Press Release
Qoder Launches Qoder Security, Putting Three Layers of Security Into the AI Coding Session
The built-in capability shifts code security from after-the-fact scanning to proactive, in-session protection, improving vulnerability detection by about 60 percent and cutting false-positive alerts by about 80 percent compared with traditional solutions
Singapore, July 23, 2026 — Qoder, the agentic coding platform with more than 5 million registered users, today announced Qoder Security, a built-in capability that embeds security review directly into the AI coding session. As code is written, Qoder Security runs three progressive layers of protection and fixes the issues it finds in the same session, before the code is committed.
The launch targets a widening gap between how fast Agent writes code and how slowly that code gets checked. Agent now assists in generating a large share of new code, and a July 2026 academic study that applied multi-tier verification to nearly 9,000 C++ programs found that AI-generated code triggers confirmed runtime violations at roughly twice the rate of human-written code, even after controlling for code length and test pass rates. Most security tooling, however, still runs after the fact, in CI pipelines or pre-release audits, when the developer’s context is gone and fixes are slowest and most expensive.
“The speed of agentic coding has quietly become the speed at which vulnerabilities enter the repository,” said Ding Yu, Head of Product at Qoder. “We believe security cannot depend on a model’s good behavior. It has to be built into the product architecture. Qoder Security gives every developer the equivalent of a dedicated security engineer, one that reviews, verifies and fixes issues while the code is being written, not weeks later in a report.”
From Static Scanning to Proactive Security
Traditional code security relies on rules and pattern matching. That approach catches hardcoded secrets and known dangerous calls, but it cannot reason about logic flaws such as authorization bypasses or exploitable data flows. Qoder Security, built on Qoder’s proprietary security LLM, takes an approach the company calls proactive security. The system understands code context and taint propagation paths, verifies that a detected issue is actually reachable before reporting it, and then drives the fix itself.
The architecture separates the agent that writes code from the agent that reviews it, avoiding what engineers call reviewing its own work. On the review side, scanning and verification are split between two cooperating agents to improve accuracy. Once a fix lands, the next scan re-verifies it, closing the loop so no security debt is left behind.
Three Layers, Escalating Depth
Running a frontier-scale model over every line of code would be too slow and too expensive. Qoder Security instead assigns a distinct job to each of three layers:
-
Static Check. Pattern-based screening at generation time. Dangerous function calls and other known high-risk patterns are caught and fixed the moment they appear, with no latency and no model cost.
-
Lightweight Scan. After a coding task wraps up, the system suggests a semantic review of the incremental changes. This layer reasons about what the code is trying to do, catching risks such as SQL injection, remote command execution and sensitive data exposure, and verifies reachability before reporting.
-
Deep Scan. Before code is pushed, the system offers a cross-file, cross-function analysis that traces complete data flows from taint source to dangerous sink, surfacing chained vulnerabilities invisible from any single file.
None of the layers interrupts the developer. The first runs silently; the other two appear as suggestions at natural break points in the workflow and run only when the developer says yes. A scan can also be triggered at any time with the /security-scan command or a plain-language request.
Reported Results
According to company data, Qoder Security improves vulnerability detection rates by about 60 percent and reduces false-positive alerts by about 80 percent compared with traditional solutions, shrinking the time from discovery to fix from days to minutes. In internal testing ahead of launch, the system surfaced more than 600 security issues across production-grade open-source projects and AI infrastructure components, many of them widely used and actively maintained. Within Qoder’s own engineering organization, security-related comments in code review have dropped by roughly 35 to 45 percent since adoption.
The broader industry is converging on the same conclusion. Leading AI labs have begun building security review into their coding tools, some at the repository level, others inside the coding session. Qoder Security productizes the in-session approach end to end, with three layers of protection, same-session remediation and closed-loop re-verification available out of the box.
