HiddenLayer-AI-Threat-Landscape-Report-2026.md

The 2026 HiddenLayer AI Threat Landscape Report documents a rapidly escalating set of AI-specific threats driven by the adoption of agentic systems and public model ecosystems: active malware families (e.g., PromptLock ransomware, LameHug infostealer), large-scale supply-chain incidents (Salesloft Drift, s1ngularity), protocol and implementation vulnerabilities in MCP/A2A/AP2 leading to remote code execution and data exfiltration, widespread prompt-injection and guardrail bypass techniques (TokenBreak, EchoGram, VISOR), and emergent campaign activity tied to both criminal groups and state actors—concluding that AI deployments should be treated as continuously exploitable infrastructure requiring runtime monitoring, adversarial testing, and supply-chain assurance.