Category: Uncategorized

Docker has introduced a new range of security-focused base images designed for production use, aiming to reduce vulnerabilities and support secure software supply chains across containerised applications.

Docker Hardened Images (DHI) are a curated set of minimal images built from source using a distroless approach. By removing shells, package managers, and other unnecessary components, the images are designed to reduce the attack surface of containerised workloads significantly.

According to Docker, the hardened images reduce the vulnerability footprint by up to 95% compared to traditional base images. Each image is maintained with automated patching and ongoing security updates, aiming for a near-zero number of known CVEs. Critical and high-severity vulnerabilities are patched within seven days, backed by a defined service-level agreement.

The hardened images are designed to be drop-in replacements for popular base images, such as Alpine and Debian. Docker has focused on ensuring compatibility with existing Dockerfiles to minimise disruption to build pipelines. A customisation layer allows teams to add their own certificates, packages, and configuration files on top of the secure base.

DHI images also include signed Software Bill of Materials (SBOMs) and provenance metadata, supporting increased transparency and supply chain visibility. These features may be particularly relevant for teams operating in regulated industries or security-sensitive environments, where additional assurance and traceability are valued.

Docker has announced early integration partners, including Microsoft, GitLab, JFrog, NGINX, Sysdig, Wiz, and Sonatype. These collaborations aim to ensure DHI works seamlessly with popular security and CI/CD tooling.

In internal testing, Docker reports that swapping a standard Node.js image for a hardened variant led to a 98% reduction in the number of installed packages and the elimination of known CVEs. The initial catalogue includes hardened images for common runtimes, including Python, Go, and Java.

DHI is now available via Docker Hub, with access determined by Docker’s subscription tiers. The setup documentation and customisation tools are included as part of the release.

A new open-source AI-powered code editor, Void IDE, was recently released in beta, positioning itself as a privacy-focused and free alternative to popular closed-source AI editors like Cursor and GitHub Copilot. Backed by Y Combinator, Void IDE is a fork of Visual Studio Code. While Microsoft recently announced plans to open Source its GitHub Copilot Chat Extension possibly in a few months, the beta release is available now for the community to fiddle with.

The primary motivation behind Void IDE is to address concerns surrounding the privacy and cost associated with proprietary AI coding tools. Closed-source editors may require sending private code data through their backends, raising privacy issues and leading to ongoing subscription costs. While the backend may often keep only embeddings computed from the code, the original code may sometimes be recoverable. As the authors of the paper Mitigating Privacy Risks in LLM Embeddings from Embedding Inversion explain:

The surge in popularity of embedding vector databases in LLMs has been accompanied by significant concerns about privacy leakage. Embedding vector databases are particularly vulnerable to embedding inversion attacks, where adversaries can exploit the embeddings to reverse-engineer and extract sensitive information from the original text data.

Void IDE aims to provide options for keeping developers in control of their data. Void IDE can leverage various Large Language Models (LLMs), supporting direct integrations with services like Claude, GPT, and Gemini, as well as local model hosting via Ollama. This ensures that AI processing can happen locally or via direct API calls, avoiding a third-party middleman.

Void IDE offers a range of AI-centric features familiar to users of tools like Cursor. These include inline code editing, contextual AI chat, and code generation. The editor also features advanced capabilities like file system awareness for codebase-wide context and the ability to view/edit the underlying prompts sent to the AI.

Being a fork from VS Code, Void IDE is able to let its users migrate their themes, key bindings, and settings.

Developers on Hacker News and Reddit expressed interest, particularly regarding its open-source nature and privacy stance. Discussions include comparisons to other AI coding tools and editors. Some developers expressed skepticism about the proliferation of VS Code forks, with others asking why not use an extension instead. The project is actively developed, with the team encouraging contributions from the community to shape its future roadmap.

Google has released Android 16, now available for supported Pixel devices. The new release introduces a wide range of new APIs and changes, some of which affect existing apps and require developers to update their code. Material 3 Expressive, the new paradigm for Android user interfaces, is not yet included and will roll out later this year.

Android 16 introduces a wealth of new features and changes across nearly all areas of the OS, from accessibility and connectivity to camera support, privacy, core functionality, security, and more. Notable new behaviors include improved notifications, extended support for full screen apps, advanced protection against USB attacks, desktop-style multitasking, and several enhancements to camera and media capabilities.

