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LLM inference in C/C++. Contribute to ggml-org/llama.cpp development by creating an account on GitHub.
llama.cpp11 min read
Checkmarx Blog
Stay updated with the latest developments in Artificial Intelligence
Agents on live hardware: reason where you must, engineer everywhere else
CoreWeave Blog10 min read
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llama.cpp1 min read
Manual triage is where backlogs are born. Checkmarx Triage & Remediation Assist is how they’re cleared.
Where do application security programs lose time and create a backlog? Not in the detection itself, but in the gap between detection and an approved fix. Every finding that reaches your team opens four questions before anyone can act on it: Detection only surfaced the problem.
Checkmarx Blog8 min readSeverity Is Not a Strategy: What CISA BOD 26-04 Means for the Future of Federal Software Security
CISA’s latest directive shifts the focus from severity or number of findings to the actual risk context when deciding how to remediate. For federal cybersecurity teams, that shift is becoming increasingly important as vulnerabilities are discovered faster than teams can fix them.
Checkmarx Blog8 min readThe Regulators Already Assume You Have an AI Inventory. Do You?
The regulators are done with “Trust as policy”. That chain used to be an internal maturity problem, something a security program could work on over time: A developer trusts AI-generated code because it compiles. A reviewer trusts an AI-generated summary because it reads plausibly.
Checkmarx Blog6 min readThere Is No Patch Tuesday on the Blockchain: Why Solidity Developers Need Fusion-Grade AppSec Before They Deploy
For most software teams, security is a race against a clock. The median time from vulnerability disclosure to weaponization has collapsed from 840 days to 1.6 days, and 80% of exploitations now occur on or before the day of disclosure. That’s bad.
Checkmarx Blog5 min readThe Next Model Won’t Fix This: Three AppSec Imperatives From Black Hat USA 2026
Black Hat USA 2026 didn’t introduce the AI security problem, but made it clear how fast that problem is becoming operational. An independent study initiated and funded by Checkmarx helps explain why.
Checkmarx Blog8 min readWhat Is Checkmarx Fusion?
Now available in Early Access for SAST within Checkmarx One, Checkmarx Fusion adds a new detection layer that advances vulnerability-finding accuracy beyond what rules-based scanning or an AI model can achieve alone.
Checkmarx Blog8 min readRisk, Return, and Remediation: An Investment Strategy for Application Security
Learn why a hybrid application security strategy combining deterministic tools and AI delivers better protection, lower costs, and faster remediation for AI-generated code.
Checkmarx Blog6 min readZombie CVEs: Put to Rest by Humans, Dug Back Up by AI Agents
New research: 65–75% of frontier AI agents’ working patches resurrect vulnerabilities that were already found, fixed, and buried. In 2023, a path traversal vulnerability in Starlette, one of Python’s most popular web frameworks – was found, disclosed as CVE-2023-29159, and fixed. Case closed.
Checkmarx Blog4 min readCheckmarx One for Government Achieves FedRAMP Moderate Certification
Checkmarx One for Government (CxG) has officially achieved FedRAMP Certified status at the Moderate Impact Level.
Checkmarx Blog7 min readYou’re Securing Your Code. But Are You Securing the AI Inside It?
Modern applications don’t just run on code anymore. They run on models, agents, embeddings, datasets, and autonomous tools like MCP servers. Developers are pulling pre-trained LLMs from Hugging Face, integrating open-source agent frameworks, and wiring up AI pipelines faster than security teams can…
Checkmarx Blog8 min read
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