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Threat Matrix: Mapping threats across cloud web applications
Microsoft released a Cloud Web Applications Threat Matrix, a MITRE ATT&CK-aligned framework mapping threats to cloud-hosted web apps and serverless platforms.
Microsoft introduced the cloud web applications threat matrix, which organizes attack techniques for cloud-hosted web apps and serverless platforms using MITRE ATT&CK tactics, from resource development through impact. The framework covers attack paths spanning application code, managed runtimes, workload identities, and deployment pipelines, cataloging techniques such as subdomain takeover, code injection in connected repositories, compromised registry images, exposed admin interfaces, and serverless trigger injection. It builds on Microsoft's earlier Kubernetes and storage services matrices to help defenders identify visibility gaps, prioritize hardening, and plan investigations in cloud-native environments.
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Give every teammate and agent the right level of access to your Workers
Cloudflare launches per-Worker granular access controls with four roles, enabling least-privilege access for teammates, AI agents, and CI/CD pipelines.
Cloudflare announced granular authorization for Workers, letting admins scope access to a single Worker instead of the whole account. Four new roles are available: Metadata Read-Only (observability without source code), Content Read-Only (read code without changes), Editor (deploy without delete), and Admin (full control of one Worker). Roles apply at Developer Platform, product, or resource level, can be attached to dashboard users or API tokens, and are available to all customers now, with plans to extend to D1, R2, and KV.
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Homebrew 7.0.0 Adds Built-In Vulnerability Scanner and Stronger Package Sandboxing
Homebrew 7.0.0 ships a native brew vulns scanner, OSV-backed advisory database, stronger sandboxing, and fixes a sandbox-escape issue.
Homebrew 7.0.0 introduces a built-in 'brew vulns' command that scans installed formulae, dependencies, and Brewfiles against a new Homebrew-specific advisory database and OSV.dev data, distinguishing backported fixes from outdated versions. The release hardens sandboxing by blocking home-directory reads during builds, disabling network access at install time, and replacing Bubblewrap with Landlock on Linux. It also fixes moderate-severity GHSA-5263-whxq-77hp, where a malicious cask could execute code outside the macOS sandbox via LaunchServices, and drops macOS Catalina while moving Intel Macs to Tier 3.
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Homebrew 7.0.0 gets built-in GUI, better security controls
Homebrew 7.0.0 adds a built-in vulnerability scanner (brew vulns), a Homebrew advisory database, stronger sandboxing, and the BrewUI GUI.
Homebrew 7.0.0 ships a native BrewUI graphical interface for macOS 26 Tahoe and later, plus a new 'brew vulns' command that queries OSV.dev in batch to flag vulnerabilities in installed formulae, specific packages, or Brewfile dependencies. The release also introduces a Homebrew-specific OSV-format advisory database distinguishing outstanding vulnerabilities from backported fixes. Sandbox improvements block home directory access by default and separate network-enabled dependency downloads from offline installs.
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Akeyless adds real-time enforcement for AI agents in production
Akeyless launches Agentic Runtime Authority, enforcing real-time intent-based access control on AI agent actions, with integrations for Claude Enterprise, OpenAI Codex and Amazon Bedrock AgentCore
Akeyless announced general availability of Agentic Runtime Authority, a real-time identity control layer that evaluates AI agent actions and blocks policy-violating actions before execution, layered on top of its SecretlessAI credential brokering. New integrations cover Claude Enterprise, OpenAI Codex and Amazon Bedrock AgentCore, alongside an Agentic Access Dashboard with session kill switches and event forwarding to Splunk, Datadog and Microsoft Sentinel. The vendor's platform already secures over 220 billion machine identity interactions for Fortune 500 organizations.
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Product showcase: Doppler secures secrets for humans, pipelines, and AI agents
Doppler's secrets management platform centralizes credentials for engineers, CI/CD pipelines, MCP servers, and AI agents with runtime injection and dynamic secrets.
Doppler stores API keys, database URLs, tokens, and certificates in a single control plane and injects them at runtime, replacing .env files for human and machine identities including AI agents. It supports OIDC with short-lived identity tokens for Azure, AWS, and GCP, dynamic secrets scoped and time-boxed to single sessions, SCIM provisioning, 50+ integrations, and an MCP server that lets agents request configurations natively. Permissions are enforced at each layer so raw secrets stay out of logs, prompts, and model context, with versioning, rollback, SIEM log forwarding, and cloud or on-prem deployment.
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LastPass enhancements improve visibility, governance, and control
LastPass releases SaaS monitoring enhancements, Mobile Smart Scanner, and auto-enrolled dark web monitoring across its password management products.
LastPass announced enhancements to SaaS Monitoring and SaaS Protect in its Business Max offering, including Persistent Monitoring that keeps visibility active through the browser extension even when users are signed out, fully released as of July. It launched Mobile Smart Scanner to convert printed, handwritten, or screenshot passwords into vault credentials, and began phasing in automatic enrollment of all consumer accounts in dark web monitoring. The company also completed its transition to a Unified Admin Console, added company-wide onboarding links, and passed SOC 2 and ISO 27001/27701 audits with zero findings for the second consecutive year.
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TruffleHog AWS Analyze reduces remediation time on leaked AWS credentials
Truffle Security launched TruffleHog AWS Analyze, which maps leaked AWS keys' permissions and role assumptions; research found 88% of 64,024 leaked keys still active.
Truffle Security announced TruffleHog AWS Analyze, a TruffleHog Enterprise feature that enriches leaked AWS credentials with identity, effective permissions, and role-assumption context to help teams assess blast radius and prioritize remediation, extending earlier coverage of SaaS and Google Cloud to AWS. Truffle Security research on 64,024 unique leaked AWS keys found 88% still active, a median exposure of five years, only 14% rotated, 84% with full administrator access, and 1 in 6 being root keys, including 929 keys AWS had flagged via its compromised-key quarantine policy that still authenticated. A scan of 7.6 petabytes of public AI training data on Hugging Face found 3,343 live AWS keys, over 900 of which could list S3 buckets holding at least 51.7 TB of private data.
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Can AI make threat intelligence easier? One platform thinks so
Feedly positions its AI-driven Threat Intelligence platform to cut CTI collection time, scanning 10,000+ sources with 1,000 AI models and reporting 70% time savings.
A profile of Feedly Threat Intelligence describes how CTI teams such as RH-ISAC reduced threat data collection from 10 hours weekly to 2-3 hours after adoption. The platform scans over 10,000 open web sources using 1,000 AI models to extract TTPs, CVEs and IoCs into a real-time Threat Graph queryable via an Ask AI LLM with source citations. Customers including GreyNoise, Sopra Steria, gematik and GISA reported measurable gains such as 20 hours saved daily and earlier vulnerability flagging than CISA 65% of the time. The product integrates with Anomali ThreatStream, Cortex XSOAR, Microsoft Sentinel and OpenCTI, plus a REST API and GitHub scripts.
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Wazuh and AI For Enhanced SOC Workflows
Wazuh details AI-powered SOC workflows via its AI Analyst, self-hosted Llama 3 via Ollama, and Claude 3.5 Haiku integrations.
Wazuh outlines how AI can augment SOC analysts handling high alert volumes. The Wazuh AI Analyst on Wazuh Cloud uses Amazon Bedrock and Anthropic Claude to generate scheduled security posture reports. Self-hosted options include Llama 3 with Ollama, FAISS, and LangChain for privacy-sensitive threat hunting, plus an OpenSearch Assistant integration with Claude 3.5 Haiku. This is a vendor-contributed piece describing product capabilities rather than an incident or vulnerability.
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