Rosetta Cybersecurity Adapter
Compiled Physics for Defended Zones
The Cybersecurity adapter translates the Substrate's structural-margin reading into the forces governing AI-assisted attack pressure. Noisy telemetry becomes a deterministic stability score per defended zone, per tick.
SOC analysts see structural drift in the lookahead window where intervention is still cheap, before the engine returns an active intrusion verdict. The score is hash-bound, replay-deterministic, and reproducible across processes.
Two structural variables compute the score:
Λ Lambda: Attack Surface Pressure
The live load an attacker imposes on a defended zone.
The cyber
adapter aggregates this across the kill chain so that one severe
indicator drives the zone score.
Γ Gamma: Defense Posture
The structural buffer that segmentation, monitoring coverage, and detection latency produce. One collapsed defensive control drives the buffer for the entire defended zone.
The Latency of Signature Detection
Time is the fundamental constraint of pattern-matching defense. Current intrusion detection methodologies rely on prior observation to categorize malicious behavior. These classifiers require a known signature to trigger an alert, evaluating the network telemetry only after the perimeter has absorbed the attack.
Frontier models shrink the interval between novel vulnerability discovery and reproduction at scale. When an adversary deploys an undocumented exploit, the execution sequence bypasses historical threat feeds. The defender must absorb the initial breach to extract the signature required to halt subsequent intrusions.
This architecture creates a permanent structural deficit. Relying on historical patterns leaves the infrastructure exposed during the window between a zero-day event and a deployed classifier update. The security apparatus remains permanently synchronized to yesterday's attack surface.
Structural Zero-Day Early Warning
The KAIROS Substrate reads a signal that exists before a signature does. Per defended zone, per tick: the engine measures how much structural pressure the zone can still absorb before its weakest control collapses. The reading is computed from the telemetry's own geometry, available from the first tick of the first attack.
The cyber adapter treats the defended zone as a load-bearing structure: segmentation, monitoring coverage, and detection latency are the columns. The column carrying the highest live load against its rated capacity is the column that fails first, and the zone score collapses with it. The reading behaves like a stress meter on the weakest column, surfacing the moment the load exceeds what the column can hold.
The score lands in the SOC operator's queue before the intrusion verdict commits. Identical telemetry produces identical scores, hash-bound and reproducible across processes, so the same incident replayed six months later returns the same warning at the same tick. The deterministic envelope holds against zero-day events because the reading is computed on the defender's own structural posture.
- Evaluation Point
- Live telemetry, per defended zone, per tick
- Output
- Deterministic stability score per zone
- Warning Window
- Pre-breach structural drift
- Replay Guarantee
- Identical telemetry produces hash-identical scores
Four Zone Archetypes
Every defended surface reduces to a zone with a finite capacity to absorb structural pressure. The cyber adapter assigns each zone a Gamma margin and reads how fast attacker agency erodes it. Four archetypes cover the surfaces most intrusions cross.
Each archetype is one calibration of a single engine. The Gamma margins, Lambda mappings, and weak-link aggregation differ per surface; the physics stays identical.
Tested Against the Mythos Shape
The fixture corpus includes a Mythos-shaped sandbox-escape scenario. The sequence reflects the structural pattern of AI-assisted attacker behavior: privilege pressure rises first, segmentation collapses next, exfiltration arrives after.
Mythos Smoke Results
- Zones
- agent-sandbox, identity-plane, data-layer
- Active intrusion reached
- Tick 3 (before exfiltration jump)
- Gamma weak link
-
networkSegmentation - Exfiltration jump
- Tick 4 drives Lambda ≥ 0.90
- Detection latency clamp
- 7,200,000 ms (no reject)
The Read
Aggregating Gamma with critical_min traces the collapse
to networkSegmentation, not to the top-level defensePosture rollup. Aggregating Lambda with critical_max ensures
the exfiltration jump dominates the zone score even when other indicators
stay moderate.
Three Gates. Cyber Read.
Every proposed action passes through a layered gate chain. Any gate will reject an action that violates structural integrity.
State Gate
Action Gate
Hazard Gate
Intervention That Escalates
The adapter produces operator-facing recommendations from the engine's structural verdict. Recommendations reflect the stability margin, never bypass it.
Investigate Anomaly
Escalate Incident
Containment Review
RejectState, RejectBasinCollapse, or RejectParadox. Human review is required before any
further action.
