SShortSingh.
Back to feed

77% of Firms Hit by Software Supply Chain Attacks in Past Year, Omdia Finds

0
·1 views

A Docker-sponsored Omdia survey published on August 4 found that 77 percent of organizations experienced a software supply chain security incident in the preceding twelve months. Exploits targeting known vulnerabilities in third-party software remained the leading attack type at 38 percent, while AI has emerged as the top-ranked supply chain risk, cited by 40 percent of respondents. Reported consequences included unauthorized access to applications and data (46 percent), SLA disruptions during remediation (37 percent), and theft of developer credentials or secrets (35 percent). Omdia projects that third-party code will account for 58 percent of organizational codebases within a year, up from a current majority share reported by 38 percent of respondents. Sixty-two percent of teams anticipate increased supply-chain security spending in the next budget cycle, while 45 percent do not currently rate their own supply chain security as adequate.

Read the full story at DEV Community

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

Log in to join the discussion and vote.

Log in

Related stories

0
ProgrammingDEV Community ·

Sylvarcon 2049 Launches Story-Driven Cybersecurity CTF with 14 Free Missions

A team of developers has released Sylvarcon 2049, a narrative-based capture-the-flag platform designed to teach cybersecurity through interconnected story-driven investigations. Unlike traditional CTF platforms that present isolated technical challenges, Sylvarcon 2049 embeds each mission within a broader cyberpunk case narrative called the Lazarus Protocol. Players progress through missions combining digital forensics, OSINT, ethical hacking, and evidence analysis using managed remote labs. The platform currently offers 14 free missions across 11 interface languages and is available as a live product. The developers are actively seeking early users to test missions and provide feedback to guide future development.

0
ProgrammingDEV Community ·

TokenMizer Uses Graph Memory to Give LLMs Persistent Context Across Sessions

A developer has built TokenMizer, an open-source proxy tool that sits between applications and OpenAI-compatible APIs to give large language models persistent memory across sessions. Unlike conventional approaches that re-inject full chat histories into the context window, TokenMizer extracts entities and relationships from conversations and stores them as a graph using SQLite. The system requires no changes to existing application code — developers simply redirect their API base URL to TokenMizer instead of OpenAI. A built-in visual explorer powered by D3.js lets users inspect the memory graph and trace how past context is being retrieved. TokenMizer is available as a pip-installable Python library and also supports the Model Context Protocol, allowing the same memory graph to be accessed across different tools and editors.

0
ProgrammingHacker News ·

Truemetrics Seeks Founding GTM Lead in Berlin

Truemetrics, a Y Combinator S23 batch startup, is hiring a Founding Go-to-Market (GTM) Lead based in Berlin. The job listing was posted on the Y Combinator company jobs board. The role appears to be an early and senior position focused on building the company's market entry strategy. No further details about compensation, requirements, or team size were publicly disclosed in the listing.

0
ProgrammingDEV Community ·

ContextOS Tackles AI Coding Agent Failures in Large Repositories

AI coding assistants frequently struggle with large codebases not because of reasoning limitations, but due to flawed retrieval methods that break code structure when chunking files arbitrarily. Standard RAG systems rely on character-count chunking and vector embeddings, which destroy function boundaries and turn exact symbol lookups into probabilistic guesses. A developer has built ContextOS, a local-first context engine that uses Tree-sitter to parse repositories into logical code units and prioritizes deterministic lexical search via SQLite FTS5 over embeddings. In benchmarks against the Redis 7.x codebase, ContextOS achieved 98% file-level recall for exact-function queries while averaging only 589 tokens per query, compared to the tens of thousands typically consumed. The tool operates as a Model Context Protocol server, making it compatible with AI coding clients like Cursor and Claude Desktop.

77% of Firms Hit by Software Supply Chain Attacks in Past Year, Omdia Finds · ShortSingh