Search: “hybrid workflows”

Observational Indistinguishability and Integrity Blind Regions in Hybrid Quantum-Classical Workflows

Framework formalizes integrity blind regions in hybrid quantum-classical workflows, validated across 3,600 label interventions with conformal detection rules.

The paper presents a claim-relative evidence and reference framework for integrity of hybrid quantum-classical workflows, distinguishing structural blind regions caused by observational indistinguishability from finite-batch statistical misses. Experiments over 3,600 label interventions show exact label-path invariance for feature and prediction views. The geometry-aligned construction detects 343 of 2,700 conclusion-changing interventions using the conformal rule and 1,183 of 2,700 with the uncorrected union, with executed conformal clean false-action rates of 0.048-0.059.

arXiv cs.CR·Sep 15, 13:16 UTC · 1d agoResearch

IBM partners with global universities to develop a quantum-centric supercomputer

Help Net Security·May 22, 00:00 UTC · May 22, 2023Research

AI & Humans: Making the Relationship Work

Schneier on Security·Jan 8, 12:05 UTC · Jan 8, 2026Research1

Box Sign delivers unlimited signatures to customers at no additional cost

Help Net Security·Jul 28, 00:00 UTC · Jul 28, 2021Research

Cost of lagging DevOps and microservice enablement? $34 million per year

Help Net Security·Jun 13, 00:00 UTC · Jun 13, 2018Research

Automating Attack Graph Construction for Agentic Pentesting. Towards Neuro-Symbolic Vulnerability Hunting

Semi-automated pipeline converts Trivy, Semgrep, Nmap output into MulVAL attack graphs for agentic pentesting, 53.7% mean vulnerability coverage in CyBench.

The paper presents a semi-automated pipeline that parses Trivy, Semgrep, and Nmap findings into MulVAL predicates and uses an LLM-assisted process to build domain-specific Datalog rules linking scanner evidence to attack techniques. MulVAL/XSB then performs symbolic inference to generate structured, auditable attack paths for agentic pentesting. Evaluated on 54 web CTF tasks from CyBench, every task produced at least one goal-reaching graph with 53.7% mean ground-truth vulnerability coverage, 51.9% full coverage, and an 83.9% noise-path rate. Median end-to-end runtime was 24.9 seconds, making the pipeline runtime-practical for agentic workflows.

arXiv cs.CR·Sep 14, 13:13 UTC · 2d agoResearch

Firmware scanning time, cost, and where teams run EMBA

Help Net Security·Jan 14, 00:00 UTC · Jan 14, 2026Research1

Xerox improves productivity and security for hybrid workers

Help Net Security·Apr 12, 00:00 UTC · Apr 12, 2023Research

Cyolo Product Overview: Secure Remote Access to All Environments

The Hacker News·May 17, 09:18 UTC · May 17, 2023Research

Apple Reference Image: A New Approach for Verified Photography

Apple introduces Reference Image, hardware-backed verifiable photography on iPhone 18 Pro using sensor signing and Private Cloud Compute to counter AI-generated fakes.

Apple announced Reference Image, an opt-in camera mode debuting on the main sensor of iPhone 18 Pro and iPhone 18 Pro Max that produces securely timestamped, verifiable photographs. The design splits into two phases: a secure digital negative created by cryptographically signing pixel data at the sensor immediately after capture (preventing injection or tampering), then developing that negative into a reference image. Private Cloud Compute handles processing without exposing image contents to anyone, including Apple, and fraudulent reference images can be revoked without revealing the photographer's identity. Apple positions the system as stronger than C2PA-based approaches, which sign metadata after capture, are vulnerable to editing-chain compromise, and can tie images to a device or individual.

Hacker News · security·Sep 16, 02:07 UTC · 1d agoResearchHN 25↑ · 18 comments

Splunk enhances security solutions to help organizations embrace digital transformation

Help Net Security·Oct 20, 00:00 UTC · Oct 20, 2021Research