Search: “semiconductors”

Cybersecurity jobs available right now: June 9, 2026

Help Net Security lists open cybersecurity roles at firms like Lockheed Martin, ByteDance, Nordic Semiconductor, and General Motors across AppSec, cloud, and compliance.

A June 2026 roundup aggregates cybersecurity openings spanning application security, cloud security, compliance, reverse engineering, and deepfake forensics across the US, UK, Israel, Ireland, Norway, Singapore, India, and Canada. Most listed positions are marked as no longer accepting applications.

Help Net Security·Sep 7, 12:56 UTC · 9d agoIndustry1

Building the materials foundation for AI

Syensqo's CTO says AI pushes semiconductors and data centers to physical limits, driving advanced materials demand and AI-accelerated materials discovery.

MIT Technology Review's Business Lab podcast, produced in partnership with Syensqo, features CTO Mike Finelli discussing how AI workloads push semiconductors and data centers to physical limits in performance, thermal management, and reliability. Syensqo develops high-voltage data center materials, semiconductor sealing materials, and immersion cooling fluids, while using AI agents to digitally synthesize millions of molecular combinations and predict performance before lab testing. Finelli describes a reinforcing cycle where AI improves materials that in turn enable better AI infrastructure.

MIT Technology Review · AI·Sep 16, 12:47 UTC · 12h agoAI industry

Deep Learning-Based Detection of Electrical Faults and Power Quality Disturbances in Aerospace Power Systems

Compact ResNet detects electrical faults in 400 Hz aircraft power systems with 95.87 percent accuracy after deployment on Xilinx Zynq MPSoC.

The study targets multiclass fault and power quality disturbance detection in 400 Hz aerospace networks using a high-fidelity simulation model inspired by the Boeing 787 electrical architecture, covering 21 normal, disturbance, switching, open-circuit, and short-circuit conditions. Two 73,500-sample datasets are built from 1D waveforms and STFT time-frequency representations, augmented with domain randomization and class-specific GANs, and the time-series dataset is released via IEEE DataPort. A compact ResNet with 175,685 parameters achieved 96.94 percent software test accuracy, and 95.87 percent after 8-bit quantization on a Xilinx Zynq UltraScale Plus ZCU102 with 6.90 ms mean accelerator latency per record.

arXiv cs.AI / cs.LG / cs.CL·Sep 9, 17:19 UTC · 7d agoAI research

Besxar is building an orbital semiconductor factory, one SpaceX rocket at a time

Besxar, founded by a former OpenAI staffer, raised ~$14M to prototype semiconductor manufacturing in orbit using SpaceX Falcon 9 booster flights.

Besxar, founded by former OpenAI staffer Ashley Pilipiszyn, raised almost $14 million, including a $9 million seed led by Dauntless Ventures and Overture VC, to build orbital semiconductor fabrication. Its first two "fabship" canisters flew on a July Starlink mission and returned wafer samples cleaner than comparable terrestrial wafers. The company plans to iterate over two years with a dozen Falcon 9 booster flights before flying larger fabs on Starship, targeting wafers for power-regulation chips used in data centers, robots, and electric vehicles.

TechCrunch · AI·Sep 9, 12:30 UTC · 7d agoAI industry

Hardware Fingerprinting FTQC via Quantum Decoder Timing

Quantum decoder timing on IBM Heron processors forms a side channel enabling device fingerprinting with 89% accuracy and workload inference.

The work demonstrates that wall-clock syndrome-decoding times on fault-tolerant quantum computers constitute a novel hardware side channel. Using per-shot decoder timings from three IBM Heron processors collected over 68 days, a passive observer can reconstruct detector-firing distributions, estimate logical error rate, infer code distance, and fingerprint the specific device with up to 89% accuracy versus 33% for random guessing. Noisy simulation based on Google's 105-qubit Willow processor distinguishes nine surface-code patches at 81% accuracy, showing the channel persists across vendors and code families.

arXiv cs.CR·Sep 10, 19:24 UTC · 6d agoResearch

AI supply chain risk is showing up in developer workflows first

Zentera Systems CEO says AI supply chain attacks currently hit developer workflows first, advising segmentation over tooling and citing the Phantom Raven campaign.

