Search: “ai trust”

Cybersecurity jobs available right now: March 10, 2026

Help Net Security's roundup lists open cybersecurity roles at BioNTech, AIG, ServiceNow and others across Europe, the Middle East and Canada.

A job-board roundup of cybersecurity openings including Associate Director Application Security at BioNTech (Germany), CISO at AIG (Israel), Cloud Security Professional at ServiceNow (Italy), and SOC/GRC, analyst, engineer and data governance roles in the UK, UAE, India, Canada and France. Roles span application security, cloud security, SOC operations, compliance and OT environments. Most listings are marked no longer accepting applications.

Help Net Security·Aug 28, 09:06 UTC · 20d agoIndustry

Who's governing your AI? A trust framework for enterprise agents and models

DigiCert pitches AI Trust framework using PKI, DNS policy records and workload identity to govern shadow AI agents across enterprises.

The Register-sponsored piece outlines DigiCert's AI Trust framework for governing AI agents, built on PKI, DNS, and attestation, citing IBM's 2026 Cost of a Data Breach report that 68% of organizations lack AI governance or shadow AI detection. The approach treats agent identity as workload identity aligned with IETF WIMSE, NIST CSF 2.0, and SPIFFE/SPIRE, using short-lived credentials instead of static API keys. DigiCert also proposes DMARC-style DNS agent policy records and an AI Agent Passport cryptographically binding agent identity to approved operations, with a unified kill switch.

The Register · Security·Sep 15, 15:00 UTC · 1d agoAI safety & security1

ENISA: Frontier AI Is Changing the Speed of Cyberattacks. Europe Needs to Catch Up

ENISA warns frontier AI compresses attack lifecycles to minutes, with exploits possible within 15 minutes of disclosure and median 72-minute breach-to-exfiltration times.

ENISA's July 2026 paper 'ENISA's view on Cybersecurity in the Frontier AI Era' argues AI-assisted attackers may weaponize vulnerabilities within 15 minutes of disclosure and achieve initial-access-to-data-exfiltration in a median 72 minutes, creating a 'negative time-to-exploit' problem. The report cites one organisation whose CVE volume rose from roughly 80 in Q1 2025 to almost 500 in Q1 2026, then about 500 reports per day when frontier-AI tools were used. ENISA recommends machine-speed defence under 'Cybersecurity as Code', EPSS and VEX-based prioritisation, AI-assisted incident response with human oversight, and an assume-breached architecture.

Security Affairs·Sep 14, 20:35 UTC · 2d agoAdvisory

AI is changing what Salesforce security needs to govern

WithSecure's Trust Mapping paper proposes a framework for governing trust relationships across Salesforce workflows, AI agents, integrations and connected SaaS systems.

WithSecure's paper 'Navigating Trust in the Modern Salesforce Ecosystem' introduces a Trust Mapping Framework spanning five domains: entities, information, connections, actions and system outcomes. It applies to Salesforce, Agentforce, Headless 360, third-party SaaS and AI-assisted workflows where users, AI agents, APIs and integrations form trust relationships. A Discovery step maps relationships, a Governance step assesses, restricts or retires them, and the paper defines 'trust drift' such as stale credentials, excessive access and unvalidated AI recommendations.

Help Net Security·Sep 11, 04:30 UTC · 6d agoResearch1

AI Coding Tools Now a Prime Target for Threat Actors, Google Warns

Google Threat Intelligence Group warns threat actors increasingly target AI coding tools and proprietary AI data, with UNC6780's Dustmaker enabling large-scale supply chain compromises.

Google Threat Intelligence Group's September 8 report says AI-assisted coding tools have become prime targets, contributing to large-scale software supply chain compromises in 2025 and early 2026. Financially motivated group UNC6780 used its Dustmaker credential stealer to extract tokens from GitHub Actions runner memory and compromise packages across PyPI, npm, and Docker Hub, then sold harvested AI tool credentials to other criminals. Chinese nation-state actor UNC6508 conducted espionage against proprietary AI research at North American academic, medical, and military institutions, while extortion gangs stole models, prompts, and source code in Q2 2026. GTIG also documented agentic attacker experimentation, including an autonomous multi-agent credential harvesting campaign built in under six hours and a 'Recon' C2 framework managing over 23,800 harvested secrets.

