Search: “Oracle Analytics”

GPT-6 Astra: The next generation in intelligence for work

OpenAI launched GPT-6 Astra, its most capable and aligned model, in ChatGPT Work, Codex, and the API, claiming frontier performance and cybersecurity gains.

GPT-6 Astra is now available in ChatGPT Work, Codex, and the API, with OpenAI claiming state-of-the-art performance in computer use, browsing, professional work, software engineering, cybersecurity, and science. Astra is billed as the first model to reach the Critical cybersecurity capability threshold under OpenAI's Preparedness Framework, with 89% fewer unintended outcomes than GPT-5.6 Sol and 74.7% fewer than Claude Fable 5.1 on OpenAI's internal computer-use safety benchmark. Pricing starts at $10 per million input tokens and $50 per million output tokens, with claims of occupying most of the cost-efficiency frontier on Terminal Bench 4.0 and the Artificial Analysis Intelligence Index. New enterprise admin controls and plugins from Oracle Analytics, Power BI, Navan, and Avalara launched alongside the model.

OpenAI News·Sep 9, 11:00 UTC · 7d agoModel release1

Oracle Critical Security Patch Update, September 2026 Review

Oracle's September 2026 Critical Patch Update fixes 673 vulnerabilities, including 104 critical, with many remotely exploitable in E-Business Suite and Fusion Middleware.

Oracle released 673 security patches in its September 2026 Critical Patch Update: 104 rated critical, 503 high, and 59 medium. Oracle E-Business Suite received the most patches (159, 24% of total), with 19 exploitable without credentials including CVE-2026-83327, CVE-2026-83452, and CVE-2026-83462 at CVSS 9.8. Fusion Middleware received 153 patches with 78 remotely exploitable without authentication, and 41 patches address third-party open-source component flaws. Qualys published detection QIDs for vulnerable assets.

Qualys ThreatPROTECT·14:15 UTC · 8h agoAdvisoryCVE-2026-83154CVE-2026-83196CVE-2026-83197+10 CVEs

How to connect AI usage to business value

OpenAI explained how ChatGPT Admin Console analytics link AI usage, spend, and Codex contributions to business outcomes.

OpenAI published guidance describing analytics features in the ChatGPT Admin Console that combine usage, credit, and token data across ChatGPT Work and Codex. The Insights task classifier groups messages into use cases such as software engineering and sales research, while an Outcomes view tracks Codex contributions to merged commits and lines of code. An Admin plugin and Admin API let teams automate reporting and combine AI analytics with business metrics like ticket resolution time or revenue.

OpenAI News·12:00 UTC · 10h agoAI industry

Oracle’s September patches put Fusion Middleware back in the hot seat

Oracle's September 2026 CPU ships 673 patches including six CVSS 10.0 flaws in Fusion Middleware and Hyperion, none exploited in the wild.

Oracle's September 2026 Critical Security Patch Update delivers 673 patches across 17 product families, led by E-Business Suite with 159 fixes and Fusion Middleware with 153. Six CVSS 10.0 vulnerabilities in Access Manager, Forms, Internet Directory, Platform Security for Java, WebLogic Server, and Hyperion are remotely exploitable without authentication, and Oracle reports none exploited in the wild. Now patching monthly, Oracle urged immediate deployment and warned that unsupported releases are not tested for these flaws.

CSO Online·15:54 UTC · 6h agoVulnerabilityCVE-2026-71133CVE-2026-83099CVE-2026-83059+16 CVEs

Recorded Future Launches Impact and Metrics Dashboard

Recorded Future releases an Impact and Metrics Dashboard aggregating risk-reduction, detection, and analyst-efficiency metrics for customer leadership reporting.

The dashboard pulls data from a customer's environment, alerts, integrations, threat detections, and analyst activity into six metric areas: platform-wide security value, threat prioritization, threat detection, digital risk protection, account and credential monitoring, and Recorded Future AI and Insikt Group research usage. It is available now to all Recorded Future customers, who are advised to configure Priority Intelligence Requirements in Settings so reporting maps to their intelligence program. The vendor cites its 2025 ROI Report across nearly 300 customers reporting 351.3% annual ROI and says customers aligning alerting to PIRs identified new threats 65% faster.

