{"id":15369,"date":"2026-09-17T18:02:09","date_gmt":"2026-09-17T12:32:09","guid":{"rendered":"https:\/\/threatcop.com\/blog\/?p=15369"},"modified":"2026-09-17T18:02:11","modified_gmt":"2026-09-17T12:32:11","slug":"ai-to-ai-communication-risks","status":"publish","type":"post","link":"https:\/\/threatcop.com\/blog\/ai-to-ai-communication-risks\/","title":{"rendered":"AI-to-AI Communication Risks: What MCP and A2A Actually Expose"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">AI-to-AI communication already runs on two open protocols. MCP connects an agent to tools. A2A connects agents to each other. Neither mandates an audit trail, and the missing human-readable record is a present gap in shipped software rather than a future problem about machines inventing a language.<\/p><div id=\"ez-toc-container\" class=\"ez-toc-v2_0_87 ez-toc-wrap-center counter-hierarchy ez-toc-counter ez-toc-light-blue ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #414141;color:#414141\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #414141;color:#414141\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/threatcop.com\/blog\/ai-to-ai-communication-risks\/#What_AI-to-AI_Communication_Looks_Like_Today\" >What AI-to-AI Communication Looks Like Today<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/threatcop.com\/blog\/ai-to-ai-communication-risks\/#The_Audit_Trail_Problem_Is_Already_Here\" >The Audit Trail Problem Is Already Here<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/threatcop.com\/blog\/ai-to-ai-communication-risks\/#Book_a_Free_Demo_Call_with_Our_Expert\" >Book a Free Demo Call with Our Expert<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/threatcop.com\/blog\/ai-to-ai-communication-risks\/#How_A2A_and_MCP_Fail_Differently\" >How A2A and MCP Fail Differently<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/threatcop.com\/blog\/ai-to-ai-communication-risks\/#What_Has_Already_Gone_Wrong\" >What Has Already Gone Wrong<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/threatcop.com\/blog\/ai-to-ai-communication-risks\/#Why_the_Secret_Language_Worry_Is_Misdirected\" >Why the Secret Language Worry Is Misdirected<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/threatcop.com\/blog\/ai-to-ai-communication-risks\/#The_Gateway_Is_the_Chokepoint\" >The Gateway Is the Chokepoint<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/threatcop.com\/blog\/ai-to-ai-communication-risks\/#A_Control_Checklist_for_Agent-to-Agent_Traffic\" >A Control Checklist for Agent-to-Agent Traffic<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/threatcop.com\/blog\/ai-to-ai-communication-risks\/#What_Humans_Still_Have_to_Decide\" >What Humans Still Have to Decide<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/threatcop.com\/blog\/ai-to-ai-communication-risks\/#Start_With_the_Log_You_Do_Not_Have\" >Start With the Log You Do Not Have<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/threatcop.com\/blog\/ai-to-ai-communication-risks\/#Frequently_Asked_Questions\" >Frequently Asked Questions<\/a><\/li><\/ul><\/nav><\/div>\n\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"What_AI-to-AI_Communication_Looks_Like_Today\"><\/span>What AI-to-AI Communication Looks Like Today<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Two protocols carry almost all of it, and they solve different problems.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th><\/th><th><strong>MCP<\/strong><\/th><th><strong>A2A<\/strong><\/th><\/tr><\/thead><tbody><tr><td>Full name<\/td><td>Model Context Protocol<\/td><td>Agent2Agent<\/td><\/tr><tr><td>Connects<\/td><td>An agent to tools, data, and APIs<\/td><td>An agent to another agent<\/td><\/tr><tr><td>Origin<\/td><td>Anthropic, open standard<\/td><td>Google, now under the Linux Foundation<\/td><\/tr><tr><td>Transport<\/td><td>JSON-RPC 2.0<\/td><td>HTTP, JSON-RPC 2.0, gRPC, Server-Sent Events<\/td><\/tr><tr><td>Shape<\/td><td>Vertical, client to tool server<\/td><td>Horizontal, peer to peer<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">A real system uses both. An orchestrator delegates a task over A2A to a specialist agent, and that specialist reaches its database over MCP. Neither side hands over its tools or its memory.