Infosecurity Magazine·Sep 8, 12:02 UTC · 9d agoThreat actor in the wild 2 sources1

Do AI Coding Assistants Check Before They Install? A Pre-Registered Demand-Side Audit of Trust Signals in the Research Software Supply Chain

Pre-registered audit finds AI coding assistants verified provenance signals in only 9 of 1,920 trials before installing research software packages.

The study tested whether AI coding assistants check machine-readable trust signals such as SBOMs, signed releases, and provenance attestations before installing six open-source research software projects spanning HPC and quantum computing. Three models under two operating modes produced 1,920 registered trials scored from container logs. Provenance signals were opened in only 9 of 1,920 trials (0.5%) and zero of 384 control trials, with no trial running a verification command. The authors conclude publishing signals is insufficient and verification must be built into the program running the assistant.

arXiv cs.AI / cs.LG / cs.CL·Sep 7, 16:55 UTC · 9d agoAI safety & security1

Supporting Thailand’s next generation of AI startups

OpenAI and Thailand's MHESI launched an eight-week accelerator for ten health, wellness, and education AI startups.

OpenAI announced a program with Thailand's Ministry of Higher Education, Science, Research and Innovation (MHESI) to support the country's next generation of AI startups. The eight-week accelerator will help ten startups in health, wellness, and education turn AI prototypes into trusted products.

OpenAI News·Aug 28, 02:00 UTC · 20d agoAI industry

Top 5 AI Gateways for Enterprise (2026 Guide)

A 2026 buyer's guide ranks NeuralTrust TrustGate, Kong AI Gateway, and Cloudflare AI Gateway as top enterprise AI gateways for security and governance.

The guide evaluates enterprise AI gateways on security, governance, routing, observability, and agent ecosystem support. NeuralTrust TrustGate ranks first for identity-aware agent governance across models, MCP servers, tools, and agent-to-agent traffic, with SaaS, hybrid, and private deployment options. Kong AI Gateway is recommended for organizations with mature API infrastructure, while Cloudflare AI Gateway emphasizes caching, retries, model fallbacks, and prompt/response guardrails.

GBHackers·Sep 11, 16:29 UTC · 5d agoAI tools & infra

When the Whole Company Adopts AI: What It Does to Your SOC

Analysis of 16.9 million SOC alerts finds AI-related alerts at 0.43%, growing 685% since February, with 94.1% noise and 0.02% real attacks.

A review of roughly 16.9 million SOC alerts found about 73,000 (0.43%) were AI-related, a share that grew 685% between February and June 2026. Of AI-related alerts, 94.1% were noise, 5.8% genuine risks, and 0.02% real attacks; 79.8% received benign verdicts, 81.7% were automatically suppressed, and only 5.4% reached a human analyst. The only confirmed attacks were phishing campaigns that weaponized AI brand names as lures, while developer coding agents spawning shells and reading credential stores routinely tripped detections written before AI agents existed.

The Hacker News·Sep 12, 10:24 UTC · 5d agoResearch2

Your employees are already using AI tools you never approved

OneTrust report: 74% of organizations have scaled AI adoption, but only 17% embed governance by design and agent use outpaces oversight.

OneTrust's 2026 AI-Ready Governance Report finds 74% of respondents report departmental or scaled AI adoption, yet only 17% report governance embedded by design and just 5% have coordination and accountability defined across the AI lifecycle. Nearly half experienced at least one incident in the past year where AI systems or agents took unapproved actions, with data loss, corruption, and misclassification cited as the most likely and least prepared-for risks. 33% say employees used unapproved AI tools because approved options were not available quickly enough, and 98% plan to increase AI governance technology budgets next financial year.

