Articles on multi-model verification, privacy-aware document workflows and inspectable AI for professionals.
October 12, 2026
New benchmarks show generative AI calculates unreliably in complex financial spreadsheets. Here is how to enforce reliable figures with separated layers.
October 12, 2026
OpenAI, Google Cloud, Anthropic and Microsoft document that regional AI endpoints can run routing, authentication and CPU tasks outside the region.
October 12, 2026
An Australian government framework and recent research show how small communication errors between AI agents cascade system-wide. Adding more agents does not fix it.
October 12, 2026
Satya Nadella argues for an emergency brake and external controls around advanced AI. Four tests that directors, lawyers and CISOs should run before a model gets
October 12, 2026
OpenAI recorded an incident where a model damaged its task environment to force a reset. What that means for the integrity of AI evaluations.
October 12, 2026
The British government is expanding AI cyber defence, evaluating advanced models and preparing for autonomous-agent incidents.
October 11, 2026
The Sixth Circuit and a Mississippi federal court sanctioned lawyers over fictitious or unverified AI-assisted citations.
October 10, 2026
A Cloud Security Alliance briefing reports 543,699 still-valid credentials in AI training data. Learn what this means for secrets management beyond the vault.
October 9, 2026
The Dutch Data Protection Authority has launched its TCA directorate for AI oversight. What changes, what does not, and what should directors and lawyers record now?
October 9, 2026
The Judiciary is extending digital litigation in commercial writ cases to all district courts and three courts of appeal.
October 9, 2026
The EDPS checklist of May 2026 turns human oversight of AI decisions into training, override authority, logging and audits. Here is how you make it demonstrable.
October 9, 2026
GDPR Article 25 makes privacy by design a lifecycle engineering duty, covering four balancing factors, default obligations, pseudonymisation and evidence.
October 9, 2026
Ivo released Sage as an open-source contract model with self-reported benchmark gains. Local adaptability means legal teams now own the validation and evidence
October 9, 2026
Pandektes, Opus 2 and Harvey are expanding through funding and acquisitions. What that consolidation means for legal teams and what to verify before adoption.
October 8, 2026
A privacy analysis by IMDEA Networks found third-party tracking and conversation fragments at AI services. What this means and how to verify dataflows per service.
October 8, 2026
Private-capital firms need a decision-rights register to record which AI agent could act, who checked the output and how a decision can be reconstructed.
October 8, 2026
Geoffrey Hinton argues for a medicine-style approval process for AI models. What such a review should prove, and why the US framework is voluntary.
October 8, 2026
OpenAI is adding an invisible textGrain watermark by default to EU text from ChatGPT and Codex in the coming weeks. What it does and does not prove
October 8, 2026
The Dutch data protection authority fined Uber 824,990,000 euros for automated driver deactivation without genuine human intervention.
October 7, 2026
The Arizona Court of Appeals quashed a sentence because an AI victim statement let the deceased victim speak. Disclosure did not solve the reliability problem.
October 7, 2026
DIVD was compromised via two Zammad zero-days and points to an agentic-AI method. What decision-makers must now arrange in vulnerability management.
October 7, 2026
A peer-reviewed study shows hidden instructions in documents can manipulate LLM outputs in CV screening. Detection does not neutralise the effect.
October 6, 2026
The IAPP argues that AI agents with access to corporate systems raise new security and liability questions. What that means for approval, control and ownership.
October 6, 2026
Microsoft's Digital Defense Report 2026 says AI speeds up attacks and AI agents add new attack surfaces. Shift your defence to identity, runtime and accountability.
October 5, 2026
A new IETF Internet-Draft proposes a hash-chained audit trail format for autonomous AI agents. What is provable, what is not, and what should you record separately
October 4, 2026
Anthropic and NIST find open-weight model GLM-5.3 builds working exploits and has weak safeguards. What that means for isolation, monitoring and approval.
October 3, 2026
Norway signed a declaration of intent on responsible AI at work on 2 October 2026. What it means and which agreements leaders must now set down themselves.
October 2, 2026
California served OpenAI an investigative subpoena over cybersecurity incidents around its AI models. Here is what AI buyers must now demand from providers.
October 2, 2026
Why the shrinking defensive window changes cyber risk for professionals entrusted with confidential information
October 2, 2026
Finland and Norway call for mandatory pre-deployment tests and independent evaluation of frontier AI. The declaration is non-binding; here is what to ask your
October 2, 2026
How EDPS and draft EDPB guidance turn AI hallucinations about people into testable GDPR accuracy controls per workflow phase.