Adaptive apps are the default on Android 16 for any “large” device, that is, devices with displays larger than 600dp in both dimensions, such as the inner screens of foldables, tablets, and Chromebooks. The option to restrict an app’s resizability via the manifest is no longer available. For developers, this means adopting good practices to avoid stretched UI components, ensuring the camera works correctly in both orientation, and preserving state across window size changes.

Changes needed to support adaptive apps are also essential for desktop-like multitasking, which is enabled when connecting an Android device to an external monitor. In addition, apps displayed on an external monitor may benefit from more advanced behaviors like allowing multiple instances, support data sharing via drag and drop, support configuration changes, and more.

Android 16 introduces an extended notification system supporting progress-centric notifications, which can be used to denote how a process progresses through multiple states and milestones, such as for ridesharing, delivery, and navigation. The system uses points and segments to visually represent progress. These new features lay out the foundation for the upcoming Live Updates capability.

Google has already scheduled a minor Android 16 update for Q3 and a major feature drop in Q4, which will include the release of Material 3 Expressive. Notably, the current release is the only one that will require updates to existing apps to ensure compatibility with Android 16 devices.

Developers should pay close attention to changes such as new JobScheduler quotas that could stop an app when the developer does not expect it; ART changes potentially crashing apps using reflection, JNI, or accessing Android internals; stronger security against intent redirection attacks; the adoption of 16KB page size; new Bluetooth handling affecting device re-pairing, and more.

As mentioned, Android 16 is currently available exclusively on supported Pixel devices. According to Google, support for third-party models will follow soon. In the meantime, developers can test their apps using the Android emulator in Android Studio to ensure compatibility and expected behavior on Android 16.

Snowflake SNOW shares closed at $212.08 on Wednesday, very close to the 52-week high of $214.83, hit on June 4, 2025. SNOW shares have jumped 37.3% year to date (YTD), outperforming the Zacks Internet – Software industry and Zacks Computer and Technology sector gained 12.8% and 1.5%, respectively. 

The upside in Snowflake is driven by strong first-quarter fiscal 2026 results, consistent product innovation and robust customer expansion. Revenues increased 25.7% year over year to $1.04 billion, beating the Zacks consensus mark by 3.74%. Snowflake reported non-GAAP earnings of 24 cents per share, surpassing the consensus estimate of 22 cents and rising from 14 cents reported in the year-ago quarter. The company added 451 net new customers during the quarter, reflecting 18.8% year-over-year growth.

SNOW Stock’s Performance 

Snowflake shares are trading above the 50-day moving average, indicating a bullish trend.

SNOW Shares Trade Above 50-Day SMA

Snowflake Shares Trading at a Premium

Snowflake shares are trading at a premium, as suggested by the Value Score of F.

In terms of forward 12-month P/S, SNOW stock is trading at 14.49X compared with the industry’s 5.67X. The stock is expensive than competitors like Teradata TDC and MongoDB MDB.

Shares of Teradata and MongoDB are currently trading at P/S ratios of 1.28X and 6.91X, respectively.

Price/Sales (F12M)

With shares trading near 52-week high and valuation metrics stretched, the key question is whether SNOW still offers compelling upside at current levels. Let’s take a closer look.

Snowflake’s Strong and Innovative Portfolio Drives Growth

Snowflake’s expanding portfolio has been noteworthy. Products like Generation 2 Warehouses, Adaptive Compute, Openflow and Snowflake Intelligence are helping drive new enterprise adoption.

Building on this momentum, in June 2025, Snowflake launched Generation 2 Warehouses with 2.1x faster analytics and Adaptive Compute to enable automatic resource scaling. The company also introduced Openflow, a managed service built on Apache NiFi, to simplify batch and streaming data ingestion into the AI Data Cloud, supporting faster integration for AI and real-time workloads.

Snowflake’s investments in AI and machine learning, including the introduction of Snowflake Intelligence and enhancements to the Marketplace with agentic native apps and AI-ready datasets, continue to gain traction. These capabilities are helping customers accelerate GenAI deployment across business functions and reduce time to insight.

