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ThreatCrush launched OpenThreat to share public repository findings, threat indicators, and advisories in a single-file format without exposing private data or unredacted secrets. LogicSRC co-developed the specification to serve these descriptors at a standard web path. Nichedb.dev introduced the first directory for reading and distributing these descriptors across RSS, JSON, and APIs.
A curated, auto-updated catalog of PHP static-analysis, code-quality, linting, metrics, refactoring, and security tools.
Boost wraps the commands your agents already run, turning noisy logs into compact, structured context.
Artificial intelligence has delivered a fatal blow to security through obscurity by enabling the rapid discovery of deeply buried vulnerabilities in aging code and proprietary systems. Security experts warn that this rapid discovery creates immense pressure on defenders by exposing critical operational technologies. Defenders must respond by shifting away from endless patching toward proactive process improvements and systemic prevention.
Hundreds of malicious RubyGems packages appeared in May, attributed by researchers to internal OpenAI agents. The packages attempted API-key theft through an unreported RubyGems server flaw and used RubyDoc.info builds for arbitrary code execution. RubyGems halted registrations for four days, removed more than 500 packages, and later saw further uploads in May and June.
Joshua Saxes attempts to synthesize different perspectives from AI safety researchers, cybersecurity experts, and policymakers on the OpenAI/Huggingface hack. Alignment and security go hand in hand to provide traditional and AI-native controls, with policy also acting as a backstop. Security's job is to provide a deterministic framework to reduce the blast radius of what an agent can do, whereas alignment's job is to constrain what an agent wants to do.
Threat actors target Microsoft enterprise users with passkey lures to bypass multi-factor authentication.
ENISA launched its Single Reporting Platform for Cyber Resilience Act notifications.
The Open Source Security podcast notes that the European Union Cyber Resilience Act requires manufacturers to report actively exploited vulnerabilities to ENISA.
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True productivity benefits materialize when AI runs closer to where work happens. Agentic PCs featuring AMD processors help employees work alongside AI agents while lowering inference costs, optimizing token usage, and keeping enterprise data protected. AMD “Zen 5” x86 CPUs [4] ARE BUILT FOR AGENTIC WORK, giving agents the compute to execute tools, process files, run code, and tackle tasks concurrently. Run larger AI workloads locally with AMD Ryzen™ AI Max PRO processors offering UP TO 192GB OF UNIFIED MEMORY and deliver up to 6x faster task completion [5] compared to a four-year-old laptop.
Apple has released its annual software wave across iOS 27, iPadOS 27, macOS 27, watchOS 27, visionOS 27, and tvOS 27. For IT teams, this officially starts the testing and deployment window, with device eligibility, Apple Intelligence and Siri AI availability, application compatibility, and managed-device behavior worth validating before broad rollout.
Google Workspace now has a built-in setup workflow that can discover Microsoft users and migrate email, OneDrive files, calendars, contacts, and tasks. The catch: automated migrations currently support only 10 Microsoft users, so it is useful for small environments but does not replace enterprise migration tooling yet.
The Salvation Army is using an AI employee-support assistant inside Microsoft Teams to front multiple internal systems and help more than 10,000 personnel find answers without knowing which platform owns the information. The interesting lesson for IT is less about the chatbot and more about the underlying integration, ownership, guardrails, and service-design work required to make an AI support layer genuinely useful.
As AI agents gain the ability to update records, issue refunds, communicate with customers, and operate across enterprise systems, organizations need clearer rules around what each agent can access and do. The argument: borrow useful concepts from workforce management—onboarding, scoped authority, supervision, and offboarding—but keep accountability with the humans granting that access.
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For most tools, that's a risk. Leebry [11] is a Work AI platform built on RBAC, seeing what the person asking is allowed to see. It resolves 30% of tickets, keeps a full audit trail, and loops in a person before anything risky happens.
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RavenDB has made its Quill software available to let AI agents query live enterprise SQL databases without data migration or a custom AI stack. Quill creates a synchronized context layer using change data capture that runs outside production and includes search, retrieval, and governance controls. Customers can launch production-ready agents in weeks for PostgreSQL, SQL Server, and MySQL deployments in the cloud or on-premises.
Devicie is expanding its Intune automation to manage updates for more than 1,500 Windows and macOS applications, as well as customer line-of-business apps. Importantly, it operates inside the existing Microsoft stack and leaves deployment timing and update-ring control in Intune rather than introducing another endpoint-management console.
APFS Time Machine snapshots preserve storage blocks for rollback, which causes used space to grow as files change, requiring careful management. The process covers creating snapshots with tmutil commands, limiting their size by isolating large files on a separate APFS volume, deleting old snapshots in Disk Utility while keeping the latest, and rolling back the Data volume from Recovery.
Databricks is changing how workspace access is granted, with new users and service principals now requiring explicit entitlements instead of automatically inheriting access from the users system group. The change became mandatory on September 14, and organizations using Terraform, SCIM, or custom provisioning scripts may need to update their automation.
Moveworks will now clearly tell users when an Agent Studio tool call fails or returns no results instead of potentially making an unsuccessful action look successful.
Windows 11 has a lesser-known option that lets users kill frozen applications directly from the taskbar, a useful feature for IT teams looking to reduce a few basic support calls.