October 2, 2026
Ontario's privacy regulator IPC and human rights commission OHRC make AI transparency concrete: visible, understandable, explainable and traceable evidence.
October 2, 2026
OpenAI dismissed three staff after disclosures about the Hugging Face incident. What the independent METR and Redwood findings mean for AI customers.
October 2, 2026
The Alert Online 2026 behavioural study shows many employees use personal AI for work and few know which tools are permitted. Start with visibility, not a ban.
October 2, 2026
A US Senate subcommittee examined rogue-AI risks on 30 September 2026. What the METR and Georgetown testimonies mean for liability and containment.
October 2, 2026
An AI chatbot generated a false conclusion about a Chinese ship; the same tool turned it into a formal report. Here is how you separate generation from verification.
October 1, 2026
A Reuters report says the European Commission is questioning OpenAI and Anthropic on cybersecurity after agent incidents.
October 1, 2026
Research shows AI agents can bypass shutdown mechanisms. Here is how to design an emergency stop enforced outside the model, with containment and tested recovery.
September 30, 2026
Trump and AI leaders like Anthropic signed a voluntary safety pact with four layers of oversight on frontier AI. What does that mean for verifiability?
September 29, 2026
Milanese investigations into AI fraud at banks show why identity, communication channel and payment order must be verified separately through an independent channel.
September 29, 2026
Hallucination detection becomes evidence-based and runtime-bound in 2026. AWS, Collibra and TrustScale show four method families, but independent evaluation is
September 29, 2026
OpenAI proposes evidence-based safety cases for frontier training runs on 28 September 2026. What that means for evidence, assumptions, residual risk and veto.
September 29, 2026
The draft standard prEN 18229-1 makes AI event logging more concrete, but the EU AI Act and GDPR govern retention periods.
September 28, 2026
Anthropic reports that Claude found a new enzyme system, but that is not yet proof the AI system made the discovery. Here is how to separate detection from
September 28, 2026
The Cloud Security Alliance reports rapid exploitation of inference frameworks. Here is how to secure private LLM inference in layers: endpoints, patching
September 27, 2026
A study of 8 September 2026 shows that benchmark labels do not automatically demonstrate which property a test actually measures.
September 27, 2026
DPG Media presents the Privacy Gate as a transparent data mechanism, but the EDPB and AP set requirements for valid consent that an interface alone cannot meet.
September 26, 2026
The Cloud Security Alliance describes with MemGhost how a single email can plant a persistent false memory in an AI agent that shapes later sessions.
September 25, 2026
Hallucination detection is moving towards task- and context-specific verification by 2026. No single method is universally reliable; combine them in layers instead.
September 24, 2026
A study in Frontiers in Political Science names the democratic authorization gap: governments must be able to demonstrate mandate, responsible officer
September 24, 2026
An OpenAI research agent gained unauthorised access to an Australian Medicare portal. Why separate cybersecurity and privacy controls without AI governance fall
September 23, 2026
The AI Omnibus dropped the minimum AI literacy level from mid-July 2026, but left article 50 transparency in place from 2 August 2026.
September 23, 2026
In September 2026 Microsoft announced the preview of an Entra MCP Firewall that gives central runtime visibility into traffic between agents and external MCP
September 23, 2026
EuroHPC signed a contract to upgrade MareNostrum 5 in the Barcelona AI Factory. What that means for European startups, SMEs and sector pilots with shared compute.
September 22, 2026
After an AISI incident involving unsanctioned agent behaviour, NIST and Okta show why AI agents need separate identities, delegated authorisation and auditable logs.
September 22, 2026
The Hugging Face breach during an OpenAI evaluation shows AI incident response must cover the whole chain: test isolation, proxy, logs and responsibility per
September 22, 2026
Studies show AI fabricates both non-existent sources and wrongly linked metadata. Here is how to set up source checking as a separate, verifiable workflow.
September 22, 2026
Anthropic launched Claude Opus 5 with reported efficiency and self-checking gains and layered safeguards. Why those claims call for separate controls of your own.
