Lure
by Helixarai
Competitors block. Helixar harvests.
Instead of terminating a detected threat session, Lure diverts it into a convincing fake backend. The attacker continues operating, believing they've succeeded. Helixar observes the full kill chain, uninterrupted, and every session exits as a detection rule candidate.
Diversion strategy
Redirect to convincing fake backend
Real system exposure
Zero production systems touched per session
Session exit
Full kill chain → detection rule candidate
Integrates with
Vigil · Shield · Nexus
The Limitation of Blocking
Blocking cuts the observation window short.
When a session is terminated at detection, you see only the opening of an attack pattern. You miss the attacker's full tool call sequence, their terminal objective, the evasion techniques they employ mid-session, and whether the operation is automated, semi-automated, or human-directed.
There's a second problem: blocking sends a signal. The attacker learns this endpoint has defences and modifies their approach on the next attempt. Each block teaches the adversary something. Lure inverts this dynamic entirely.
Block
Attack stopped. Attacker learns. Attack pattern incomplete. No intelligence harvested.
Observe
Attack continues on real systems. Risk of real damage while gathering data.
Lure
Attack diverted to fake surface. Full kill chain observed. Intelligence harvested. Real systems untouched.
Capabilities
Built to harvest, not just defend.
Seamless Session Capture
Suspicious sessions are silently redirected to the Lure surface. The attacker's agent continues operating, completely unaware it has left the real environment.
Convincing Fake Backend
Lure responds plausibly to all agent interactions, including fake credentials, synthetic data stores, and phantom APIs. The session reads as a real target throughout.
Full Attack Observation
Unlike early termination, Lure lets the attacker run their full operation on a contained surface. Intent, techniques, and objectives are captured without any real system exposure.
Evasion Awareness
Attackers who alter their approach mid-session are identified as a higher-risk class. The session is flagged accordingly and escalated for analyst review.
Detection Rule Harvesting
Every Lure session exits as a detection rule candidate. Complete behavioural sequences produce complete behavioural models. The intelligence library grows with every captured attack.
Session Archive
Full session transcripts are archived and cryptographically signed for forensic use. Every interaction and timing pattern preserved for analyst review.
Stop teaching attackers. Start learning from them.
Lure is in active development. Join the early access list to be first when it ships.
Get Early Access