AI Encryption Optimization Agent

Strong encryption without the latency tax. Dynamically tunes cipher mode, key size, and chunk size to your workload.

Overview

What it does

Continuously evaluates your encryption workload — file size, network conditions, CPU pressure, throughput SLA — and recommends or auto-applies the optimal cipher configuration in real time.

Particularly effective for streaming media, real-time financial messaging, and large medical imaging files where naive AES-256-GCM defaults add unacceptable latency. Switches modes intelligently (e.g., ChaCha20-Poly1305 on mobile, AES-256-GCM where AES-NI is available, chunked streaming for large blobs).

Returns a recommended config + an estimated latency/throughput delta. Optional: deploy the config directly via the AKRUM control plane.

How it works

A 4-step recommendation flow

Submit profile

POST workload profile (payload size, target throughput, device class, network type) to /v1/agents/encryption-optimization/recommend.

Simulate configs

Agent simulates ~12 candidate cipher configurations against your profile.

Score candidates

Scores each on latency, throughput, security level, and CPU cost.

Return best config

Returns the best config + the next two runner-up configs + projected metrics.

Sandbox

Try it live

Adjust workload parameters and run the simulated recommendation engine.

Inputs

Workload typeAverage payload sizeDevice classTarget throughput (Mbps)Security tier required

Response

{
  "recommended": {
    "cipher": "AES-256-GCM",
    "chunk_size_bytes": 16384,
    "key_size_bits": 256,
    "estimated_latency_ms_p50": 4.2,
    "estimated_throughput_mbps": 850,
    "rationale": "Balanced default: AES-256-GCM with 16 KB chunks on AES-NI-enabled servers."
  },
  "alternatives": [
    {
      "cipher": "AES-128-GCM",
      "chunk_size_bytes": 16384,
      "key_size_bits": 128,
      "estimated_latency_ms_p50": 3.1,
      "estimated_throughput_mbps": 980,
      "rationale": "30% lower latency when 128-bit security is sufficient."
    },
    {
      "cipher": "ChaCha20-Poly1305",
      "chunk_size_bytes": 32768,
      "key_size_bits": 256,
      "estimated_latency_ms_p50": 4.8,
      "estimated_throughput_mbps": 760,
      "rationale": "Non-AES-NI fallback with competitive throughput."
    }
  ],
  "evaluated_at": "2026-01-15T10:00:00.000Z"
}

Simulated response — no real inference is performed.

Data sources

Benchmarked against open performance data

OpenSSL speed benchmarks (publicly published per-platform numbers)
libsodium performance documentation
Linux kernel crypto API benchmarks
NIST SP 800-38D (GCM mode performance characteristics)
Cloud provider compute benchmarks (AWS Graviton, Azure, GCP public spec sheets)
Mobile hardware encryption acceleration specs (Apple Crypto, ARM Cryptography Extension)
Streaming protocol specifications (HLS, DASH, WebRTC, RTMP)

All sources are public. AKRUM re-benchmarks against new chip releases and library updates.

API reference

Schema

Field	Type	Required	Description
workload_type	enum(streaming_video\|real_time_trading\|medical_imaging\|iot_telemetry\|backup_batch)	yes	Category of the workload being optimized.
payload_size	enum(<1KB\|1-100KB\|100KB-10MB\|10MB-1GB\|>1GB)	yes	Typical or maximum payload size range.
device_class	enum(server_with_aesni\|server_no_aesni\|mobile_arm\|embedded)	yes	Hardware profile of the target device.
target_throughput_mbps	integer	yes	Desired throughput in megabits per second.
security_tier	enum(standard\|high\|government)	yes	Required security classification.
network_type	string	no	Optional network context (e.g. 5G, Wi-Fi, datacenter).

Ready to integrate?

Get an API key and start calling AI Encryption Optimization Agent in minutes.

Get an API key Request pricing