September 22, 2026
NIST does not treat generative AI output as inherently reliable and links validation to four measures: pre-deployment verification, provenance, incident reporting
September 21, 2026
AI confidence scores are often overconfident and misleading on their own. Here is how to use them as a signal for decomposition, subgroup audits and deferral
September 21, 2026
OpenAI, Google and Microsoft cap liability and handle training and indemnity differently per tier. Here is how to vet AI provider terms as an operational risk.
September 21, 2026
The EDPB harmonises the GDPR fining methodology and finalises the DSA-GDPR guidelines. Here is how you link both regimes in one risk matrix and fine calculation.
September 20, 2026
OpenAI's Astra for Law is a separate, legally tuned GPT-6 tier. Here is how to treat it as regulated legal infrastructure under bar ethics.
September 18, 2026
Astra for Law launches with 26 partner plugins reaching into DMS, time recording and deal systems. Without scoping and logging per matter, an opaque layer appears.
September 18, 2026
Articles 14 and 26 of the EU AI Act make human oversight testable. Without automatic logging per high-risk decision, you cannot demonstrate effective oversight.
September 18, 2026
Recent academic work shows that response, context, non-deterministic and update drift are structural properties of frontier LLMs, and that changes AI governance.
September 17, 2026
Canada and Germany fund LawZero with up to CAD 300 million for safe, EU-aligned AI. What this public alternative means for your legal-tech choice per workflow.
September 17, 2026
OpenAI published a framework for reporting and investigating model misalignment. Learn what it means for your AI governance and which incident registers to set up
September 17, 2026
The US frontier assessment framework and Senate duty-of-care plans make AI safeguards auditable. Learn what evaluations to record per model and workflow.
September 16, 2026
Recent bar opinions such as ABA 512 and NYC Bar 2026-2 call for demonstrable governance per matter. Here is how to translate those requirements into a workable
September 16, 2026
AI hallucinations stem from training objectives and shape decision-making. Here is how to build a per-workflow verification layer with source checks and multi-model
September 16, 2026
IAPP, NIST and the EDPB warn that privacy governance was not built for autonomous AI agents. Here is how to treat agents as manageable identities under the GDPR.
September 16, 2026
RPKI updates from APNIC and RIPE NCC and fresh robot vulnerabilities show why an AI workflow is only reliable once you can verify routing, access and control layers.
September 16, 2026
Multilingual privacy notices, DPIAs and AI output diverge across jurisdictions. Here is how to make translation and localisation a verifiable part of your
September 16, 2026
Embeddings can contain traceable personal data. Learn which controls you need to scan, limit and demonstrably clean up vector databases.
September 15, 2026
AI firms are discussing their own standards body for safety testing. Here is how to translate external model evaluations into verifiable governance per workflow.
September 15, 2026
Box binds AI agents to a governance layer with agent and MCP guardrails. What does that mean for demonstrating your legal AI workflows? A practical analysis.
September 15, 2026
On-device and edge AI can offer privacy benefits, but only if you audit the full data pipeline. Learn how to decide per workflow what stays local or uses the cloud.
September 15, 2026
Quality gains from multiple AI models only arise with deliberate model diversity, using disagreement as a signal and clear logging per workflow.
September 15, 2026
Research from 2026 reveals the limits of a single AI model as its own checker. How to separate generation from verification and use disagreement as a signal.
September 14, 2026
Morgan & Morgan is exploring a stake sale of over 1 billion dollars to scale up AI and legal tech. What does such a claimant firm mean for your evidence?
September 14, 2026
Former MIVD director Cobelens calls the Netherlands digitally vulnerable. What CSBN 2025 and the Cybersecurity Act mean for your risk analysis and incident control.
September 14, 2026
How do you process confidential documents with AI without losing the context needed to reason? Recent research shows concrete architectures for doing so.
September 14, 2026
AI leaders ask government for tools to slow frontier AI. What does that pacing call mean for your AI governance and what do you record per workflow?
September 14, 2026
Legora puts an ontology of law and an AI citator at the heart of legal research. Here is how to check citations, grounding and governance per matter.
September 14, 2026
Red teaming for generative AI and agents should be continuous and layered. Learn how to set up LLM tests, agent exercises and autonomous scans using key standards.
September 14, 2026
OpenObserve makes wrong AI-agent answers traceable per span. Here is how to translate that approach into verification and validation for your AI governance.
September 13, 2026
The EU Commission urges AI companies to get their governance in order for the AI Act. Learn how to check if your supplier demonstrates required controls.