In an interview, Zentera Systems CEO Dr. Jaushin Lee argues that most active AI supply chain incidents target developer workflows and open-source package repositories, while poisoned model weights, compromised MCP servers, and poisoned vector stores remain largely in research and demos. He cites the active 'Phantom Raven' campaign, where attackers register AI-hallucinated package names in public repositories with malicious payloads that silently infect vibe-coding build pipelines. He recommends software-defined segmentation, semiconductor-style project enclaves with egress controls, and warns that self-hosting models without agent sandboxing leaves exposure unchanged.

Help Net Security·Aug 25, 00:00 UTC · 23d agoAI safety & security

DianShi-RxnDB: A Large-Scale, Fine-Grained Organic Reaction Data Platform Built via a Fully Automated Pipeline for Researchers and AI Agents

Researchers release DianShi-RxnDB, a database of roughly 24 million organic reaction instances extracted automatically from USPTO and EPO patents since 1976.

DianShi-RxnDB is built by a fully automated pipeline integrating patent text, images, and reaction schemes, yielding about 24 million reaction instances, of which 14.8 million (61.7%) pass automated qualification checks. Manual evaluation of 1,300 sampled instances showed 92.95% field-level accuracy, and comparisons with Pistachio found advantages in deduplicated record counts and granularity. The platform offers a web research workbench and a Model Context Protocol (MCP) service enabling AI agents to perform composable structured retrieval.

Hugging Face daily papers·Sep 5, 20:00 UTC · 11d agoAI research

ASML locks in TSMC, Samsung, and Intel while Huawei races to break its grip

ASML secures TSMC, Samsung, and Intel commitments for twelve-inch photomasks while Huawei funds China's DUV lithography push to bypass export controls.

ASML, the world's only EUV lithography maker, has locked in commitments from TSMC, Samsung, and Intel to move photomasks from six-inch to twelve inches, which ASML CTO Marco Pieters says could raise High-NA throughput by 40 percent; TSMC and ASML plan a test line by 2031 with production on High-NA tools by 2033. Meanwhile Huawei is orchestrating China's push to build DUV lithography equipment and reduce dependence on ASML, centered on Shanghai equipment maker Yuliangsheng, with SMIC testing the machines and Huawei's Habo fund backing Zeiss rivals and light-source developers. Bernstein analysts note the main bottlenecks remain projection lenses and light sources.

The Decoder·Sep 8, 15:11 UTC · 8d agoAI industry

Molecular Déjà Vu: Digit-Level Retrieval of Published Values in Frontier Language Models

Audit of 22 frontier models finds widespread verbatim retrieval of published molecular property values, with higher reasoning increasing recall of memorized numbers.

An arXiv audit tests 22 frontier LLMs across 12 molecular regression benchmarks for verbatim retrieval of published values. More than 50% of the LLMs show verbatim retrieval on five datasets, and identical experiments are flagged 89% more often at a high reasoning level than at the lowest one. Suppressing retrieval moves model prediction errors closer together in relative terms, suggesting predictive capability is not determined solely by memorized values.

arXiv cs.AI / cs.LG / cs.CL·Sep 4, 17:32 UTC · 12d agoAI research1

LLM-Driven Algorithm Design for Quantum Circuit Synthesis based on Binary Decision Diagrams

QuantumEvo uses an LLM to evolve BDD variable-ordering heuristics, achieving a 70.9% tie-or-win rate on quantum circuit cost versus baseline methods.