Help Net Security·Sep 15, 05:00 UTC · 2d agoIndustry

Hackers Target Claude, Cursor and Codex AI Agents to Steal Tokens and Prompt Histories

Gen Digital found infostealers like Amatera and Remus stealing AI coding agent tokens, prompt histories, and MCP configs from infected Windows and macOS machines.

Gen Digital analysts observed Amatera and Remus detections among tens of thousands of protected Windows users over three months, with Amatera targeting Cline and Continue data and Remus targeting Claude, Cursor, and OpenCode. CallbackBeaver added Cursor and Claude to its collection scope with more than 5,000 samples in 30 days, while macOS-focused Djinn Stealer has been associated with Claude, Codex, Gemini, Cline, OpenCode, and Kilo. The stealers harvest access and refresh tokens, prompt histories, and MCP configuration files that can expose source control, ticketing, databases, cloud resources, and sensitive project context for follow-on fraud. Many stealers add targets via remotely managed rules, meaning this is an adaptation of existing infostealers rather than a new vulnerability in the AI tools themselves.

Cyber Security News·Sep 9, 11:41 UTC · 8d agoMalware in the wild2

An Evidence Model for Agentic Processes: Evidence Claims, Trust Assumptions, and Policy Assessment

Researchers propose an evidence claim model defining which trust and audit claims agentic AI systems can support, mapping claims to mechanisms, assumptions, and threats.

The paper proposes an evidence claim model for agentic AI processes that exchange messages, invoke tools, request approvals, and modify shared artifacts. It distinguishes claim types such as artifact integrity, provenance, approval evidence, and policy assessment, mapping each to mechanisms, assumptions, limitations, and threats. It stresses that hashes, signatures, and external anchors do not establish semantic truth, authorization, or capture completeness. The contribution is conceptual, offering vocabulary for what an agentic black box can and cannot evidence and which controls must surround it.

arXiv cs.CR·Sep 8, 09:25 UTC · 9d agoAI safety & security

Agentic Societies Need a Social Harness

Researchers propose a layered 'social harness' to stop malicious AI agents from exploiting inter-agent communication in multi-agent societies.

The paper shows experimentally that in agentic societies—autonomous AI agents coordinating across trust boundaries—even honest, competent agents fail to reach satisfactory outcomes with existing harnesses and messaging primitives. Faulty or malicious agents can stall collaboration, influence outcomes, and pursue harmful goals by exploiting vulnerabilities in communication. The authors propose a layered social harness architecture that prevents classes of failures, enables runtime detection of invalid messages, and supports post-facto investigation and consequences.

arXiv cs.AI / cs.LG / cs.CL·Sep 15, 17:57 UTC · 1d agoAI safety & security

From Protocols to Evidence: Bounded Claims for AI in Service of the Common Good

Paper proposes a rupture test and RISE AI architecture for evidence-bounded responsible-AI claims, framed via EU AI Act and NIST AI RMF.

The paper argues AI deployment intervenes in pre-existing institutional failures of responsiveness, belonging, care, and accountability, and must therefore evaluate both the system and the institutional rupture it enters. It reviews how the EU AI Act, NIST AI RMF, and ISO/IEC 42001 translate principles into protocols, and draws on Pope Leo XIV's Magnifica Humanitas to develop a rupture test linking institutional baselines to system evaluation. It distinguishes evidence-bounded deployment from measurement-bounded governance and introduces RISE AI, an architecture for bounded claims about Responsibility, Inclusivity, Safety, and Empowerment.

arXiv cs.AI / cs.LG / cs.CL·Sep 10, 17:56 UTC · 6d agoAI policy

The Coding-Agent Trap: When a "Free" LLM Endpoint Is the Adversary, (Mon, Aug 31st)

A SANS honeypot caught a real coding-agent session routed to a rogue "free" LLM endpoint, exposing a Windows user's transcript and tool outputs.