Qoder Security is designed to complement existing security programs rather than replace them. CI-stage scanning and human review remain the right tools for compliance and organizational control; Qoder Security shifts detection and remediation left, to the moment the code is born. Findings may still include false positives, and developers always decide whether to accept a fix.
Availability
Qoder Security is available now in Qoder Desktop and in Qoder CLI. It requires no plugins and no configuration files: open Settings > Security in Qoder Desktop, or run /security-settings in the CLI, and switch it on. Static Check is free; Lightweight Scan and Deep Scan consume credits.
About Qoder
Qoder is an agentic coding platform serving more than 5 million registered developers worldwide through Qoder Desktop, Qoder CLI and JetBrains plugin. Launched in 2025, Qoder pairs autonomous coding agents to help developers ship reliable software faster. Learn more at qoder.com.
Media Contact
Organization: Qoder
Contact Person: Nathan Steel
Website: https://qoder.com
Email:
contact@qoder.com
City: Singapore
Country:Singapore
Release id:47400
The post Qoder Launches Qoder Security, Putting Three Layers of Security Into the AI Coding Session appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
Miami, United States, July 22nd, 2026, Chainwire
Unserious today announced the acquisition of Creepz, one of the most recognizable NFT collections of the 2021-22 cycle. Backed by entrepreneur and investor Adam Weitsman, and with the support of the original founders, the deal places the lizard cult brand under a powerhouse new team.
Most importantly, the acquisition marks a homecoming for Psychrome – the original mastermind and creative genius behind the Creepz lore. Returning to lead IP development, he also brings a resume as a globally exhibited artist whose commercial collaborations span Nike, Salomon, Sneaker Con, Staple, Disney, Warner Bros., and Rovio.
Beyond this foundational creative leadership, the Unserious team brings deep operating experience with a track record spanning consumer brands, entertainment, and enterprise tech, alongside crypto’s largest token launches – including the historic ApeCoin.
Unserious also took the opportunity to formally deny the existence of lizard people, their alleged evil activities, and any plans for $CREEPZ world domination.
About Unserious
Unserious is reimagining the future of decentralized brands.
Contact
Acquirer
Unserious
Unserious
contact@unserious.inc
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
Laramie, Wyoming, July 22nd, 2026, FinanceWire
Mandela Digital today announced a $5 million investment from Datavault AI and the launch of its official digital website at www.mandela.digital.
Datavault AI Commits $5 Million and Technology Platform to Support Mandela Dollar
Datavault AI Inc. has committed and begun deploying $5 million in funding to Mandela Digital. The investment will accelerate the development and launch of the Mandela Dollar (MUSD), a 1:1 USD-backed stablecoin designed to promote financial inclusion, remittances, and digital payments across the Global South and beyond.
Mandela Digital combines institutional-grade financial infrastructure with the moral authority of the Mandela name to address the needs of the billions of people globally who remain unbanked or underbanked.
Under the agreement, Datavault AI’s investment will support stablecoin infrastructure, regulatory compliance, exchange integrations, liquidity, and go-to-market initiatives. As the primary technology partner, Datavault AI will also provide its patented AI platforms, blockchain tokenization expertise, SanQtum quantum-resilient encryption, and real-world asset (RWA) frameworks to power MUSD’s issuance, redemption, compliance, and on-chain transparency.
Key Highlights
- $5 million investment by Datavault AI Inc. (NASDAQ: DVLT) into Mandela Digital.
- Full deployment of Datavault AI’s technology stack, including AI-driven platforms, tokenization patents, quantum-secure encryption, and RWA infrastructure.
- Launch of the Application Stage of the Early Access Programme, which will remain open for a symbolic 67-day window starting on Nelson Mandela International Day 2026, honoring the 67 years Nelson Mandela spent fighting for human rights, equality and social justice.
- Official website www.mandela.digital now live as the central global hub for the initiative.
