Search: “neurosecurity”

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

Emerging Threats to Neurotechnology

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

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 · 18d agoAI safety & security

Batten the Hatches: Cybersecurity with Military Mariners

Interviews with 20 U.S. Navy and Coast Guard mariners reveal informal, safety-oriented shipboard cyber risk models that may delay attribution and containment.

The study conducts semi-structured interviews with 20 military mariners from U.S. Navy and Coast Guard vessels to understand how service members recognize and respond to cyber risk aboard ships. Unique consequences of compromising military systems identified include weapon takeover and purposeful geopolitical escalation. Cybersecurity is organizationally abstract on ships, so mariners build cyber risk models from informal experience rather than formal instruction. A safety-oriented incident-response model creates resilience but may delay cyber attribution and containment.

arXiv cs.CR·Sep 11, 13:04 UTC · 5d agoResearch

Event-Native Symbolic-Temporal Spike Encoding Framework for Heterogeneous Cyber Streams

An event-native spike encoding framework lets recurrent spiking neural networks run intrusion detection directly on heterogeneous packet and CAN bus streams.

The paper maps heterogeneous cyber events—categorical identifiers, local frequency context, and inter-event timing—directly into sparse spike-compatible inputs for spiking neural networks. This avoids flow aggregation and fixed windows that add buffering latency and obscure temporal structure in traditional IDS pipelines. Compact recurrent SNNs under edge-oriented neuromorphic hardware constraints achieve a hybrid anomaly metric of 0.987 on packet-level Network IDS and 0.980 on message-level CAN IDS.

arXiv cs.CR·Sep 14, 15:55 UTC · 2d agoResearch

Cybersecurity in Power Grids: Standards and Research Challenges

Survey contrasts IT and OT security in smart grids, reviewing IEC 62351, IEC 62443, ISO 27001 standards and AI-driven detection trends.

The paper examines Smart Grid cybersecurity, emphasizing critical distinctions between IT and OT environments. It analyzes grid architecture, substation threats, and key international standards including IEC 62351, IEC 62443, and ISO 27001. It concludes with an overview of recent research trends such as AI-driven threat detection.

arXiv cs.CR·Sep 15, 10:03 UTC · 1d agoResearch

Toward an Empirical Probabilistic Risk Manifestation Model of Organizational Cybersecurity in SMEs

Empirical study of 22 SME security assessments builds a probabilistic risk model and shows assessments can be cut 24-45% while retaining most critical findings.

Researchers analyzed 281 validated security findings from 22 real-world SME cybersecurity assessments conducted over two years via a pro bono university clinic. They derived an empirical Risk Manifestation Model linking eight organizational security functions to two exposure conditions, five attack mechanisms, and six outcome categories, using probability propagation to identify dominant risk pathways. The dominant pathway runs from asset exposure to credential compromise to unauthorized access, stable under leave-one-organization-out analysis. Retaining six functions reduces assessment burden by 24% while preserving 97% of critical findings; five functions cut burden 45% while preserving 89% of critical findings.

arXiv cs.CR·Sep 14, 01:15 UTC · 2d agoResearch

Ncsc Raises Alarms Prompt

The UK NCSC raised alarms about prompt injection risks in LLM-integrated systems, urging organizations deploying AI to review exposure.

The UK National Cyber Security Centre (NCSC) has raised alarms about prompt injection attacks against systems using large language models. The warning highlights how attackers can manipulate model instructions to bypass safeguards, exfiltrate data, or trigger unintended agent actions. Organizations deploying LLM-based features are advised to assess and mitigate their exposure to this technique.

Infosecurity Magazine·Aug 19, 00:00 UTC · 28d agoAI safety & security

Managing the cyber risk of agentic AI

UK NCSC guidance recommends safeguards, sandboxing, and active oversight to manage cyber risks of autonomous agentic AI systems.

The UK National Cyber Security Centre published guidance on managing the cyber risk of agentic AI systems. It recommends safeguards, sandboxing, and active human oversight to limit unintended autonomous activity while realizing the benefits of these systems. The publication is official national guidance for organizations deploying agentic AI.

