CloudSec Wine

🤖 How to evaluate LLMs before production

Practical LLM evaluation lessons from GitHub secret scanning: define product goals and guardrails first, treat offline evaluation as repeatable integration testing, keep eval data close to production, audit labels, use error analysis, and apply LLM-as-judge for human review triage.

https://github.blog/ai-and-ml/llms/how-to-evaluate-llms-before-production

#AI

🤖 The AI-Native SDLC playbook

Anthropic's stage-by-stage playbook for the AI-native SDLC: how teams plan, design, build, test, deploy, and maintain software with Claude.

https://claude.com/blog/the-ai-native-sdlc-playbook

#AI

🔴 Staying Ahead of Adversarial AI Through Agentic Source Code Review

This blog describes the methodology that powers a Mandiant internal tool for point-in-time AI vulnerability discovery. It has discovered hundreds of vulnerabilities in customer codebases and resulted in dozens of vendor notifications with either assigned or pending CVE numbers.

https://cloud.google.com/blog/topics/threat-intelligence/staying-ahead-of-adversarial-ai-through-agentic-source-code-review

#gcp

🔶 Implement custom authentication for tools integration using request Lambda interceptor in AgentCore Gateway

AgentCore Gateway supports OAuth 2.0, IAM, and API keys natively, but a request Lambda interceptor enables legacy Basic Auth integration. The interceptor validates the inbound JWT, retrieves system credentials from Secrets Manager, and constructs the Basic Auth header before forwarding to the downstream tool.

https://aws.amazon.com/ru/blogs/security/implement-custom-authentication-for-tools-integration-using-request-lambda-interceptor-in-agentcore-gateway

#aws

🤖 LiteLLM Supply Chain Attack: 2,500+ Companies Exposed in the Largest AI Supply Chain Breach of 2026

CloudSEK's research on the LiteLLM supply chain attack, the largest AI supply chain breach of 2026, names the organizations potentially exposed: 2,500+ companies and 434,000 CI/CD pipelines worldwide.

https://www.cloudsek.com/blog/ai-supply-chain-breach-2500-companies-434000-cicd-pipelines

#AI

🤖 Putting models to the secure coding test: Plan vs default mode

Datadog tested Claude Sonnet 5, Composer 2.5, and GPT 5.5 in plan vs. default mode for secure code generation. No meaningful correlation between plan mode and improved security was found; explicit prompt-level security constraints had greater impact than mode selection.

https://securitylabs.datadoghq.com/articles/putting-models-to-the-secure-coding-test-plan-vs-default-mode

#AI

🔶 Threat hunt AI: How we built an AI security analyst on AWS for under $500/month

Grow Therapy built a Claude-powered threat hunting system on ECS Fargate and Lambda, querying Snowflake and Datadog logs across 15 sources. A five-phase AI pipeline (data gathering, baseline comparison, enrichment, confidence scoring, adversarial validation) reduces false positives. Total cost: under $500/month.

https://engineering.growtherapy.com/post/threat-hunt-ai-how-we-built-an-ai-security-analyst-on-aws-for-under-500-month

#aws

⚠️ Going depthfirst: Achieving GitLab RCE via Two Ruby Memory. Corruption Vulnerabilities

Researchers chained two memory-safety flaws in Oj, into remote code execution in a Puma worker. The path begins with an attacker-controlled Jupyter notebook and crosses GitLab, ipynbdiff, CRuby, and jemalloc before reaching function-pointer control.

https://depthfirst.com/research/going-depthfirst-achieving-gitlab-rce-via-two-ruby-memory-corruption-vulnerabilities

#RCE

🤖 Building an Advanced Agentic Harness

How to build a production-grade agentic harness using typed Pydantic tools, a DAG planner with parallel asyncio execution, tiered memory, Planner/Worker/Critic role separation, multi-dimensional budgeting with graceful degradation, and structured tracing for observability.

https://data4sci.com/blog/building-an-advanced-agentic-harness

#AI

🔶 A few notes on AWS Nitro Enclaves: KMS integration

This third installment in Trail of Bits' Nitro Enclaves series catalogs passive and active attack classes against enclave-KMS communication, covering CMK substitution, data key swapping, replay attacks, policy misconfigurations, key commitment gaps, and operational risks.

https://blog.trailofbits.com/2026/08/05/a-few-notes-on-aws-nitro-enclaves-kms-integration

#aws

🔶 How AWS IAM role manager rethinks the starting point for IAM roles

AWS IAM role manager automates IAM role creation within supported service consoles, eliminating manual role setup. Using managed role templates and a new AcquireRole API, it provisions and attaches least-privilege roles automatically. Roles remain fully customer-controlled and refinable via IAM Access Analyzer.

https://aws.amazon.com/ru/blogs/security/how-aws-iam-role-manager-rethinks-the-starting-point-for-iam-roles

#aws

🤖 Orchestrating AI Code Review at scale

Cloudflare built a CI-native AI code review system using OpenCode, orchestrating up to 7 specialised agents (security, performance, code quality, etc.) per merge request.

https://blog.cloudflare.com/ai-code-review

#AI

🔶 HIPAA Security Rule on AWS

AWS released a whitepaper guiding covered entities and business associates on implementing HIPAA Security Rule Technical Safeguards on AWS, covering access control, audit, MFA, encryption, and 2025 NPRM proposed changes, with shared responsibility mapping and ePHI architecture guidance.

https://aws.amazon.com/ru/blogs/security/hipaa-security-rule-on-aws-technical-safeguards-implementation-and-readiness-guidance

#aws

🔴 Cloud CISO Perspectives: Why AI Threat Defense is the new boardroom baseline

Google Cloud CISO Chris Betz argues that AI-native threat defense is now a board-level requirement. Boards should govern five areas: business enablement, remediation cycle speed, platform consolidation, contextual vulnerability prioritization, and AI safety policy to enable secure, AI-driven business agility.

https://cloud.google.com/blog/products/identity-security/cloud-ciso-perspectives-why-ai-threat-defense-is-the-new-boardroom-baseline

#gcp

👩‍💻 CosmosEscape: Taking Over Every Azure Cosmos DB

Wiz Research found CosmosEscape, a critical vulnerability in Azure Cosmos DB's Gremlin API enabling sandbox escape via .NET reflection. Attackers could obtain a platform-wide Cosmos Master Key granting full read/write access to any customer database and enumeration of all accounts.

https://www.wiz.io/blog/cosmosescape-taking-over-every-database-in-azure-cosmos-db

#azure

🤖 Before the first prompt: Code execution paths in trusted coding-agent projects

Trusted coding-agent projects can execute repository-controlled code before the first user prompt via MCP server configs or PATH hijacking in .claude/settings.json. Developers should treat project trust like running an arbitrary setup script.

https://securitylabs.datadoghq.com/articles/coding-agent-project-trust-code-execution-before-first-prompt

#AI

🔶 Investigating Persistence Mechanisms in AWS

Rapid7 Labs details four AWS persistence techniques used by attackers: rogue IAM user creation, backdoored assume role policies granting external account access, malicious Lambda functions provisioning privileged users, and federated user sessions that survive key rotation. Includes LEQL detection queries and remediation steps.

https://www.rapid7.com/blog/post/dr-investigating-aws-persistence-mechanisms

#aws

🤖 AI Worming through Word

A coordinated disclosure with MSRC demonstrating a document-borne AI worm in Microsoft Copilot for Word: hidden XPIA prompts in source documents cause Copilot to alter generated content and self-propagate the malicious instructions into downstream documents.

https://enklypesalt.com/posts/context-collapse-part3-ai-worming-through-word

#AI