Mandela Digital Launches Official Digital Home
The new website at www.mandela.digital serves as the venture’s primary global hub, offering stakeholders transparent information, official updates, and resources. It follows the recent opening of applications for the Mandela Dollar Early Access Programme on Nelson Mandela International Day.
Key sections of the website will be updated periodically to include details on the MUSD framework, reserves and audits, governance, the Early Access Programme for financial institutions and intergovernmental organizations, partnership information, and educational resources aligned with Nelson Mandela’s values of economic empowerment.
Quotes
Mustaq Patel, Chairman, Mandela Digital: “I conceived the Mandela Dollar to solve what the industry has long failed to deliver: a stablecoin that combines institutional architecture with genuine moral authority. Technology without trust is a commodity; trust without infrastructure is insufficient. Datavault AI’s $5 million investment and full technology deployment under a signed legal agreement mark the transition from vision to construction. www.mandela.digital represents our commitment to transparency and accessibility as we build serious financial infrastructure for the Global South and beyond.”
Zaziwe Dlamini-Manaway, Director, Mandela Digital “My grandfather measured progress by its impact on people’s daily lives — whether families could thrive, young people could build futures, and workers could preserve the value of their labor. Mandela Digital, brought to us by Mustaq Patel and now supported by Datavault AI’s capital and technology under formal agreement, carries that vision forward with clarity and seriousness of purpose. The Mandela name stands for what endures, and we are confident this initiative is built to last.”
About Mandela Digital
Mandela Digital is the U.S.-headquartered Joint Venture developing the Mandela Dollar (MUSD), a 1:1 USD-backed stablecoin engineered to institutional standards. The initiative aims to expand reliable U.S. Dollar-denominated financial access across Africa, Southeast Asia, Latin America, and beyond.
Caution Regarding Unauthorized Tokens
The Mandela Dollar (MUSD) is currently in development and not yet live on any blockchain or exchange. Mandela Digital has not authorized any token sale, pre-sale, ICO, IEO, or similar offering. The public is advised to exercise extreme caution against any unauthorized tokens, websites, or individuals claiming to represent MUSD or Mandela Digital. Suspected fraudulent activity should be reported to legal@mandela.digital. All verified information is available exclusively at www.mandela.digital.
Forward-Looking Statements
This press release contains forward-looking statements within the meaning of U.S. federal securities laws. These statements are based on current expectations and are subject to risks and uncertainties, including regulatory developments, technology timelines, market conditions, and other factors that may cause actual results to differ materially. Neither Datavault AI nor Mandela Digital undertakes any obligation to update forward-looking statements except as required by law.
Nothing in this release constitutes an offer to sell or solicitation to buy any security or digital asset.
Contact
Chairman
Mustaq Patel
Mandela Digital
PR@mandela.digital
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
Press Release
Former Marine Engineer Turned Supply Chain Executive Releases “From Engines to Algorithms,” Charting a New Framework for Operational Constraints
Los Angeles, California, 22nd July 2026 — Niraj Jha, Senior Director of Logistics at Niagara Bottling LLC, the largest privately held beverage company in the United States, has released From Engines to Algorithms, a book drawing on his uncommon path from licensed marine engineer to supply chain leader to explain why technology does not make operational bottlenecks disappear, they just relocate them.
Jha spent four years at sea as a marine engineer before moving into logistics and manufacturing operations, a transition that forms the spine of the book. The title itself signals the arc: from the mechanical world of ship engines, where a single failed component can strand a vessel, to the algorithmic systems now running modern supply chains, where the failure points are just as real but far less visible.
At the center of the book is Jha’s “Law of Constraint Migration,” a framework he has developed over years of running manufacturing and logistics operations across dozens of plants and thousands of weekly truckloads. The core argument: every time an organization fixes its most visible bottleneck with technology , the constraint does not vanish, it migrates to the next weakest point in the system. Leaders who treat constraint-fixing as a one-time project, rather than a permanent discipline, end up chasing the same problem in a different disguise year after year.