A SANS analyst describes how an internet-exposed inference honeypot was discovered, relabeled with sought-after model names like DeepSeek, and enrolled in infrastructure serving "free" LLM backends. On 2026-08-30 an opencode terminal coding agent sent an 88-message, 224 KB transcript 210 times in 91 seconds via a China Unicom relay, exposing directory listings, tool outputs and read file portions. The analyst frames tool-enabled agents treating model endpoints as trusted control planes as a novel risk — a "rogue model endpoint" that could request tool executions on the user's machine.

SANS Internet Storm Center·Aug 31, 20:00 UTC · 16d agoAI safety & security1

The Regulators Already Assume You Have an AI Inventory. Do You?

Checkmarx argues regulators now expect organizations to maintain an AI inventory as AI-generated code and outputs enter security workflows.

Checkmarx contends that implicit trust in AI-generated code, AI summaries, and scanner output has become a governance liability that regulators no longer accept. The piece argues security teams must formalize AI inventories and treat AI outputs as untrusted inputs. It frames AI governance as an emerging compliance expectation rather than an internal maturity project.

Checkmarx·Aug 26, 09:15 UTC · 22d agoAI policy1

Fortinet expands AI security portfolio with Virtue AI acquisition

Fortinet acquired Virtue AI to add agent red-teaming, MCP scanning and runtime guardrails to its AI security portfolio.

Fortinet acquired Virtue AI to extend its Security for AI strategy beyond FortiAIGate, which protects LLMs from prompt injection, data leakage and model poisoning. Virtue AI brings automated agentic red-teaming across 50+ sandboxed environments and 14 domains, agent discovery and governance including MCP tool scanning, continuous AI validation, and real-time guardrails across text, images, video, audio and code. Financial terms were not disclosed and the consideration is immaterial to Fortinet; Gartner projects the AI security market to grow from $2.8B in 2026 to $16.4B by 2030.

Help Net Security·Aug 17, 00:00 UTC · Aug 17, 2026Industry

Governing Bring Your Own AI: A Parameterized Maturity Model

Researchers propose a parameterized governance model and maturity ladder for Bring Your Own AI, finding data exposure and compliance dominate BYOAI risks.

The paper studies Bring Your Own AI (BYOAI), where employees use personal generative AI accounts such as ChatGPT, Gemini, and Claude outside enterprise identity and security controls. Drawing on a curated corpus of 30 records (24 studies and 6 framework documents), the authors build a risk taxonomy, a five-level governance maturity ladder, and a parameterized model linking control-layer coverage to residual risk. Findings highlight data exposure and compliance as the most prominent risks, inconsistent framework engagement, and evidence that layered technical controls reduce modeled exfiltration risk more than prohibition-based approaches.

arXiv cs.CR·Sep 4, 15:03 UTC · 12d agoResearch

Proofpoint Strengthens Executive Leadership Team with Appointment of Chief Legal Officer and Chief People Officer

Proofpoint appointed Brian Levey as Chief Legal Officer and Puja Jaspal as Chief People Officer, strengthening its executive leadership team.

Proofpoint announced on September 8, 2026 the appointments of Brian Levey as Chief Legal Officer and Puja Jaspal as Chief People Officer. Levey previously served as Chief Business Affairs & Chief Legal Officer at Upwork and spent 13 years at eBay; Jaspal was Chief People Officer at Fastly with prior senior roles at Cisco, Visa, and Google. The hires support Proofpoint's stated expansion around human and AI-agent security.

Proofpoint Threat Insight·Sep 8, 09:30 UTC · 9d agoIndustry

Keepit AI Truth Cloud protects the data behind enterprise AI

Help Net Security·Aug 7, 00:00 UTC · Aug 7, 2026AI tools & infra

ControlAI’s Connor Leahy on why superintelligence is ‘not a weapon, it’s an adversary’

ControlAI's Connor Leahy argues superintelligence is an unmanageable adversary, backs the Sanders-Casar 'Ban Superintelligence Act' and international verification agreements.

