10 Ways to Maintain a Secure Cloud Print Environment

Model Context Protocol security Quantum-resistant encryption AI infrastructure protection Zero-trust AI architecture
Divyansh Ingle
Divyansh Ingle

Head of Engineering

 
February 11, 2026 11 min read

TL;DR

  • This article covers ten essential strategies for securing cloud printing within modern AI ecosystems, specifically focusing on protecting Model Context Protocol (mcp) deployments. It details how to implement quantum-resistant encryption, zero-trust architectures, and advanced threat detection to prevent tool poisoning and data leaks. Readers will learn to bridge the gap between legacy print hardware and future-proof AI infrastructure security.

The basics of Matrix and why it matters

Ever wonder why every messaging app feels like a walled garden where you're trapped unless all your friends download the same 2GB app? Matrix is basically trying to do for chat what email did for well, email—making it so it doesn't matter which provider you use as long as the protocol is the same.

At its core, Matrix is an open standard for decentralized, real-time communication. Most of us are used to the "old school" way where a central server (think Slack or Discord) owns all your data and if their api goes down, you're basically toast. Matrix flips this by using a decentralized architecture.

  • Decentralized Homeservers: Instead of one big boss, you have "homeservers." You can host your own or use a public one, but you still own your account and data.
  • Everything is an Event: In Matrix, every message, file, or room state change is an "event." These are signed and synced across all servers participating in a room.
  • Interoperability: It’s built to bridge different apps. According to Wikipedia), it aims to let users on different service providers talk seamlessly, just like how a Gmail user can email a Yahoo user.

Diagram 1

Why does this actually matter for developers and technical teams? It’s about "digital sovereignty"—the idea that you should control your own digital footprint without vendor lock-in.

Because it's an open standard, you aren't stuck with one company's pricing or weird privacy policy changes. This is a huge deal for high-stakes industries. For instance, the French Government uses a Matrix-based tool called Tchap for internal communications, and the German military (Bundeswehr) uses BwMessenger. Even healthcare providers in Germany use it to share sensitive patient data because they can't risk a third-party ai or corporation snooping on those files. (Germany's Patient Data Protection Act: All You Need to Know)

Next up, we’re going to dive into how this protocol actually keeps things private with its encryption layers.

Deep dive into the cryptography of Matrix

Ever tried explaining to your parents why their "secure" group chat isn't actually private just because there's a little lock icon? It's usually because most apps struggle to balance real security with the messiness of having fifty people in one chat room. Matrix handles this by splitting the heavy lifting between two different cryptographic ratchets: Olm and Megolm.

For 1-to-1 chats, Matrix uses the Olm implementation of the Double Ratchet Algorithm. If that sounds familiar, it's because it's the same logic used by Signal. It ensures that even if someone steals a session key today, they can't go back and decrypt your messages from last week (that's forward secrecy).

But Olm is a bit of a resource hog for big groups. Imagine sending a message to a room with 5,000 people; your phone would have to encrypt that message 5,000 separate times. That's where Megolm comes in. It uses a "group session" model where the sender shares a single set of keys with everyone in the room once, and then uses a faster ratchet to encrypt the actual stream of messages.

Diagram 2

According to the Matrix.org documentation, the protocol has shifted toward using the vodozemac rust library as the reference implementation. It's way more performant than the old libolm and has been audited to make sure those ratchets don't have any nasty holes.

In most systems, "you" are just a username. In Matrix, identity is tied to the specific hardware you're holding. Each device generates its own Ed25519 fingerprint key pair. This is basically the device's ID card. If you log in on a new laptop, that's a new device with a new fingerprint.

Then you have Curve25519 identity keys. These are used to actually start those encrypted sessions we talked about earlier. The private part of these keys never leaves your phone or computer. The public part gets signed by your fingerprint key and uploaded so others know it's really you.

"Critically, the client must create a new set of keys for each 'device'... Never share keys between different users." — Matrix Encryption Guide

This device-centric model is why you sometimes see those "unverified session" warnings. It's a feature, not a bug. It prevents a malicious homeserver from secretly adding a "ghost" device to your account to snoop on your chats. In high-stakes industries like healthcare, this granular verification is the only thing stopping a data breach from being a total catastrophe.

