Despite the hype around AI-assisted coding, research shows LLMs only choose secure code 55% of the time, proving there are fundamental limitations to their use.
API keys and credentials. Agents operate inside authorized permissions where firewalls can't see. Traditional security models ...
For production AI, security must be a system property, not a feature. Identity, access control, policy enforcement, isolation ...
Anthropic's Opus 4.6 system card breaks out prompt injection attack success rates by surface, attempt count, and safeguard ...
Editor’s note: This is the 67th article in the “Real Words or Buzzwords?” series about how real words become empty words and stifle technology progress. AI software has revolutionized traditional ...
He's not alone. AI coding assistants have compressed development timelines from months to days. But while development velocity has exploded, security testing is often stuck in an older paradigm. This ...
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 ...
Last year, Texas A&M launched the Global Cyber Research Institute and held its inaugural summit. This cross-disciplinary institute is dedicated to taking a holistic view of cyber security. Not just ...
Our Maturity Model report explains the research and methodology behind this new framework, which is designed to help security and risk professionals articulate the breadth of security’s role in the ...
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