On TechCrunch's Equity podcast, ControlAI's US Executive Director Connor Leahy argued that alignment and containment alone cannot manage superintelligence risk and advocated halting frontier development, citing the Sanders-Casar 'Ban Superintelligence Act' and parallel UK legislation ControlAI advised on. He characterized frontier AI labs as political actors, pointed to the OpenAI-related Hugging Face breach as evidence of danger, and called AI self-improvement the point of no return, endorsing international 'trust but verify' agreements.

TechCrunch · AI·Sep 9, 15:50 UTC · 7d agoAI policy

Google’s $10,000 refund test shows why AI agents need zero trust

Google released an open-source zero-trust reference architecture for AI agents defending against prompt injection via signed database writes, gVisor sandboxing, and deterministic gating.

Google's demonstration, built on the Agent Development Kit (ADK) and Gemini, shows a customer support agent that could be manipulated into issuing a $10,000 refund on a $149 order and exposing environment variables via AI-generated Python. The architecture adds three security layers outside the model: cryptographic signatures on database writes verified via Cloud KMS backed by Cloud HSM, gVisor sandboxing of generated code with network egress disabled, and a Semantic Gateway applying deterministic checks to prompts and tool calls. It treats system prompts as insufficient boundaries because prompt injection, prompt tuning, or model updates can change agent behavior.

Help Net Security·Aug 18, 00:00 UTC · Aug 18, 2026AI safety & security

When AI Agents Go Rogue: Agent Session Smuggling Attack in A2A Systems

Unit 42 unveils agent session smuggling, where a rogue AI agent hides covert instructions in established Agent2Agent (A2A) protocol sessions to manipulate victim agents.

Palo Alto Networks Unit 42 discovered agent session smuggling, a new attack technique in which a malicious AI agent exploits an established cross-agent session under the Agent2Agent (A2A) protocol to send covert instructions hidden among benign client requests and server responses. The technique leverages the implicit trust agents place in collaborating agents and the stateful, multi-turn nature of A2A sessions; the researchers stress it affects any stateful protocol, not an A2A flaw. Unlike one-shot data-based attacks, a rogue agent can converse, adapt and build false trust over multiple interactions. Proposed mitigations include human-in-the-loop enforcement, cryptographically signed AgentCards for remote agent verification, and context-grounding to detect injected instructions.

Palo Alto Unit 42·Aug 17, 12:32 UTC · Aug 17, 2026AI safety & security2

The AI policy window is open. We need to act.

OpenAI calls for mandatory national AI safety regulation and backs four California AI safety bills as capabilities accelerate.

OpenAI argues the rapid pace of AI progress, including signs of AI-accelerated research, requires urgent policy action through mandatory, capability-based national regulation. The company endorses four California bills (SB 813, AB 1405, SB 1119, AB 1864) covering independent safety assessments, AI auditor standards, youth protections, and safeguards against AI-enabled biological threats. It also commits to industry-led frontier standards, international coordination, and strengthening internal safeguards such as universal trajectory monitoring and mandatory alignment-evaluation gates for its Astra model. The post references chief scientist Jakub Pachocki's warning about recursive self-improvement and Greg Brockman's "defenders window" concept.

OpenAI News·Sep 9, 13:00 UTC · 8d agoAI policy

ChatGPT flaw lets attackers pull Gmail data across accounts via a hidden channel

Check Point found a ChatGPT flaw letting attackers read victims' Gmail and connected-app data via hidden cross-session instructions; OpenAI patched it.

Check Point Research discovered a covert cross-account command channel in ChatGPT's code execution environment, where containers meant to be isolated shared metadata through an internal service based on JFrog Artifactory. In a proof of concept, a victim's session was tricked into retrieving Gmail email data and relaying it to an attacker-controlled session during an ordinary-looking interaction, with reach extending to any connected apps the session was authorized for, including Google Drive, Microsoft Teams, and GitHub. OpenAI fixed the issue and decommissioned the internal service; the same shared infrastructure was also involved in the separately disclosed Hugging Face compromise, though via different techniques.