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Stop using vibes to analyze your webinar performance. Based on data from 900+ marketers (and every webinar hosted on Wistia in 2025), this (ungated) industry benchmark [5] provides the objective data you need for fact-driven analytics. That means: * Average live attendance benchmark [6] so you know what counts as a strong number vs. one that needs fixing. * How long webinar content keeps generating plays after the live event (a third are still getting views three months out). * How top marketers repurpose recordings into blog posts, social clips, and email (nearly 90% do this).
Heavy short-form video use may impair attention and memory. A meta-analysis of about 70 studies found stronger links to cognitive problems than mental health issues, with compulsive use predicting worse outcomes. Other research links more phone time to poorer working memory and uncontrolled short-form use to weaker episodic memory. Memory and imagination share neural circuitry, so these effects could also make it harder to envision and plan for the future.
Mainstream culture isn't disappearing, but brands can no longer rely on celebrities or broad media to create cultural relevance. YouTube creators and memes are now seen as widely known as Hollywood stars. Cultural momentum often starts in niche online communities before spreading through sharing and creating. YouTube says the platform can turn that momentum into broader cultural validation, with 65% of respondents saying something feels more real or legitimate when they see it there.
66% of people under 30 already react negatively when a business visibly uses AI in its ads, a reversal for the generation assumed to be AI's biggest fans. That backlash is turning restraint itself into a content opportunity, since publicly declaring what a brand won't automate can work as marketing in its own right, not just a compliance footnote. Aerie's pledge to skip AI-generated models became its most-liked Instagram post ever, with a 23% sales bump the same quarter.
Brands still rely on growth tactics built for a simpler, more stable world. This piece argues for a “both/and” approach. Keep evidence-based marketing principles while accounting for trust, context, and long-term consequences. Set rules against manipulative tactics. Use brand touchpoints to explain real-world decisions. Dedicate 10% of activity to retention, employee pride, and referrals.
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Your organic AI visibility data already shows which conversations your brand is missing. That's a paid targeting list. On September 23, Evertune [12] breaks down who's buying ads in AI conversations, where the whitespace still sits, and why GEO-informed campaigns outperform
High-growth marketing teams are changing how they hire and allocate resources as growth demands rise. On September 17, Krithika Shankarraman of Thrive Capital and Christy Roach of AirOps will share how they secure resources, measure newer channels like AI Search, and get more leverage from smaller teams as growth accelerates.
This session, on September 22, explores how brands can build a meaningful presence on Reddit. It covers subreddit culture, moderator relationships, and community engagement. Rachel Duffy shares how The Times built its Reddit strategy and drove visibility and trust. The session also looks at Reddit's role as search and LLMs reshape audience behavior.
Retail media only adds value when ads drive profitable incremental sales. For advertisers, high ROAS can be misleading if shoppers would have purchased anyway. Retailers can also hurt margins if ads displace organic conversions or degrade the shopping experience. Both sides should measure whether advertising changes outcomes.
95% of enterprise GenAI projects show zero return. The biggest gap is in areas with strong off-the-shelf options, such as rank tracking, citation monitoring, and content scoring. Vendors serving thousands of customers have already solved these integration challenges. Custom workflows are harder to outsource, but buying proven expertise can still beat learning through trial and error.
Broadcasters and advertisers now plan for TV and mobile as one viewing environment.
A 5-step process to quickly organize tasks, decisions, and ideas.
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Tired of guessing how customers actually talk about your product? Unwrap [5]gives product marketers real-time visibility into customer conversations across every channel. A PMM leader at Procore used Unwrap to test positioning against real customer language and build a go-to-market plan in 48 hours instead of two weeks. With Unwrap [5], you can: * Test messaging against real customer feedback * Ask questions and get AI-powered insights grounded in real feedback * Get real-time trend alerts and custom reports * Walk into GTM meetings knowing what customers care about Trusted by DoorDash, Oura, lululemon, Stripe, Microsoft, and more.
AI makes building cheaper, not product judgment easier. Strategy, customer understanding, and independent thinking matter more than ever.
Anthropic extended its lead in business AI adoption, though overall growth slowed and spending by top users dropped nearly 10% in August. Falling token prices and a shift to cheaper models are cutting costs, while open-source and Chinese models account for little corporate usage.
Don't automate away productive friction. Use AI for routine work, but keep humans in the conversations where judgment and alignment happen.
AI makes building cheap, but judgment still defines great products. The PM's job is to choose what matters and tell a story users understand.
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Turn vague customer feedback into clear, actionable insights. Unwrap [12] combines AI-powered semantic analysis with autonomous surveys to uncover exactly what customers mean. Launch targeted surveys, ask real-time AI follow-ups, and automatically trigger surveys based on feedback from any channel.
Catch bad product architecture before you build it. Validate early, and let the structure of the problem shape the solution.
Don't kill PLG to grow enterprise. Let product adoption create enterprise demand, then use sales when customers actually need it.
Tech's biggest winners are increasingly built in private markets. Traditional venture allocations may be too small, but access to the best funds matters more than broad exposure.
Meaning comes from commitment, not endless options. Invest deeply in people, purpose, and work that matters beyond yourself.
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Unwrap [19] gives product marketers visibility into exactly how the market and customers are talking, so messaging gets built on real feedback instead of guesswork. Start a no-risk free trial today [20]!