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Adoption is not theoretical. MCP added OAuth 2.0 authentication in March 2025 and now sees more than 97,000,000 monthly SDK downloads. ACP, a third protocol from IBM Research, folded into A2A under the Linux Foundation in August 2025, leaving two standards rather than three. Governance questions raised by this layer appear in <a href=\"https:\/\/threatcop.com\/blog\/anand-thangaraju-on-ai-automation-and-the-governance-layer\/\">the governance layer beneath automation<\/a>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"The_Audit_Trail_Problem_Is_Already_Here\"><\/span>The Audit Trail Problem Is Already Here<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Worries about AI-to-AI communication usually point at a future where machines invent their own language. The gap is nearer than that, and it is documented.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">MCP lacks mandatory audit trails. It also lacks credential revocation on session close and consent gates for sensitive tools. Those are absences in the specification, not bugs awaiting a patch.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The gap between spec and implementation is sharper still. Researchers auditing agent protocols found the MCP specification states that servers must sanitize tool outputs and clients should validate tool results before passing them to the model. The reference SDK implements neither.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">So the human-readable record people worry about losing was never mandatory. Every organization running agents today is relying on whatever logging its own stack happens to produce. Consequently the fix is a requirement you impose rather than a standard you wait for.<\/p>\n\n\n\n<meta charset=\"UTF-8\">\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">\n<title>Threatcop \u2013 Book a Free Demo<\/title>\n<link href=\"https:\/\/fonts.googleapis.com\/css2?family=Outfit:wght@300;400;500;600;700&#038;display=swap\" rel=\"stylesheet\">\n<style>\n  .tc-wrap , .tc-wrap ::before, .tc-wrap ::after { box-sizing: border-box; margin: 0; padding: 0; }\n  .tc-wrap { font-family: 'Outfit', sans-serif; width: 100%; display: flex; justify-content: center; padding: 20px 10px; }\n  .tc-card { width: 100%; max-width: 820px; background: #fff; border-radius: 20px; overflow: hidden; box-shadow: 0 20px 60px rgba(24,57,148,0.13), 0 4px 16px rgba(24,57,148,0.07); display: flex; flex-direction: row; }\n  .tc-left { background: linear-gradient(160deg, #1e44b0 0%, #183994 40%, #0e2570 100%); width: 320px; flex-shrink: 0; padding: 40px 32px; display: flex; flex-direction: column; 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never shared with third parties\n        <\/div>\n      <\/form>\n    <\/div>\n  <\/div>\n<\/div>\n<script>document.getElementById('tc-page-source').value = window.location.href;<\/script>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"How_A2A_and_MCP_Fail_Differently\"><\/span>How A2A and MCP Fail Differently<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Treating agent traffic as one risk category produces controls that miss half of it. The two protocols have distinct threat models.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th><\/th><th><strong>A2A threat model<\/strong><\/th><th><strong>MCP threat model<\/strong><\/th><\/tr><\/thead><tbody><tr><td>Main attack<\/td><td>Agent impersonation, context poisoning through the Agent Card, webhook SSRF, OAuth token theft and replay<\/td><td>Tool exploitation and data exfiltration through a compromised tool<\/td><\/tr><tr><td>Trust boundary<\/td><td>Decentralized, per agent; each peer verifies identity and scopes independently<\/td><td>Between the client and the tool server<\/td><\/tr><tr><td>Blast radius<\/td><td>High, because it targets the identity fabric of the agent network<\/td><td>More contained, at the tool boundary<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">A2A attacks go after trust itself. Anyone can deploy an agent claiming to be a helpful analysis service while quietly stealing data. Worse, the Agent Card advertising its abilities is a public document. An attacker can study it, or poison it.