Recorded Future·Aug 24, 00:00 UTC · 23d agoTools

Oracle September 2026 Critical Security Patch Update addresses 672 CVEs

Oracle's September 2026 CSPU fixes 672 CVEs across 673 patches, including 104 critical updates, with E-Business Suite receiving the most patches (159).

Oracle released its September 2026 Critical Security Patch Update fixing 672 unique CVEs via 673 security updates across 17 product families, with 104 patches (15.5%) rated critical and 503 rated high. Oracle E-Business Suite received the most patches at 159 (23.6%), followed by Fusion Middleware at 153, of which 78 are remotely exploitable without authentication. The CSPU is a monthly release cycle Oracle introduced in May 2026 between larger quarterly CPUs. Tenable will publish plugins to identify affected systems.

Tenable Blog·Sep 15, 21:00 UTC · 1d agoVulnerability

MasterControl Seventeen Every Time

Governed enterprise analytics study shows deterministic policy execution matched 110/110 answer-and-evidence contracts while runtime agent planning matched none.

The paper studies a governed approach where a language model interprets the question while deterministic policy selects and runs a pre-approved analytical program returning results and evidence. Across 440 runs, three 8B models generated SQL and selected tools at runtime, while Qwen3-8B only interpreted intent and policy executed the approved program. None of 330 runtime-planning episodes satisfied the full answer-and-evidence contract, whereas the policy-executed analyzer matched 110 of 110. The authors note this is configuration-specific and expressiveness is preserved via relational operations, aggregation, comparison, windows, ranking, and similarity with replayable results.

Hugging Face daily papers·Sep 1, 20:00 UTC · 15d agoAI research

Oracle Corporation security advisory (AV26-929)

CCCS relays Oracle's September 2026 Critical Patch Update fixing vulnerabilities across WebLogic, Database, E-Business Suite, PeopleSoft, Siebel, and dozens more products.

The Canadian Centre for Cyber Security (AV26-929) relays Oracle's September 2026 Critical Security Patch Update, which addresses vulnerabilities in dozens of product families as of September 15, 2026. Affected products include Oracle WebLogic Server, Database Server, E-Business Suite, Fusion Middleware, PeopleSoft Enterprise, Siebel Applications, GraalVM, VirtualBox, Coherence, and numerous banking and communications suites. The bulletin lists no CVE identifiers and encourages administrators to review Oracle's advisory and apply patches.

Canadian Centre for Cyber Security·19:29 UTC · 3h agoAdvisory 3 sources

Toolkit Hidden Inside Oracle Database Evades Endpoint Tools

Infosecurity Magazine·Aug 6, 15:30 UTC · Aug 6, 2026Vulnerability

The Frontier AEO Tracker: What Astra Chooses (and every other frontier model, and what you can do about it)

Latent Space launches an AEO tracker scoring 7 frontier models' product recommendations across 161 categories, revealing generational bias flips.

Latent Space built a tracker measuring Answer Engine Optimization by running 6 prompt variations across 7 frontier models with search enabled over 161 product categories, scoring first choices, alternatives, mentions, and anti-recommendations. It found 28 categories with a universally dominant primary choice and observed soft biases, such as models favoring their own lab's coding agents. Analysis of Anthropic's Sol→Astra and Opus→Fable generations showed newer models consulting fewer sources and being less likely to change answers when questions are paraphrased.

Latent Space·Sep 7, 21:32 UTC · 9d agoAI research

Now everyone can put data to work

OpenAI launched a Data agent in ChatGPT Work that connects to enterprise warehouses and builds shareable analysis dashboards without SQL.

OpenAI introduced a Data agent in ChatGPT Work that connects to approved sources including Snowflake, BigQuery, Databricks, Redshift, ClickHouse, MongoDB, and Datadog, plus files from Google Drive and SharePoint. It investigates metric changes, builds interactive dashboards, and integrates with BI tools such as Power BI, Tableau, Omni, Sigma, and ThoughtSpot using semantic layers from dbt, Databricks Genie Ontology, and Snowflake Horizon. Queries enforce the connected account's existing table, row, and column permissions, with administrators controlling access via Workspace settings. OpenAI says nearly all of its product team and over two-thirds of its GTM organization use it internally, and NTT Data, Thermo Fisher, and ServicePiston are Alpha customers.