Strong Clientele and Partnerships Support SNOW’s Momentum

Snowflake’s platform continues to gain adoption among large enterprises across industries. Companies like JPMorgan Chase, AstraZeneca, Siemens, Samsung Ads and Dentsu are leveraging the AI Data Cloud to unify workloads, improve visibility and drive more personalized customer experiences. As of the first quarter, more than 5,200 customers were actively using Snowflake’s AI and ML features weekly.

Snowflake also benefits from a robust partner ecosystem that includes Microsoft MSFT, Amazon, ServiceNow and NVIDIA, along with consulting leaders like EY and S&P Global. In partnership with Microsoft, the company continues to enhance data interoperability and simplify AI development. A recently expanded collaboration with Acxiom enables the unification of identity and audience data within the Snowflake Data Cloud, helping brands launch AI-driven marketing campaigns with improved personalization and reach. Microsoft remains a key technology partner for Snowflake as it pushes co-innovation efforts across industries to drive broader GenAI adoption.

SNOW Offers Positive View for Q2 and FY26

For the second quarter of fiscal 2026, Snowflake expects product revenues in the range of $1.03-$1.04 billion. The projection range indicates year-over-year growth of 25%. For fiscal 2026, Snowflake projects product revenues to grow 25% year over year to reach $4.32 billion.

The Zacks Consensus Estimate for second-quarter fiscal 2026 revenues is currently pegged at $1.08 billion, indicating 24.85% year-over-year growth. The consensus mark for earnings is currently pegged at 26 cents per share, unchanged over the past 30 days. This indicates an increase of 44.44% year over year. 

Snowflake Inc. Price and Consensus

Snowflake Inc. price-consensus-chart | Snowflake Inc. Quote

The Zacks Consensus Estimate for SNOW’s fiscal 2026 revenues is pegged at $4.51 billion, indicating year-over-year growth of 24.50%. The consensus mark for earnings is pegged at $1.06 per share, which has decreased nine cents over the past 30 days. This indicates an increase of 27.71% on a year-over-year basis.

How Should Investors Play SNOW Stock?

Snowflake’s expanding customer footprint, continued platform innovation and strong ecosystem of partners provide a solid foundation for long-term growth. However, intensifying competition from hyperscale cloud providers like AWS, Azure and Google Cloud continues to be a competitive hurdle.

The company also faces increasing pressure from enterprise data cloud and analytics providers such as Teradata and MongoDB, which are enhancing their offerings and capturing market share. In parallel, elevated infrastructure spending, particularly on GPUs to support AI-driven initiatives, is adding to cost pressures. Stretched valuation remains a concern.

SNOW currently carries a Zacks Rank #3 (Hold), suggesting that it may be wise to wait for a more favorable entry point in the stock. You can see the complete list of today’s Zacks #1 Rank (Strong Buy) stocks here.

This article originally published on Zacks Investment Research (zacks.com).

Zacks Investment Research

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Solutions Review Executive Editor Tim King curated this list of notable storage and data protection news for the week of June 20, 2025.

Keeping tabs on all the most relevant storage and data protection news can be a time-consuming task. As a result, our editorial team aims to provide a summary of the top headlines from the last week in this space. Solutions Review editors will curate vendor product news, mergers and acquisitions, venture capital funding, talent acquisition, and other noteworthy storage and data protection news items.

For early access to all the expert insights published on Solutions Review, join Insight Jam, a community dedicated to enabling the human conversation on AI.

Top Storage and Data Protection News for the Week of June 20, 2025

Cohesity Boosts Resilience for Mission-Critical MongoDB Workloads

Cohesity has announced a deeper integration with MongoDB, delivering advanced backup and recovery capabilities tailored for large, mission-critical datasets. The new API-based solution enhances performance, scalability, and security—supporting the stringent requirements of global enterprises in banking, finance, and beyond.

Read more: prnewswire.com/apac/news-releases/cohesity-strengthens-resilience-of-large-mission-critical-mongodb-workloads-302485292.html

CTERA First in Hybrid Cloud Storage to Support Model Context Protocol (MCP)

CTERA has become the first hybrid cloud storage provider to support the Model Context Protocol (MCP), enabling seamless integration with next-generation AI and machine learning workflows. This innovation allows enterprises to securely manage and access contextual data across distributed environments, paving the way for more intelligent, scalable AI deployments.

