Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Canada’s fintech and cybersecurity sectors continue to gain global recognition, and organizations like the Council of Canadian Innovators (CCI) play an important role in amplifying the companies shaping the country’s technology future. CCI represents many of Canada’s fastest-growing technology firms, advocating for policies and initiatives that strengthen innovation, economic growth and global competitiveness.

In an AI-assisted development era, the third edition of BSides312 showed why trust, identity, access, evidence, and community remain core to security work.

Ransomware has moved beyond simple malware attacks. It is now operating under a structured business model that disrupts operations, not just systems. Attackers are not depending on phishing or malicious files to deploy ransomware. They instead use compromised identities and existing tools present within environments to move undetected. By the time encryption starts, the attack has already progressed across systems.

In the IT world, there is something quietly sinister about a bank holiday. It’s not the holiday itself – who doesn’t love a bank holiday – a long weekend, a reason to grill something in unpredictable weather, the particular pleasure of feeling like you’ve slipped a Monday… The sinister part is structural.

A CNAPP isn’t a single instrument. It bundles five separately-instrumented security domains — CSPM, CWPP, CIEM, CDR, and a fifth add-on module marketed as AI security — each watching a different observation point. So when leadership asks whether your CNAPP can secure the AI agents your team has shipped, you don’t get one answer. You get five.

Most enterprise AI agent governance programs publish policies at the bottom three rungs of a runtime enforceability ladder while their architecture diagrams claim rung four. Almost no program reaches rung five, the only rung that produces evidence an auditor cannot dispute. The mismatch shows up in the audit committee meeting. The CISO walks in with the NIST AI RMF mapping, the AUP, the model cards, and the vendor risk assessments for every third-party API the agents call.

Your app passed testing. CI/CD ran clean. The App Store approved it. Your security team signed off. Six weeks later, attackers are reverse-engineering the binary on rooted devices, injecting JavaScript into your runtime, and probing API endpoints your scanner never modeled. Nothing in the code changed. The threat environment did. This is the central problem of modern mobile application security, and it doesn't get fixed by adding more pre-release scanners.

With version 2.3.0, GitProtect brings the long-awaited support for Confluence, SharePoint, and shared mailbox backup. Speaking of DevOps stack protection, your repo copies now feature enhanced granularity and accelerated recovery with automated mapping. Release 2.3.0 also includes a number of stability and performance improvements. Below, you can find a detailed overview of the new features.

Employees are leveraging AI to boost productivity and adopt skills that would take years to learn. This ranges from drafting content, writing code, and building automated workflows. Some of this use is approved. Much of it is not. For many security teams, the first instinct is to treat this risk like they would any other SaaS risk: discover the app, allow or block access, apply DLP rules, and report on usage. That model works for traditional SaaS, but AI is different.