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">API keys and TLS do not solve this. They protect the channel while saying nothing about the identity, intent, or behaviour of the agent at the other end. Impersonation mechanics of this kind appear in <a href=\"https:\/\/threatcop.com\/blog\/impersonation-attacks\/\">why impersonation attacks keep rising<\/a>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"What_Has_Already_Gone_Wrong\"><\/span>What Has Already Gone Wrong<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">In May 2026, the Cloud Security Alliance called MCP one of the most rapidly weaponized attack surfaces in agentic AI. It cited the breadth of the supply chain exposure.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">By that point, at least seven confirmed high or critical-severity CVEs spanned major MCP-integrated platforms, including MCP Inspector, LiteLLM, Cursor IDE, LibreChat, and Windsurf. More were under active tracking.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Researchers surveying the MCP lifecycle catalogued the recurring failures, and none of them requires a novel attack:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Installer spoofing<\/strong>, where malicious packages enter during build or install<\/li>\n\n\n\n<li><strong>Name collision<\/strong>, where an attacker impersonates a trusted server using a similar name<\/li>\n\n\n\n<li><strong>No auth handshake<\/strong>, where clients connect to unauthenticated or rogue servers<\/li>\n\n\n\n<li><strong>Tool poisoning<\/strong>, where malicious metadata steers model behaviour<\/li>\n\n\n\n<li><strong>Credential theft<\/strong>, where secrets leak through completions or tool output<\/li>\n\n\n\n<li><strong>Sandbox escape<\/strong>, where a tool reaches the host operating system<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Exposure is often self-inflicted. Binding a local MCP server to 0.0.0.0 during testing publishes its context endpoint to the whole network. That is the same mistake that put tens of thousands of AI agents on the public internet this year.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Why_the_Secret_Language_Worry_Is_Misdirected\"><\/span>Why the Secret Language Worry Is Misdirected<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The popular fear runs like this. AI will write code and swap messages in a form no human can read. When something breaks, nobody can repair it.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The instinct is sound and the timing is wrong. Agents today communicate in JSON-RPC over HTTP. Every message is readable. Every A2A interaction is an ordinary API call. Nothing is encrypted beyond normal transport security, and nothing is obfuscated.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">What is actually missing is not readability. It is retention, correlation, and the requirement to keep any of it. An organization can read a single agent message and still have no record of which agent called which tool, under whose identity, three weeks ago.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">That distinction matters because the two problems have different fixes. A future language problem would need new standards. A present logging problem needs a decision this quarter, which is the sort of gap covered in <a href=\"https:\/\/threatcop.com\/blog\/enterprise-security-platforms-for-ciso-visibility\/\">visibility across enterprise security platforms<\/a>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"The_Gateway_Is_the_Chokepoint\"><\/span>The Gateway Is the Chokepoint<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Every A2A interaction is an API call. That single fact decides where to enforce control.