All news with #guardrails-as-code tag

How Staff+ Security Engineers Can Force-Multiply Impact

🔧 Staff+ security engineers should move from being individual problem-solvers to force multipliers by enabling others, automating enforcement, and shaping security strategy. The article recommends practical mechanisms—policy-as-code, paved paths, mentorship trees—and disciplined delegation to scale impact. It urges embedding security via shift-left practices, reusable reference architectures, and cautious AI-assisted tooling. During incidents, act as an orchestrator, set inflection points, and bridge teams with leadership to preserve strategic influence.

AWS Security Agent preview: AI-driven development security

🔒 AWS today announced the preview of AWS Security Agent, an AI-powered agent that automates security validation across the application development lifecycle. The service lets security teams define organizational requirements once and then evaluates architecture and code against those standards, offering contextual remediation guidance. For deployments, it performs context-aware penetration testing and logs API activity to CloudTrail; the preview is available in US East (N. Virginia). AWS states customer data and queries are not used to train models.

Human and AI Collaboration in the GenAI-Powered SOC

🛡️ Microsoft Defender Experts outlines how autonomous AI agents are transforming Security Operations Centers by automating repetitive triage and amplifying analyst impact. Built with expert-defined guardrails, curated test sets, and human-in-the-loop validation, these agents already process about 75% of phishing and malware cases and help resolve incidents nearly 72% faster. The program emphasizes human governance, auditability, and iterative rollout through dark-mode evaluation and pilot partnerships.

Bedrock Guardrails: Natural-Language Test Generation

🧪 Amazon Web Services has added natural-language test Q&A generation to Automated Reasoning checks in Amazon Bedrock Guardrails. The capability generates up to N test Q&As from input documents to accelerate creating and validating formal verification policies. Automated Reasoning checks apply formal methods to detect correct model outputs and report up to 99% accuracy in identifying correct responses and reducing hallucinations. The feature is available in multiple US and EU Regions and accessible via the Bedrock console and Python SDK.

MCPTotal Launches Platform to Secure Enterprise MCPs

🔒 MCPTotal today launched a comprehensive platform designed to help organizations adopt and secure Model Context Protocol (MCP) servers with centralized hosting, authentication and credential vaulting. Its hub-and-gateway architecture functions as an AI-native firewall to monitor MCP traffic, enforce policies in real time, and provide a vetted catalog of hundreds of secure MCP servers. Employees can safely connect models to business systems like Slack and Gmail while security teams gain visibility, guardrails, auditing and multi-environment coverage to reduce supply chain, prompt-injection, rogue-server and data-exfiltration risks.

Portkey Integrates Prisma AIRS to Secure AI Gateways

🔐 Palo Alto Networks and Portkey have integrated Prisma AIRS directly into Portkey’s AI gateway to embed security guardrails at the gateway level. The collaboration aims to protect applications from AI-specific threats—such as prompt injections, PII and secret leakage, and malicious outputs—while preserving Portkey’s operational benefits like observability and cost controls. A one-time configuration via Portkey’s Guardrails module enforces protections without code changes, and teams can monitor posture through Portkey logs and the Prisma AIRS dashboard.