“Systemic failure does not happen because of one big catastrophic event,” Jha said. “It starts with leaders having a static approach to problem solving , where this fix one constraint using technology and then move on without understanding where the constraint has moved.”
That principle was shaped in part by direct experience. Jha’s early engineering career included firsthand exposure to the operational and mechanical failure chains that can escalate quietly before becoming visible incidents, lessons he has carried directly into how he now evaluates risk in logistics networks spanning multiple plants, carriers, and third-party providers.
Since moving into supply chain leadership, Jha has held roles from plant director to his current position overseeing logistics strategy across a multi-state region, and is now deeply involved in Niagara Bottling’s AI strategy for manufacturing and supply chain operations. He holds several patents in manufacturing and supply chain technology, including three granted US patents around direct to store shipments, and has deployed AI-driven systems for automated palletizing, dynamic shipping, and operational incident handling.
From Engines to Algorithms is written for operators, not theorists. Jha’s stated approach throughout is practitioner credibility over metaphor: fewer abstractions, more direct account of what breaks in real operations and why. The book avoids the hedge-everything tone common in management literature in favor of decision-oriented conclusions.
Jha is a member of CSCMP’s Executive Inner Circle, an invitation-only group of senior supply chain executives, as well as the member of the World Economic Forum and the Fast Company Executive Board. He has been featured as a keynote speaker in multiple industry forums and his writing has appeared in Beverage digest, supply chain management review, SupplyChainBrain, Fast Company, and other trade publications, and he continues to publish ongoing analysis on constraint migration, AI economics, and supply chain strategy through his Substack and LinkedIn.
From Engines to Algorithms is available now. Readers can learn more and find purchasing details at enginestoalgorithms.com.
About the Author
Niraj Jha is Senior Director of Logistics at Niagara Bottling LLC, where he is deeply involved in the company’s AI strategy for manufacturing and supply chain operations. A licensed marine engineer by training, he spent four years in deep-sea service before transitioning into supply chain and operations leadership, where he has spent sixteen years in various leadership roles. He holds several patents in manufacturing and supply chain technology and developed and conceptualized the Law of Constraint Migration.
Media Contact Visit enginestoalgorithms.com for more information.
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
Qoder Launches Qoder Security, Putting Three Layers of Security Into the AI Coding Session
Adam Weitsman Backs Unserious in their Acquisition of Creepz and Psychrome homecoming
Mandela Digital Announces $5 Million Investment From Datavault AI
Benzinga Money Article Discusses How to Become Part of the 12% of Retirees Who Have Achieved the Recommended $550,000 Minimum Retirement Savings Threshold
Apu Apustaja Conquers New York with Lively Street Ads, Including Times Square Billboard
Bay Smokes Maintains Quality Amid Legislative Changes in the Hemp Industry
-
Press Release3 days ago
Samruk-Kazyna and Huawei Discuss AI Infrastructure Development in Kazakhstan
-
Press Release3 days ago
Kazakhstan and China to Establish a Smart Transportation Corridor
-
Press Release5 days ago
How ProfitPilot AI Is Transforming Intelligent Investing The Vision of Global Capital Partners Investments LLC
-
Press Release5 days ago
Brian Baldari, Brick NJ ResilExec Coach, Explains Why Adaptability Is the Leadership Skill That Separates Leaders Who Advance From Leaders Who Plateau
-
Press Release5 days ago
8 Cylinders Auto Repair Philadelphia Expands Professional Auto Repair and Maintenance Services
-
Press Release5 days ago
Where GCC’s Most Consequential Business Decisions Get Made
-
Press Release5 days ago
Joe Shields Brings Software Design Thinking to Hospitality Through States of Leisure’s Experience-First Approach
-
Press Release5 days ago
Terrance Bradford Tampa, FL Explains Why Problem-Solving Is One of Construction’s Most Valuable Skills