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">An API gateway already sits in this path and already does authentication, rate limiting, and logging. Therefore, it is the natural enforcement point for agent traffic, rather than something new bolted alongside it.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">At the gateway, you can require authentication on every agent request and restrict MCP endpoints to approved agents. Message content can be logged for compliance review, and sensitive data blocked before it leaves. Agent Card URLs can also be rewritten, so peers resolve through you rather than directly.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For authorization itself, the Cloud Security Alliance recommends a separate hardened service with its own access controls, audit logging, and key management, kept isolated from the systems it governs. Policy-as-code engines such as Open Policy Agent or Cedar do the evaluation, with policies version-controlled and deployed like any other code.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"A_Control_Checklist_for_Agent-to-Agent_Traffic\"><\/span>A Control Checklist for Agent-to-Agent Traffic<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Work through these before agents start delegating to each other in production.<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Require mutual authentication<\/strong> between agents, with TLS validation rather than a shared key.<\/li>\n\n\n\n<li><strong>Verify Agent Cards cryptographically<\/strong>, and treat an unsigned card as an untrusted peer.<\/li>\n\n\n\n<li><strong>Scope OAuth tokens narrowly<\/strong>, using OAuth 2.1 with PKCE, and revoke on session close.<\/li>\n\n\n\n<li><strong>Log every agent-to-agent and agent-to-tool call<\/strong>, including the identity used, and retain it.<\/li>\n\n\n\n<li><strong>Validate tool outputs before they reach the model<\/strong>, because the reference SDK does not.<\/li>\n\n\n\n<li><strong>Pin and sign MCP servers<\/strong>, with SBOMs and reproducible builds against installer spoofing.<\/li>\n\n\n\n<li><strong>Never bind a server to 0.0.0.0<\/strong> unless exposure is the deliberate intent.<\/li>\n\n\n\n<li><strong>Sandbox tools<\/strong>, with syscall filters or container hardening against escape.<\/li>\n\n\n\n<li><strong>Map controls to a framework<\/strong> your auditor accepts, such as the <a href=\"https:\/\/genai.owasp.org\/resource\/owasp-top-10-for-agentic-applications-for-2026\/\" target=\"_blank\" rel=\"nofollow noopener\">OWASP Top 10 for Agentic Applications<\/a> or the CSA AI Controls Matrix.<\/li>\n<\/ol>\n\n\n\n<p class=\"wp-block-paragraph\">Item 4 is the one that answers the audit trail concern directly. Nobody will mandate it for you.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"What_Humans_Still_Have_to_Decide\"><\/span>What Humans Still Have to Decide<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Protocols do not choose which agents may talk to each other. People do, usually during an integration sprint, often by accepting a default.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Three decisions stay human. Which peers an agent may discover and trust. What data may cross an agent boundary at all. And who gets told when an agent starts calling something new.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Those choices are made by developers and integration owners rather than by a security team reviewing a design document afterwards. So the training that matters is narrow and role-specific. What does an Agent Card assert? What does a token scope grant? And why is an unsigned peer hostile until proven otherwise, rather than merely unverified?