AI observability
Prompt Injection Can’t Be Fully Mitigated, NCSC Says Reduce Impact InsteadÂ
Teri Robinson | | AI agent security, AI Application Security, AI data exfiltration, AI observability, AI Risk Management, defense in depth for AI, ForcedLeak, GeminiJack vulnerability, Generative AI Security, least privilege for AI, llm security, llm vulnerabilities, NCSC guidance, OWASP top 10 for LLMs, prompt injection, prompt injection attacks, secure AI design
The NCSC warns prompt injection is fundamentally different from SQL injection. Organizations must shift from prevention to impact reduction and defense-in-depth for LLM security ...
Security Boulevard
Palo Alto Networks to Acquire AI Observability Platform Chronosphere for $3.35 Billion
Jon Swartz | | acquisition, AgentiX, AI agents, AI coding tools, AI data centers, AI observability, AI Workloads, Chronosphere, MCP, Palo Alto Networks
Palo Alto Networks Inc. announced Wednesday it will acquire Chronosphere, a next-generation observability platform designed for artificial intelligence (AI) workloads, in a $3.35 billion deal of cash and replacement equity awards. The ...
Security Boulevard
Shadow AI: Agentic Access and the New Frontier of Data RiskÂ
Aditya Ramesh | | A2A messaging, Agentic AI, AI access control, AI auditing, AI behavior monitoring, AI breach prevention, ai compliance, AI data governance, AI data protection, AI DLP limitations, AI Governance, AI identity management, AI memory governance, AI model unlearning, AI observability, AI orchestration security, ai oversight, AI privilege management, AI regulatory compliance, AI resilience, AI risk architecture, AI Risk Management, AI Security, AI threat detection, AI trust and transparency, autonomous AI agents, enterprise AI safety, multi-agent security, securing autonomous systems, Serviceaide breach, Shadow AI
As autonomous AI agents spread across enterprise systems, a new risk emerges: Shadow AI. Learn why traditional controls fail and how to secure agentic AI ...
Security Boulevard

