Records found: 18
Google is adding AI to Drive on desktop to detect ransomware-like sync behavior, pause suspicious syncing and offer file rollbacks to limit damage.
'MCP formalizes model-to-tool integrations with typed tools, resources, and prompts, enabling scoped authorization, auditable interactions, and reproducible red-team scenarios. Treat MCP servers as privileged connectors: vet, pin, and monitor them.'
Anthropic and Google have introduced protocols MCP and A2A to help AI agents interact more effectively and securely with digital tools and each other, addressing major challenges in AI task automation.
Andy Yen, Proton Mail’s creator, has launched a privacy-focused AI chatbot designed to compete with ChatGPT by ensuring no personal data is stored or shared.
The 2025 update on Model Context Protocol (MCP) highlights its role as a secure, open standard for AI integration across AWS, Azure, and Google Cloud with expanding ecosystem and security measures.
Hirundo raises $8 million to develop machine unlearning technology that removes AI hallucinations and biases, offering enterprises a more reliable and efficient way to improve AI model safety.
Dr. Ryan Ries, Chief AI and Data Scientist at Mission, shares insights on scaling enterprise AI with AWS, practical generative AI applications, and effective AI leadership strategies.
'Discover how enterprises can strategically adopt AI to drive trust, ROI, and innovation across business operations, empowering leaders and employees alike.'
MCP gateways are essential for integrating AI models securely and at scale across enterprise systems, offering centralized management and seamless connectivity.
AI systems often operate as black boxes, causing trust and accuracy issues. Enhancing AI explainability and responsible use is essential for business security and efficiency.
Anaconda launches a groundbreaking unified AI platform tailored for open source, addressing enterprise challenges in AI development with enhanced security and MLOps integration.
A new method allows rewriting blocked prompts in text-to-video systems to bypass safety filters without changing meaning, revealing weaknesses in current AI content safeguards.
Theom secured $20 million in Series A funding to enhance its AI-native data governance platform, enabling enterprises to secure sensitive data across cloud and AI environments.
Meta AI unveils LlamaFirewall, a comprehensive open-source security framework for autonomous AI agents that combats prompt injection, misalignment, and insecure code generation.
Enkrypt AI’s report reveals serious safety flaws in Mistral’s vision-language models that enable generation of harmful content, urging continuous security improvements in multimodal AI systems.
OpenAI has published a comprehensive guide outlining pragmatic strategies for enterprise AI adoption, highlighting real-world lessons from collaborations with major companies.
Microsoft's AI Red Team has released a detailed taxonomy outlining failure modes in autonomous AI systems, offering critical insights and mitigation strategies to enhance security and safety.
Sentra secures $50M in Series B funding to enhance its AI-powered cloud-native data security platform, addressing the growing risks of shadow data in AI-driven enterprises.