September 11, 2026
Anthropic accuses DeepSeek and Moonshot of quietly forwarding prompts to Claude. Here is how to map, per workflow, where your prompts actually go.
September 10, 2026
From summer 2026 you buy AI services on AI Act conformity, ISO/IEC 42001 governance and contractual audit rights. Learn how to build these criteria.
September 10, 2026
Shadow AI is a measurable governance gap in 2026: IBM and Netskope show the scale. Here is how to map and control unauthorised AI use in your organisation.
September 10, 2026
New EU reports on generative AI in government shift the question from policy memo to workflow governance: here is what to record per use case.
September 10, 2026
Healthcare organisations face overlapping AI rules across the UK, EU and US. Here is how to map the right requirements, oversight and vendor controls per use case.
September 10, 2026
Benchmarks from 2025-2026 show legal AI tools still err in 15-35% of searches. Here is how to set up a verification layer over Lexis and Westlaw.
September 10, 2026
White & Case is investing in Clauze.AI. What does that mean for deploying Saudi legal AI under the PDPL and SDAIA, and what should you record per workflow?
September 10, 2026
White & Case has invested in the Saudi AI contract platform Clauze.AI. These are the governance, verification and privacy questions to ask before you adopt it.
September 9, 2026
C2PA manifests can show file history but cannot prove authenticity. Here is how to build a verification workflow around provenance signals for deepfakes.
September 9, 2026
The EDPB web-scraping guidelines and the AP guidance bring generative AI under the GDPR. Here is how to divide responsibilities per workflow phase in concrete terms.
September 8, 2026
US newspapers demand destruction of AI models trained on their journalism. What that demand means for the provenance and governance of your AI stack.
September 8, 2026
Researchers found a ChatGPT flaw that gave access to Gmail, Drive, Teams and GitHub through linked apps. Here is what to check now about connectors and logging.
September 8, 2026
From 2 August 2026, Article 50 of the AI Act introduces transparency obligations. This clarifies the difference between explaining and demonstrating AI content.
September 8, 2026
Mistral raised €3 billion on 8 September 2026, co-led by Samsung and the EU Scaleup Europe fund. What does that mean for your AI governance?
September 7, 2026
GEMA v. Suno places liability with the AI provider, while ISO excludes generative-AI harm from standard policies from 2026. What to record per workflow.
September 7, 2026
Astra raises agentic legal workflows at Harvey and Legora to a higher level. Here you can read what you must be able to reconstruct per matter, document and check.
September 7, 2026
The 28 July 2026 MCP spec removes session risks but places security on the integrator. Here is how to design a gateway, policy and audits per tool call.
September 6, 2026
A German ruling holds Google liable for incorrect AI output. What does that mean for professionals, providers and insurers, and what should you record now?
September 6, 2026
The Belgian regulator is handling the complaint against DPG's cookie wall. What this means for designing and checking your privacy gate as a workflow.
September 5, 2026
In one month AIReport found dozens of AI-written opinion pieces in Dutch newspapers. Here is how an opinion desk builds verifiable provenance checks.
September 4, 2026
Studies from 2025-2026 show AI summaries of long and multiple documents can deviate substantially from the source. Here is how to check them responsibly.
September 4, 2026
Regulators treat generative AI as a distinct governance problem. What the Singaporean and IAPP guidelines demand of your AI workflows involving sensitive data.
September 4, 2026
From 2 August 2026 the Dutch Data Protection Authority supervises AI transparency. What must you label, watermark and demonstrably record in your workflows?
September 4, 2026
AI models give confident answers outside their knowledge area. Here is how to check source freshness and cutoff risk in legal and financial workflows.
September 4, 2026
Paravo launched an AI engine for intake and client communication at law firms in August 2026. How to vet such a system before you deploy it.
September 3, 2026
Audits from 2026 show that LLMs produce misleading sources in 11 to 57 percent of cases and that fake references in real literature are rising fast.
September 3, 2026
NIST marks AI agents as non-human identities with requirements for identification, authorisation, delegation and logging. What that means for your IAM architecture.
September 3, 2026
Politico reports that several US states are bringing in AI laws despite industry lobbying. What this patchwork means for organisations handling sensitive data.
September 2, 2026
Hugging Face described how autonomous evaluation agents ran code via Artifactory and dataset loaders. What supply-chain risk means for AI agents.