The QuantumEvo framework uses an LLM as a heuristic generator for quantum-cost-aware BDD variable ordering in reversible circuit synthesis, searching over heuristics initialized from multiple families and selecting them by downstream quantum circuit cost. The discovered heuristic HGA-QE modifies the sifting step inside a genetic algorithm and achieves a 70.9% tie-or-win rate against the per-function best baseline, with strict wins on 13.5% of functions. Advantages are clearer on benchmark suites not used for heuristic discovery.

arXiv cs.AI / cs.LG / cs.CL·Sep 4, 16:25 UTC · 12d agoAI research1

SK Hynix reportedly in talks with Intel to build memory chips in US

SK Hynix is reportedly negotiating with Intel to manufacture memory chips in the US, possibly leasing space at Intel's Ohio fab.

Reuters reports SK Hynix and Intel have discussed SK Hynix producing RAM in the US for the first time, including leasing space at Intel's planned Ohio factory or forming a joint venture that could include cloud-service providers; SK Hynix says nothing is finalized. The company is already building a $3.8 billion AI chip packaging and research facility in West Lafayette, Indiana, with mass production expected to begin in 2029, amid surging HBM demand from AI data centers. The potential deal could face a South Korean government review over transfers of strategically important chip technology, and follows Intel's 2020 sale of its NAND flash business to SK Hynix for $9 billion.

TechCrunch · AI·Sep 16, 13:23 UTC · 11h agoAI industry

Chinese Routers Sold Worldwide Contain Backdoors

Manufacturer-built backdoor implants were found in ZBT white-label routers sold worldwide, exposing affected devices to potential unauthorized access.

An untold number of ZBT routers distributed globally as white-label products contain multiple backdoor implants built into the devices by the manufacturer. The implants are pre-installed through the hardware and firmware supply chain rather than injected by attackers after deployment. The scale of affected deployments and whether the implants have been actively abused have not been disclosed.

Dark Reading·Aug 27, 19:31 UTC · 20d agoVulnerability

Unsolved Problem by Fields Medalist Breached by Two High School Students

Two high school students used Claude Opus 5 and GPT-5.6 Sol to help solve an open Lorentzian polynomials problem, posting a 75-page arXiv proof.

Aayush Bathija and Prince Rohatgi of Oak Park High School, mentored by UCLA postdoc Daniel Soskin, published the 75-page paper 'Bounded Ratios for Lorentzian Polynomials' (arXiv 2609.05341), solving an open problem in Fields Medalist June Huh's Lorentzian polynomial theory. The main structural theorem extends bounded coefficient-ratio characterization from quadratic to arbitrary-degree polynomials via discrete convexity conditions. The students used Claude Opus 5 and GPT-5.6 Sol for exploration and proof ideas but independently verified all arguments; the result follows an open letter from 25 Fields Medalists voicing concerns about AI's impact on mathematical rigor.

Hacker News · security·Sep 14, 12:23 UTC · 2d agoAI researchHN 22↑ · 19 comments

Injected and Leaked: Actively Inducing Side-Channel Leakage Using Electromagnetic Injection and Hardware Nonlinearity

Researchers introduce InjectEave, using electromagnetic injection and hardware nonlinearity to induce side-channel leakage and eavesdrop on headphone audio from 30 meters.

An arXiv paper shows electromagnetic injection can actively amplify side-channel leakage: nonlinear hardware such as amplifiers, ADCs, and power converters modulates secret electrical signals onto an injected EM carrier, upconverting low-frequency secrets into measurable EM emissions. By tuning injection frequency and amplitude, an adversary can shape the effective spectrum and entropy of the resulting leakage. The InjectEave attack demonstrated eavesdropping on wired and wireless headphone audio from up to 30 meters and in through-wall scenarios using accessible RF equipment, plus leakage of smart home device power consumption and analog sensor inputs. Case studies show closed-loop eavesdropping and manipulation of landline phone conversations, and the paper discusses mitigations.

arXiv cs.CR·Sep 4, 06:22 UTC · 12d agoResearch

New Italian unicorn Exein rides the physical AI wave

Italian IoT-security startup Exein raised $270 million at a $1.7 billion valuation to build a security layer for physical AI and edge devices.

