Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Strategies for Building a Reliable Transportation Workforce

The transportation industry keeps economies moving. From food and medical supplies to retail products and industrial equipment, nearly every sector depends on efficient logistics. Yet one challenge continues to affect fleets of all sizes: building and maintaining a dependable workforce. Driver shortages, changing regulations, and increasing customer expectations have made talent acquisition and retention more important than ever. Companies that invest in workforce development are better positioned to maintain service quality, reduce turnover, and remain competitive in a demanding market.

Is Your Air Conditioner Ready for Another Alberta Summer?

When most people think about Alberta, cold winters usually come to mind. Yet anyone who has lived through an Alberta summer knows that temperatures can climb quickly, making a reliable air conditioning system more important than ever. Whether you're in Calgary, Edmonton, or a smaller community, preparing your cooling system before the hottest days arrive can save you money, improve indoor comfort, and help avoid unexpected breakdowns.

What Is Agentic Threat Intelligence?

Agentic threat intelligence is an emerging CTI model where bounded agents support repetitive investigation work, such as collection, enrichment, prioritization, and evidence packaging, while analysts retain control over takedown and escalation decisions. Vendor briefings are full of “agentic AI” right now. Most of them describe the same thing: faster dashboards and smarter alerts. That is not agentic threat intelligence.

AI Risk Management as a Function of AI Governance: A Holistic Approach

Artificial intelligence (AI) is transforming industries, but it also introduces new risks that organizations must manage. Effective AI risk management is a critical function within AI governance. This article explains how AI risk management fits into the broader governance framework, why it matters, and how organizations can adopt a connected, data-driven approach to reduce AI-related risks continuously.

LangGraph Integration for Protegrity AI Developer Edition

See how Protegrity AI Developer Edition helps protect sensitive data in AI agent workflows built with LangGraph. This demo shows how Protegrity can fit into modern AI development pipelines as both a preprocessor and postprocessor guardrail, helping teams discover, protect, tokenize, mask, and redact sensitive data before it reaches an LLM — and before responses leave the application. In this video, you’ll learn how developers can.

Best AI Security Tools for 2026 (Top 10 Compared)

Enterprises today are looking to grow faster by adopting artificial intelligence. Teams are now building AI copilots, automating workflows with AI agents, and using Retrieval- Augmented Generation (RAG) to search internal knowledge bases. However, with every successful AI deployment, there is one very important question. How do you keep sensitive enterprise data from becoming a potential AI security risk?

Microsoft Defender for Endpoint: Protection You're Paying For But Not Using

Microsoft Defender for Endpoint ships with serious firepower. But most of it is sitting idle. ASR rules get stuck in audit mode. Devices never get fully onboarded. Exploit protection is switched off. Security baselines drifting across device groups. You're paying for protection that isn't turned on. Reach analyzes your Defender deployment, surfaces every gap, prioritizes the fixes by real risk reduced, and keeps your controls aligned as you scale.

How to Appear in AI Search Results

A few years ago, the goal was simple: rank on page one of Google. If your website appeared among the first 10 blue links, people would find you. That equation is changing. Search behavior is shifting from keyword lookups to answer-led queries. Instead of scanning a list of results, more people are turning to AI-powered search tools that read across the web, consolidate information, and deliver a direct answer. ChatGPT, Google AI Overviews, Perplexity, and Claude all work this way.

Delivering Context and Speed for Security Operations with Aurora Security Assistant

Security operations teams are facing a familiar, but growing, challenge. As threat actors leverage AI and automation to move faster, alerts continue to expand in volume and complexity. Even mature security teams struggle to keep up with investigation timelines, maintain institutional knowledge, and ensure consistent response quality. At the same time, buyers are demanding more from their security platforms. They want solutions that go beyond detection.

AI Inference Risk: The Data Exposure Your DLP Can't See

Your DLP controls are correctly configured. Classification policies are in place. Sensitive data is labeled. And your AI tools are quietly building a picture of your organization that none of those controls can see. Most AI-related data exposure does not arrive as a file transfer event.