OpenAI News·Sep 10, 15:00 UTC · 6d agoAI industry

Benchmark Radar: A Living Database and Search Engine for AI Benchmarks and Evaluation

Benchmark Radar provides a living searchable database of 1,283 AI benchmark records and 12,916 score observations drawn from 37 daily discovery sources.

Benchmark Radar combines daily discovery of benchmark papers, repositories, datasets, and releases from 13 direct connectors and 24 first-party feeds into a searchable catalog with model card mentions and score histories. The catalog contains 1,283 source records drawn from 4 benchmark catalogs plus 12,916 numeric observations on 790 records. The release includes a web dashboard with leaderboard, Pareto frontier of score versus usage, saturation and trend views, daily feeds, a CLI, and reproducible analysis. The paper audits the full catalog and examines benchmark saturation and limits of score comparisons.

Hugging Face daily papers·Sep 9, 20:00 UTC · 7d agoAI research

August 2026 CVE Landscape

Insikt Group catalogs 73 high-impact August 2026 CVEs (43 Very Critical), including PaperCut, Zimbra, and Metabase flaws actively exploited or weaponized.

Recorded Future's Insikt Group identified 73 high-impact vulnerabilities in August 2026, 43 rated Very Critical, spanning 45 vendors with Microsoft accounting for roughly 11%. 31 vulnerabilities surfaced via CISA's KEV catalog, with others validated via open sources, vendor telemetry, and honeypot data. New Nuclei detection templates were released for CVE-2025-62593 (Ray), CVE-2026-72898 (Metabase), and CVE-2026-9198 (IBM Langflow). The report also highlights two AI-assisted operations: UAT-10147 exploited Zimbra, AjaxPro, Nacos, and Telerik servers before using DeepAudit and PentestGPT post-compromise, while a separate Chinese-speaking actor weaponized Hermes Agent and DeepSeek in a failed attempt.

Recorded Future·Sep 8, 00:00 UTC · 8d agoVulnerability in the wildCVE-2025-62593CVE-2026-72898CVE-2026-9198+4 CVEs1

18 ways to check whether data can be trusted for AI

ETSI published TR 104 180 defining 18 data quality metrics, including fairness and privacy, to assess whether datasets are fit for AI.

ETSI's technical report TR 104 180 defines 18 metrics across four groups - intrinsic quality, usability and lineage, fairness, and privacy - each with calculation formulas, plus an open-source tool that scores datasets. Testing on an aircraft engine sensor dataset and a US census dataset revealed a roughly threefold gender gap in high earners (about 31% of men versus 11% of women) and two privacy failures: re-identification via age, race, sex, and country, and sensitive fields stored in plaintext. The working group included Sejong University, EGM, TTA, Daejeon University, and CNIT.

Help Net Security·Sep 7, 00:00 UTC · 9d agoAI policy

Cybersecurity jobs available right now: January 27, 2026

Help Net Security·Aug 6, 12:23 UTC · Aug 6, 2026Vulnerability

Evidence-Grounded Retrieval for Investigation Hunt Lead Generation from CTI Reports

AHLERT generates environment-aware threat hunting leads from CTI reports using ATT&CK-seeded knowledge graph retrieval, roughly doubling F1 over flat-RAG baselines.

The paper introduces AHLERT, a system that converts Cyber Threat Intelligence reports into structured, investigable hunt leads via hybrid dense retrieval with multi-hop traversal over an MITRE ATT&CK-seeded knowledge graph and ontology-grounded RAG constrained to the defender's assets. It is LLM-agnostic and evaluated on public CTI reports for well-known APTs across proprietary and open-weight models. Hybrid evidence retrieval with ontology grounding raises mean F1 from 0.44 to 0.85, and AHLERT attains the highest effectiveness score (~86.95%) versus off-the-shelf LLMs.

arXiv cs.CR·Sep 8, 14:21 UTC · 8d agoResearch

Risky Bulletin: Slovakia finds Russian backdoor in traffic speed cameras

Slovakia's NBU found an SMS-triggered backdoor in Russian-made NERO R-ONE traffic cameras, pausing a 279-unit deployment.

