Scaling velocity without security discipline creates a house of cards. The legacy misconception that security is solely a backend problem is dangerously outdated. Modern applications have shifted heavy business logic, authentication tokens, and sensitive data manipulation directly into the browser. This makes the frontend the primary attack surface for anyone looking to bypass server-side firewalls….
LAKE MARY, Fla., Sept. 15, 2026 /PRNewswire/ — Organizations continue to navigate a rapidly shifting and increasingly interconnected risk landscape, as digital disruption and geopolitical uncertainty recorded the largest increases in risk since last year, according to the Internal Audit Foundation’s latest annual Risk in Focus research. Institute of Internal Auditors Logo The research, informed…
When that pressure tips into unrealistic expectations, HR leaders may be setting the groundwork for a constructive dismissal claim or a psychological health and safety complaint, says Stam. Understanding how psychological safety obligations intersect with AI monitoring in Canadian workplaces is increasingly relevant as these tools proliferate. Don’t wait for the law – act now…
AI coding tools have changed the software development world in a few short years, but security risks and rising costs associated with AI-generated code mean organizations should consider their potential return on investment (ROI) before jumping into the deep end. That said, many organizations have already entered the deep end. According to GitLab’s 2026 AI…
Artificial intelligence may currently be helping employees work faster and smarter, but Anthropic CEO Dario Amodei believes the bigger disruption to jobs could still lie ahead. Speaking in an interview with Bloomberg, Amodei said his concerns about AI-driven unemployment have not changed significantly, even as businesses increasingly use AI tools to improve productivity. According to…
evaluating marketing strategies effectively.) The Risks of AI Marketing Despite the numerous advantages, AI marketing is not without its risks. Marketers must navigate several potential pitfalls: Data Privacy Concerns: With increased reliance on data, businesses must ensure compliance with regulations like GDPR and CCPA, prioritizing customer privacy. Algorithm Bias: AI models can perpetuate existing biases…
Article by Amritesh Anand, Vice President & MD – Technology Services Group at In2IT Technologies Generative Artificial Intelligence (AI) has quickly evolved from a novelty to a regular tool in the workplace. It helps with tasks like drafting emails, summarising documents, coding, and data analysis. AI-powered platforms are changing how people work. As more employees…
What You Need to Know For businesses, the adoption of AI is not just a technological decision – companies using AI tools must be aware of potential legal exposure in areas including data privacy, intellectual property, employment practices, contractual liability, regulatory compliance, and confidentiality protections. To adopt AI in a responsible manner, businesses should proactively…
Across enterprises, the AI conversation is rapidly shifting from experimentation to execution. Boards are pushing for AI-driven efficiency, autonomous agents and faster decision-making, while CIOs are under pressure to move generative AI initiatives from pilots into production environments. Yet, beneath the momentum, many organisations are confronting a less visible but increasingly critical challenge: fragile enterprise…
This is one of the more consequential shifts on display at RSAC this year. Governance, long treated as friction, is being reframed as infrastructure, something that must be automated if AI-driven development is to scale. The trade-off is complexity. Chainloop’s model requires organizations to think in terms of systems, provenance, and policy frameworks, not just…
