60
30
55
55
55
Scaling Verification of Cryptographic Software with Aeneas, Rust, and Lean
Microsoft SymCrypt implementations of SHA-3 and ML-KEM verified in Lean via Aeneas-extracted Rust models, with AI agents writing proofs.
The paper develops a methodology for verifying production Rust cryptographic code by using Aeneas to extract pure models into Lean, avoiding low-level pointer and aliasing reasoning. Applied to Microsoft's SymCrypt, it verifies SHA-3 and ML-KEM implementations ported from C to Rust and extends SymCrypt with FrodoKEM, ML-DSA, and HPKE. A 237 KLOC Lean development establishes safety, panic-freedom, and functional correctness of 16.7 KLOC of Rust supporting post-quantum cipher suites on x86-64 and ARM. AI agents autonomously write formal proofs verified by the Lean kernel, and evaluation shows verified Rust meets SymCrypt's performance and portability requirements.
42
55
60
55
How well do agents use test/verification techniques?
Dan Luu's eval finds coding-agent testing instructions (TDD, formal methods, PBT, skills) mostly fail to beat defaults on Zstd implementation correctness.
The author ran 26 prompt conditions plus 4 skills on a Zstd-in-Rust implementation eval using codex with GPT-5.6, testing TDD, fuzzing, property-based testing, formal methods (Lean 4, TLA+, Verus, Kani, SMT solvers) and community skills. Nothing dramatically outperformed the default no-instruction condition, which did above average; at xhigh effort, fuzzing and PBT conditions did slightly better than formal methods. Pre-registered predictions included TDD underperforming and popular test skills (ECC, Hegel, Trail of Bits) not outperforming. Results are averages of 80 runs per condition plotted against cost.
38
60
55
55
57
StochBench: A Domain-Specific Benchmark for Stochastic Processes in Lean
StochBench introduces 450 graduate-level stochastic-processes problems in Lean 4; an Opus 4.8-based agent proved 34.9% under a 15-minute limit.
StochBench is a Lean 4 benchmark of 450 graduate stochastic-processes problems, each paired with its natural-language source, covering Markov chains, renewal processes, martingales, Brownian motion, stochastic calculus, weak convergence, and Poisson and continuous-time Markov processes. The benchmark addresses field-specific applied mathematics underrepresented in Mathlib, unlike competition-math-dominated suites such as IMO and Putnam collections. An Opus 4.8-based agent achieved a 34.9% proof rate (157/450) under a 15-minute per-problem limit, showing the benchmark remains challenging for advanced provers.
25
55
60
60
30
60
57
42
60
30
30
15 Minutes Saved Per Alert: How a Lean German Manufacturer Protects 10,000 Endpoints with ANY.RUN
A five-person security team at a German manufacturer protecting 10,000 endpoints cut triage time by 15 minutes per alert after adopting ANY.RUN's cloud sandbox.
Philipp Z., Security Lead at a leading German manufacturer, described how a five-person team protects 10,000 endpoints and users using ANY.RUN's Interactive Sandbox in a private cloud. The firm previously relied on a single air-gapped forensic laptop running Flare VM, which caused 5-10 minute setup delays, single-user bottlenecks, and selective triage. The switch reportedly saved roughly 15 minutes per alert and reduced forced wiping and reimaging of user machines. ANY.RUN data cited in the piece puts manufacturing security workloads 22% above other major industries.
18
55
45
30
Ransomware Now Shows Up in Nearly Half of All Breaches: A Survival Playbook for Lean Security Teams
Cyble reports 5,967 ransomware attacks in 2025, up 50%, accounting for nearly half of all tracked breaches.
Cyble's Global Cybersecurity Report 2025 documented 5,967 ransomware attacks, a 50% year-over-year jump. Against 6,046 data breaches and leaks recorded in the same period, ransomware accounted for 49.7% of the combined total. The blog lays out an incident response playbook for lean security teams facing this dominant threat.
30
55
60
55
30
60
55
60
60
60
55