Perspectives

RAG makes AI smarter while also creating new ways for hackers to steal private data. Learn how our Red Team Lab used "memory exfiltration" to trick models into leaking sensitive info through hidden browser requests.

Discover how Alice and Databricks are partnering to build safer AI agents. Learn how Alice's WonderFence integrates with Databricks’ Mosaic AI Agent Framework to mitigate risks like prompt injection, toxic outputs, and policy violations, ensuring secure, compliant AI deployment at scale

Scammers are using GenAI to impersonate people, brands, and institutions at scale; fueling fraud, misinformation, and exploitation. Here’s how impersonation abuse works and what AI deployers must do to stay ahead.

New research shows how roleplaying and multi-turn prompts can bypass LLM moderation and jailbreak protections. This post explains how evasion attacks work, why single-turn filters fail, and how to mitigate real-world risk.

Expose how disinformation networks exploit crowdsourced fact-checking like Community Notes to push propaganda and suppress truth, and what platforms must do now.

Threat actors are exploiting GenAI in the wild. Learn why true AI security must extend beyond infrastructure to detect and prevent real-world misuse.

Learn how AI systems misbehave when prompted in one of the most dangerous threat areas: high-risk CBRN. Based on ActiveFence’s internal testing of leading LLMs, the results reveal critical safety gaps that demand serious attention from enterprise developers.

See how the RAISE Act aims to stop AI-enabled crises.

Scaling AI requires safety by design. Learn how Alice is integrating with NVIDIA NeMo Guardrails to provide real-time protection and help enterprises deploy AI agents that are secure, responsible, and aligned.