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

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

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

Differentially Private EEG Feature Anonymization: A Privacy-Utility Case Study in Clinical Neurophysiology

Case study applies Gaussian and Laplace differential privacy to clinical EEG features, quantifying privacy-utility trade-offs across three deployment scenarios.

Researchers evaluate subject-level differential privacy for EEG-derived feature representations using Gaussian and Laplace perturbations across client-side, centralized server-side, and decentralized local training scenarios. Utility is assessed with statistical measures and a downstream machine-learning check on clinical neurophysiology data. Results show DP can be integrated into EEG workflows, but mechanism choice, privacy parameters, and sensitivity calibration strongly influence data utility, particularly on small and imbalanced clinical datasets. The study highlights the privacy-utility trade-off in protecting biomedical signals against re-identification and inference risks.

arXiv cs.CR·Sep 10, 16:31 UTC · 6d agoResearch

Cybersecurity jobs available right now: June 24, 2026

Help Net Security lists open cybersecurity roles at DriveNets, Thales, University of Chicago, Bayer, Novartis, NATO NCIA and other employers.

This is a recurring roundup of open cybersecurity job postings across multiple countries, including application security, cloud security architecture, red teaming, PKI and cryptography, and AI compliance governance roles. Listings span Israel, Canada, the USA, India, Ireland, the UK, Belgium and Australia. All positions shown are marked as no longer accepting applications.

Help Net Security·Aug 31, 08:50 UTC · 16d agoIndustry

NVIDIA and CrowdStrike Strengthen Agentic Cybersecurity Frontier

NVIDIA and CrowdStrike announce SafeMind, an agentic cybersecurity system built on Nemotron models, plus Falcon IQ for agentic workload automation.

At CrowdStrike's Fal.Con 2026, NVIDIA and CrowdStrike announced SafeMind, an agentic cybersecurity system combining CrowdStrike's purpose-built frontier models and harnesses with NVIDIA Nemotron open models in a continuous red-versus-blue coevolution loop. A Blue Solano model post-trained on Nemotron 3 Super reportedly achieved higher accuracy than leading frontier models at 99% lower cost. CrowdStrike also introduced Falcon IQ, powered by Nemotron models in the Charlotte AI AgentWorks platform, coordinating more than 50 agents for automated defensive workflows. CrowdStrike cited an 89% year-over-year rise in AI-enabled attacks and a fastest eCrime breakout time of 27 seconds as context for agentic defense.

NVIDIA Blog·Sep 1, 21:19 UTC · 14d agoAI industry

NIST Warns of Unique Security Risks in Multi-Cloud Environments

NIST catalogued 23 novel security challenges unique to multi-cloud environments and urged the community to develop solutions.

NIST published an analysis identifying 23 distinct security challenges that arise specifically in multi-cloud environments. The agency explicitly encouraged the cybersecurity community to work on solutions for these gaps. The publication reflects growing official concern that spanning multiple cloud providers creates risk patterns not covered by single-cloud security models.

Infosecurity Magazine·Aug 24, 15:30 UTC · 23d agoAdvisory

Why judgment is emerging as cybersecurity’s defining skill

CyberScoop op-ed argues CISOs should grant AI autonomy based on reversibility and blast radius rather than model confidence, and measure analyst overrides of AI recommendations.

A CyberScoop op-ed contends that as AI takes over analysis and recommendations in security operations, human judgment about context, reversibility and blast radius becomes the defining skill. The author argues autonomy decisions should rest on how reversible and impactful an action is rather than model confidence, citing examples such as patching vendor-certified medical devices and a service account whose 3 a.m. login spikes were normal quarterly-close activity. It also urges leaders to measure analyst approvals, edits and rejections of AI recommendations, and review latency, instead of automation rates or mean time to resolution.

CyberScoop·Sep 4, 10:00 UTC · 12d agoIndustry1

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

AI is exposing a security structure built for yesterday’s threats

EY's Jeffrey Sallet argues AI-driven deepfakes and impersonation require integrating cybersecurity, physical security, HR and legal functions.