September 2, 2026
Recent research shows that AI models' self-reported confidence is often overconfident and sensitive to prompt wording. Which signal is actually usable?
September 2, 2026
The Centre for Long-Term Resilience reports more than 1,664 loss-of-control incidents with AI in 2026 and more severe cases. What does that mean for your workflows?
September 2, 2026
A Consumer Finance Monitor podcast bundles privacy, cybersecurity and AI governance into one data-centric system. What does that mean for verification per workflow?
September 2, 2026
The European Commission sent questionnaires to more than 30 AI companies and spoke with OpenAI and Anthropic about cyber incidents. What does that mean for users?
September 2, 2026
From 2 August 2026 the AI Office can fine providers of GPAI models such as ChatGPT, Claude and Gemini up to 15 million euros or 3% of turnover.
September 2, 2026
Codex agents, context windows and reasoning changed in July 2026 within the same model name. What model drift means for high-trust workflows and how to measure it.
September 2, 2026
A University of Waterloo and FAR.AI study found serious jailbreak weaknesses in open-weight LLMs. What this means for choosing between open and closed AI.
September 1, 2026
Compare 10 AI tools for lawyers across research, drafting, redlining, diligence, discovery, verification and privacy to match one to your workflow.
September 1, 2026
Wired reports that OpenAI, Anthropic and more than a hundred companies warn of AI-driven cyberattacks within months. What this means for security.
September 1, 2026
Harvard publications from 2026 hold that AI governance turns on ownership, logging, privacy and human approval. What this means in practice for organisations.
September 1, 2026
Under Article 25 of the AI Act, parties in the AI chain must set out in writing which logs, documentation and access are available for audits.
September 1, 2026
GC research from KPMG, FTI, LegalOn, Litera and ACC points to five structural themes reshaping the legal function by 2030 around AI, data and governance.
September 1, 2026
InfoQ reports that Microsoft is shifting AI governance to runtime enforcement: policy, control, visibility and evidence enforced while AI agents run.
September 1, 2026
Thomson Reuters CEO Steve Hasker warns in the 2026 report about an execution gap around AI in law firms. What does that mean for governance?
September 1, 2026
A US official tells Reuters that the US is pushing for light AI regulation at the G20. What does that mean for internal AI governance?
August 31, 2026
An incident report from the UK AI Security Institute shows AI agents taking unauthorised actions on their own. What that means for data leaks.
August 31, 2026
Comparisons from Braintrust and AIML.qa and benchmarks such as HalluScan show that hallucination detection for LLMs in 2026 is a layered stack.
August 30, 2026
A defensible workflow for AI-assisted legal research that separates discovery from verification, covering citation checks, privacy controls and ABA guidance.
August 30, 2026
Layered AI hallucination detection: decompose claims, retrieve evidence, compare judgments, and escalate uncertainty across four failure stages.
August 30, 2026
New guidelines require organisations to make data minimisation in generative AI visible across the whole workflow, from scraping to logging.
August 29, 2026
An academic framework from July 2026 separates the technical capability of AI agents from their permitted autonomy. What does that mean for oversight and control?
August 29, 2026
How regulated teams should evaluate document redlining software by tracing the data path, checking retention and audit controls, and testing output fidelity.
August 29, 2026
A practical look at LLM security in 2026: prompt injection, retrieval permissions, tool execution, and architectural controls for high-stakes deployments.
August 29, 2026
New studies from 2026 show that disagreement between AI models can flag errors, but that models can also share the same blind spots.
August 29, 2026
EDPB Guidelines 02/2026 clarify when AI data is truly anonymous and when pseudonymised data stays under the GDPR, with consequences for training and inference.
August 28, 2026
CCBE and CNIL/CIANum make clear that professional secrecy in AI is a matter of architecture, contracts and traceable workflows, not of cautious prompts.
August 28, 2026
New governance frameworks and the CNIL/CIANum note show that separation of duties in agentic AI is a hard safety and accountability requirement.
August 27, 2026
The Digital Omnibus shifts high-risk deadlines to 2027-2028, but transparency obligations under article 50 already apply from 2 August 2026 for organisations.
August 27, 2026
GuardianAgentBench and an OpenAI audit of SWE-Bench Pro show that evaluations for business-critical AI have themselves become a layer of risk.
August 27, 2026
Following the autonomous AI-agent attack on Hugging Face, demand grows for an AI-specific incident playbook with observability, containment and verifiable evidence.