<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Threatcop&#8217;s TLMS delivers that as role-based content rather than one shared AI module, so the people wiring agents together get the scenarios they will actually meet. Programme design for this sits in <a href=\"https:\/\/threatcop.com\/blog\/role-based-security-awareness-training\/\">role-based training that matches job function<\/a>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Start_With_the_Log_You_Do_Not_Have\"><\/span>Start With the Log You Do Not Have<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Ask one question of whatever agent infrastructure you already run. Can you show which agent called which tool, under which identity, on a given day last month?<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Most teams cannot, and that answer is the whole problem stated plainly. It is also fixable this quarter, at the gateway, without waiting for a protocol to require it.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Then decide who is allowed to connect an agent to a new peer, and <a href=\"https:\/\/threatcop.com\/people-security-management\">make sure those people know what they are approving<\/a> before the integration ships rather than after.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Frequently_Asked_Questions\"><\/span>Frequently Asked Questions<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\t\t<div class=\"sp-easy-accordion-block sp-eab-regular-accordion alignwide\"\n\t\t\t\t>\n\t\t\t<div class=\"sp-eab-wrapper sp-eab-vertical-accordion sp-eab-23d82887efe6\">\n\t\t\t\t\t\t\t\t<div class='sp-eab-accordion sp-eab-mode-vertical sp-eab-vertical-one sp-d-flex' data-accordion-settings=\"{&quot;mode&quot;:&quot;vertical&quot;,&quot;activeEvent&quot;:&quot;click&quot;,&quot;defaultAccordionOpen&quot;:&quot;first-item&quot;,&quot;selectedItemOpen&quot;:0,&quot;openMultiItemAtaTime&quot;:false,&quot;scrollToTopOnLoad&quot;:false,&quot;scrollToTopOnClick&quot;:false,&quot;accordionItemToUrl&quot;:false,&quot;animationEffect&quot;:false,&quot;applyAccessibility&quot;:true}\">\n        \t    \t\n\t\t\t<div\n\t\t\t\tid =\"sp-eab-item-04f208bed1ff\"\n\t\t\t\tclass=\"sp-eab-accordion-item eab-item-87efe6\"\n\t\t\t\t\t\t\t>\n\t\t\t\t<div class=\"sp-eab-accordion-item-wrapper\">\n\t\t\t\t\t\t\t\t<h3 class='sp-eab-accordion-heading sp-d-flex sp-align-center eab-heading-87efe6'\n\t\t\t\t\t\t>\n\t\t\t\t<span class='sp-eab-accordion-header-wrapper sp-d-flex sp-align-center eab-icon-position-end'>\n\t\t\t\t\t<span class='sp-eab-accordion-header-start sp-d-flex sp-justify-left sp-align-center'>\n\t\t\t\t\t\t<span class='sp-eab-title-subtitle-wrapper sp-d-flex'>\n\t\t\t\t\t\t\t<span class='sp-eab-accordion-title-wrapper sp-d-flex sp-align-center'>\n\t\t\t\t\t\t\t\t<span class='sp-eab-accordion-title-text'>\n\t\t\t\t\t\t\t\t\tWhat is AI-to-AI communication?\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<span class='sp-eab-accordion-header-end eab-icon-animated'>\n\t\t\t\t\t\t\t\t\t\t\t\t<span class='sp-eab-expand-collapse-icon sp-d-block'>\n\t\t\t\t\t\t\t<i class='sp-eab-expand-icon eab-icon-angle-down-solid'><\/i>\n\t\t\t\t\t\t\t<i class='sp-eab-collapse-icon eab-icon-angle-up-solid'><\/i>\n\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t<\/span>\n\t\t\t<\/h3>\n\t\t\t\t\t\t\t<!-- accordion body -->\n\t\t\t\t\t<div class='sp-eab-accordion-content eab-content-87efe6'>\n\t\t\t\t\t\t\t\t\t\t\t\t<div class='sp-eab-accordion-content-wrapper'>\n\t\t\t\t\t\t\t<div class='sp-eab-accordion-body'>\n\t\t\t    \t\t\t\t\n\n<p class=\"wp-block-paragraph\">AI-to-AI communication is the exchange of tasks, context, and results between autonomous AI systems without a human in each step. In practice it runs over two open protocols. The Model Context Protocol connects an agent to tools and data. Agent2Agent connects agents to one another so a planning agent can delegate to a specialist without exposing its own tools or memory.