Heimdall is an AWS security scanner that discovers privilege escalation paths by detecting 50+ IAM privesc patterns, analyzing 85+ attack chains with MITRE ATT&CK mapping, and scanning 10 AWS services for cross-service escalation vectors. The tool includes a Terraform engine for shift-left security that identifies IAM attack paths in infrastructure-as-code before deployment, differentiating it from static config scanners like tfsec or checkov. Features include an interactive TUI, one-command dashboard, multi-hop path detection through role chains, and SARIF export for GitHub Security integration.
AWS will end support for AWS SSE-C as an encryption option for S3, following its discovery in ransomware campaigns. SSE-C was a rarely used encryption method for S3 that allowed customers to supply an encryption key for use in S3 API requests. This was useful for ransomware operators because AWS never had access to the key, and it was quieter than alternative methods like KMS. Organizations can use KMS with customer-managed keys (CMK) or client-side encryption to replace the functionality.
Let's Encrypt has made 6-day TLS certificates publicly available through its short-lived certificate profile, well ahead of the 2029 industry mandate that reduces maximum validity to 47 days. Google Trust Services also offers short-lived certificates with configurable validity periods as short as a single day. Organizations already using ACME clients for automation can adopt these shorter validity periods with minimal operational changes, since the increased renewal frequency is handled automatically.
Ingram Micro disclosed that the SafePay ransomware group's July 2025 attack compromised the personal data of 42,521 employees and job applicants, including names, identity document numbers (passports, driver's licenses, and SSNs), and employment evaluations. The attackers claimed to have stolen 3.5 TB of data, and the incident forced system shutdowns that prevented MSPs from managing customer services and sent some regional staff home. Customers criticized the distributor's poor communication during the incident, with some unable to locate attack updates without external assistance.
A malicious Chrome extension called NexShield impersonates uBlock Origin Lite and crashes the browser to display fake security warnings that trick users into running PowerShell commands, deploying the ModeloRAT trojan on corporate systems.
Go has released emergency patches addressing six security flaws, including DoS vectors in archive/zip and net/http, arbitrary code execution via cmd/go's CgoPkgConfig and VCS toolchain handling, and TLS session key leakage issues.
The spreadsheet says the launch is Thursday. The message thread says it slipped. And the brief in your inbox is from three versions ago. Sound familiar?
Analysis of 40,000 major sites shows organic search traffic declined only slightly by 2.5% YoY, with top sites and certain categories even growing. Claims that AI or LLMs are replacing search or drastically reducing clicks are based on flawed surveys, small samples, or anecdotal evidence. Large-scale panel data confirms that Google and other search engines still drive the vast majority of traffic, and AI Overviews affect clicks less often than assumed.
Brands now focus on human connection. Personal branding has moved from performative visibility to unique voices and audience collaboration on owned platforms. Visual identities are becoming adaptive and sensory. They are embracing tactile textures, playful typography, and experiences that engage both feeling and sight.
LinkedIn actively demotes posts and comments that contain links, making it harder to drive traffic externally. Use implied links by creating engaging content that sparks curiosity so interested users seek out your site on their own. Another approach is placing links in comments without explicitly calling them out and pairing them with compelling, engagement-worthy text to push the comment to the top. A third tactic is having others post or amplify the comment to increase visibility.
Google Ads campaigns can fail even when optimized because poor unit economics make profitable scaling impossible. Strong PPC tactics cannot overcome weak margins or low LTV. Unit economics set limits on CPCs, CPA targets, auction competitiveness, and growth. One ecommerce brand saw ROAS fall from 1,000% to 700% as CPCs rose, and the fix required raising AOV and improving LTV rather than changing campaigns. In another case, a supplements brand scaled spend to £26K per month and acquired 430 subscriptions at a £123 CPA because each customer had a £309 LTV, which made aggressive bidding profitable.
Plaid achieved their best-performing direct buy to date, adding $382k in pipeline, earning 70 leads, and achieving 20.1x ROI. This case study breaks down their strategy, results, and example ads. Read the
Users can upload any video from social, ads, or influencer campaigns and receive instant insights on which visual and audio elements drive conversions. The platform predicts performance, optimizes creative, and scales analysis across thousands of videos. Brands use Aggero to reduce ad waste and improve engagement.
This free webinar, on January 22 at 10 AM PT, will teach attendees how to design MVPs that validate core business assumptions. It will cover how to prove a real person has a pressing problem and will change behavior, and how companies can create value faster than their competitors.
SEO traffic no longer predicts pipeline because AI answers remove clicks while buyer intent remains. Short-head keyword volume grew only 1.2% in the last 12 months and is forecast to fall 0.74% in the next 12 months as demand shifts to long tail queries and AI interfaces. Pipeline can grow far faster than traffic, such as 32% traffic growth paired with 75% signup growth or pipeline growing 2.3x faster while traffic stays flat. SEO now drives brand influence by helping AI systems understand trust and cite a brand, which lifts demos even when site visits fall.