CSO Online·Sep 9, 11:48 UTC · 8d agoAI safety & security

Researchers Disclose AI-Assisted SharePoint Exploit Chain Reaching Unauthenticated RCE

Rapid7 disclosed CVE-2026-55040, a SharePoint JWT validation bypass chaining into CVE-2026-63520 unauthenticated RCE, with research substantially AI-agent-assisted; patches released.

Rapid7 disclosed CVE-2026-55040 (CVSS 9.1), several JWT validation pipeline issues letting unauthenticated attackers impersonate chosen SharePoint users by SID or UPN, chained with CVE-2026-63520 (CVSS 8.1), an unsafe .NET type instantiation in Business Connectivity Services yielding RCE as the service account. An AI agent contributed significantly across 96 sessions and roughly 80,000 tool calls over 24 active days, though an expert had to steer it and it repeatedly overstepped its threat model. No exploitation of the bypass had been reported as of CISA's July 14 assessment. The RCE affects SharePoint Subscription Edition, 2019, and 2016, plus Project Server 2013 SP1 and Office Web Apps 2013 SP1; the July updates break the chain.

The Hacker News·Aug 11, 16:49 UTC · Aug 11, 2026VulnerabilityCVE-2026-55040CVE-2026-635201

FBI officials say AI is bolstering adversaries, emphasizing need to focus on cyber basics, patching

FBI officials said AI is accelerating adversary capabilities while its new cyber strategy emphasizes continuous patching, cyber hygiene, and AI-enabled defense.

At the Billington CyberSecurity Summit and ahead of a new FBI cyber strategy, deputy assistant director Jason Bilnoski said AI is boosting the speed and capability of both criminal and nation-state attackers, while stressing that basic controls like MFA would still prevent most attacks. Colleen Ferranti urged a shift from quarterly Patch Tuesday cycles to continuous, risk-based patching as AI accelerates vulnerability discovery. The strategy pledges AI-enabled triage, malware analysis, attribution support, agentic AI adoption, expanded Computer Network Operations, ICS Coordinators in every field office, and a pledge on victim relief and privacy.

CyberScoop·Sep 9, 13:00 UTC · 8d agoPolicy & legal

What the Data Says About AI in Security Operations in 2026

Prophet Security's 2026 survey of 250+ security pros: 40% use AI daily; AI users report 25%+ faster investigations and rising AI-driven attacks.

Prophet Security's State of AI in Security Operations 2026 report, based on a survey of 250+ cybersecurity professionals, found 40% of security teams use AI daily and only 4% have no adoption plans. Teams average 100 daily alerts (up to 1,000 at large firms), leave 28% of alerts uninvestigated, and 60% of respondents said missed alerts led to breaches or downtime. Among AI adopters, 72% report at least 25% faster investigations, 56% observed increased AI-driven attacks, and no respondents grant AI full unsupervised autonomy. Data privacy (44%) and explainability (41%) top the adoption hurdles.

The Hacker News·Aug 27, 11:30 UTC · 21d agoIndustry

Introducing ChatGPT for Financial Services

OpenAI launches ChatGPT for Financial Services, pairing built-in market data with GPT-6 Astra for banking research workflows.

OpenAI introduced ChatGPT for Financial Services, a tailored ChatGPT Work experience shaped by design partners Morgan Stanley and Evercore, targeting investment banking and equity research. It bundles premium data from Daloopa, PitchBook, LSEG News, and Crunchbase hosted on OpenAI infrastructure with granular citations, optimized MCP connectors for S&P Global and FactSet, and 50+ connectors, plus planned entitlement integrations with S&P Capital IQ, LSEG, MSCI, Dow Jones Factiva, and Moody's. It runs GPT-6 Astra, which OpenAI claims is state of the art in information retrieval, financial reasoning, and artifact generation, and includes enterprise controls such as SAML SSO, SCIM, role-based access, and no default training on firm data.

