Promotional Content · Hyprfire · Labyrinth · Solution Brief
Why You Need to Update Your Defences
Your defences are too slow against agentic AI attacks. Most security architecture assumes an intruder who moves at a human pace. Agentic AI changes that pace: it runs attacks concurrently, enumerates, tests what it finds, and goes deeper without pausing between steps. An intruder's decision time between one step and the next goes to zero. Your defences have to answer at that new pace.
Signature Updates and Manual Triage Are Too Slow
Signature updates take too long. A signature turns up after somebody else has already been hit. Against an AI agent that varies its behaviour on each attempt, no update cadence closes that gap.
Manual alert triage is noisy and slow. A queue works when the queue moves faster than the attacker. A queue is also one thing at a time, and an agent is not. It probes in parallel and never waits. You are answering a concurrent attacker with a serial process, and all you have left is a record of what happened.
Complementary Capabilities to Counter Agentic AI Attacks
There are two capabilities that complement each other:
- Visibility of what is moving inside your network in real time, because that is where an agent does its work and it is the traffic almost nobody watches.
- High-confidence, genuine alerts you can prioritise without spending forty minutes proving them.
Hyprfire covers visibility. Labyrinth covers genuine alerts.
Hyprfire Watches the Traffic Itself
Hyprfire's Firebug is a managed network detection and response (NDR) service that watches the traffic between your systems, the east-west or lateral traffic. It uses statistical analysis, not a rulebook, to monitor that traffic. It does not require deep packet inspection and reads only metadata, so it works on encrypted traffic too. It baselines your environment within hours once set up, then flags what departs from that baseline. An AI agent moving laterally does not need to be recognised as a known threat. It only has to look unusual for your network.
Read the full article: Monitor Internal Network Traffic with Firebug, Including Encrypted Traffic
Labyrinth Makes the Network Answer Back
Labyrinth plants decoys across your network: machines that look like file servers, credentials that look valid, documents that look worth taking. They are indistinguishable from the real assets around them. No legitimate traffic has any reason to touch one. No scoring, no thresholds, just a high-signal, low-noise alert if one is touched. With decoys in place, the speed and thoroughness of an agent's reconnaissance become a liability to it.
Read the full article: When Faking It Produces High-Signal, Low-Noise Security Alerts
Why You Want Both Hyprfire and Labyrinth
Running both gives you two independent signals that push an alert straight to the top of the queue.
- Hyprfire tells you that something in your environment is behaving out of the ordinary across your internal network traffic.
- Labyrinth tells you that something just touched an asset only an intruder would touch, at a specific host, at a specific time.
The speed and thoroughness that make an autonomous AI agent hard to stop are the same qualities that walk it into a decoy and into the network record. These tools are not specific to AI. They work on human threats too: an insider accessing areas they shouldn't, or an intruder using stolen credentials to look around. A tripped decoy means activity where there should be none, and unusual traffic looks unusual whoever is generating it.
A Quick Word on the Standards
Detection obligations in Australia assume you can see inside your own environment.
- The ASD Information Security Manual calls for monitoring and event logging sufficient for malicious activity to be detected and investigated.
- Under the Notifiable Data Breaches scheme, an organisation must assess and report eligible breaches of personal information. Assessment starts with knowing an intrusion occurred.
- Entities covered by the Security of Critical Infrastructure Act carry duties to detect and respond to incidents, not only to prevent them.
None of these prescribe a product, so it is up to you to determine the best solution for your environment.
Where to Start
Ask how long an intruder could move inside your network before anything flagged it. If the answer is days, or you cannot say, that is the gap these two layers close.