Most B2B leaders believe brand drives demand, yet few can prove its impact because traditional attribution models undervalue how brands actually work. Brands rarely create immediate clicks or conversions. It builds mental availability that later shows up through search, trust, and preference. Measuring incrementality by asking what would have happened without the investment puts brand and demand on equal footing and reveals its true impact on pipeline and efficiency.
Multi-agent systems now let PMs validate ideas, ship features, and acquire customers in minutes without deep domain expertise. [4]Instead of using AI only for coding, you can orchestrate workflows that cut cycle time and free up strategic thinking.
ROI matters at the product level, not the feature level. Products must earn roughly 5–6x their maker-team costs to justify investment, and that simple ratio should anchor strategic conversations with CEOs.
Real progress comes from the hard, human work of shaping clear lanes, assigning ownership, and sustaining good habits over time. Frameworks matter less than disciplined sensemaking, shared accountability, and the willingness to adapt as reality shifts.
Strategy fails when teams skip problem design and rush to solutions measured by usage instead of value. The real moat is collaborative problem framing, which creates a shared understanding that AI cannot replicate.
Late in a career, execution stops being the constraint, and judgment becomes the work. Taste shifts from spotting flaws to restraining power, serving as the only defense against incentives that reward speed over coherence.
Great products are built by small, empowered teams that move fast, focus relentlessly, and learn directly from users. Speed, judgment, and a builder mindset matter far more than process, credentials, or internal theater.
Ideas are cheap; outcomes are scarce. In a crowded, AI-amplified market, traction comes from selling concrete results and reduced risk, not from insisting an idea should speak for itself.
Ensh*ttification isn't inevitable - it happens when incentives shift and trust stops being protected. For Tailscale, keeping personal users happy is not a loss leader, but the engine of enterprise growth.
Over 6 million tech professionals read TLDR including developers, product managers, marketers, designers and executives. Get in front of your target audience with an ad placement just like this one! Learn more [4] about running a test campaign.
OpenAI plans to start testing ads in the US for Free and Go tier users in the coming weeks. Plus, Pro, Business, and Enterprise users will not see ads. The Go tier is a new $8 per month subscription with access to GPT-5.2 Thinking. Ads will not influence the answers that ChatGPT provides and will always be separated and clearly labeled. Conversations will be kept private from advertisers. A screenshot of what the ads will look like is available in the article.
Elon Musk wants OpenAI and Microsoft to pay him damages in the range of $79 billion to $134 billion as he claims OpenAI defrauded him by abandoning its nonprofit roots and partnering with Microsoft. The court filing says Musk is entitled to a chunk of OpenAI's current $500 billion valuation as he donated $38 million in seed money when he helped found the startup in 2015. Musk also plans to seek punitive damages and possibly an injunction. OpenAI claims the lawsuit is baseless and is aimed at harassment.
Sid Sijbrandij, founder of GitLab, got the news that he had cancer on November 18, 2022. He underwent a brutal care regimen that involved surgical removal of his tumorous vertebrae and rounds of radiation and chemotherapy so intense that he required four blood transfusions to stay alive. After his cancer resurfaced in 2024, he decided to go 'founder mode' on his cancer, assembling a team to navigate his care journey. This article details the story of how he took charge of his health.
While the humanoid form factor is likely to stay due to its clear advantages, that doesn't mean that robots will still stay human. Boston Dynamics' Atlas is an interesting look at a very different vision of what a humanoid robot can and should be. Robots don't have to be limited to what evolution resulted in. They can be engineered to have capabilities that far exceed humans.
Over 70% of orgs are using AI agents, but only 11% of agentic use cases made it to prod in 2025. In this webinar [10], Camunda's CTO joins automation experts to cover the proven controls that help AI agents progress. Secure your spot to learn how to move AI agents from
Files represent personal creations, so they should live somewhere users control. File systems allow data to outlive the software used to create it. Other apps are able to open the same files to read or write data, and it's up to the users' choice on what app to use. This is analogous to how the AT protocol (the protocol behind Bluesky and other social apps) works.
This article details how a developer created an image-to-ASCII renderer. The resulting renderer converts 3D models and still images into ASCII. The renderer is interactive, and you can move the 3D models around by dragging. The post is detailed and contains many interactive examples explaining the work.
We're hiring the first engineer on TLDR's new Applied AI team. You'll build production AI agents and design modular, composable Claude Skills to let non-technical teammates create their own AI workflows. Learn more [14].
Agents have improved over the last year due to structures that provide them with automated feedback and allow them to work on longer-horizon tasks. This back pressure allows agents to identify mistakes, and the feedback helps them align on tasks for much longer. Developers should think about how to build back pressure into their workflows. Afterwards, they can loop agents until they have stamped out all of the inconsistencies and issues.
Prediction markets let people wager on basically anything. These sites have recently boomed in popularity and are creeping into the mainstream. They are transforming news into a form of gambling. It is unclear whether these sites are meaningful predictors of anything, but the markets are manipulable.
This post discusses Brex's culture, how it facilitated an aggressive shift towards a culture of AI fluency, and how Brex modernized its tech stack and applied AI agents to streamline its business.