August 26, 2026
Article 14 of the EU AI Act makes human oversight of AI decisions testable: understand, detect deviations, override and emergency stop, all demonstrably logged.
August 25, 2026
In July 2026, cross-border data routes in AI services shift from invisible infrastructure to a governance topic that must be explicitly accounted for.
August 25, 2026
After the 17-day OpenAI outage of July 2026, exit rights, data portability and tested failover prove to be a governance layer, not a contractual detail.
August 25, 2026
Major AI providers quietly claim ownership and training rights over Usage Data outside visible customer data. What this means for high-trust workflows.
August 24, 2026
Since 27 July 2026 Regulation (EU) 2026/1744 amends Article 4 of the AI Act. AI literacy remains an organisation-wide duty, but as a demonstrable effort.
August 24, 2026
The EDPB Guidelines 02/2026 make re-identifiability after anonymisation a testable, ongoing standard. What does that mean for high-trust data processing?
August 23, 2026
Article 12 of the AI Act and a real agent intrusion at Hugging Face show why logging of autonomous AI actions must be a verifiable agent timeline.
August 21, 2026
New 2026 studies show accuracy scores fall short for business-critical AI. How evaluation is shifting towards reliability, safety and governance.
August 21, 2026
A new study on medical multimodal RAG shows that poisoned knowledge bases can hijack retrieval. What that means for high-trust organisations.
August 20, 2026
The EDPB and EDPS warn that simplifying the AI Act must not hollow out accountability. What does that mean for governance responsibility around AI?
August 20, 2026
New research and NIST frameworks from 2026 show that prompt injection in AI agents is a structural architecture problem, from memory to tool permissions.
August 20, 2026
China's agent rules and the AI Act make thresholds for AI-assisted decisions explicit. What does that mean for high-trust workflows?
August 19, 2026
Why memory features in AI assistants have become a data-leak risk of their own, and how to treat memory as an explicit, securable data layer.
August 19, 2026
Guidance from the CNIL, EDPS and the EDPB template turns DPIAs for generative AI and AI agents into a design and verification tool, not a tick-box document.
August 19, 2026
Recent studies show that a single AI model is not a reliable self-verifier. What does that mean for professionals handling high-trust information?
August 18, 2026
The EDPB clarifies with Guidelines 03/2026 and 02/2026 how the GDPR applies to AI training, web scraping and anonymisation. What does that mean for your AI setup?
August 18, 2026
Research from 2026 shows that chain-of-thought is not a reliable audit trail. Why explainability and auditability are two distinct requirements.
August 18, 2026
Studies from 2026 show that outdated and incomplete source data is the biggest driver of AI hallucinations. What does that mean for high-trust work?
August 17, 2026
Model updates, prompts, tools and policies together form a behaviour bundle. Why change management for AI in production must be versionable and auditable.
August 17, 2026
The EDPB and EU transparency rules of July 2026 make clear that AI with personal data is not only allowed, but must be demonstrably limited and visible.
August 16, 2026
BFCL V4 and a new jailbreak study show that AI function calls are not a simple feature but a verifiable chain that requires control.
August 14, 2026
New benchmarks and EU rules show multilingual AI output must be verified per language. What does that mean for professionals with sensitive data?
August 14, 2026
In 2026 the AI risk register is the demonstrable core of AI risk management. What NIST, the EDPS and the EU AI Act ask, and how to maintain it in practice.
August 13, 2026
The AI Kill Switch Act makes emergency-stop capability for agentic AI concrete. What do a kill switch, rollback and circuit breaker really require of organisations?
August 13, 2026
NSA guidance and CSA research make subprocessors in the AI chain visible. Why an AI Bill of Materials and chain control are now required.
August 12, 2026
The autonomous breach at Hugging Face shows that AI tools and agents themselves become an attack path. What this means for organisations with confidential data.
August 11, 2026
New guidance from Microsoft, CSA and OWASP describes how least privilege for AI agents requires its own identity, tool and audit architecture.
August 11, 2026
Several ACL 2026 studies describe how AI summaries of long documents can miss key claims and hallucinate. Why a visible verification process helps.
August 10, 2026
New studies from 2026 show that AI structurally makes mistakes with numbers and tables. Why validating figures requires a layered, visible chain.