Rome-based Exein raised a $270 million round led by Headline at a $1.7 billion valuation, becoming Italy's new unicorn, with plans for M&A and US/APAC expansion. The company claims over 2 billion connected devices secured across aerospace, industrial automation, automotive, energy, healthcare, and semiconductors using its Photon kernel-level runtime protection. Exein is training a foundational model for physical AI security on machine telemetry, targeted for Q1 2027, and reports 400% year-on-year growth. The EU Cyber Resilience Act, whose reporting obligations began last week, is expected to further boost demand.

TechCrunch · Security·Sep 15, 12:19 UTC · 1d agoIndustry

New Guidance Helps Businesses Verify Quantum-Safe Hardware Claims

TCG issued guidance to help businesses verify that trusted platform modules genuinely meet quantum-safe requirements.

The Trusted Computing Group (TCG) published new guidance aimed at proving that trusted platform modules (TPMs) genuinely satisfy essential quantum-safe requirements. The document gives businesses a way to validate vendor claims about post-quantum readiness in hardware security rather than trusting marketing assertions. This is a guidance publication, not an incident or vulnerability disclosure.

Infosecurity Magazine·Aug 24, 16:00 UTC · 23d agoAdvisory

When companies get specific about AI, revenue growth looks different

A Carnegie Mellon and Larridin study of 564 companies links specific AI disclosures to 8 points higher revenue growth, not margins.

Researchers at Carnegie Mellon University and Larridin analyzed 564 companies across 12 sectors using 478 10-K filings, more than 30,000 classified job postings and an AI maturity tracker. Companies at the top of 'narrative concreteness', meaning they named deployed AI systems with measurable outcomes, were associated with 8.0 percentage points higher year-over-year revenue growth, while no public AI signal predicted operating margins or risk-adjusted stock returns. AI infrastructure suppliers outperformed matched peers by about 32 percentage points over four months. The authors stress the findings show association, not causation.

Help Net Security·Aug 17, 00:00 UTC · Aug 17, 2026AI industry

Hoss: Fast Oblivious Semantic Search with Heterogeneous GPU-CPU-TEE Architecture

Hoss uses heterogeneous GPU-CPU TEEs for oblivious semantic search, achieving up to 67x speedup over the Compass ORAM-based system.

Hoss is a first-of-its-kind oblivious semantic search system built on a heterogeneous CPU-GPU TEE architecture, hosting hot-path HNSW graph traversal in large GPU TEE private memory and offloading lower graph layers to CPU TEEs. It invokes oblivious primitives only for lower-layer accesses and adds host-access ORAM and data-dependent optimizations. Benchmarked against prior state-of-the-art Compass, the prototype achieves up to 67x speedup while maintaining high recall, with larger gains at scale.

arXiv cs.CR·Sep 3, 22:21 UTC · 13d agoResearch

BigBear 2.0 phishing campaign hijacks Microsoft 365 sessions after MFA

CloudSEK uncovered BigBear 2.0, a PhaaS operation that captured 4,148 Microsoft 365 session cookies, hijacking authenticated sessions after MFA via AiTM proxy.

CloudSEK infiltrated the BigBear 2.0 phishing-as-a-service panel in June, finding 5,137 credential records tied to 461 organizations in over 40 countries, including 4,148 captured session cookies and 474 completed post-MFA logins. The operation, built on Evilginx2, uses an attacker-controlled reverse proxy to steal authenticated session cookies and residential proxies to defeat location-based Conditional Access checks, while custom code disables FIDO2/WebAuthn on phishing pages. At least five affiliates operated 42 VPS nodes, with IT services and managed service providers the most targeted sector.

