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Explore in-depth research on the latest cybersecurity threats, trends, and defense strategies. Get insights from Microsoft thatโll help you better understand and respond to todayโs challenges.
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Excerpt: CTI-REALM is Microsoft’s open-source benchmark for evaluating AI agents on real-world detection engineering—turning cyber threat intelligence (CTI) into validated detections. -
Observability for AI Systems: Strengthening visibility for proactive risk detection
As AI systems grow more autonomous, observability becomes essential. -
Detecting and analyzing prompt abuse in AI tools
Hidden instructions in content can subtly bias AI, and our scenario shows how prompt injection works, highlighting the need for oversight and a structured response playbook. -
Contagious Interview: Malware delivered through fake developer job interviews
The Contagious Interview campaign weaponizes job recruitment to target developers. -
Malicious AI Assistant Extensions Harvest LLM Chat Histories
Malicious AI browser extensions collected LLM chat histories and browsing data from platforms such as ChatGPT and DeepSeek. -
Signed malware impersonating workplace apps deploys RMM backdoors
Signed malware backed by a stolen EV certificate deployed legitimate RMM tools to gain persistent access inside enterprise environments. -
OAuth redirection abuse enables phishing and malware delivery
OAuth redirection is being repurposed as a phishing delivery path. -
Threat modeling AI applications
AI threat modeling helps teams identify misuse, emergent risk, and failure modes in probabilistic and agentic AI systems.