Microsoft Security is scheduled to present at Black Hat USA 2026, where the company will discuss how threat actors are increasingly targeting trusted systems to scale their attacks. The presentations will focus on threats to software, services, and artificial intelligence (AI) systems. Microsoft plans to share insights into earlier identification of these threats and emphasize the collaborative role of threat intelligence, incident response, and security operations across diverse systems.
The discussions will address the growing accessibility of offensive capabilities for threat actors. A key focus will be deep dives into methods for hunting supply chain attacks within software ecosystems. This includes examining vulnerabilities and attack vectors that can emerge throughout developer workflows, from initial code creation to deployment.
Supply chain attacks typically exploit the trust inherent in the relationships between organizations and their vendors, or within the development process itself. Attackers might compromise a component at any stage, such as injecting malicious code into open-source libraries, tampering with build tools, or compromising update mechanisms. Once a trusted component is compromised, the malicious payload can propagate widely to downstream users and systems.
For AI systems, the threat landscape includes poisoning training data, manipulating model behavior, or compromising the infrastructure used to develop and deploy AI models. Such attacks could lead to biased outcomes, system failures, or the exfiltration of sensitive data processed by AI. Securing AI supply chains involves validating data sources, ensuring model integrity, and protecting the entire AI lifecycle.
Mitigation strategies for these types of threats generally involve robust software supply chain security practices. This includes implementing secure development lifecycles, performing thorough code reviews, utilizing software composition analysis (SCA) tools to identify vulnerable components, and employing strong access controls. For AI systems, this extends to data provenance, model explainability, and continuous monitoring for anomalous behavior.
Furthermore, effective threat intelligence is crucial for understanding emerging attack patterns and actor methodologies. This intelligence, when integrated with proactive response strategies and vigilant security operations, allows organizations to detect and neutralize threats more efficiently. Collaboration across these functions is essential to build a comprehensive defense against sophisticated, multi-vector attacks.
The scheduled presentations underscore a growing industry recognition of the interconnectedness of modern digital infrastructure and the expanding attack surface. As software, services, and AI become more deeply embedded in critical operations, securing their underlying supply chains and development processes is paramount to maintaining overall system integrity and resilience against increasingly sophisticated adversaries.
