Lightspeed - Filter Agent

In a 100Gbps network, the agent introduces less than 1 microsecond of latency. 2. Semantic Pre-processing for LLMs One of the most expensive operations in 2025 is feeding an LLM garbage. Log files, heartbeats, duplicate alerts, and malformed JSON cost API credits and GPU cycles.

The Lightspeed Filter Agent is not a product you notice when it works. It is an anti-product. You notice it only when it is missing —when your AI is slow, your trades are late, and your logs are a swamp.

It doesn't store your sensitive data. (Stateless) It doesn't require a reboot. (Hot-swappable firmware) It doesn't get tired. (Deterministic latency) lightspeed filter agent

If the downstream database starts rejecting a certain packet pattern, the agent doesn't wait for a human to update the rules. It updates its own Bloom filters in real-time, blacklisting that pattern instantly. It learns at wire speed. High-Frequency Trading (HFT) Exchanges generate torrents of market data. An HFT firm doesn’t care about the price of soybeans in Osaka if they trade only NASDAQ futures. The Lightspeed Agent filters out every irrelevant ticker symbol at the hardware level, ensuring the trading algorithm only sees the 50 stocks it actually trades. Latency saved: ~4 microseconds. Profit gained: Millions.

Every millisecond of latency can mean a lost billion-dollar trade. Every irrelevant token fed to a Large Language Model (LLM) burns money and slows response. Every malicious packet that reaches a core server is a disaster waiting to happen. In a 100Gbps network, the agent introduces less

In a world where data volume doubles every two years, you cannot keep buying bigger servers. You need to stop feeding the monster.

Unlike traditional filters that buffer packets to inspect them (adding latency), the Lightspeed Agent uses and hardware acceleration (FPGAs/DPUs) to make binary keep/destroy decisions on the fly. The Three Pillars of Lightspeed Filtration 1. Zero-Drop, Zero-Delay Standard content filters work on a "store and forward" model. They hold the data, analyze it, then send it. The Lightspeed Agent works on a "cut-through" model. It analyzes the header and the first few bytes of the payload while the rest of the packet is still in transit. By the time the last bit arrives, the agent has already decided to route it to the void or the destination. Log files, heartbeats, duplicate alerts, and malformed JSON

Security teams are drowning in false positives. A Lightspeed Filter Agent can be trained to recognize the "shape" of a true intrusion (rapid lateral movement, beaconing to an odd port) versus the "shape" of a routine admin script. It discards the benign noise before it ever hits the Security Operations Center (SOC), reducing alert fatigue by 95%. The "Good" Feature: Why You Need It The best feature of the Lightspeed Filter Agent is what it doesn't do.

In a 100Gbps network, the agent introduces less than 1 microsecond of latency. 2. Semantic Pre-processing for LLMs One of the most expensive operations in 2025 is feeding an LLM garbage. Log files, heartbeats, duplicate alerts, and malformed JSON cost API credits and GPU cycles.

The Lightspeed Filter Agent is not a product you notice when it works. It is an anti-product. You notice it only when it is missing —when your AI is slow, your trades are late, and your logs are a swamp.

It doesn't store your sensitive data. (Stateless) It doesn't require a reboot. (Hot-swappable firmware) It doesn't get tired. (Deterministic latency)

If the downstream database starts rejecting a certain packet pattern, the agent doesn't wait for a human to update the rules. It updates its own Bloom filters in real-time, blacklisting that pattern instantly. It learns at wire speed. High-Frequency Trading (HFT) Exchanges generate torrents of market data. An HFT firm doesn’t care about the price of soybeans in Osaka if they trade only NASDAQ futures. The Lightspeed Agent filters out every irrelevant ticker symbol at the hardware level, ensuring the trading algorithm only sees the 50 stocks it actually trades. Latency saved: ~4 microseconds. Profit gained: Millions.

Every millisecond of latency can mean a lost billion-dollar trade. Every irrelevant token fed to a Large Language Model (LLM) burns money and slows response. Every malicious packet that reaches a core server is a disaster waiting to happen.

In a world where data volume doubles every two years, you cannot keep buying bigger servers. You need to stop feeding the monster.

Unlike traditional filters that buffer packets to inspect them (adding latency), the Lightspeed Agent uses and hardware acceleration (FPGAs/DPUs) to make binary keep/destroy decisions on the fly. The Three Pillars of Lightspeed Filtration 1. Zero-Drop, Zero-Delay Standard content filters work on a "store and forward" model. They hold the data, analyze it, then send it. The Lightspeed Agent works on a "cut-through" model. It analyzes the header and the first few bytes of the payload while the rest of the packet is still in transit. By the time the last bit arrives, the agent has already decided to route it to the void or the destination.

Security teams are drowning in false positives. A Lightspeed Filter Agent can be trained to recognize the "shape" of a true intrusion (rapid lateral movement, beaconing to an odd port) versus the "shape" of a routine admin script. It discards the benign noise before it ever hits the Security Operations Center (SOC), reducing alert fatigue by 95%. The "Good" Feature: Why You Need It The best feature of the Lightspeed Filter Agent is what it doesn't do.