Topic
Jira
Enodia: Open-Source Go Tool Automates Service Inventory, EOL Tracking and CVE Correlation
Vulnerabilities & Exploits
Atlassian October Security Bulletin Flags 176 Third-Party Library Vulnerabilities Across Jira, Confluence and Bitbucket
Vulnerabilities & ExploitsSnowflake GitHub Actions Workflow Flaw Enabled Command Injection and Jira Token Theft
Vulnerabilities & ExploitsVK Introduces Security Gate: Internal AppSec Platform for Code, Dependency and Container Security
VK has detailed its internal Security Gate platform, which combines SAST, SCA, secret detection and container scanning to identify security issues across more than 40,000 repositories. The system applies custom prioritization rules, dynamic metadata analysis and an LLM-based triage module called VK Triage to reduce false positives and focus developer attention on exploitable findings. Security Gate integrates directly with corporate GitLab for automatic project onboarding, badge reporting and merge-request checks via the Fast Scanner service. It also monitors open-source dependencies for protestware, malware and reachable vulnerable methods, while supporting a wide range of languages including Python, Go, Java and Swift. Additional features include Jira linking, cross-branch triage, SBOM export and automated alerts through VK WorkSpace bots.
Anthropic Launches Claude Security Plugin to Let Claude Review Its Own Code in Terminal Workflow
Anthropic has released the Claude Security plugin in beta, embedding it directly into the Claude Code terminal workflow so developers can scan uncommitted changes or run full repository scans without switching tools. The plugin uses a multi-agent system that reads code, maps architecture, identifies potential threats, and verifies findings to reduce false positives before suggesting style-matched patches. Unlike traditional rule-based scanners, it focuses on cross-file logic issues, memory corruption, injection flaws, authentication bypasses, and complex business logic errors by analyzing Git history and data flows. Early users praise the verification step that builds trust, though Anthropic provides no public false-positive or false-negative statistics yet. The tool deliberately avoids automatic commits, requiring human review for every fix, and integrates with Slack, Jira, CSV, and Markdown exports for existing security workflows. Costs can rise with large scans due to token usage, making incremental or directory-limited scans more practical for teams. Overall, the release represents an effort to add researcher-level AI analysis into daily development cycles as a supplement rather than a replacement for SAST, DAST, or human security teams.