Offensive AI has collapsed the cost of the attack — phishing drafted in your CFO's voice, forged faces on live calls, intrusion pipelines that think faster than any security team. Eliama Aconite fields autonomous counter-agents on your side of that line: hunting hostile agents, verifying every identity, and hardening the AI you run against hijack, injection and abuse.
The economics of attack have inverted. Spear phishing is drafted by language models in the tone of your own executives. Voices and faces are forged well enough to pass a video call. Reconnaissance, exploitation and lateral movement now run as autonomous pipelines that never sleep — and your own AI agents have become the newest attack surface: prompt injection, tool abuse, quiet exfiltration through a helpful assistant.
Aconite answers with the same class of technology, aimed the other way. Counter-agents patrol identities, traffic and agent behavior around the clock. Synthetic voices, forged video and machine-written fraud are flagged and verified out-of-band before money or credentials move. Every AI agent you run operates under least-privilege policy with a full audit trail. Escalation is autonomous; judgment stays human.
Autonomous sentinels watch your estate for attacker-AI signatures — agentic reconnaissance, adaptive intrusion, machine-speed privilege escalation — and contain them before they spread. The perimeter thinks at the speed of the threat.
Detects synthetic voices, forged video and machine-written fraud. Consequential actions — payments, credential changes, access grants — require out-of-band human confirmation. Nothing sensitive moves on a machine's word alone.
Every AI agent in your stack receives a scoped identity, a tool-call policy and a monitored boundary. Prompt injection, jailbreak attempts and unusual tool use are blocked and logged; canary credentials expose exfiltration attempts the moment they surface.
Standing red-team agents attack your agents weekly — injection, exfiltration, privilege abuse — with findings ranked by business loss, not abstract scores. Fixes ship as engineering; evidence ships audit-ready for NIS2, DORA and the EU AI Act.
PRESENTATION LAYER
AGENTIC FABRIC & SOLVER ENGINE — FLORAOS
POLICY & AUDIT GOVERNANCE ENGINE — Deterministic Verification · Role-Based Human Approval Gates
FLORAOS ENTERPRISE ONTOLOGY
Unified Semantic Graph: Equipment ⇄ Work Orders ⇄ Materials ⇄ Suppliers ⇄ Sensor RunsBIDIRECTIONAL INTEGRATION RUNTIME — CONNECTORS
FloraOS avoids point-to-point synchronization and brittle ETL pipelines by establishing a model-driven semantic ontology. Operational reality is mapped into unified digital entities — Asset, Batch, WorkOrder, ProductionConstraint, MaterialSKU, SupplierContract. When Protea detects an anomalous vibration, it does not see an isolated float value: it associates that signal with the asset, reads its active batch, checks work-order history, and alerts the certified technician on duty.
SAP S/4HANA and ECC are read via NetWeaver RFCs, OData v4 and SAP Event Mesh, and written through transactional BAPIs that stage draft actions — no change touches production ledgers without passing SAP validation schemas. Dynamics 365 syncs via Dataverse webhooks and OData batch writeback for human review. On the plant floor, lightweight edge runtimes subscribe to OPC UA and MQTT streams inside the DMZ, with indexed querying of PI, InfoPlus.21, TimescaleDB and InfluxDB historians.
Kervalt runs either inside the FloraOS enterprise architecture or standalone for SMEs. In enterprise deployments it is the Confidential Intelligence Layer: while Protea and Dahlia process telematics and schedules, Kervalt ingests highly sensitive records — supplier agreements, patents, shift logs, board risk registers — with Tafari parsing multilingual text, Griot mapping relationships across legacy archives, and Elimu cryptographically grounding every output before it reaches an operator.
Your enterprise does not run on clean, centralized databases. It runs on decades of SAP transactions, proprietary SCADA historians, custom MES platforms, and fragmented documentation. FloraOS bridges this divide — a unified ontology that turns historical systems of record into active systems of intelligence. No rip-and-replace required.
FloraOS connects via native SAP BAPIs, Dynamics OData endpoints, and standard industrial OPC UA protocols. Your source systems remain the single point of truth.
When FloraOS optimizes a production sequence or schedules an emergency pump overhaul, it runs deterministic mathematical solvers and rule-based verification. Generative models only assist with semantic parsing and contextual summarization.
Through dedicated European bare-metal infrastructure — anchored by Kervalt — your intellectual property, plant telemetry, and internal records remain strictly under European jurisdiction.