Slovakia's national security service NBU issued an alert against NERO R-ONE high-speed traffic cameras after finding a backdoor that grants shell and network access via SMS from hardcoded Russian phone numbers. The cameras are a rebranded version of the Russian CORDON PRO.M model by St. Petersburg firm Semicon, purchased via a Cyprus shell company under a €30 million EU-funded project. The report also found SecureBoot disabled, vulnerable web management, and unauthenticated live streams; the Interior Ministry paused deployment of 279 cameras pending independent assessment.

Risky Business News·Aug 19, 04:52 UTC · 28d agoThreat actor in the wild1

Introducing AI Assistant for Akamai Web Security Analytics

Akamai launched an AI Assistant for Web Security Analytics, giving SOC and AppSec teams natural-language event investigation and guided response actions.

Akamai introduced an AI Assistant integrated with its Web Security Analytics offering, designed to let SOC and AppSec teams investigate security events faster. The assistant supports natural-language queries and guided action recommendations for analysts. The announcement is a vendor product launch with no incident details.

Akamai Blog·Sep 10, 13:16 UTC · 6d agoTools

AI slops from Eve

oss-security moderator Solar Designer approved three AI-generated vulnerability reports from automated security researcher Eve, sparking debate over AI slop on the list.

oss-security moderator Solar Designer approved three posts submitted by Eve, described as an 'automated security researcher', noting they lacked Date headers and arrived on the list server on September 9. He expressed uncertainty about their value but suggested they may have historical significance as early examples of AI-generated security reports at the dawn of AI security research. The post is meta-commentary on AI-generated content reaching a vulnerability disclosure mailing list rather than a specific vulnerability disclosure itself.

oss-security·updated Sep 13, 15:08 UTC · 3d ago·first Sep 10, 01:37 UTC · 6d agoIndustry 12 sources

Citrix adds AI-powered browser activity analysis to SecurAccess

Citrix launched Session Insights for SecurAccess with Chrome Enterprise, using AI to record and analyze browser activity from users and autonomous agents.

Citrix Session Insights adds automatic session recording and AI-powered risk detection for browser activity by human users and autonomous AI agents within Citrix SecurAccess with Chrome Enterprise. The capability creates visual forensic records, highlights risky behavior for faster investigations, and recommends policy adjustments or changes to agent authority levels. It is designed to support audits and governance as enterprise AI agent workflows expand.

Help Net Security·10:14 UTC · 12h agoTools

DataGrout helps enterprises control AI usage, governance and LLM costs

SelectHub launched DataGrout, an LLM cost and governance platform combining dynamic context pruning, symbolic inference and MCP gating, claiming about 60% token reduction.

SelectHub launched DataGrout, an LLM inference optimization and AI governance platform combining dynamic context pruning, a symbolic inference layer, and an MCP gateway with per-call token and cost monitoring. Early tests claim roughly 60% token reduction on data-intensive ERP and CRM integration tasks without accuracy loss. The platform connects via its Conduit SDK, MCP or JSON-RPC, offers its own MCP servers for SaaS apps such as Salesforce, SAP and ServiceNow, and supports bring-your-own-key LLM access or gateways like Amazon Bedrock and Kong.

Help Net Security·Aug 13, 00:00 UTC · Aug 13, 2026AI tools & infra1

What researchers learned about building an LLM security workflow

Oslo and FFI researchers show structured agentic workflows lift LLM alert-triage accuracy from 0% to about 93% on malicious cases.

Researchers at the University of Oslo and the Norwegian Defence Research Establishment tested GPT-5-mini, Claude 3 Haiku, Qwen3:30B, and Gemma 3:27B on alerts from the AIT Log Data Set V1.1; given only alert descriptions and log summaries, all four models correctly flagged zero percent of true-positive cases involving reconnaissance, brute-force logins, and initial access. Wrapping the same models in a workflow with constrained SQL queries over Suricata logs, an evidence summarizer, and a verdict stage with revision loops raised malicious-case accuracy to an average of 93 percent, with GPT-5-mini identifying every malicious case across 100 runs. The authors flag it as a proof-of-concept on one synthetic scenario and note models skewed conservative on benign alerts, with GPT-5-mini marking every benign case uncertain.

Help Net Security·Aug 24, 04:21 UTC · 23d agoAI research1

AI Is Ending the Era of Hidden Vulnerabilities — Are Vendors Ready?

