Nine AI SAST tools ranked for 2027, from Endor Labs to Checkmarx, Semgrep, and more, compared on detection, triage, fixes, and the context their AI reasons over.

AI SAST combines program analysis, dataflow tracing, and LLM reasoning to find logic flaws rule-based SAST misses. Learn how it works and how to evaluate tools.

ML-DSA and SLH-DSA are final, FN-DSA is pending, and 9 round-3 candidates remain. Dates, deadlines, migration steps.

RSA has signed the internet’s certificates for three decades. ML-DSA, finalized by NIST in August 2024, is the algorithm built to take over once quantum computers make RSA’s math solvable in practice.

A 450-task benchmark built from real CVEs shows even the best AI coding agent writes code that's both working and secure only ...

OpenAI has designed a working hardware device in under a week using its latest ...

Leffen is one of many non-experts who are now using large language models (LLMs) to break historical codes. Their efforts harness the LLMs’ ability to rapidly deploy decryption algorithms while also ...

Apache Spark 4.3 brings stateful streaming with millisecond-scale latency, history-preserving Auto CDC, and faster data and ...

Traditional Java decompilers (like JD-GUI, standalone Fernflower, or CLI CFR) are built for manual human inspection: they dump entire archives to disk, emit thousands of lines of code into a single ...

Here’s what you’ll learn when you read this story: A cybersecurity professional used an OpenAI model to solve a cipher embedded in a letter sent on Napoleon Bonaparte’s orders in 1809. The ...

You apply an AI-generated patch. The build passes. Existing tests also pass. You run the PoC that reproduced the ...

Critical RCE flaws, millions of exploit attempts, rogue AI agents, supply chain attacks, leaked keys, and more.