New reporting shows how AI assistants can be manipulated through trusted enterprise workflows such as calendar invites and health data integrations, increasing the risk of indirect prompt injection and sensitive data exposure. Adjacent cybersecurity developments reinforce that email infrastructure weaknesses, public exploit code, and geopolitical pressures remain key pathways into AI-enabled environments.
When AI gets access to cloud APIs and SaaS platforms, trust becomes risk. Learn how to secure AI as a non-human identity before automation turns into exposure.
New reporting detailed an indirect prompt-activation technique against Microsoft Copilot and highlighted a critical ServiceNow AI Platform impersonation flaw, underscoring how assistant security failures often mirror classic SaaS and phishing attack paths. Adjacent coverage reinforced the ongoing risk of browser-extension data exfiltration and rising policy focus on securing AI agents.
Data poisoning doesn’t attack models directly, it attacks trust. Learn how poisoned training and RAG data reshape AI behavior and how to defend against it.
January security reporting highlights growing concern over AI agent memory and post-holiday discovery of shadow AI integrations, while adjacent cyber trends show identity abuse and SaaS compromise continuing to drive enterprise risk.
AI threats aren’t mysterious, they’re familiar risks in new places. Learn how to apply STRIDE threat modeling to AI systems and design stronger defenses.
New research highlights how indirect prompt injection can be delivered through calendars and productivity tools, while security teams warn of growing permission creep in enterprise AI agents. Adjacent cyber trends show continued cloud API abuse and AI-assisted phishing driving real-world compromise.
Policies don’t stop AI failures, engineering controls do. Learn where governance ends, where enforcement begins, and how to close the gap in AI security.
Prompt injection and agent abuse rarely look like attacks. Learn how to detect AI misuse in production by monitoring behavior, not just prompts.
New research and reporting highlight how indirect prompt injection and agent memory can create persistent insider-style risk, while coding agents remain susceptible to prompt-driven unsafe actions. Adjacent cybersecurity updates, including CISA KEV additions and critical flaws in self-hosted platforms, reinforce that classic exploitation paths still underpin most AI compromise scenarios.