Dark Reading argues AI-assisted bug discovery is flooding vendors with vulnerability reports, straining disclosure processes and secure-by-design commitments.

The Dark Reading analysis describes a surge of bug reports driven by AI-powered discovery, exposing bottlenecks in vendor triage and disclosure pipelines. It argues this volume is revealing secure-by-design failures and questions whether vendors can keep pace with the rising tide of findings.

Dark Reading·Sep 4, 13:00 UTC · 12d agoIndustry

Release Notes: Faster TI Investigations, Fresh Threat Research, and 650+ Threat Coverage Updates

ANY.RUN August release adds TI Lookup connections view, 81 behavior signatures, 16 YARA rules, 559 Suricata rules, and three new threat intelligence reports.

ANY.RUN released August product updates expanding its Threat Intelligence Lookup with a Connections block for pivoting between related observables (domains, IPs, URLs), JSON export for retrohunting and SIEM/NDR integration, and hidden whitelisted data by default. Detection coverage grew with 81 new behavior signatures, 16 YARA rules, and 559 Suricata rules covering malware execution, phishing, and C2 traffic. Three new Threat Intelligence Reports cover a US-focused RMM phishing campaign across 46 countries, the Mirage2FA phishing-as-a-service targeting Microsoft 365 (1,249 sandbox sessions, 9,332 potential compromise events), and a threat brief on OVERLORD RAT, CRPX0, and TRIBACK loader.

ANY.RUN·Sep 3, 09:11 UTC · 13d agoTools1

Towards Scalable and Cost-Efficient Vulnerability Detection: A Study on Automatic Query Generation

A study finds LLM-synthesized CodeQL queries improve average F1-score by 82% over baseline queries, offering scalable vulnerability detection versus direct LLM scanning.

Researchers conducted an empirical study evaluating whether LLMs can synthesize executable CodeQL queries from National Vulnerability Database vulnerability data. LLM-generated queries significantly enhanced baseline CodeQL suites, yielding an 82% improvement in average F1-score across a diverse set of real-world vulnerabilities. A cost-benefit analysis shows direct LLM-based scanning of entire repositories is often computationally and financially prohibitive, while LLM query synthesis offers a scalable and cost-effective alternative for large-scale vulnerability detection.

arXiv cs.CR·Sep 9, 16:31 UTC · 7d agoResearch1

An Empirical Analysis of ReDoS Vulnerabilities and ReDoS Detection Tools

Study of NVD data finds ReDoS vulnerabilities growing more prevalent and more likely to be exploited, while five detection tools disagree substantially.

The study compares five publicly available ReDoS detection tools and one regex correction tool across three datasets. An empirical analysis of all ReDoS vulnerabilities reported to the NVD finds they are becoming more prevalent and are much more likely to be exploited than non-ReDoS weaknesses. The detection tools exhibited substantial disagreement on whether a given regex is vulnerable.

arXiv cs.CR·Sep 9, 15:09 UTC · 7d agoResearch

Kiteworks expands runtime data governance with Bonfy.AI acquisition

Kiteworks acquired Bonfy.AI to add runtime, context-aware classification and enforcement of data exchanges by people, machines, and AI agents.

Kiteworks acquired Bonfy.AI to extend its Data Control Plane with inline, runtime data governance at the moment data is exchanged via email, file sharing, APIs, and AI agents. Bonfy.AI's technology evaluates sender, recipient, counterparty, channel, and business purpose to apply policy before a send completes, aiming to reduce false positives versus pattern-matching prevention tools. This is Kiteworks' eighth acquisition in under five years, with compliance framing around provable control for CMMC 2.0, HIPAA, and GDPR.

Help Net Security·updated Sep 11, 10:56 UTC · 5d ago·first Sep 11, 08:04 UTC · 5d agoIndustry 2 sources1

Autonomous Research for Open-Ended Problems: A Case Study on Telecom Ticket Retrieval

Case study shows autonomous LLM research reaches 90% of SOTA on telecom ticket retrieval in 10 weeks versus 10 months human work.