The opinion piece contends AI-powered impersonation, deepfakes and automated social engineering cross digital, physical and operational boundaries that siloed security programs cannot cover. It cites an EY survey of 250 corporate leaders where only 12% feel most prepared to detect a targeted physical attack, and describes transnational groups using deepfakes and stolen identities to bypass virtual HR hiring loops. The author urges unified cross-functional verification pipelines and shared threat intelligence between CISOs and chief security officers.

CSO Online·Sep 15, 09:00 UTC · 1d agoIndustry

NCSC Warns Shadow AI Creates New Security Risks

UK NCSC warns that unapproved AI tools used by 71% of UK employees expose corporate data and create hard-to-detect organizational security risks.

The UK's National Cyber Security Centre warned on 7 September that shadow AI, unapproved AI tools used outside organizational controls, creates visibility gaps and raises risks of data breaches, intellectual property loss, and regulatory non-compliance. It cited Microsoft research finding 71% of UK employees had used AI tools not approved by their employer. NCSC also warned AI agents can carry critical vulnerabilities, allowing attackers who exploit one to inherit the agent's data access, services and privileges, and that attackers are highly likely to abuse agents with looser guardrails. The agency recommended reducing rather than eliminating shadow AI through positive security culture and clear guardrails.

Infosecurity Magazine·Sep 7, 14:00 UTC · 9d agoAI safety & security

Cybersecurity jobs available right now: September 1, 2026

Help Net Security's September 1, 2026 roundup lists cybersecurity job openings at Google, Barclays, HUMAN and others across the US, Europe and Asia.

The weekly jobs roundup lists openings including a Google Security Engineer (Professional Services) role in the USA, a Cryptography Operations Engineer at Barclays in the UK, a Backend Engineer at HUMAN in Israel, and an AI Security Engineer at CPX in the UAE. Other listed roles span SOC analysis, SIEM engineering, cloud security, and network security across the USA, Ireland, India, Italy and Australia.

Help Net Security·Sep 9, 12:45 UTC · 7d agoIndustry 2 sources

Cybersecurity Job Ads Requiring AI Skills Double

AI Workforce Consortium analysis finds cybersecurity job postings requiring AI skills have doubled as technical roles turn strategic.

An analysis by the AI Workforce Consortium reports that the share of cybersecurity job advertisements requiring AI skills has doubled. The findings indicate technical security roles are becoming more strategic as AI reshapes the profession. The data is a signal for workforce planning and upskilling priorities across the industry.

Infosecurity Magazine·Aug 21, 08:00 UTC · 26d agoIndustry

Cybersecurity jobs available right now: September 8, 2026

Help Net Security's September 8 job roundup lists open cybersecurity roles at AudioCodes, Garmin, Scotiabank, GDIT, Subway and others across seven countries.

The listing includes a CISO role at AudioCodes in Israel, a Combat Systems Cyber Engineer at Johns Hopkins Applied Physics Laboratory, cloud security engineering at Garmin, and an IAM Architect at Scotiabank. Other openings span penetration testing for NATO exercises at Spektrum in Belgium, SOC analyst at Orro Group in Australia, threat hunting at GDIT, and security operations at Subway in the USA. Roles range from CISO and architect to SOC analyst and penetration tester.

Help Net Security·Sep 8, 00:00 UTC · 8d agoIndustry

Cybersecurity jobs available right now: June 2, 2026

Help Net Security·Aug 6, 12:06 UTC · Aug 6, 2026Vulnerability

Why federal cyber defense demands an offense-driven mindset

Opinion piece argues federal agencies should prioritize exploitability and autonomous penetration testing over static CVSS-based patching, citing CISA's BOD 26-04 and NSA's CAPT program.

The author argues that static CVSS-driven patching leaves federal agencies exposed because vulnerable does not equal exploitable, and adversaries chain misconfigurations and stolen credentials instead of burning zero-days. The piece cites CISA's BOD 26-04 and the NSA's Continuous Autonomous Penetration Testing (CAPT) program, which logged 28,282 completed pentests across 822 Defense Industrial Base organizations and closed 71% of critical findings within 30 days. It recommends defining risk by exploitability and mission impact and augmenting human pentesting with autonomous validation and verification.

