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
Evaluates your encryption workload — file size, network conditions, CPU pressure, throughput SLA — and recommends the cipher configuration best suited to it.
Particularly relevant for streaming media, 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).
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 same deterministic recommendation engine the API runs.
{ "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
- Published cipher performance characteristics (OpenSSL speed, libsodium docs) encoded as per-device-class throughput tables in the engine
- NIST SP 800-38D (GCM mode) and RFC 8439 (ChaCha20-Poly1305) for mode selection rules
- Hardware acceleration availability per device class (AES-NI, ARM Cryptography Extension)
- Planned — not yet connected: live benchmark ingestion from your own AKRUM Benchmark runs
All sources are public and updated as new chip releases and library versions ship.
What does "dynamic cipher tuning" actually do?
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It picks cipher, chunk size, and entropy source for each stream based on workload profile and observed performance. Instead of one static configuration, the agent adapts to the codec, bitrate, and latency target you actually care about.
How does it keep latency low for real-time and streaming workloads?
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By sizing chunks to the codec's natural frame boundary, pre-warming entropy buffers, and choosing GCM modes that pipeline well on the host CPU. The result is consistent encryption overhead well within real-time and live streaming budgets.
Does optimizing for speed reduce security?
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No. The agent only chooses between configurations that meet AKRUM's security floor — AES-GCM family, keys derived from the Cellular Automata entropy engine mixed with the OS CSPRNG, modern TLS. Optimization happens inside that safe envelope, so you trade off implementation cost, not cryptographic strength.
Which streaming protocols and workloads are supported?
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HLS, DASH, WebRTC media flows, low-latency live streams, and high-throughput batch pipelines that look like streams to the network. Anything that ingests chunked data over TLS can be tuned by the agent through its REST endpoint.
Is there a free sandbox to test it?
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Yes. The sandbox lets you describe a workload — codec, bitrate, latency target — and see the agent's recommended cipher, chunk size, and entropy source plus the expected overhead. Free covers exploration before you ship a production key.
Ready to integrate?
Get an API key and start calling AI Encryption Optimization Agent in minutes.