<\/p>\n\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\n\n\t\t\t<div\n\t\t\t\tid =\"sp-eab-item-4912decb1883\"\n\t\t\t\tclass=\"sp-eab-accordion-item eab-item-87efe6\"\n\t\t\t\t\t\t\t>\n\t\t\t\t<div class=\"sp-eab-accordion-item-wrapper\">\n\t\t\t\t\t\t\t\t<h3 class='sp-eab-accordion-heading sp-d-flex sp-align-center eab-heading-87efe6'\n\t\t\t\t\t\t>\n\t\t\t\t<span class='sp-eab-accordion-header-wrapper sp-d-flex sp-align-center eab-icon-position-end'>\n\t\t\t\t\t<span class='sp-eab-accordion-header-start sp-d-flex sp-justify-left sp-align-center'>\n\t\t\t\t\t\t<span class='sp-eab-title-subtitle-wrapper sp-d-flex'>\n\t\t\t\t\t\t\t<span class='sp-eab-accordion-title-wrapper sp-d-flex sp-align-center'>\n\t\t\t\t\t\t\t\t<span class='sp-eab-accordion-title-text'>\n\t\t\t\t\t\t\t\t\tWhat is the difference between MCP and A2A?\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<span class='sp-eab-accordion-header-end eab-icon-animated'>\n\t\t\t\t\t\t\t\t\t\t\t\t<span class='sp-eab-expand-collapse-icon sp-d-block'>\n\t\t\t\t\t\t\t<i class='sp-eab-expand-icon eab-icon-angle-down-solid'><\/i>\n\t\t\t\t\t\t\t<i class='sp-eab-collapse-icon eab-icon-angle-up-solid'><\/i>\n\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t<\/span>\n\t\t\t<\/h3>\n\t\t\t\t\t\t\t<!-- accordion body -->\n\t\t\t\t\t<div class='sp-eab-accordion-content eab-content-87efe6'>\n\t\t\t\t\t\t\t\t\t\t\t\t<div class='sp-eab-accordion-content-wrapper'>\n\t\t\t\t\t\t\t<div class='sp-eab-accordion-body'>\n\t\t\t    \t\t\t\t\n\n<p class=\"wp-block-paragraph\">MCP is vertical and connects an agent to tools, data sources, and APIs over JSON-RPC 2.0. A2A is horizontal and connects agents to each other over HTTP, JSON-RPC, gRPC, or Server-Sent Events. Their threat models differ accordingly: MCP attacks concentrate at the tool boundary, while A2A attacks target agent identity and trust across the network.<\/p>\n\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\n\n\t\t\t<div\n\t\t\t\tid =\"sp-eab-item-ebf399c121eb\"\n\t\t\t\tclass=\"sp-eab-accordion-item eab-item-87efe6\"\n\t\t\t\t\t\t\t>\n\t\t\t\t<div class=\"sp-eab-accordion-item-wrapper\">\n\t\t\t\t\t\t\t\t<h3 class='sp-eab-accordion-heading sp-d-flex sp-align-center eab-heading-87efe6'\n\t\t\t\t\t\t>\n\t\t\t\t<span class='sp-eab-accordion-header-wrapper sp-d-flex sp-align-center eab-icon-position-end'>\n\t\t\t\t\t<span class='sp-eab-accordion-header-start sp-d-flex sp-justify-left sp-align-center'>\n\t\t\t\t\t\t<span class='sp-eab-title-subtitle-wrapper sp-d-flex'>\n\t\t\t\t\t\t\t<span class='sp-eab-accordion-title-wrapper sp-d-flex sp-align-center'>\n\t\t\t\t\t\t\t\t<span class='sp-eab-accordion-title-text'>\n\t\t\t\t\t\t\t\t\tDo AI agents keep an audit trail of what they do?\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<span class='sp-eab-accordion-header-end eab-icon-animated'>\n\t\t\t\t\t\t\t\t\t\t\t\t<span class='sp-eab-expand-collapse-icon sp-d-block'>\n\t\t\t\t\t\t\t<i class='sp-eab-expand-icon eab-icon-angle-down-solid'><\/i>\n\t\t\t\t\t\t\t<i class='sp-eab-collapse-icon eab-icon-angle-up-solid'><\/i>\n\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t<\/span>\n\t\t\t<\/h3>\n\t\t\t\t\t\t\t<!-- accordion body -->\n\t\t\t\t\t<div class='sp-eab-accordion-content eab-content-87efe6'>\n\t\t\t\t\t\t\t\t\t\t\t\t<div class='sp-eab-accordion-content-wrapper'>\n\t\t\t\t\t\t\t<div class='sp-eab-accordion-body'>\n\t\t\t    \t\t\t\t\n\n<p class=\"wp-block-paragraph\">Not by default. MCP does not mandate audit trails, and it also lacks credential revocation on session close and consent gates for sensitive tools. Any record of which agent called which tool, under which identity, comes from logging an organization chooses to implement, most practically at an API gateway sitting in the agent traffic path.<\/p>\n\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\n\n\t\t\t<div\n\t\t\t\tid =\"sp-eab-item-cfaef437a686\"\n\t\t\t\tclass=\"sp-eab-accordion-item eab-item-87efe6\"\n\t\t\t\t\t\t\t>\n\t\t\t\t<div class=\"sp-eab-accordion-item-wrapper\">\n\t\t\t\t\t\t\t\t<h3 class='sp-eab-accordion-heading sp-d-flex sp-align-center eab-heading-87efe6'\n\t\t\t\t\t\t>\n\t\t\t\t<span class='sp-eab-accordion-header-wrapper sp-d-flex sp-align-center eab-icon-position-end'>\n\t\t\t\t\t<span class='sp-eab-accordion-header-start sp-d-flex sp-justify-left sp-align-center'>\n\t\t\t\t\t\t<span class='sp-eab-title-subtitle-wrapper sp-d-flex'>\n\t\t\t\t\t\t\t<span class='sp-eab-accordion-title-wrapper sp-d-flex sp-align-center'>\n\t\t\t\t\t\t\t\t<span class='sp-eab-accordion-title-text'>\n\t\t\t\t\t\t\t\t\tWill AI agents invent their own language humans cannot read?