Prodigii Cybernetics™
What if you could defend at attack speed?What if you could adapt as fast as they do?
Agentic attacks won't wait for your current AI technology to catch up.
You need to get faster, cheaper, smarter, and more adaptable.
Prodigii adds a fundamentally new AI technology to the stack you already have.
01 / The requirements have changed
A new threat. A new performance envelope.
Agentic attacks create a step change in two requirements for cybersecurity defense.
Operate at machine speed.
Defense must detect and respond at the speed of the attack.
Adapt as the attacker changes.
Defense must update its understanding and response as the attacker adapts.
Your existing technology remains valuable. The technology that was sufficient for the previous threat environment will not meet the performance requirements of agentic cybersecurity. The requirement changed.
02 / Performance
Different requirements require different technology.
Your technology already detects threats and analyzes behavior. It was fast enough for the previous use case. It is not fast enough for the new machine-speed requirement.
| Existing AI technology | Prodigii technology |
|---|---|
| Token-based | Tokenless |
| Computationally intensive | 1,000× more efficient |
| Too slow for machine-speed detection | Built for machine-speed detection |
| Token economics drive costs ever higher | Runs on a standard server. Fixed cost. |
| Probabilistic output (hallucinations) | Precise output — Bayesian mechanics |
Prodigii adds different technology for a performance requirement the existing technology cannot meet. Your existing technology stays in place.
03 / Adaptability
It's not enough to detect fast.
You have to adapt every bit as fast.
Agentic attackers don't just operate at machine speed. They adapt at machine speed.
Active Inference through Bayesian reasoningProdigii uses Active Inference through Bayesian reasoning to update its beliefs on the fly as behavior changes.
- 01
Read
Read the current behavior patterns.
- 02
Interpret
Interpret the behavior patterns.
- 03
Respond
Respond to the behavior patterns.
- 04
Observe change
See how the behavior patterns change.
- 05
Update beliefs
Update beliefs from the new evidence.
↺ Repeat at speed
04 / What this means for cybersecurity
Keep what works.
Add the capability that is missing.
Your existing cybersecurity investments are still valuable and should be part of the architecture.
Your existing AI technology
Behavioral analysis, correlation, anomaly detection, analytics, automation, and response already do sophisticated work.
A different AI technology
Tokenless technology delivers the performance required for machine-speed detection.
Active Inference through Bayesian reasoning delivers the adaptability required to keep pace as behavior changes.
Keep the technology that already works. Add the new technology needed for the performance and adaptability requirements it cannot meet.
05 / Implementation
What follows from building it this way.
These are not optimizations layered onto a conventional AI system. They are properties the platform inherits from its engine.
Tokenless
The engine consumes no tokens, so there are no per-request token costs.
Adaptable
Updates its beliefs continuously as behavior changes.
Edge-deployable
In Prodigii’s own lab, the inference engine runs on a single mini PC alongside other workloads. No data center is required.
Sub-second
Planning latency on the decision problems the platform handles today.
No retraining
It learns from new observations continuously, so there is no retraining run to pay for.
06 / See it running
See it running.
See Prodigii Cybernetics operating against these performance and adaptability requirements.