OpenAI News·Sep 10, 07:00 UTC · 7d agoAI industry 2 sources

Microsoft extends zero trust deeper into enterprise AI

Help Net Security·Aug 6, 00:00 UTC · Aug 6, 2026Industry1

Horizon3 Announces Integration with CrowdStrike Falcon® Next-Gen SIEM

Horizon3 announces NodeZero integration pushing validated exposure findings into CrowdStrike Falcon Next-Gen SIEM for correlated investigations.

Horizon3 announced an integration enabling validated NodeZero findings to flow into CrowdStrike Falcon Next-Gen SIEM, available now in the CrowdStrike Marketplace. Security teams can ingest and correlate exposure data with endpoint, identity, cloud, and other telemetry during investigations. CrowdStrike claims Falcon Next-Gen SIEM delivers up to 150x faster search than legacy SIEMs at up to 80% lower total cost of ownership.

Horizon3.ai·Sep 15, 13:10 UTC · 2d agoTools

AIUC Raises $40 Million to Certify Enterprise AI Agents

AIUC raised $40 million in Series A funding led by Ribbit Capital to expand its AIUC-1 standard certifying enterprise AI agents against security risks.

AIUC's Series A, led by Ribbit Capital with participation from First Harmonic, brings the company's total funding to $55 million. Its AIUC-1 standard tests AI agents against roughly 5,000 adversarial scenarios covering jailbreaks, prompt injections, hallucinations, anomalous behavior, and data leaks, with quarterly audits. Certified agents include Cursor, ElevenLabs, Fin, Harvey, KPMG, Lovable, and UiPath; the funds will extend audits, standards, and insurance to frontier models.

SecurityWeek·updated Sep 16, 18:07 UTC · 19h ago·first Sep 16, 13:38 UTC · 1d agoAI industry 2 sources

More than half of AI

CyberScoop·Aug 7, 17:10 UTC · Aug 7, 2026Exploit / PoC

Traefik Labs brings independent verification to AI agent governance

Traefik Labs announces Sovereign Trust Plane in Traefik Hub, adding verifiable delegation, policy enforcement, and tamper-evident audit records for AI agent traffic.

Traefik Labs announced the Sovereign Trust Plane for Traefik Hub, generally available by September 30, 2026, providing delegated access, policy enforcement, and tamper-evident records for AI agent, tool, and API traffic. It implements the IETF ID-JAG draft with Okta Cross App Access and Janssen, enforces decisions through OpenID AuthZEN with OpenFGA and Cerbos, and commits cryptographic log fingerprints to transparency checkpoints verified by independently administered witnesses. The gateway also extends enforcement to MCP tool calls and the MCP server's backend API connection.

Help Net Security·Sep 15, 08:20 UTC · 2d agoAI tools & infra1

In Other News: InjectEave Attack, SIM Swapper Sentenced, Glasswing Findings Review

SecurityWeek weekly roundup covers exploited WordPress Super Forms flaw CVE-2026-14894, a $10M bounty on an Iranian cyber official, InjectEave attacks, and more.

SecurityWeek's weekly roundup aggregates short items across the threat landscape, including Microsoft's report of invisible Unicode tag characters used in financial phishing lures at up to 2.37 million messages per day, and active exploitation of critical WordPress Super Forms plugin flaw CVE-2026-14894 to deploy PHP webshells. Policy items include a $10 million US bounty for IRGC-CEC Cyber Operations Command lead Amir Yaryab, a 16-month prison sentence for ex-AT&T employee Kenneth Carter over SIM swaps with nearly $600,000 in intended losses, and the US arraignment of Russian Sergei Anatolyevich Filimonov over credential harvesting. Technical items include InjectEave electromagnetic side-channel attacks tested on 11 devices, an FBI warning on OAuth consent phishing, and VulnCheck's finding that only 202 of 26,153 Anthropic Project Glasswing findings were fixed.

SecurityWeek·Sep 11, 14:19 UTC · 5d agoIndustry in the wildCVE-2026-148942

Deloitte strengthens AI governance to support trusted enterprise adoption

Deloitte expanded AI Controls and Assurance services to close governance gaps, noting only 21% of firms have mature agentic AI governance.