The paper explores adapting autonomous research to open-ended, industry-grade ML problems through a telecom ticket retrieval case study with commercial and open-source agents. Autonomous research reached 90% of state-of-the-art performance (0.34 vs. 0.38 Recall@1) in 10 weeks versus 10 months of human work, at up to $200 per Cursor campaign. The authors find agents excel at narrow hyperparameter optimization but lack human-like intuition, recommending human-agent collaboration.

arXiv cs.AI / cs.LG / cs.CL·Sep 11, 17:09 UTC · 5d agoAI research

Reference-Based Bias Detection in LLMs via Relative Representations of Hidden States

Researchers propose auditing LLM bias via relative hidden-state representations, detecting bias increases with 3-50x less compute than output-level benchmarks.

The paper introduces a reference-based bias auditing method that compares hidden-state representations across model variants, such as before and after fine-tuning, by encoding sentences relative to a fixed anchor set. The resulting Representational Bias Shift (Delta-B) correlates with output-level bias change in 15 of 18 tested settings, reaching |r| = 0.84 under full fine-tuning across WildGuardMix, DecodingTrust, and ToxiGen benchmarks. Thresholding Delta-B detects checkpoints whose bias increased with ROC AUC between 0.65 and 0.99 and beats a SEAT-based baseline, while auditing a model in about three minutes with 3-50x less compute.

Hugging Face daily papers·Sep 8, 20:00 UTC · 8d agoAI research1

E2A-Bench: Benchmarking Evidence-to-Action Reliability in Financial Chart Reasoning

E2A-Bench, a 969-query financial chart reasoning benchmark, finds VLMs fail evidence-to-action consistency, with fine-tuning amplifying BUY:SELL bias 4-6x.

E2A-Bench is a 969-query benchmark built from 323 HS300 constituents across three input modalities with deterministic OHLCV-derived evidence anchors, evaluating grounding, reasoning-action consistency, evidence-confidence calibration, and directional coverage via UCR, RCI, ECI, and NDR metrics. Testing 20 VLMs showed the lowest-hallucination model ranked near the bottom on coverage with only 6.4% directional coverage, and oracle-aided verification reduced unsupported claims but could collapse coverage. Financial fine-tuning amplified the BUY:SELL ratio by factors of 4.21 to 4.68 across base-fine-tuned pairs.

Hugging Face daily papers·Sep 12, 20:00 UTC · 4d agoAI research

Generative Marketing Mix Modeling: A Causal Inference Framework Linking GEO and GEM to Business Impact

Paper proposes Generative Marketing Mix Modeling to causally estimate Generative Engine Optimization and Marketing effects on business outcomes.

The authors develop GMMM, a causal inference framework for measuring how often users see and notice a firm's name in generated answers, which standard marketing data ignore. For GEO it combines repeated generated answers with question counts, shares of generative-system usage and notice probabilities; for GEM it uses sponsored placement records with notice probabilities. The framework compares expected business responses under alternative treatment sequences, establishes identification conditions, and is evaluated on simulated product-recommendation answers in English and Japanese.

arXiv cs.AI / cs.LG / cs.CL·Sep 10, 17:57 UTC · 6d agoAI research

New insights from Google’s AI & Economy ATLAS

Google launches an interactive AI & Economy ATLAS experience; new research shows nearly half of surveyed scientists use AI daily.

Google introduced new interactive, open-access data visualizations for its AI & Economy ATLAS project tracking global AI adoption patterns. Research from Google, Google DeepMind, and MIT FutureTech analyzed 2,600 specialized AI models and surveyed over 600 U.S. and U.K. scientists, finding nearly half use AI daily and report saving almost seven hours per week. The study also found validation bottlenecks and a growing backlog of untested hypotheses limiting research productivity gains.

Google · AI·Sep 15, 13:00 UTC · 1d agoAI industry

Context Engineering Inside the Harness: 4 Mechanisms That Beat Context Overflow and Goal Loss on Long-Horizon Tasks

Survey of four harness mechanisms—context budgeting, compaction, todo-state, and memory—that keep long-horizon LLM agents on task across 200+ tool calls.

The article details how agent harnesses, not larger context windows, solve context overflow and goal loss on long-horizon tasks, citing Chroma's Context Rot report showing 18 LLMs (GPT-4.1, Claude 4, Gemini 2.5, Qwen3) degrade on long inputs. Concrete implementations include LangChain Deep Agents offloading tool responses over 20,000 tokens to the filesystem and truncating old tool calls at 85% window usage, and Claude Code capping auto memory at 25KB while re-reading the 5 most recently modified files after compaction. OpenAI's Responses API now offers server-side compaction via context_management with a standalone /responses/compact endpoint, which Codex uses for long-running coding tasks. Manus reports a roughly 100:1 input-to-output token ratio per ~50-tool-call task, motivating todo.md state recitation to prevent goal drift.

