BlackFog Introduces ADX Vision 2.0 to Guard Enterprise Prompt Interactions and Enforce AI Governance
What Happened — BlackFog announced ADX Vision 2.0, an endpoint‑resident control layer that inspects every AI prompt before it reaches a large‑language model. The solution adds seven protection layers (context‑switching, obfuscation, jailbreak detection, data‑exfiltration, dangerous‑prompt patterns, fuzzy‑keyword, structural anomaly) and can route requests to sanctioned, licensed models while logging all activity for audit.
Why It Matters for Trust & Control Assurance
- Provides continuous, real‑time monitoring of AI‑driven workflows, the exact scenario a control‑assurance program must capture to prove “AI prompt integrity.”
- Generates immutable audit logs that serve as defensible evidence for emerging AI‑governance regulations and internal policy compliance.
- Enables policy‑driven routing to approved models, reducing the risk of unauthorized data exposure from rogue or personal AI services.
Who Is Affected — Enterprises that have deployed generative or agentic AI across any business unit, especially those handling regulated or sensitive data (finance, health, legal, etc.).
Recommended Actions
- Map AI‑governance controls (prompt integrity, model usage, data‑handling) to the Verisq Common Framework control objective for AI system governance.
- Deploy endpoint‑level prompt inspection or integrate a solution like ADX Vision 2.0 to capture evidence of every AI interaction.
- Formalize policies that route all AI requests to approved, licensed LLMs and retain audit logs for compliance reviews.
Source: Help Net Security
Technical Notes — ADX Vision 2.0 operates on the endpoint, intercepting prompts before they leave the device. It detects prompt injection, jailbreak attempts, and data‑exfiltration patterns using a combination of static and behavioral analysis. Custom controls can flag sensitive data (PCI, SSN, domain‑specific terms). An optional prompt‑auditing feature records the exact text sent to frontier LLMs for later review.
Source: Help Net Security