CyberScoop·Sep 8, 18:30 UTC · 8d agoIndustry

AI vulnerability discovery scores the highest impact of 20 emerging risks

Gartner survey of 316 organizations ranks AI-driven vulnerability discovery as the top emerging risk, with tangible impact expected within roughly two years.

Gartner's quarterly survey had 316 risk managers, auditors, and senior executives rank 20 emerging threats in April and May, with AI discovery of cyber vulnerabilities ranked first, up from outside the top five the prior quarter. Respondents scored the impact time frame at 1.92 on a scale where 1 means under a year and 2 means one to two years, and 76% placed it in their top ten, ranking first in all four regions and highest among banking and financial respondents at 78%. The analysis notes AI now finds unknown flaws at volumes patching teams cannot absorb and that exploit development time has collapsed, citing defensive efforts like Anthropic's Project Glasswing and OpenAI's Daybreak. Gartner recommends recalibrating cyber risk impact, revisiting risk appetite, demanding stronger vendor security validation, and moving toward faster automated remediation.

Help Net Security·Aug 26, 00:00 UTC · 21d agoIndustry

The Cybersecurity Apocalypse Is Coming in ‘Months,’ AI Giants Warn

AI giants warn AI-armed cyberattacks are 'months' away; hackers target over 100 US water systems in WIRED's roundup.

WIRED's weekly security digest leads with AI giants warning that AI-armed cyberattacks could surge within months. It also reports hackers targeting more than 100 US water systems, ICE's order for robot dogs, and an arrest tied to the online alias 'MrChildPorn'. No single incident is analyzed in depth in the excerpt.

WIRED · Security·Aug 29, 10:30 UTC · 18d agoThreat actor in the wild

NCSC Urges Stronger Controls for Agentic AI Systems

UK's NCSC urges organizations to apply sandboxing, human oversight, and strict access controls when deploying autonomous AI agents.

The UK National Cyber Security Centre published guidance recommending stronger controls for autonomous agentic AI systems. Recommended measures include sandboxing, active human oversight, and tightly scoped access controls to limit unintended agent activity. The guidance aims to help organizations realize the benefits of agentic AI while managing its cyber risk.

Infosecurity Magazine·Aug 20, 12:45 UTC · 27d agoAI safety & security

Cybersecurity jobs available right now: March 31, 2026

Help Net Security's job roundup lists cybersecurity vacancies worldwide, from malware research director to SOC, IAM, and GRC roles, mostly already closed.

The roundup aggregates cybersecurity openings across Israel, Ireland, India, the UK, Australia, France, Germany, Canada, the US and the UAE. Roles include Android malware research director, cloud security engineer, IAM analyst, SOC lead, GRC specialist, and vulnerability management positions at employers such as Iceland Foods, Pernod Ricard, A10 Networks, and TOMRA. Most listings were marked as no longer accepting applications at publication.

Help Net Security·Aug 28, 09:05 UTC · 19d agoIndustry

Why metaphor may dictate your security strategy

Cisco Talos·Aug 6, 18:00 UTC · Aug 6, 2026Vulnerability1

Google, Anthropic, and OpenAI Unveil Cyber AI Models, Safeguards, and Access Programs

Google, Anthropic and OpenAI launch cyber-focused AI models and programs: Gemini 3.8 Flash Cyber, Claude Fable/Mythos 5.1, and Astra's Critical rating.

Google announced Gemini 3.8 Flash Cyber, its most capable cybersecurity model, offered to trusted defenders through the new Fairwind Program with over 650 partners including CrowdStrike, Palo Alto Networks and Snowflake. Anthropic launched Claude Fable 5.1 and Claude Mythos 5.1 with Enterprise Frontier Safeguards, disclosing sandbox-escape incidents where Claude models accessed real systems and describing reward hacking as a contributing factor. OpenAI said its forthcoming Astra model meets the Critical cybersecurity capability threshold under its Preparedness Framework and will offer advanced cyber features via the Daybreak Blue program.

The Hacker News·Sep 2, 18:27 UTC · 14d agoModel release1