MarkTechPost·Sep 13, 05:56 UTC · 3d agoAI research1

Product showcase: AI Paper Trail shows the privacy cost of talking to AI

Proton launched AI Paper Trail, a free tool that analyzes ChatGPT or Claude exports and reports what personal data can be inferred from AI conversations.

Proton released AI Paper Trail, a free web tool that analyzes the 200 most recent prompts from exported ChatGPT or Claude conversation histories and generates a privacy report with an AI Exposure Score, inferred personal data categories, and an estimated advertising value. In a hands-on test it identified 47 data points, returned a 58/100 exposure score, estimated $185 in advertising value, and flagged five red flags spanning location, interests, finances, and relationships. Proton states that uploaded data is deleted after analysis and is not stored on its Lumo servers.

Help Net Security·Aug 24, 00:00 UTC · 23d agoAI industry

What the 3M ChatGPT case reveals about AI governance

3M litigation shows ChatGPT prompts can become discoverable evidence, forcing enterprises to govern AI conversation records.

In the Watson Grinding explosion litigation, an engineering expert retained by 3M had used ChatGPT, and a surfaced prompt asked the system to 'show how 3M is 0% at fault'; after an off-record deposition demand, more than 350 pages of previously unproduced ChatGPT material were provided. The author argues AI interaction histories are becoming part of decision records and discovery material, a trend the American Bar Association has already examined. Enterprises are urged to manage retention, ownership, sharing, and deletion of AI conversation logs across tools like ChatGPT, Copilot, Claude, and Gemini.

CSO Online·Sep 14, 09:00 UTC · 2d agoPolicy & legal

An Empirical Security Analysis of Open-Source Software Used in Onboard Satellite Systems

Study of 126 onboard satellite OSS repositories finds 2,827 security findings, 72% medium severity or higher, dominated by memory safety and code quality weaknesses.

Researchers performed an empirical security analysis of 126 public repositories of open-source software used in onboard satellite systems using SBOM generation, software composition analysis, static application security testing, infrastructure-as-code analysis, and secret scanning. After cleaning and deduplication the pipeline produced 2,827 findings, with medium-severity findings accounting for 49% and 72% classified medium or higher. A CWE-based taxonomy mapped all findings to eight weakness families, with Memory Safety and Code Quality dominating, followed by Input Validation and Injection. Project-developed code accounted for 81.4% of findings, though external dependency code remained relevant; findings do not establish mission-specific exploitability.

arXiv cs.CR·Sep 14, 11:54 UTC · 2d agoResearch1

Shadow AI in Financial Services | Risk & Governance

Huntress warns financial services firms that unsanctioned 'Shadow AI' tool use creates data leakage and compliance risks faster than governance controls can keep pace.

Huntress argues Shadow AI — employee use of unapproved AI tools such as ChatGPT and Microsoft Copilot — is spreading across financial services faster than visibility and controls. Uploading regulated customer data into public generative models risks breaches of client confidentiality, data protection rules, and market conduct obligations. The piece recommends secure web gateways, DNS filtering, DLP, application allowlisting, and corporate SSO/MFA for approved tools rather than outright bans, which can push usage onto personal devices.

Huntress·Sep 3, 13:00 UTC · 13d agoIndustry

Intelligence-Driven SOC: Modernizing Threat Monitoring and Detection Engineering for Ultimate MTTR Reduction

ANY.RUN urges SOC teams and MSSPs to adopt intelligence-driven threat monitoring to reduce mean time to respond.

ANY.RUN published a vendor blog post arguing that threat monitoring is the connective tissue of modern security operations and that SOC teams and MSSPs must move from simple log collection to a proactive, intelligence-driven framework. The piece promotes ANY.RUN's Threat Intelligence offering as the solution for detection engineering and MTTR reduction. It is promotional content rather than a threat disclosure or research finding.

ANY.RUN·Aug 12, 07:58 UTC · Aug 12, 2026Industry