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Krishna Khanal@Krishnakhanal57
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Threatenx
The Problem: SOC teams are drowning in alerts. Human analysts must manually correlate EDR logs, reverse-engineer malware, check legal compliance, and draft PR statements. This takes hours, during which ransomware can destroy a network. Furthermore, feeding sensitive enterprise PII into a single monolithic cloud LLM is a massive data privacy violation. The Solution: Threatenx is an autonomous, multi-agent orchestration platform. Instead of relying on one AI, it coordinates a specialized squad of 7 distinct agents (Threat Detection, Log Analysis, Malware Analysis, Risk Assessment, Compliance, PR, and an Incident Commander) that collaborate in real-time over the Band.ai mesh. How it Works: 1.Detect: The Threat agent identifies a security anomaly and opens a secure incident room. 2.Collaborate (The Cascade): Specialized analysis agents join dynamically. They operate with true emergent collaboration—actively waiting for upstream dependencies (e.g., the Commander holds its state until Compliance reports) before proceeding. 3.Mix & Match LLMs: We route tasks by complexity. We use extremely fast models (Google Gemini 1.5 Flash) for "Worker" agents to extract structured data, and heavy-reasoning models (Llama 3 70B via Groq) for the Commander to synthesize the final playbook. 4.Human-in-the-Loop: Threatenx does not take destructive action autonomously. The Commander stages a complete "Dossier and Playbook" on our Next.js dashboard for a Human Security Officer to approve with one click. Enterprise Privacy (Hybrid Edge) To address CISO privacy concerns, Threatenx's architecture supports Hybrid Edge deployment. "Worker" agents run securely on-premise, querying local Splunk databases. They sanitize logs locally and only transmit anonymized metadata to the cloud mesh, ensuring raw PII never leaves the customer's firewall. Threatenx doesn't just analyze data; it automates the entire human SOC workflow.
19 Jun 2026