CSO Online·Sep 8, 10:48 UTC · 8d agoPhishing & fraud in the wild1

NERVE Attacks: Breaking AI-Powered Brain-Computer Interfaces

Researchers characterize NERVE, five attack dimensions against AI-powered brain-computer interfaces, and release the EEGle framework uncovering 17 attack instances.

NERVE is a systematic attack class spanning the BCI stack across five orthogonal dimensions: Neuro-mimetic Forgery, Evasion via Desynchronization, Replay-based Hijacking, Vein Tapping, and Embedded Backdoors. The accompanying EEGle framework enables AI-assisted, extensible BCI security analysis and helped uncover 17 novel neuro-specific attack instances, revealing a stealth-effectiveness spectrum unique to BCI backdoor design. The authors show generative AI lowers the barrier to entry for non-expert attackers and release EEGle to the community.

arXiv cs.CR·Sep 8, 16:20 UTC · 8d agoResearch

New Ted Backdoor Hides Inside Victims' Own HAProxy Builds to Intercept Web Traffic

Rapid7 found a new backdoor, ted, compiled into trojanized HAProxy at two South Korean organizations, with medium-confidence attribution to North Korean actors.

Rapid7 documented a previously undocumented Linux toolkit named ted compiled into the HAProxy load balancer binaries of two South Korean organizations in the automotive and media sectors. The implant intercepts web traffic, serves altered pages only to filtered visitors, and hides C2 exchanges from backend logs and HAProxy statistics; a companion RAT, curlRAT, beacons on a default 12-hour schedule. The toolkit also trojanizes crond, sshd, agetty, atd, and polkitd binaries and sanitizes logs and bash history. Rapid7 attributes the activity with medium confidence to North Korean state-sponsored actors, with domain infrastructure overlapping APT37 listings in maltrail and delivery resembling the Operation SyncHole campaign.

The Hacker News·Sep 4, 14:51 UTC · 12d agoThreat actor in the wild

Post-quantum cryptography adoption and the national security implications

Opinion analysis argues quantum computing favors nation-state espionage, leaving lagging post-quantum adoption at critical infrastructure exposed to harvest-now-decrypt-later attacks.

A CSO Online opinion piece argues that the extreme cost and infrastructure requirements of quantum computers will concentrate cryptographically relevant quantum capability among nation-states and a few corporations, favoring espionage and economic espionage over criminal monetization. It highlights harvest-now-decrypt-later risk to long-lived secrets, expert warnings such as Filippo Valsorda's, and diverging CRQC timelines with Google suggesting possibly 2029. The piece predicts governments, banks, and targeted sectors will adopt PQC first while utilities, small hospitals, and local government lag, widening exploitable gaps in critical infrastructure reminiscent of Salt Typhoon-style access.

CSO Online·Sep 9, 09:00 UTC · 7d agoIndustry

Anthropic CEO outlines plan to ‘pace the frontier’

Anthropic CEO Dario Amodei proposes slowing frontier AI development, unilaterally committing to embedded third-party evaluators like METR and international safety coordination.

Dario Amodei published a blog post outlining three strategies to 'pace the frontier,' motivated by the OpenAI-HuggingFace hack and AI's accelerating capability gains. Anthropic is unilaterally committing to embedded third-party evaluators such as METR, giving them badges, desks, laptops, and access mostly comparable to internal risk teams. Amodei calls for safety coordination among democratic frontier labs, mediated by the US government with a narrow antitrust waiver. He argues chip export restrictions and crackdowns on model distillation could widen America's lead over China by 3-5 years.

TechCrunch · AI·Sep 12, 15:52 UTC · 4d agoAI safety & security2

Lessons from the hacks

The recent run of cyberattacks by in-development frontier models has got me thinking a lot about how our current incentive systems are not well suited for such fast technological transitions. The two primary power structures here are the rapidly growing technology companies and the federal government. The companies are incentivized to grow, so they can keep growing and keep scaling – in what is…

Interconnects·Aug 9, 14:57 UTC · Aug 9, 2026AI research

The push to designate AI as the next critical infrastructure sector

Americans for Responsible Innovation report urges designating AI models, companies and supporting infrastructure as critical infrastructure with CISA as sector lead.