Read more: globenewswire.com/fr/news-release/2025/06/17/3100715/0/en/CTERA-Becomes-First-in-Hybrid-Cloud-Storage-to-Support-the-Model-Context-Protocol-MCP.html

DoControl Launches Dot: The First AI-Powered SaaS Data Security Assistant

DoControl has introduced Dot, the industry’s first AI-powered SaaS Data Security Assistant designed to revolutionize how security teams manage and protect SaaS environments. Leveraging a deeply contextualized data infrastructure, Dot enables natural-language interaction with complex security data, transforming fragmented, manual processes into simple, conversational workflows.

Read more: prnewswire.com/news-releases/docontrol-launches-first-ever-ai-powered-saas-data-security-assistant-dot-302484628.html

Study Finds 72 Percent of Enterprises Plan to Expand AI Use Despite Data Privacy and Ethics Concerns

A recent survey reveals that while 72 percent of enterprises intend to broaden their AI adoption, many remain concerned about data privacy, bias, and ethical risks. Tech leaders prioritize expanding AI capabilities but emphasize the need for robust governance frameworks to mitigate these challenges and ensure responsible AI deployment across industries.

Read more: finance.yahoo.com/news/study-finds-72-enterprises-plan-130000001.html

IBM Introduces Industry-First Software for Unified Agentic Governance and Security

IBM has launched the industry’s first software platform designed to unify agentic governance and security for enterprise AI. The new solution provides organizations with centralized oversight and control of AI agents, ensuring compliance, risk management, and operational transparency as businesses deploy increasingly autonomous AI systems across their operations.

Read more: newsroom.ibm.com/2025-06-18-ibm-introduces-industry-first-software-to-unify-agentic-governance-and-security

NTT DATA Report Reveals C-Suite Divide on GenAI Adoption and Security

A new global report from NTT DATA highlights a significant misalignment within the C-suite regarding generative AI (GenAI) adoption. While 99 percent of executives plan further GenAI investments and 67 percent of CEOs are making significant commitments, nearly half of CISOs express concerns about security gaps and unclear internal guidelines.

Read more: https://www.ndtvprofit.com/technology/c-suite-misalignment-over-gen-ai-adoption-shows-ntt-data-research

Nutanix Report: Public Sector Rapidly Adopting Generative AI, But Faces Security Hurdles

A new Nutanix study reveals that 83 percent of public sector organizations have a generative AI strategy, with most already implementing or preparing to deploy AI solutions. While GenAI is expected to boost productivity and automation, 76 percent of IT leaders say their infrastructure needs significant upgrades to support these advances. Security and privacy remain top concerns, with 92 percent of leaders calling for stronger protections as AI becomes integral to public sector operations.

Read more: nutanix.com/press-releases/2025/nutanix-study-finds-public-sector-embraces-generative-ai

Pure Storage Introduces the Enterprise Data Cloud

Pure Storage has unveiled its Enterprise Data Cloud, a new platform designed to unify data management, storage, and analytics for modern enterprises. The solution promises seamless data mobility, robust security, and simplified operations—helping organizations harness the full value of their data across on-premises and cloud environments.

Read more: purestorage.com/company/newsroom/press-releases/pure-storage-introduces-the-enterprise-data-cloud.html

Qumulo Stratus: Cryptographically Isolated Edge-to-Core-to-Cloud Data Platform

Qumulo has announced Stratus, a multi-tenant data platform that delivers cryptographically isolated data management from edge to core to cloud. Stratus is designed to empower organizations with secure, scalable, and resilient data storage, supporting modern workloads and regulatory requirements across distributed environments.

Read more: businesswire.com/news/home/20250617477912/en/Qumulo-Stratus-Cryptographically-Isolated-Edge-to-CoretoCloud-MultiTenant-Data-Platform

SingleStore Unveils Enterprise AI Platform for Real-Time, Serverless Workflows

SingleStore has launched a major update to its enterprise AI platform, introducing real-time, serverless functions designed to streamline development and deliver ultimate flexibility for AI-powered applications. The new release focuses on enhancing developer productivity and enabling organizations to build, deploy, and scale AI solutions faster and more efficiently.