\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<span class='sp-eab-accordion-header-end eab-icon-animated'>\n\t\t\t\t\t\t\t\t\t\t\t\t<span class='sp-eab-expand-collapse-icon sp-d-block'>\n\t\t\t\t\t\t\t<i class='sp-eab-expand-icon eab-icon-angle-down-solid'><\/i>\n\t\t\t\t\t\t\t<i class='sp-eab-collapse-icon eab-icon-angle-up-solid'><\/i>\n\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t<\/span>\n\t\t\t<\/h3>\n\t\t\t\t\t\t\t<!-- accordion body -->\n\t\t\t\t\t<div class='sp-eab-accordion-content eab-content-87efe6'>\n\t\t\t\t\t\t\t\t\t\t\t\t<div class='sp-eab-accordion-content-wrapper'>\n\t\t\t\t\t\t\t<div class='sp-eab-accordion-body'>\n\t\t\t    \t\t\t\t\n\n<p class=\"wp-block-paragraph\">Agents today communicate in JSON-RPC over HTTP, and every message is human-readable. The practical gap is not readability but retention and correlation: organizations frequently keep no durable record linking agent actions to identities over time. That is a logging decision available now, rather than a standards problem waiting on future protocols.<\/p>\n\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\n\n\t\t\t<div\n\t\t\t\tid =\"sp-eab-item-7cf780317221\"\n\t\t\t\tclass=\"sp-eab-accordion-item eab-item-87efe6\"\n\t\t\t\t\t\t\t>\n\t\t\t\t<div class=\"sp-eab-accordion-item-wrapper\">\n\t\t\t\t\t\t\t\t<h3 class='sp-eab-accordion-heading sp-d-flex sp-align-center eab-heading-87efe6'\n\t\t\t\t\t\t>\n\t\t\t\t<span class='sp-eab-accordion-header-wrapper sp-d-flex sp-align-center eab-icon-position-end'>\n\t\t\t\t\t<span class='sp-eab-accordion-header-start sp-d-flex sp-justify-left sp-align-center'>\n\t\t\t\t\t\t<span class='sp-eab-title-subtitle-wrapper sp-d-flex'>\n\t\t\t\t\t\t\t<span class='sp-eab-accordion-title-wrapper sp-d-flex sp-align-center'>\n\t\t\t\t\t\t\t\t<span class='sp-eab-accordion-title-text'>\n\t\t\t\t\t\t\t\t\tHow do you secure agent-to-agent communication?\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<span class='sp-eab-accordion-header-end eab-icon-animated'>\n\t\t\t\t\t\t\t\t\t\t\t\t<span class='sp-eab-expand-collapse-icon sp-d-block'>\n\t\t\t\t\t\t\t<i class='sp-eab-expand-icon eab-icon-angle-down-solid'><\/i>\n\t\t\t\t\t\t\t<i class='sp-eab-collapse-icon eab-icon-angle-up-solid'><\/i>\n\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t<\/span>\n\t\t\t<\/h3>\n\t\t\t\t\t\t\t<!-- accordion body -->\n\t\t\t\t\t<div class='sp-eab-accordion-content eab-content-87efe6'>\n\t\t\t\t\t\t\t\t\t\t\t\t<div class='sp-eab-accordion-content-wrapper'>\n\t\t\t\t\t\t\t<div class='sp-eab-accordion-body'>\n\t\t\t    \t\t\t\t\n\n<p class=\"wp-block-paragraph\">Enforce at the API gateway, since every A2A interaction is an API call. Require mutual authentication between peers. Verify Agent Cards cryptographically. Scope OAuth tokens narrowly and revoke them on session close. Log every call with the identity used. Validate tool outputs before they reach the model, and restrict MCP endpoints to authorized agents only.<\/p>\n\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>AI-to-AI communication already runs on MCP and A2A, and neither mandates an audit trail. See how each fails, and where to enforce control on agent traffic.<\/p>\n","protected":false},"author":27,"featured_media":15386,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[424],"tags":[],"class_list":["post-15369","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-cybersecurity"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>AI-to-AI Communication Risks: MCP and A2A Explained<\/title>\n<meta name=\"description\" content=\"AI-to-AI communication already runs on MCP and A2A, and neither mandates an audit trail. 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