A report from the nonprofit Americans for Responsible Innovation calls for the federal government to declare the AI sector — including frontier model designs, model weights, datacenters, AI hardware and semiconductors — the 17th critical infrastructure sector, with CISA as the lead agency for sector cyberthreats. The authors argue AI is concentrated among a handful of foundation models and interdependent with other sectors, so a single attack on the AI stack could cascade widely, citing incidents like Iranian drone attacks on Amazon datacenters. Former DHS officials note the designation would unlock federal resources such as CDM access and threat intelligence, but warn that picking a lead agency could trigger a bureaucratic turf war with Commerce and Treasury.

CyberScoop·Aug 20, 13:31 UTC · 27d agoAI policy

Getting ahead of ‘harvest-now-decrypt-later’: Post-quantum cryptography planning

Opinion piece urges organizations to begin post-quantum cryptography migration now, citing harvest-now-decrypt-later risk and NIST deadlines.

CSO Online outlines why harvest-now-decrypt-later makes long-lived sensitive data a current risk even before quantum computers exist. It cites NIST IR 8547 timelines deprecating RSA-2048 and ECC P-256 by 2030 and removing them by 2035, finalized FIPS standards ML-KEM, ML-DSA, and SLH-DSA, upcoming FN-DSA (FIPS 206), NSA requirements for national security systems from 2027, and UK NCSC phased guidance through 2035. The author recommends cryptographic discovery, crypto-agility, and prioritizing long-confidentiality data and TLS endpoints.

CSO Online·Sep 10, 09:00 UTC · 6d agoResearch

[AINews] Jev: a “System One Model” that only decides/classifies/routes/scores — >100x faster, >200x cheaper than small frontier LLMs

TypeSafe launches Jev, an RLCD-trained decision model claiming 20-200x faster, 40-400x cheaper classification than frontier LLMs, alongside Gemini 3.8 Live and Neon.

TypeSafe's Jev is a 'System One' decision model trained with RLCD, claiming 20-200x faster and 40-400x cheaper classification and routing than frontier LLMs with free output tokens and no hallucinated text. Google launched Gemini 3.8 Live and 3.8 Live Extended Thinking, supporting 97 languages and async tool calls, debuting #1 on Artificial Analysis' speech-to-speech index at 82.6. Periodic Labs' Neon is a ~1T-parameter XRD analysis model trained with RL on proprietary lab data using 1,300 H200s, lifting FrontierXRD success from 2.7% to 55.3% and beating GPT-6 Astra at lower inference cost.

Latent Space·Sep 16, 11:09 UTC · 14h agoModel release1

Edge infrastructure under siege: what two independent datasets reveal about who's exploiting your perimeter

Joint Tenable-SentinelOne analysis of 93 CVE-actor attribution pairs shows nation-state and criminal groups independently converge on the same edge infrastructure.

Tenable and SentinelOne jointly analyzed 93 CVE-actor attribution pairs covering exploitation of perimeter devices. The data shows state-sponsored and financially motivated actors independently target the same edge products from Ivanti, Fortinet, and Palo Alto Networks. The findings challenge the narrative that edge exploitation is exclusively a China-nexus nation-state problem, showing a broader shared attack surface.

Tenable Blog·Aug 26, 13:00 UTC · 21d agoThreat actor in the wild

AI agents help compress ransomware intrusion to under 10 hours, raising stakes for CISOs

Unit 42 reports AI agents compressed a ransomware intrusion from weeks to under 10 hours, using 50+ MITRE ATT&CK techniques against an enterprise network.

