch that requires manual review before delivery, and its plan mode writes an implementation plan for a person to approve before any code is written. Automatic Approvals, off by default, requests changes on actionable findings and approves a pull request only once its threads are resolved, the latest commit is reviewed and pre merge checks pass; risk limits withhold approval above a chosen merge or security risk, overrides keep named teams or paths for human approval, and it never merges. Sourcedocs.coderabbit.ai/code and pr-reviews/automatic-approvalsread 2026-10-28 |
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SnykHuman Oversight & Guardrails A Policy Agent turns plain English governance intent into guardrails enforced in CI. Runtime enforcement stops destructive commands in the development loop, and prevention gates block secrets and vulnerabilities across coding agents, IDEs, PRs and CI/CD. The Remediation Agent's interactive run shows its plan and asks before applying each fix, and an auto approve flag skips that prompt. That agent is in early access and off by default, so its approval step is not yet part of the generally available product. Sourcedocs.snyk.io remediation-agentread 2026-10-25 |
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Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
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CodeRabbitSecurity, Identity & Governance Enterprise SSO signs users in through Okta, Google Workspace, Microsoft Entra ID or any SAML 2.0 provider, with SCIM directory sync from Okta or Entra ID, workspace and organization roles, custom roles with granular permissions and a tamper resistant audit log. The Data Processing Addendum states an information security management system that complies with ISO/IEC 27001:2022, annual independent risk assessments and hosting on GCP, and the FAQ read on 30 September 2026 stated SOC 2 Type II with annual audits. The trust center at trust.coderabbit.ai runs on Vanta and shows nothing to an automated read, and the FAQ answers now render client side. Sourcedocs.coderabbit.ai/management/sso, custom-roles, audit-logs and coderabbit.ai/legal/dparead 2026-10-28 |
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SnykSecurity, Identity & Governance Snyk's trust center at trust.snyk.io states ISO 27001 and SOC 2 Type II. Administration works at group and organization level with SSO, role based access and Broker for private networks. Evo AI-SPM keeps a live AI-BOM of models, agents, MCP servers, skills and tools, and a Policy Agent turns governance intent into enforceable guardrails in CI. Sourcetrust.snyk.io, snyk.io/plans and docs.snyk.ioread 2026-10-25 |
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Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
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CodeRabbitObservability & Auditability Agent thread reviews keep a run history, with an execution detail layer showing the commands, tool calls and activity of each run, and Runtime Analysis keeps the completed steps, command output and observations of each verification run with the finding. The Usage view logs every run with who triggered it, its scope and its minutes. Enterprise audit logs add administrative changes, with SIEM export through the API. No retention period for run history is stated. Sourcedocs.coderabbit.ai/slack-agent/thread-reviews, security/runtime-verification and management/audit-logsread 2026-10-28 |
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SnykObservability & Auditability Each Continuous Offensive Security finding keeps a Steps trace of the actions Snyk's agents took, held in the target's scan history, and remediation campaign agent journals stay available after a run. The live AI-BOM shows the models, agents, MCP servers and tools the customer runs and what each can reach. Sourcedocs.snyk.io continuous offensive security finding details and remediation agentread 2026-10-25 |
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Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
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CodeRabbitDeployment & Data Residency Self hosted CodeRabbit, on Enterprise with 500 or more seats, runs inside the customer's own infrastructure on GitHub Enterprise Server, GitLab self managed, Azure DevOps and Bitbucket Data Center, keeping code, pull request data and review traffic inside a boundary the customer controls, with a reverse tunnel for platforms that accept no inbound connection. The cloud service runs on GCP, Enterprise lists company selected SaaS regions among its deployment options, and the CLI signs in to a US or EU region. Sourcedocs.coderabbit.ai/self-hosted/overview, coderabbit.ai/pricing and the CLI v0.7.2 changelogread 2026-10-28 |
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SnykDeployment & Data Residency Scanning runs locally through the CLI and the local only MCP server, which has no hosted remote version, so code need not leave the developer machine. Snyk Broker deploys via Docker or Helm inside the customer network to reach private SCM instances, there is guidance for securing data at rest and using FIPS validated cryptography, and Agent Guard enforces at the customer's own agent runtime. Sourcedocs.snyk.io/developer-tools/integrations and docs.snyk.io/snyk-cli; snyk.io/news/snyk-launches-agent-security-solutionread 2026-08-30 |
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| Solution readiness | ||
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Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
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CodeRabbitPrebuilt Agents, Templates & Packs The review agent's built in follow up actions are Finishing Touches (Fix comments, fixing CI failures, resolving merge conflicts, generating unit tests and docstrings, simplifying code), pre merge checks and Post-Merge Actions, and Triage ships five starter rule templates covering low risk merges, auto fixes, stale pull requests, Slack reminders and urgent fixes. Customers write their own recipes, checks and skills, and there is no library of prebuilt agents. Sourcedocs.coderabbit.ai/finishing-touches, triage/rules and pr-reviews/post-merge-actionsread 2026-10-28 |
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SnykPrebuilt Agents, Templates & Packs The platform rate card prices separately adoptable capabilities that each do their own job, among them Evo AI-SPM (Discovery, Risk Intelligence and Policy agents), Evo ADS coding agent security, Evo COS AI pentesting and agent red teaming, Secrets, Code, Open Source, IaC, Container and API and Web. Each works without the others, and quickstart guides cover Cursor, Windsurf and Qodo. Sourcesnyk.io/plans and the agent security announcementread 2026-09-29 |
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| Platform extensibility | ||
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Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
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CodeRabbitModel Flexibility & Routing Self hosted CodeRabbit connects to the customer's own LLM provider or account under the customer's own keys, while the cloud service sends code to OpenAI and Anthropic models of its own choosing. Sourcedocs.coderabbit.ai/self-hosted/overview and faqread 2026-10-28 |
