Indirect prompt injection lets attackers bypass LLM supervisor agents by hiding malicious instructions in profile fields and contextual data. Learn how this attack works and how to defend against it.

By combining indirect prompt injection with client-side bypasses, attackers can force Grafana to leak sensitive data through routine image requests.

In contrast to traditional models, where data leakage is typically confined to a single interaction, agentic AI introduces ...

Anthropic and Nvidia have shipped the first zero-trust AI agent architectures — and they solve the credential exposure ...

GrafanaGhost, a weakness in Grafana, allows attackers to leak enterprise data via indirect prompts hidden in external resources.

Akamai Technologies experienced a sharp sell-off after Anthropic launched Claude Managed Agents. Find out why AKAM stock is a ...

AI is being adopted across a wide range of sectors, including financial services and financial advice. The range of AI use ...

Dubbed “GrafanaGhost,” the vulnerability could have let an attacker bypass both client-side protections and AI guardrails to send private data from a Grafana environment to an external server without ...

THREE members of the same family who live in the UK’s fat jab capital have lost 20st between them – and know the mistakes ...

AI can’t be fully trusted, yet businesses depend on it. Explore the risks of bias, hallucinations, and adversarial ...

Bausch + Lomb Corporation (NYSE/TSX: BLCO), a leading global eye health company dedicated to helping people see better to live better, today announced the presentation of new scientific data and ...

Metabolic will be the first provider outside the United States to offer the new treatment, within weeks of the FDA’s approval ...