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The MITRE ATT&CK framework can help SOC teams understand behaviors as opposed to isolated data points from alerts. SOC teams can also utilize SIEM tools that map detection rules to ATT&CK tactics to understand their detection coverage. This enables SOC teams to shift from chasing alerts to observing narratives.
Fintech data broker Marquis has pinned a major 2025 ransomware breach on firewall supplier SonicWall, claiming a SonicWall cloud backup hack exposed its firewall configurations and credentials. Hackers allegedly used this data to bypass defenses and steal sensitive US banking customer information, including Social Security numbers. Marquis is weighing legal and financial recoupment options, while SonicWall publicly disputes any proven link to broader ransomware campaigns.
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Bots now dominate internet traffic, silently inflating infrastructure costs (>$5 million to unwanted origin hits, in a client's case). Hydrolix classifies humans vs bots in real time and stops abuse
The FBI has seized RAMP, a notorious Russian cybercrime forum used by ransomware groups and initial access brokers.
Wiz's new annual WIN Partner Index is a data-driven benchmark that analyzes adoption patterns across 240+ integrations to identify which cloud security integrations organizations rely on most, which are gaining traction fastest, and where teams see consistent value.
Researchers uncovered 175,000 exposed Ollama AI servers worldwide.
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Marketing moves too fast to get bogged down by spreadsheets, email threads, and approvals. Your team deserves a work management platform built for the way marketers get things done: Asana [4].
Social platforms are moving toward paid add-ons, not full subscriptions. Meta Verified, LinkedIn Premium, and YouTube Premium all gate extra features while keeping core access free. Ads still drive most revenue, so platforms cannot force everyone to pay. Instead, they push optional upgrades for new income and bot control. As AI tools normalize subscriptions, users may accept paying for extras. However, reach still matters most, so social apps stick to hybrid models rather than fully paid access.
A large-scale field study of more than 500 million impressions found AI-generated ads deliver click-through rates comparable to human-made creative when performance variables are controlled. Ads performed best when AI visuals avoided obvious synthetic cues and instead emphasized human elements, particularly clear human faces. AI creative maintained downstream conversion performance while dramatically improving speed and scale of production.
Most activation metrics fail because they track steps or engagement, not whether users reach meaningful value. Signups, onboarding, or session length can look good while users drop off or never convert. True activation happens when users experience early and sustained value. Measuring first value and core value moments shows who is likely to stay. Focus on behaviors that drive long-term subscribers.
Traditional SEO optimized for single queries and single clicks, but AI search turns discovery into a multi-step dialogue driven by follow-up questions. In this environment, content that answers only the first question quickly loses relevance as the model pulls subsequent answers from competitors. The recommendation is to design content around full question sequences, using customer support data and behavioral signals to predict what users ask next. Internal linking should guide that flow so both humans and LLMs see your site as complete across the journey.
This tool scores email copy and shows how to improve it so messages are more engaging and conversion‑focused. It helps you check whether your emails are “boring” and suggests fixes based on the MODULR Method.
The Ads Decoded Podcast connects advertisers with the teams building Google Ads. Hosted by Ginny Marvin, it delivers candid conversations that answer marketers' top questions.
Trust-building advertising strongly drives business growth and brand performance for for-profit campaigns. New research from the IPA Effectiveness Databank shows that 93% of for-profit campaigns that deliver very large trust gains also deliver very large business effects, and top trust-building campaigns are 41% more likely to generate major commercial results than the average. These top campaigns are more than twice as likely to drive large gains in brand quality and loyalty and report +65% more very large business effects overall. Effectiveness increases when trust is a formal objective. The strongest trust-building campaigns typically use more channels at 10.7 versus 9.9, and split budgets 60% brand and 40% activation.
AI content fails upstream, before generation begins. When buyer understanding lives in loose notes or long documents or generic problem lists, the system has nothing stable to reason against. So it averages vague inputs and produces fluent but unfocused output that drifts over time. Better prompts do not fix this. Stronger models only hide it. The real solution is structured context plus clear buyer narratives and defined constraints, so AI has a reference point instead of guessing.
AI startups are redesigning GTM around proof, not promise, with pre-sales teams responsible for demonstrating value through structured pilots and ROI reporting. Buyers increasingly reject vague productivity claims in favor of cost-based savings that justify spend against headcount. With low barriers to product entry, early brand authority is becoming a primary growth lever through founder-led visibility and education. Discovery is shifting toward conversational AI, requiring content built for LLM prompts and neutral explanations rather than traditional SEO tactics.
Zero-click search is weakening site visits as a measurement signal, while organic branded search still signals consumer intent.
Meta delivered strong revenue growth by using AI to drive higher ad impressions and prices across its massive user base.