Cryptographic Operator Authority
A SOC operator authorizing a non-standard containment carries the same cryptographic burden as a frontier model operator authorizing an out-of-policy action.
- Substrate signals
HUMAN_ESCALATIONand halts. - The operator reviews the rejection context, zone telemetry, and stability state.
- Authorization requires an RSA-PSS signed override token.
- The token binds to the specific evaluation request via SHA-256 digest.
- The HITL coordinator records the decision in a durable audit trail.
The system fails closed. If the coordinator is unreachable, the engine blocks the action.
Two-Layer Policy Architecture
A dual-layer system separates platform authority from operator customization, identical to the AI Safety policy contract.
Enforcement Modes
- Observe
- Evaluates telemetry without rejection for baselining.
- State Gate
- Refuses when zone Γ falls below the floor.
- State + Action Gate
- Full preview of SOC actions against zone reachability.
One Engine. Four Surfaces.
The Rust codebase compiles to four specific deployment targets.
Native Library
CLI Binary
kairos cyber provides replay, evaluation, action preview, and
policy-check.
Python SDK
WASM Module
Use Cases for Security Organizations
The adapter delivers structural guarantees across diverse deployment shapes.
- Frontier-vendor SOC action gating: previews host isolation, broad containment, and credential reset against zone reachability before execution.
- Multi-zone governance: separate stability tracking for DMZ, identity plane, prod-API, data layer, and control plane.
- Incident reconstruction: replay-deterministic envelopes pinned to artifact and policy version. Two operators reach the same answer.
- Pre-deployment CI gate:
kairos cyber policy-checkenforces safe defaults before a pilot policy ships. - Escalation discipline: the engine emits recommendation tiers, not severity scores. Recommendations track structural margin.
Compared to Existing Tooling
Substrate provides a structural guarantee where existing tools produce statistical guesses or pattern matches.
| Approach | Mechanism | Deterministic? | Aggregation |
|---|---|---|---|
| SIEM correlation | Pattern matching | Implementation-defined | Logical OR |
| EDR / XDR scoring | Statistical classifier | No | Weighted sum |
| Substrate cyber adapter | Stability physics | Yes | critical_max / critical_min |
Pattern matchers describe what an analyst would have written into a rule. Substrate computes the structural margin the system actually has.
Technical Specifications
Engine
- Language
- Rust (Stable)
- Latency
- Sub-millisecond per evaluation
- Determinism
- ϵ = 10-6
- Default topology
- Per-zone actor
Artifact & Policy
- Artifact schema
-
v1, domain
cybersecurity - Lambda aggregation
critical_max- Gamma aggregation
critical_min- License + HMAC
- RSA-PSS signed, secret via file or env
Where to Dig Deeper
The body of this page is the translator. Each item below names a load-bearing feature or piece of supporting research and points at the depth artifact where the full treatment lives.
Calibrated Benign Baseline
A 144-cell synthetic grid calibrated against DBIR, NIST, CIS, OCSF, LANL, and DARPA references. 5.2M-snapshot reference run with byte-identical replay. The internal-segment 98.08% finding and what it means.
Methodology debrief →Kairos Margin (kMargin)
The signed buffer-unit form of structural margin. SOC-facing
alternative to raw gamma, with companion fields
gateBreached and displayRegime.
Distributed Retry Ledger
Multi-node-safe retry budget and escalation state via the HITL coordinator's authenticated adaptive-ledger endpoints. Fail-closed on unreachable coordinators.
Dist. Retry Ledger blog post →OCSF-Lite Ingest
The adapter consumes a documented subset of OCSF 1.x. A field-level translator ships with the partner tooling; native OCSF 1.x ingest is the planned follow-on.
Cyber CLI Reference
kairos cyber surface: replay,
evaluate, action-preview,
policy-check, and explain for incident replay
and pre-deployment validation.
Become a Design Partner
Telemetry contribution shape, redaction rules, labelling discipline, and what partners get back. Mutual NDA, redacted exports preferred, aggregate-only publication.
Partner invitation →Become a Design Partner
KAIROS Substrate is shipping to design partners ahead of general availability. Active pilots: the cybersecurity adapter (redacted telemetry) and the AI safety adapter (agent trajectories) — see the partner briefs for what a contribution looks like and what comes back.
Compliance and regulatory teams, agent-eval researchers, and investors are also welcome to reach out. Submit your details or use the Contact tab.
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