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SnykModel Flexibility & Routing DeepCode AI and the platform's other AI features run on models Snyk selects: frontier models fine tuned with security context, plus a model of Snyk's own, with no customer choice. The Remediation Agent's agentic CLI lets the customer pick the provider (Anthropic, OpenAI, Bedrock, Vertex, LiteLLM or Ollama) and the model. That agent is in early access, though, and its bring your own model configuration is documented as unstable. Sourcedocs.snyk.io remediation-agentread 2026-10-25 |
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APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
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CodeRabbitAPIs, SDKs & MCP Extensibility The CodeRabbit API at api.coderabbit.ai, authenticated with an x-coderabbitai-api-key header and organization, workspace or self hosted scoped keys, covers review data, Deep Scan findings, organizations and repositories, metrics, learnings, users and roles, and audit log export, with an OpenAPI spec published. Most endpoints are Enterprise plan features with public documentation; since 1 October 2026 the Deep Scan findings endpoint is open to every plan with a non agentic key. Sourcedocs.coderabbit.ai/api, api-reference and changelogread 2026-10-28 |
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SnykAPIs, SDKs & MCP Extensibility A REST API serves customizing, integrating and automating Snyk workflows, and the Snyk CLI comes with tooling including snyk-delta, snyk-filter and snyk-to-html. A Snyk MCP server shipped as part of the CLI exposes scan invocation to MCP enabled AI tools, with quickstart guides for Cursor, Windsurf and Qodo, and a separate API and Web MCP server onboards and configures scan targets conversationally. Sourcedocs.snyk.io/snyk-api and docs.snyk.io/developer-toolsread 2026-08-30 |
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Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
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CodeRabbitTesting, Debugging & Optimization Finishing Touches generate unit tests and fix CI failures in the customer's code, Runtime Analysis, in closed beta on GitHub Cloud, runs a reproduction of a Deep Scan finding in a CodeRabbit coding environment and keeps the evidence, and the CLI's severity gate exits non zero on major findings so scripts can block. All of it tests the customer's code; there is no harness to evaluate or regression test the review agent's own behavior. Sourcedocs.coderabbit.ai/finishing-touches, security/runtime-verification and cli/referenceread 2026-10-28 |
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SnykTesting, Debugging & Optimization Continuous Offensive Security delivers autonomous AI powered pentesting and agent red teaming that attacks applications continuously as they change, returning validated proof of exploitability and continuously confirming that fixes hold, alongside API and web testing. Agent Fix retries agentically until a fix validates. Sourcesnyk.io/news/snyk-launches-evo-continuous-offensive-securityread 2026-08-30 |
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| Specialist automation | ||
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Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
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CodeRabbitBrowser & Computer Use Agents work through Git platform APIs, the IDE, the CLI and a cloud coding environment for coding tasks and runtime verification. Browser control and operation of software through a graphical interface are not described. Sourcedocs.coderabbit.airead 2026-10-28 |
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SnykBrowser & Computer Use Continuous Offensive Security and API and Web Testing attack running applications, including web surfaces, but this is security testing against the customer's own targets, not an agent operating third party software that has no programmatic interface. There is no browser or computer use capability as such. Sourcesnyk.io/news/snyk-launches-evo-continuous-offensive-securityread 2026-08-30 |
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Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | C CodeRabbit |
S Snyk |
|---|---|---|
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Entry price Lowest public entry point |
From $24 per developer per month billed annually on Essentials ($30 monthly). A Free plan covers pull request summaries, and paid plans start with a 14 day trial. | Team from $25 a month billed monthly, for up to 10 developers, and a Free plan at $0. Enterprise buys prepaid credits at $1 each on a public rate card. |
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Pricing confidence How public the numbers are |
Public, exact | Public, partial |
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Billing Primary billing axis |
Per developer seats, plus metered usage for reviews beyond the hourly limits and for Coding Agent minutes. | Team is a flat monthly subscription for up to 10 developers. Enterprise draws prepaid credits per active contributor, monitored image, provisioned target, active machine or assessment per day, depending on capability. |
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Variable cost Workload / overage exposure |
Medium variable cost | Medium variable cost |
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Free tier / trial Try before you buy |
Free tierTrial
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Free tier
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Buying motion Self-serve vs sales call |
Self-serve | Mixed |
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Pricing verified When this pricing was last checked |
Product updates
Newest first, each linked to its source.
CodeRabbit
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· Human approval / guardrails
Admins can now publish a CodeRabbit Security check with a severity threshold and require it in GitHub, so a pull request cannot merge while qualifying Security review comments remain unresolved.
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· Workflow orchestration
New Triage rules in CodeRabbit act on pull requests that match conditions an organization sets.
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· MCP / tool calling / API
CodeRabbit CLI 0.8.1 adds cr code handoff to create a cloud Coding Agent task from a local session summary, with an optional plan and discovered transcript.
Source
Snyk
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· Human approval / guardrails
Govern Agent Behavior is now generally available in Snyk's Evo, starting with MCP governance.
Source -
· Security / enterprise
Snyk announced the general availability of Evo Continuous Offensive Security (COS).
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· Integrations
Snyk integrated its Studio product directly into Snowflake's Cortex Code environment.
Source
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