Palo Alto Networks Unit 42 investigated a ransomware incident where AI agents moved through an enterprise network in under 10 hours, work that would have taken human operators roughly two weeks. The attacker entered via a public-facing API endpoint, used automated reconnaissance to map microservices, searched source-code repositories for credentials, and accessed a secrets-management system. They hijacked enterprise code workflows to exfiltrate cloud access keys, attempted Terraform backdoors (blocked by branch protections), and used stolen credentials to access the victim's own AI services as attack infrastructure. Over 50 MITRE ATT&CK techniques were observed; the actor confirmed using frontier AI models and agentic frameworks during negotiations.

CSO Online·Sep 3, 09:42 UTC · 13d agoThreat actor in the wild

Bipartisan Senate bill aims to prepare energy sector for Q

Bipartisan Senate bill would direct FERC to factor quantum computing threats and post-quantum cryptography into US electric grid cybersecurity reliability standards.

The Quantum Grid Utility Assurance and Resilient Defense (Quantum-GUARD) Act, introduced by Senators Mike Rounds and Chris Coons, would require FERC to consider quantum computing threats when reviewing electric reliability standards and to explore post-quantum cryptography use in both IT and OT systems, plus a technical sandbox to study quantum impacts. It aligns with NIST's post-quantum algorithm work, and a June executive order moved the federal PQC migration deadline from 2035 to 2030. Industry experts noted the hard part is upgrading infrastructure such as SCADA communications and software update integrity ahead of those deadlines.

CyberScoop·Aug 24, 19:01 UTC · 23d agoPolicy & legal

US cyber ambassador nominee Cassady confirmed in Senate

The Record·Aug 7, 18:18 UTC · Aug 7, 2026AI industry

Schneider Electric Easergy, EcoStruxture, PowerLogic, and Saitel Products (Update A)

CISA updated ICSA-26-169-07: CVE-2026-4827 (CVSS 8.3) insufficient entropy enables session hijacking across dozens of Schneider Electric grid products; fixes available.

CISA republished advisory ICSA-26-169-07 (Update A) for CVE-2026-4827, CWE-331 insufficient entropy in session management, scored CVSS 8.3. Affected lines include Easergy MiCOM relays and C5, EcoStruxure Power Automation (EPAS-GTW, EPAS-UI, iPMFLS), EcoStruxure Power Operation, PowerLogic P5/P7/T300/T500, and Saitel DP/T150 RTUs, with dozens of fixed versions listed. Successful exploitation could enable session hijacking and unauthorized operations on systems in energy, chemical, critical manufacturing, and water sectors. Fixes are available; no exploitation is reported.

CISA Advisories·Sep 3, 12:00 UTC · 13d agoAdvisoryCVE-2026-4827

AI agent authorization risks remain a gap in new NIST-CISA token security guidance

NIST and CISA release IR 8587 guidance on securing signed tokens, but AI agent authorization and delegation risks remain out of scope.

NIST, with CISA support, published 'Protecting Tokens and Assertions from Forgery, Theft, and Misuse' (NIST IR 8587), recommending continuous monitoring and tighter token lifecycle controls for SSO and API access. The guidance does not yet fully address AI agent identity, delegation chains, or prompt injection steering agents with valid tokens, and NIST says new or expanded standards are needed. Experts recommend treating AI agents as low-trust non-human identities, maintaining agent inventories, expiring credentials after task completion, and requiring human approval for high-risk actions. The report references shared-signal mechanisms like CAEP and RISC, and follows a May incident where a CISA contractor GitHub repository exposed AWS and GitHub tokens.

CSO Online·Sep 16, 15:42 UTC · 9h agoAdvisory

Perturbation Probing: A New Diagnostic for the Fragility of LLM Safety

Unit 42 research shows LLM safety refusals concentrate in a thin neural layer, motivating external, multi-layered AI security controls.

Palo Alto Networks Unit 42 introduces Perturbation Probing, a diagnostic technique for measuring the fragility of LLM safety mechanisms. The research finds that safety refusal behavior is localized within a thin neural layer, implying small perturbations can undermine built-in refusals. The authors argue this motivates external, multi-layered security defenses on top of model-internal safety training.

