Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

‍ Artificial intelligence (AI) offers businesses vast opportunities to boost efficiency, improve decision-making, and innovate faster. Yet, these benefits come with significant risks that can impact business operations and resilience if not managed carefully. This article explores how organizations can balance leveraging AI’s advantages while controlling its inherent risks. ‍

On May 20, 2026, GitHub disclosed that an employee device was compromised through a malicious VS Code extension, with attackers claiming to have exfiltrated roughly 3,800 internal repositories.

‍ Cyber risk has long outgrown its classification as a technical concern. For organizations serious about protecting enterprise value, managing cyber exposure requires financial grounding and the ability to communicate risk in terms that drive real decisions at the board and executive level. The distance between organizations that manage cyber risk strategically and those that report on it comes down to measurement approaches and the programs built around it. ‍

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There is no doubt that AI, or Artificial Intelligence, is rapidly changing how businesses are operating. However, it also brings new risks when it comes to data. As per industry reports, 72% of companies mention that there has been a significant increase in organizational cyber risks. It is therefore necessary to have a strong AI security architecture that helps to protect sensitive information. In light of this, 85% of organizations are now increasing their cybersecurity budget.

In an era where AI accelerates both innovation and adversarial capability, security leaders are confronting a difficult reality: traditional approaches to cyber defense are no longer sufficient. Cyberhaven’s Office of the CISO is responding with a forward-looking strategy designed not simply to keep pace with emerging threats, but to fundamentally redefine enterprise readiness in a post-Mythos world.

Security and GRC teams have no shortage of risk mitigation activities. They are carrying more work than ever, yet many still lack confidence in the data and recommendations produced by all that manual effort. They are also operating in a risk environment that changes faster than their current operating model was designed to support. Unfortunately, the existence of risk activity does not mean actual risk has been reduced.

The Microsoft Defender Security Research Team and Microsoft Threat Intelligence documented a campaign in which Storm-2949 abused Microsoft Entra ID accounts to exfiltrate data from Microsoft 365 and Azure environments. The attack shows how cloud intrusions increasingly unfold through identity systems, administrative features, and legitimate platform capabilities rather than obvious malware or traditional endpoint compromise.

Monitoring milestone highlights shift toward real-time transaction intelligence as financial institutions face escalating fraud and operational risk VANCOUVER, B.C. — May 21, 2026 — INETCO, a global leader in real-time payment fraud prevention, today announced the monitoring of more than 100 billion transactions per year, empowering financial institutions and payment service providers across more than 30 countries to outsmart fraudsters, stay compliant and keep every customer safe.

In a significant security incident unfolding on May 20, 2026, GitHub confirmed unauthorized access to its internal repositories. The breach involved the exfiltration of sensitive internal source code and organizational data, reportedly totaling around 3,800 to 4,000 private repositories. A threat actor surfaced on underground forums advertising the stolen materials for sale, complete with directory listings of compressed archives and sample verification offers.