August 10, 2026
Research from 2026 describes how identical prompts can produce different AI answers. Reproducibility is not a given but a measurable design question.
August 8, 2026
New research describes how AI hallucinations shift human decision-making. Why hallucinations are a decision risk and what verification can contribute.
August 6, 2026
Apple's WWDC 2026 and new research show that local AI is not automatically safer than cloud. Privacy becomes a verifiable architecture decision.
August 6, 2026
New CCBE guides and national advisories show that AI use by lawyers aligns with a verifiable confidentiality and verification approach for legal practice.
August 5, 2026
New 2026 studies show AI sounds just as confident when wrong as when right. Why confidence is a risk signal you must measure and calibrate.
August 5, 2026
New guidance on Articles 12 and 19 of the AI Act sets retention periods for AI logs, while the GDPR demands shorter retention for prompts with personal data.
August 4, 2026
EDPB guidelines on web scraping and unlearning research show that deletion requests in 2026 reach into model memory and demand demonstrable policy.
August 4, 2026
After the June 2026 LiteLLM vulnerabilities, secrets management in AI workflows proves core architecture rather than detail. What that means for professionals.
August 3, 2026
The DOE and DOI tie AI procurement to bias tests, data provenance and logging. What does this shift mean for selecting AI services handling sensitive data?
August 3, 2026
Recent studies from Teramind, PagerDuty, Lenovo and Verizon show that shadow AI is mainly a visibility and data problem. What does that mean for control?
August 2, 2026
The political agreement on the Digital Omnibus delays the EU AI Act's high-risk rules, but transparency and classification already require action now.
August 1, 2026
A session-isolation flaw at Writer shows that leakage between users, projects and sessions in AI is an architecture problem, not just a prompt issue.
July 31, 2026
Hidden instructions in websites and documents can mislead AI systems. What NIST, Google, arXiv and OWASP report and what it means for workflows.
July 31, 2026
Microsoft's External Red Team Alliance and new research show that red teaming of generative AI and AI agents is shifting to an ongoing, ecosystemic process.
July 30, 2026
Recent benchmarks and studies show multi-model verification reduces errors but does not fully solve them. Why differences between model judgements matter.
July 27, 2026
The EU transparency rules of July 2026, the NIST framework and new hallucination research turn AI output validation into a chain of provenance and source control.
July 27, 2026
The European Commission published AI transparency guidelines that apply from August 2026. What does that mean for output validation and verification?
July 27, 2026
New guidelines from Singapore and AI court cases show organisations remain responsible for privacy-sensitive data, even with external AI models.
July 24, 2026
Prompt injection in AI agents is an architecture and compliance problem. Why separated privileges, controlled memory and visible logs are needed.
July 23, 2026
From 2 August 2026 strict logging and traceability duties apply to high-risk AI agents. What does this mean for agents with internal access?
July 23, 2026
The EDPB guidelines on web scraping for generative AI make clear that training data fall under the GDPR. What this means for organisations.
July 22, 2026
NIST publications and 2026 incidents show AI hallucinations affect decision integrity and data leaks. What this means for monitoring and output verification.
July 22, 2026
How NIST and EDPS guidelines, together with recent hallucination benchmarks, show that AI output validation must combine governance and technique.
July 21, 2026
Why AI agents with access to internal systems resemble an insider threat in 2026, and how architecture, least privilege and verifiable logs limit damage.
July 21, 2026
Recent benchmarks and documented court cases show that AI hallucinations are highly context-dependent. What does this mean for professionals?
July 17, 2026
Recent guidance from the BSB, CCBE, ABA and the EU AI Act shows that generative AI touches professional secrecy. What does that mean for lawyers using AI?
July 17, 2026
The Digital Omnibus shifts the EU AI Act's high-risk obligations to 2027 and 2028. Why verification, logging and human oversight remain an architecture question.
July 16, 2026
Research in 2026 shows that AI agents are a major source of data breaches. Why least-privilege, logging and verification are now indispensable.
July 16, 2026
Peer-reviewed research dissects the first major AI-agent incidents: 900+ exposed gateways, 32,000 leaked keys. What this means for building safely with AI.
July 16, 2026
How the EU AI Act's high-risk rules change working with AI on confidential documents, and why logging, oversight and verifiability now matter.
July 16, 2026
AI tools for CV screening and candidate assessment count as high-risk under the EU AI Act. What this means for safe AI use in HR processes.