At its Security & Risk Management Summit on June 2, 2026, Gartner identified four cybersecurity threats requiring urgent attention from security leaders: deepfakes, AI application compromise, prompt injection, and software supply chain attacks. These threats are categorized as “critical” in the firm’s 2026–2027 ThreatScape, with attackers holding a significant advantage in exploiting organizational weaknesses across all four categories.
Gartner warns that generative AI has dramatically increased the volume, fidelity, and accessibility of deepfake creation, making identity impersonation a growing risk. AI application compromise is expanding as attackers target production-ready enterprise AI tools — including custom agents, third-party integrations, and internal employee applications — exposing sensitive data through weak controls. Prompt injection, where attackers manipulate LLM inputs to leak information or bypass controls, is scaling alongside enterprise AI adoption.
The firm also highlighted broader 2026 trends: agentic AI is expanding attack surfaces as employees deploy autonomous agents with minimal governance, cybersecurity is becoming a board-level resilience discipline driven by regulatory pressure, and organizations need to begin adopting post-quantum cryptography now to counter “harvest now, decrypt later” attacks before current encryption becomes obsolete.
Source
Gartner Press Release · Bytes Analysis
Commentary
Gartner putting AI application compromise alongside traditional supply chain threats sends a clear message: the AI tools companies are rushing to deploy are now part of the attack surface, and most security teams aren’t prepared for it. The shift from “AI helps us defend” to “AI is what they’re attacking” happened faster than most organizations anticipated.
The prompt injection callout is particularly significant from an industry analyst of Gartner’s weight. This isn’t a theoretical concern anymore — it’s now a named critical threat in the same category as supply chain attacks and deepfakes. For CISOs, this means AI governance can no longer be someone else’s problem. If your organization is deploying agents, fine-tuning models, or building LLM-powered tools without security review, Gartner is telling you that you’re already behind.