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Fix the driver behind crashes, sound loss and screen glitchesFind Drivers →Clear out junk files and repair common Windows errorsFree Scan →Semgrep announced a $100 million Series D on February 5, 2025, led by Menlo Ventures. The company said the round brought its total funding to $204 million. The financing supports Semgrep’s application security platform, which combines code, dependency, and secrets scanning with AI-assisted triage and remediation.
What Semgrep announced
Semgrep said Menlo Ventures led its Series D. Existing investors participating in the round included Felicis Ventures, Harpoon Ventures, Lightspeed Venture Partners, Redpoint Ventures, and Sequoia Capital. The company reported $204 million in total funding after the raise. Semgrep’s February 5, 2025 announcement framed the capital as support for building an autonomous code security platform.
The announcement also said Semgrep Assistant had launched about two weeks earlier. Semgrep described Assistant as helping find, triage, prioritize, and fix important security issues; those are the company’s descriptions of its product, not independently verified performance findings.
What the Semgrep AppSec Platform covers
Semgrep’s product materials describe a suite spanning application code, third-party dependencies, secrets, and AI-supported security workflows. The company’s named product areas are:
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- Semgrep Code: static application security testing (SAST) for identifying potential security issues in first-party code.
- Semgrep Secrets: detection of secrets in code, such as credentials or tokens.
- Semgrep Supply Chain: software composition analysis (SCA) for dependencies.
- Semgrep Assistant: AI-assisted triage and code-fix recommendations.
- Semgrep Pro Engine: an engine that Semgrep says includes dataflow analysis.
The company’s product page also describes findings in pull requests and diff-aware scans that focus on code changes. These are vendor-described features, and product availability may vary or change. See Semgrep’s AppSec Platform product page for its current descriptions.
How Semgrep says it combines static analysis and AI
In the Series D announcement, CEO Isaac Evans described Semgrep’s approach as combining conventional static analysis and dataflow techniques with large language models. In Semgrep’s account, static analysis supplies structured detection, while LLMs contribute context and explanations that can help developers understand and address findings. Evans summarized the goal as making Semgrep “like hiring an AppSec engineer to do the boring work.”
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Evans also acknowledged limitations he associates with LLMs: nondeterministic output, opacity, hallucinations, and smaller context windows. He contrasted those limits with conventional static analysis, which he said can miss contextual clues. This is Semgrep’s explanation of its design rationale; the announcement does not establish how the architecture performs across tools or workloads.
What the company-reported figures do—and do not—show
Semgrep said its SAST, SCA, and Secrets suite served hundreds of customers when it published the February 2025 funding announcement. That is a dated company statement, not a verified current customer count.
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Outbyte Driver Updater FREEScan for outdated or missing drivers - takes under a minuteDriver Scan →Outbyte PC Repair FREEClear out junk files and repair common Windows errorsFree Scan →Semgrep also reported 96% security researcher agreement for identifying true positives in a February 2025 post. The material accompanying that figure does not provide enough evaluation methodology to independently assess it, so it should be treated as a company-reported result rather than a comparable benchmark. Semgrep’s claim that its platform should be the “lowest-noise, highest signal” option is likewise product positioning, not an independently established ranking.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Why the funding matters to buyers and developers
The raise signals investment in a platform that aims to bring code scanning, dependency analysis, secrets detection, and AI-assisted handling of findings into developer workflows. For teams assessing such tools, the useful questions are practical: which languages and repositories are covered, how findings are prioritized, how false positives are handled, where analysis runs, what data is sent to AI services, how fixes are reviewed, and how the tool fits into pull requests and existing security processes.
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The funding announcement does not answer those evaluation questions or establish that Semgrep outperforms alternatives. It is evidence of a financing event and of the company’s product direction, not an independent security-tool comparison. Semgrep CEO Isaac Evans’s vision should also be read as a stated objective; investor Matt Murphy of Menlo Ventures similarly described Semgrep as positioned to secure code without sacrificing development velocity, an investor perspective rather than a measured result. Read the announcement and its product claims.
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