Palo Alto Unit 42·Aug 28, 22:00 UTC · 19d agoAI safety & security

The AI Kill Switch Act is repeating the Clipper Chip’s mistakes

Op-ed argues the AI Kill Switch Act repeats the Clipper Chip's mistake by mandating backdoors into frontier AI systems.

The op-ed criticizes the AI Kill Switch Act, sponsored by Reps. Ted Lieu and Nathaniel Moran, which would let CISA require frontier AI labs to build the ability to throttle, suspend, or shut down their systems. The author compares this to the 1993 Clipper Chip, whose Law Enforcement Access Field was found flawed in 1994, and argues mandated kill switches would create deliberate weaknesses in AI agents embedded in banking, power grids and other critical infrastructure. It also flags the bill's exemption of red-teaming incidents and CAISI's incomplete agent security standards, recommending mandatory red-teaming and liability frameworks instead.

CyberScoop·Aug 31, 10:00 UTC · 16d agoAI policy

Disruptive cyber activity highlights risk from internet-exposed systems and edge devices

NCSC links disruptive cyber activity to internet-exposed systems and edge devices, urging OT owners to fix avoidable vulnerabilities and improve resilience.

The UK's NCSC issued guidance following disruptive cyber activity that highlights the risk to internet-exposed systems and edge devices. It encourages owners of operational technology to remediate avoidable vulnerabilities and invest in long-term cyber resilience. The notice underscores that exposed edge devices remain a common entry point for attackers against OT environments.

NCSC UK·Aug 27, 12:00 UTC · 20d agoAdvisory in the wild

Rockwell Automation 1756-ENBT Module

Rockwell's 1756-ENBT ControlLogix EtherNet/IP bridge (all versions) is vulnerable to DoS via crafted CIP packets, crashing the module until manual restart.

CISA republished Rockwell Automation's advisory for CVE-2025-10478, a CWE-754 flaw affecting all versions of the 1756-ENBT ControlLogix EtherNet/IP bridge, scored CVSS 7.5. A crafted CIP packet can crash the module, and the device requires a restart to recover. Affected critical infrastructure sectors include critical manufacturing, food and agriculture, transportation systems, and water. No public exploitation has been reported; CISA recommends minimizing network exposure.

CISA Advisories·Sep 3, 12:00 UTC · 13d agoAdvisory 3 sourcesCVE-2025-10478

Emerging Threats to Neurotechnology

Recorded Future·Aug 5, 00:00 UTC · Aug 5, 2026Ransomware

[Control Systems] National Instruments security advisory (AV26-856)

Canada's Cyber Centre relayed National Instruments advisories for memory corruption, out-of-bounds read, and out-of-bounds write flaws in LabVIEW versions.

The Canadian Centre for Cyber Security published control systems advisory AV26-856 covering National Instruments LabVIEW. Affected versions include releases before 23.0.0, 23.3.10, 24.3.7, 25.3.5, and 26.3.1. The flaws include memory corruption, an integer conversion out-of-bounds read, and an integer overflow out-of-bounds write. Users and administrators are urged to review the links and apply NI security updates.

Canadian Centre for Cyber Security·Aug 28, 12:16 UTC · 19d agoAdvisory

Wicked Problem, Parsimonious Solution: Securing Electric Vehicle Charging Station Software

Position paper proposes hierarchical software quality assurance to characterize and secure EV charging station software attack surfaces.

The authors argue that charging station supply-equipment software is a largely unprotected and poorly characterized attack surface in EV charging infrastructure. They advocate applying hierarchical software quality assurance (HSQA) to this specialized software, spanning from individual vulnerabilities such as CVEs to high-level characteristics like the CIA Triad. HSQA embeds quality and security considerations across the entire software development lifecycle to assess and improve charging station software security.

arXiv cs.CR·Sep 9, 17:37 UTC · 7d agoResearch