  • Retail: A large chain uses Matrix to coordinate floor staff. Because Megolm handles rotation periods, if a manager leaves the company, the "outbound" session is invalidated so they can't see new messages after they're gone.
  • Finance: Teams use cross-signing keys to verify each other's laptops before sharing sensitive trade data, ensuring no mitm (man-in-the-middle) can intercept the api calls.

Honestly, the way Matrix handles keys is a bit of a headache for developers at first, but it's the only way to get true digital sovereignty. Next, we’re going to look at how users actually authenticate and prove who they are.

Authentication and user security in a federated world

Ever wonder how you actually prove you are who you say you are when there isn't one "big boss" server running the show? In a federated setup like Matrix, authentication is a bit of a wild west situation—but with better sheriffs.

Traditional apps like Slack own your identity entirely. If they delete your account, you're gone. In Matrix, your homeserver (the one you chose or hosted) manages your account, but it has to play nice with everyone else. When you log in, the server gives you an access_token.

As mentioned in the official Matrix technical docs, Matrix treats every login as a new "device" with its own unique device_id. This is huge because it means your identity isn't just a password; it’s tied to the physical hardware you're using. If a malicious homeserver tries to swap your keys or add a "fake" device to snoop, the protocol is designed to throw red flags.

Diagram 3

Since anyone can run a homeserver, what happens if you join a room hosted by someone shady? The protocol assumes the server might be compromised. According to the Matrix.org documentation, clients must verify that the user_id and device_id in the key object match the top-level map to prevent a server from replacing your friend's keys with its own.

  • Cross-signing: You verify your own new devices using an existing one. It creates a web of trust that doesn't rely on the server's word.
  • Social Login: Many teams integrate OIDC (OpenID Connect) or SAML (Security Assertion Markup Language) so employees can use their existing corporate login.
  • Binary Verification: You’ve probably seen those "Verify by emoji" prompts. That’s actually a SAS (Short Authentication String) flow—a way for two users to verify they are seeing the same data—to ensure no man-in-the-middle is messing with your api calls.

In high-stakes setups like Tchap, they don't just trust any server. They use strict federation rules. Similarly, Beeper—which recently became a foundation member—uses these same identity bridges to let you chat across different networks without giving up your master keys.

It’s a bit messy compared to a single login button, but it's the only way to keep your data private when you don't trust the middleman. Next, we’ll look at practical tips for developers to implement these security features correctly.

Common vulnerabilities and how to fix them

Look, no protocol is 100% bulletproof, and Matrix is no exception. Even with all those fancy math ratchets we talked about earlier, the real world has a way of breaking things—usually through the code people write to implement the spec rather than the spec itself.

Back in late 2022, things got a bit spicy when researchers found some serious holes in the main client-side libraries. According to Wikipedia#Security_audits), these vulnerabilities affected the matrix-js-sdk, matrix-ios-sdk, and several others. Specifically, these were implementation bugs related to key sharing and device verification that could have allowed a malicious server to snoop on encrypted messages.

The interesting part? The protocol itself was actually fine. The bugs were in how the clients handled keys and verified identities. It’s a classic "don't roll your own crypto" lesson, even for the pros.

  • Implementation Flaws: A malicious homeserver could potentially trick a client into sharing keys it shouldn't have.
  • The Fix: The Matrix team pushed out critical updates immediately. This is why keeping your client libraries like vodozemac updated isn't just a "good idea"—it's the only thing keeping your chats private.
  • Developer Tip: If you're building a client, always use the audited reference implementations mentioned in the Matrix.org technical docs instead of trying to manually handle the Olm/Megolm logic.

Another sneaky issue is the replay attack. This is where an attacker captures an encrypted message and sends it again later to confuse the system or trigger an action twice. Matrix handles this by using a message_index.

Imagine a retail manager sends a "clear the register" command via a bot. Without protection, a rogue server could just keep "replaying" that event.

