Wisr AI Systems and Moneylab Enter into an MOU to Develop Agentic AI Cyber Platform Focused on Financial Services Risk

Security research shows an AI‑trained malware (using Qwen 2.5 LLM) can bypass Microsoft Defender ~8% of the time, while SRAM-trained variants struggle to reach 1%. Developed in just three months on a $1,600 budget, it demonstrates how reinforcement‑learning enables automated creation of evasive malware at scale. With Black Hat 2025 slated to expose its inner workings, this marks a major escalation in cybersecurity: adversaries are now using AI to automate and optimize attack craft. Responding demands higher fidelity detection models and adversarial ML defenses.

Wisr AI Signs Non-Binding LOI to Acquire RiskAssure

We are pleased to share with you our press release (below) regarding Wisr signing a non-binding LOI to acquire RiskAssure.   Vancouver, British Columbia–(Newsfile Corp. – July 16, 2025) – Wisr AI Systems Inc. (CSE: WISR) (“Wisr AI” or the “Company“), a leading provider of agentic AI-powered cybersecurity and third-party risk intelligence solutions, is pleased […]

News: Wisr AI Announces Addition of Thomas Bain to Advisory Board 

We are pleased to share with you our press release (below) regarding our new advisor, Thomas Bain. Tom has an extensive background in the cybersecurity industry, with direct experience in our market, having worked with companies such as RiskRecon and SecurityScorecard.  We are looking forward to working with Tom to help expand our go-to-market plans […]