Read more: aithority.com/machine-learning/singlestore-drops-an-enterprise-ai-glow-up-built-for-real-time-serverless-functions-and-ultimate-dev-flow/

StorONE Launches OneAI to Revolutionize Storage Intelligence

StorONE has introduced OneAI, a new platform that brings advanced artificial intelligence to storage management. OneAI is designed to optimize performance, automate routine tasks, and provide predictive analytics, enabling organizations to maximize the value and efficiency of their storage infrastructure.

Read more: storone.com/news-and-events/storone-unveils-oneai/

Expert Insights

Watch this space each week as our editors will share upcoming events, new thought leadership, and the best resources from Insight Jam, Solutions Review’s enterprise tech community where the human conversation around AI is happening. The goal? To help you gain a forward-thinking analysis and remain on-trend through expert advice, best practices, predictions, and vendor-neutral software evaluation tools.

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NEW by SR Expert at Insight Jam Paula Caligiuri, PhD.: How Humility Supercharges Technical Talent

According to our April 2025 report, 81 percent of tech professionals agree that humility—defined as actively seeking and using feedback—is critical for growth. But nearly half (46 percent) say the feedback they receive is too vague or unhelpful and not actionable. Which means even the most open-minded, competent professionals are flying without enough external input to keep growing.

Read on Solutions Review

ICYMI: Mini Jam Q2, 2025 – AI Agents of Change: Watch All Sessions On-Demand

Centered on the theme ‘AI Agent of Change’, this quarterly Insight Jam virtual event explores the emerging role of AI agents in reshaping the Future of  Work through Automation, driving innovation, and facilitating adaptation to the new reality of this AI moment. Be sure to register free for InsightJam.com here to watch all the sessions live or on-demand.

Read on Solutions Review

For consideration in future data protection news roundups, send your announcements to the editor: tking@solutionsreview.com.

Fifth Third Bancorp boosted its position in MongoDB, Inc. (NASDAQ:MDB – Free Report) by 15.9% during the 1st quarter, according to the company in its most recent filing with the Securities & Exchange Commission. The fund owned 569 shares of the company’s stock after purchasing an additional 78 shares during the quarter. Fifth Third Bancorp’s holdings in MongoDB were worth $100,000 at the end of the most recent quarter.

Several other hedge funds have also recently bought and sold shares of the company. Assenagon Asset Management S.A. raised its position in shares of MongoDB by 24.4% during the 1st quarter. Assenagon Asset Management S.A. now owns 369,313 shares of the company’s stock worth $64,778,000 after buying an additional 72,424 shares in the last quarter. Handelsbanken Fonder AB raised its position in shares of MongoDB by 0.4% during the 1st quarter. Handelsbanken Fonder AB now owns 14,816 shares of the company’s stock worth $2,599,000 after buying an additional 65 shares in the last quarter. SG Americas Securities LLC raised its position in shares of MongoDB by 1,230.3% during the 1st quarter. SG Americas Securities LLC now owns 24,997 shares of the company’s stock worth $4,384,000 after buying an additional 23,118 shares in the last quarter. Farther Finance Advisors LLC raised its position in shares of MongoDB by 57.2% during the 1st quarter. Farther Finance Advisors LLC now owns 1,242 shares of the company’s stock worth $219,000 after buying an additional 452 shares in the last quarter. Finally, Park Avenue Securities LLC raised its position in shares of MongoDB by 52.6% during the 1st quarter. Park Avenue Securities LLC now owns 2,630 shares of the company’s stock worth $461,000 after buying an additional 907 shares in the last quarter. 89.29% of the stock is currently owned by institutional investors.

Analyst Ratings Changes

A number of analysts have commented on the stock. Rosenblatt Securities dropped their price target on shares of MongoDB from $305.00 to $290.00 and set a “buy” rating on the stock in a research report on Thursday, June 5th. Needham & Company LLC restated a “buy” rating and set a $270.00 price target on shares of MongoDB in a research report on Thursday, June 5th. Macquarie restated a “neutral” rating and set a $230.00 price target (up from $215.00) on shares of MongoDB in a research report on Friday, June 6th. Daiwa Capital Markets assumed coverage on shares of MongoDB in a report on Tuesday, April 1st. They issued an “outperform” rating and a $202.00 target price on the stock. Finally, Citigroup dropped their target price on shares of MongoDB from $430.00 to $330.00 and set a “buy” rating on the stock in a report on Tuesday, April 1st. Eight investment analysts have rated the stock with a hold rating, twenty-four have issued a buy rating and one has issued a strong buy rating to the stock. According to MarketBeat.com, the company has a consensus rating of “Moderate Buy” and an average price target of $282.47.