  • Tracking Index: Clients have to remember the index of every decrypted event. If a message arrives with an index you've already seen for that session, you have to toss it out.
  • The Cache Trap: This gets tricky when you purge your local cache. If your app deletes its history to save space, it might "forget" it already saw index #42.
  • The Solution: As discussed in the external Matrix implementation guides, you should store the event_id and origin_server_ts alongside the index so you can tell if a "new" message is actually just a legitimate backfill from the server.

Diagram 4

In finance or healthcare, someone might realize they sent a sensitive file by mistake and hit "delete." On Matrix, this is a "redaction." But here's the kicker: because it's decentralized, a redaction is just a request.

If a client already downloaded and decrypted that message, the server can't reach into the user's phone and scrub the memory. Developers need to build clients that actually respect redaction events and wipe the local unencrypted cache immediately.

Honestly, security in a federated world is a game of cat and mouse. But once you nail these implementation details, you're ahead of 90% of the pack. Next, we’ll look at practical tips for developers to implement these security features correctly.

Developer tips for building secure Matrix apps

Building a secure Matrix app is kind of like building a house in a neighborhood with no fences—you have to make sure your own front door is solid because you can't control who moves in next door. Since anyone can run a homeserver, your client code is the only thing standing between a user and a malicious admin.

In a federated world, you can't just trust the server when it says, "Hey, this is Alice’s new laptop." You need cross-signing keys. This allows a user to verify their own new devices using an existing one, creating a "web of trust" that the homeserver can't mess with.

  • Interactive Verification (SAS): You’ve probably seen the "verify with emojis" thing. This uses a SAS flow. It’s a bit of a dance between two devices to ensure no man-in-the-middle is intercepting the api calls.
  • UI Cues: Don't just bury verification in settings. If a message comes from an unverified session, show a warning. In finance apps, this is the difference between a secure trade and a leaked secret.

Matrix doesn't actually encrypt files using the same ratchets as messages. Instead, you encrypt the file itself with AES-CTR before it ever touches the server. The decryption key is then tucked into the message event.

  1. Generate a random 256-bit AES key and a 64-bit IV.
  2. Encrypt the file locally.
  3. Upload the ciphertext to the homeserver’s media repo.
  4. Include the key and the file’s SHA-256 hash in the m.room.encrypted event content.

Here is a quick look at how that event might look:

{
  "file": {
    "url": "mxc://example.com/fileid",
    "key": {
      "kty": "oct",
      "key_ops": ["encrypt", "decrypt"],
      "k": "MTIzNDU2Nzg5MDEyMzQ1Ng",
      "alg": "A256CTR"
    },
    "hashes": {
      "sha256": "base64_encoded_hash"
    }
  }
}

In healthcare setups, this ensures that even if a server admin snoops in the media folder, they just see gibberish instead of a patient's x-ray. It’s a bit extra work for the developer, but it's the only way to keep things private.

Next, we’re going to wrap things up by looking at the future of the protocol and where it’s headed.

The future of Matrix security

So, where is this all going? Matrix isn't just sitting still with its current encryption; it's actually moving toward some pretty heavy-duty upgrades that'll make those massive group chats feel a lot snappier.

Right now, the big talk is about moving from Megolm to Messaging Layer Security (MLS). As mentioned in the Matrix.org documentation, Megolm was a huge step, but mls is the "industrial-grade" future. It handles group key changes way more efficiently, which is a life-saver for huge rooms in retail or finance where people join and leave constantly.

  • Massive Scalability: mls reduces the bandwidth needed for re-keying.
  • ai-Driven Security: We’re seeing more homeservers use ai for login analytics to spot weird api patterns before a breach happens.
  • Better UX: Future clients will likely hide the "ugly" parts of cross-signing, making it feel like a normal app.

Diagram 5

Honestly, whether you're building for healthcare data or just a private dev hangout, the protocol is getting tougher. It’s a bit of a learning curve, but the digital sovereignty you get is worth the headache. Just keep those libraries updated and don't roll your own crypto, okay?

Divyansh Ingle
Divyansh Ingle

Head of Engineering

 

AI and cybersecurity expert with 15-year large scale system engineering experience. Great hands-on engineering director.

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