Model-Driven Security Engineering for Data Systems represents a structured methodology that integrates security into the early stages of system and database development. This approach leverages ...

The moment an AI system can read internal systems, trigger workflows, move money, send emails, update records or approve actions, the risk profile changes.

Anthropic's Opus 4.6 system card breaks out prompt injection attack success rates by surface, attempt count, and safeguard ...

Secure your MCP hosts with quantum-resistant identity and access management. Learn about lattice-based signatures, CRYSTALS-Dilithium, and 4D context-aware security.

The rapid adoption of Large Language Models (LLMs) is transforming how SaaS platforms and enterprise applications operate.

A new global standard has been released to help organizations manage the risks of integrating large language models (LLMs) into their systems and address the ambiguities around these models. The ...

The Microsoft Copilot for Security will cost $4 per "security compute unit" when it becomes available in April. Microsoft wants the price to be low enough that users can test it. In this article ...

AUSTIN, Texas —In response to increasing drone threats, Athena Security has developed a drone defense system, the newly unveiled Drone Defense Detection Model. Integrated into the company’s AI ...

Ever since OpenAI released ChatGPT at the end of 2022, hackers and security researchers have tried to find holes in large language models (LLMs) to get around their guardrails and trick them into ...