Read Our Latest Analysis on MongoDB

MongoDB Stock Down 0.7%

MDB stock opened at $204.15 on Friday. The company has a market capitalization of $16.68 billion, a price-to-earnings ratio of -179.08 and a beta of 1.39. MongoDB, Inc. has a 12 month low of $140.78 and a 12 month high of $370.00. The firm has a 50 day moving average of $184.32 and a two-hundred day moving average of $223.66.

MongoDB (NASDAQ:MDB – Get Free Report) last posted its earnings results on Wednesday, June 4th. The company reported $1.00 EPS for the quarter, topping the consensus estimate of $0.65 by $0.35. The company had revenue of $549.01 million during the quarter, compared to the consensus estimate of $527.49 million. MongoDB had a negative net margin of 4.09% and a negative return on equity of 3.16%. The company’s revenue for the quarter was up 21.8% compared to the same quarter last year. During the same period in the previous year, the firm posted $0.51 earnings per share. On average, research analysts expect that MongoDB, Inc. will post -1.78 EPS for the current fiscal year.

Insider Buying and Selling

In related news, CEO Dev Ittycheria sold 25,005 shares of the company’s stock in a transaction on Thursday, June 5th. The shares were sold at an average price of $234.00, for a total transaction of $5,851,170.00. Following the completion of the sale, the chief executive officer now directly owns 256,974 shares of the company’s stock, valued at approximately $60,131,916. This represents a 8.87% decrease in their position. The transaction was disclosed in a filing with the Securities & Exchange Commission, which is accessible through this hyperlink. Also, insider Cedric Pech sold 1,690 shares of the company’s stock in a transaction on Wednesday, April 2nd. The shares were sold at an average price of $173.26, for a total transaction of $292,809.40. Following the transaction, the insider now owns 57,634 shares of the company’s stock, valued at approximately $9,985,666.84. The trade was a 2.85% decrease in their ownership of the stock. The disclosure for this sale can be found here. In the last three months, insiders sold 49,208 shares of company stock valued at $10,167,739. Company insiders own 3.10% of the company’s stock.

MongoDB Profile

(Free Report)

MongoDB, Inc, together with its subsidiaries, provides general purpose database platform worldwide. The company provides MongoDB Atlas, a hosted multi-cloud database-as-a-service solution; MongoDB Enterprise Advanced, a commercial database server for enterprise customers to run in the cloud, on-premises, or in a hybrid environment; and Community Server, a free-to-download version of its database, which includes the functionality that developers need to get started with MongoDB.

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Accidentally exposing secrets like API keys, tokens, or credentials in your code opens the door for threat actors to exploit your systems. Such attackers don’t stop at one breach; they automate their attacks, move fast, and can potentially compromise entire infrastructure within minutes.

To tackle such scenarios, MongoDB has come up with an open source solution called “Kingfisher“.

What’s Happening: Launched as an open source tool for detecting secrets in code, file systems, and Git history, Kingfisher was born out of MongoDB’s need for a fast, reliable way to identify exposed credentials and prevent security risks before they spiral out of control.

The tool doesn’t just stop there; it can also validate any secrets it finds, as long as they are from supported services, so developers know which keys are still active and risky.

MongoDB has been using Kingfisher internally throughout its development and deployment processes, helping them detect and fix exposed secrets early.

What to Expect: As for how it works, Kingfisher scans code, files, and Git history using various techniques like entropy analysis, real-time validation, pattern matching, and source code parsing for or accurate detection of exposed secrets.

It’s written in Rust and has many handy features like multi-language source parsing with Tree-sitter, high-speed regex matching with Hyperscan, extensible rulesets, cross-platform support, and over 700 built-in detection rules that cover a wide range of cloud services and secret types.

All of this runs on the user’s own systems or infrastructure, ensuring no sensitive data is sent to third-party servers, and there’s cross-platform support for Linux, Windows, and macOS. Using Kingfisher also helps security teams stay aligned with SLSA compliance standards.

If you are up for a longer read, then MongoDB has published a detailed blog post explaining how they built Kingfisher.