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SHIP FAST, STAY COMPLIANT, AND KEEP USERS MOVING. Learn how to verify users quietly in the background—so you can protect your product _and_ your conversion rates.
Strong metaphors let executives reason about technical trade-offs in their own language. When they hold up logically, they turn explanations into shared understanding.
As agents become primary users, products must optimize for Agent Experience. Access, context, tools, and orchestration will determine which platforms remain relevant.
Uncertainty drives people to solve problems that do not matter. Real progress comes from focusing on the single task that actually creates value.
AI prototyping enables faster learning by turning behavioral ideas into functional products that teams can test immediately.
Winning AI products are built by teams that prioritize guidance over automation and invest deeply in continuous quality improvement.
Good positioning starts with clear decisions before the work begins. Without them, teams waste time and dilute the outcome.
The best communicators treat intensity as a dial, not a switch, escalating deliberately to drive change without breaking trust.
In today's startup market, the winners are opinionated builders with real agency who understand growth, not resume polish or cool titles.
The strongest PMs optimize for outcomes, not ego.
A public daily work journal turns invisible work into visible impact and makes performance reviews trivial.
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Manual testing on personal devices is TOO SLOW AND TOO LIMITED. It forces teams to CUT RELEASES A WEEK EARLY just to test before submitting them to app stores. And without broad device coverage, issues slip through.
A bug report on the Chromium Issue Tracker has inadvertently leaked the Android desktop interface. The bug report, which was about Chrome Incognito tabs, was accompanied by two screen captures. They show a taller status bar compared to tablets, a Chrome interface that mostly aligns with the current large-screen Android version, and mostly unchanged desktop windowing. The screen captures are available in the article.
Tesla entered into an agreement on January 16 to invest in xAI's Series E funding round. SpaceX also invested $2 billion in xAI. Tesla will end production for its Model S and Model X higher-end vehicles, as they have seen sluggish sales compared with other models. The Model X and S factory space will be used to manufacture Optimus robots.
AlphaGenome is an AI model that can make predictions about thousands of genes. It was trained on a vast wealth of molecular data, allowing it to predict things like whether a mutation will shut off a gene or switch it on at the wrong time. The model is being deployed for use in things like cancer research, but scientists are still wary of its results. AlphaGenome is still just a prediction tool, so scientists still need to go to the lab to verify its output.
LimX Dynamics has released a video showing 18 of its full-sized humanoid robots autonomously performing a coordinated routine. The showcase highlights how teams of robots could be deployed and operate on future manufacturing floors. LimX's robots run on the company's newly introduced COSA system, which allows multiple humanoid robots to function together autonomously. The COSA operating system unifies perception models, learned skills, memory, and basic emotional states for sustained physical interaction in real-world settings. The video is available in the article.
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The cost of code is dropping so fast that teams need to reconsider their tech debt payment plans. Smart teams are deferring payment on human hours today to pay them back with cheaper AI hours tomorrow. Cashing in on those cheap hours requires understanding how to move through the tiers of automation. Luckily, the federal government has already completed a roadmap for autonomous cars. The five levels of driving automation are a helpful guide on what companies should aim for.
AI writing most of the code places a disproportionate emphasis on the human's role of owning outcomes, maintaining quality bars, and ensuring that tests actually validate behavior. The danger is that the AI succeeds so well that developers stop checking their outputs. AI is an amplifier of development practices. Bad processes will result in accumulated debt at an unprecedented speed.
When faced with a problem, strong candidates stay calm, form precise hypotheses, and then systematically test one hypothesis at a time until they zero in on a solution. AI just accelerates this process. Weak candidates blindly try things, hoping something sticks. Their process remains sloppy when using AI. AI doesn't by default make people perform better, it amplifies people's existing patterns.
Amazon announced yesterday that it plans to eliminate about 16,000 corporate jobs in its second round of job cuts since last October. The layoffs are part of an ongoing effort to strengthen the organization by reducing layers, increasing ownership, and removing bureaucracy. 14,000 employees were let go across Amazon's corporate workforce during October's layoffs. Amazon has been cutting costs across its businesses so that it can invest more in AI and the rapid build-out of data centers. It recently closed its Fresh and Go grocery chains after years of experimentation.
It's very possible - compute margins are falling, enterprise deals are stickier, and models can stay relevant longer than the GPT-5 cycle suggests.
Beautiful Mermaid is an open source library for rendering diagrams that is ultrafast, fully themable, and designed for the age of AI.
The summit, hosted by the White House's crypto council, will discuss a path forward for landmark crypto legislation.
Bytedance processes over 50 trillion tokens a day, more than any US tech company.
A June IPO would coincide with both his birthday and a rare alignment of Mercury, Venus, and Jupiter.
People only care about themselves and things that bring efficiency in how they're already living or are strongly motivated towards.