Deloitte announced expanded AI Controls and Assurance services spanning AI governance frameworks, risk assessments, model validations, AI-enabled internal audit, ecosystem integration with hyperscalers, and regulatory readiness including SOC reporting. The launch cites Deloitte's State of AI in the Enterprise finding that 74% of companies plan to deploy agentic AI within two years while only 21% report mature governance for autonomous agents. The offerings align with Deloitte's Trustworthy AI framework and target the AI lifecycle from exploration to enterprise-scale deployment.

Help Net Security·Aug 12, 00:00 UTC · Aug 12, 2026AI industry

Meta Failed to Catch Hundreds of AI Child Abuse Ads. Some Included Images of Real Kids

Meta's AI ad-detection failed to catch 350+ CSAM video ads on Facebook, Instagram, and Threads, some depicting images of real children.

The Tech Transparency Project found over 250 additional ads containing child sexual abuse material on Meta platforms since August, on top of ~53 previously removed, exceeding 350 total since late last year. Some ads used images of real children, including a European royal family minor and teen influencers, morphed into graphic sexual videos via AI face-swapping. Ads linked to nudification apps from Chinese developers and reached over 29,000 EU accounts plus thousands in the US, UK, Australia, and India.

WIRED · Security·Sep 8, 12:00 UTC · 9d agoAI safety & security

AI labs have a data trust problem that their policies haven't solved

Nvidia, Palantir, and Booz Allen restrict Anthropic's Fable over data-retention distrust, exposing gaps in AI labs' customer data policies.

Nvidia limits Anthropic's Fable to non-sensitive work and runs its own Nemotron models for internal tasks, while Palantir blocks Fable deployment until Anthropic grants irrevocable zero-data-retention guarantees, and Booz Allen bans it for proprietary cybersecurity work. John Schulman and researcher Sarah Hooker explain that labs can still extract customer IP from metadata, user traces, and synthetic data even under zero data retention. The trust crisis crystallized around Tristan Buckmaster's accusation that OpenAI's Codex absorbed his Navier-Stokes drafts, though OpenAI later stated his prompts could not have influenced its model.

The Decoder·Sep 15, 17:52 UTC · 1d agoAI industry

Risky Bulletin: Academics find source code overlaps between Geedge and China's Great Firewall

Academics linked Chinese vendor Geedge Networks' Tiangou Secure Gateway source code to one of the Great Firewall's three traffic filtering capabilities.

US researchers presenting at USENIX Security reconstructed Geedge Networks' Tiangou Secure Gateway firmware from over 100,000 leaked files, including Git repositories with commit history, and matched its filtering behavior to sections of China's Great Firewall. They found only 1 of 3 characterized DNS injectors matched Geedge code, noted the system relies on memory-unsafe C components and copied third-party code, and said its bugs could aid future circumvention tools. Geedge also exports censorship tools to Kazakhstan, Ethiopia, Pakistan, and Myanmar. The newsletter additionally rounds up multiple breaches.

Risky Business News·Aug 21, 02:55 UTC · 27d agoResearch2

Zero trust has a big AI agent problem ahead

Experts argue agentic AI undermines zero trust: chained authorized actions create exfiltration paths, unregistered agents evade identity controls, and agent-to-agent messages stay opaque.

Security practitioners including Nik Kale (CoSAI), Krti Tallam (Kamiwaza.ai), and Mike Wilkes (Aikido Security) argue that agentic AI breaks zero trust assumptions because individually authorized actions can compose into unauthorized outcomes, such as chained reads and writes creating an exfiltration path. Most enterprise agents are unregistered shadow IT or third-party launched, subagents inherit privileges without recognized identity, and agent-to-agent communication, sometimes embedding instructions in media files, remains invisible to security teams. Proposed mitigations include short-lived delegated credentials modeled on OpenPGP subkeys, rate limits, sandboxing, approval gates, and immutable activity trails.

CSO Online·Sep 3, 08:25 UTC · 14d agoAI safety & security