Google Adopts Defense-in-Depth to Counter Prompt Injection Threats

Google outlines a layered security strategy to mitigate prompt injection attacks in AI systems, especially indirect attacks hidden in external content such as emails, files, and calendar invites. Its approach combines model hardening, malicious-content classifiers, security-focused reasoning reinforcement, markdown sanitization, suspicious URL redaction, and human-in-the-loop confirmations for risky actions. The broader message is that prompt injection is not a one-time problem to solve, but an evolving threat that requires continuous, multi-layered defenses across the entire AI interaction lifecycle. 

https://blog.google/security/mitigating-prompt-injection-attacks/

Comments

Post a Comment

Popular posts from this blog

Prompt Engineering Demands Rigorous Evaluation

In the blog post “Prompt Engineering Requires Evaluation” on the Shostack + Associates website, the author argues that treating prompts for large language models (LLMs) merely as creative artefacts is insufficient. Engineering prompts properly demands structured evaluation frameworks — what the AI community calls “evals” — to test which prompt versions work better, with which models, and under which conditions. The post highlights that simply assuming a prompt is “good enough” creates risks when LLMs are integrated into production systems (e.g., for threat modeling). It advocates for measuring prompt performance, variation effects, and tool-chain dependencies (model, context, ancillary materials).  Ultimately the message is: prompt engineering should borrow disciplined practices from software engineering (versioning, testing, benchmarking) rather than relying on informal experimentation.  https://shostack.org/blog/prompt-enignieering-requires-evaluation/
Read more

SecObserve: Simplified Vulnerability and License Management for CI/CD Pipelines

 SecObserve is an open-source tool for managing vulnerabilities and licenses in software development and cloud environments. It integrates various vulnerability scanners into CI/CD pipelines using GitLab CI templates and GitHub Actions for streamlined setup. It offers a centralized dashboard for assessing and reporting vulnerabilities, with tools for filtering, sorting, and evaluating results. SecObserve supports automation and manual assessments to focus on resolving critical issues.  https://github.com/MaibornWolff/SecObserve/tree/dev
Read more

OWASP ASVS 5.0 Released - Key Updates and What You Need to Know

The OWASP Foundation has released version 5.0 of the Application Security Verification Standard (ASVS), a major update to their security framework for web applications. This new version features restructured security requirements for better clarity, expanded guidance for cloud and API security, improved DevSecOps integration for CI/CD pipelines, updated threat modeling support, and enhanced compliance mapping with standards like NIST and PCI DSS. ASVS serves as a critical benchmark for developers building secure applications, penetration testers conducting security assessments, and auditors performing compliance reviews.  The standard is available for download from the OWASP ASVS project page, with organizations encouraged to integrate it into their software development lifecycles through code reviews and security testing tools. As a vendor-neutral, community-driven project, OWASP continues to welcome contributions to further develop the standard. This release represents an importa...
Read more