SCW AI Adoption Model: Secure AI for the Agentic SDLC. Secure Code Warrior has launched its SCW AI Adoption Model, a practical framework that outlines the full evolution of AI in software development - from minimal AI support to fully autonomous, agent-driven orchestration. The model helps CISOs understand their organization's current stage of AI adoption, determine the training developers need at each level, and define the governance controls required as autonomy grows, addressing the key question security leaders are asking: where to begin. Gartner's 2026 Hype Cycle for Secure Software Engineering warns that AI-augmented development is 'expanding the attack surface faster than traditional controls can scale,' and that AI coding tools are making secure coding skills more important than ever. Machine Learning & Artificial Intelligence AI adoption is no longer confined to engineering: non-developer employees building applications with no-code and vibe coding tools still contribute to an organization's risk profile. The SCW AI Adoption Model organizes AI development into three phases: AI-Assisted, AI Native, and Agentic. Each phase carries distinct risk levels, developer skills requirements, and governance controls, giving CISOs a clear way to connect AI usage, developer capability, and software risk signals. This allows security leadership to measure, reduce, and govern risk while demonstrating progress in securing the Software Development Lifecycle (SDLC) as it transitions to the more relevant Agentic Development Lifecycle (ADLC). "In our current AI-powered development, writing lines of code is almost free, but developers are still on the hook for secure outcomes. Their security skills need to evolve from code writer to creator & orchestrator," said Pieter Danhieux, Secure Code Warrior Co-founder & CEO. "CISOs need an approach to ADLC governance that is as modern as the methodology itself, one that follows an adoption model designed for agentic AI's evolving, adaptive approach to software development. We've built this framework to help organizations turn secure AI adoption and AI governance from a reactive exercise into a measurable, scalable discipline." As security leaders need data-driven insights to inform their AI cost decision-making, this new framework provides organizations the insight needed to safely address risk correlation. With the SCW AI Adoption Model, organizations can: * Identify their current AI adoption stage: Not all AI use carries the same risk. The model gives organizations a clear map to help them identify where they are, what training is required, and what governance controls need to be in place at that stage. * Deliver training that meets developers where they are: Not every developer has the same skill level or uses AI the same way. SCW maps capability, risk, and training to each adoption phase - giving developers the specific AI security skills that apply to how they actually work. * Demonstrate governance ROI: Gartner predicts that by 2027, more than 40% of agentic AI projects will be abandoned because of uncontrolled costs and poor risk controls. The answer isn't more AI catching AI mistakes - it's training developers to use AI correctly from the start, producing secure code, avoiding repeated vulnerabilities, and using AI efficiently enough to keep costs under control. SCW provides the tools and training to prove that behavior change is making an impact. To learn more about the SCW AI Adoption Model, explore the full framework at the website here. https://www.securecodewarrior.com/solution/scw-ai-adoption-model

Secure Code Warrior releases AI Adoption Model. June 23, 2026 Secure Code Warrior introduced its new SCW AI Adoption Model, a practical framework that maps the full progression of AI use in software development, from minimal AI assistance or fully autonomous agentic orchestration. The framework gives CISOs a roadmap to identify where their organization sits today from an AI adoption perspective, the training developers need at each stage, and which governance controls are required as autonomy increases - answering the question every security leader is asking: where do DevOps Digest start? The SCW AI Adoption Model organizes AI development into three phases: AI-Assisted, AI Native, and Agentic. Each phase carries distinct risk levels, developer skills requirements, and governance controls, giving CISOs a clear way to connect AI usage, developer capability, and software risk signals. This allows security leadership to measure, reduce, and govern risk while demonstrating progress in securing the Software Development Lifecycle (SDLC) as it transitions to the more relevant Agentic Development Lifecycle (ADLC). "In our current AI-powered development, writing lines of code is almost free, but developers are still on the hook for secure outcomes. Their security skills need to evolve from code writer to creator & orchestrator," said Pieter Danhieux, Secure Code Warrior Co-founder & CEO. "CISOs need an approach to ADLC governance that is as modern as the methodology itself, one that follows an adoption model designed for agentic AI's evolving, adaptive approach to software development. We've built this framework to help organizations turn secure AI adoption and AI governance from a reactive exercise into a measurable, scalable discipline." With the SCW AI Adoption Model, organizations can: - Identify their current AI adoption stage: Not all AI use carries the same risk. The model gives organizations a clear map to help them identify where they are, what training is required, and what governance controls need to be in place at that stage. - Deliver training that meets developers where they are: Not every developer has the same skill level or uses AI the same way. SCW maps capability, risk, and training to each adoption phase - giving developers the specific AI security skills that apply to how they actually work. - Demonstrate governance ROI: SCW provides the tools and training to prove that behavior change is making an impact. The SCW AI Adoption Model is now available. Industry news. June 23, 2026 The Linux Foundation, the nonprofit organization enabling mass innovation through open source, announced the intent to launch the Agent Name Service (ANS), a new open standard designed to provide trusted identity, verification, and discovery for AI agents operating across the internet. June 23, 2026 Secure Code Warrior introduced its new SCW AI Adoption Model, a practical framework that maps the full progression of AI use in software development, from minimal AI assistance or fully autonomous agentic orchestration. June 23, 2026 Snyk announced Evo Agentic Development Security (ADS), extending security coverage to the AI workforce powering modern software development. June 23, 2026 Momentic launched a major platform update that rethinks software verification for the AI era. June 22, 2026 Check Point(R) Software Technologies Ltd.(link is external) announced the use of OpenAI's frontier cyber capabilities into its customer-facing defenses. June 22, 2026 TypeMock announced the launch of TypeMock Test Review, a new solution that helps software development teams evaluate the quality of their unit tests by identifying duplicate, fragile, ineffective, and high-maintenance tests that wasn't required before AI generated tests. June 18, 2026 Check Point(R) Software Technologies Ltd.(link is external) announced its upcoming integration with Amazon Bedrock AgentCore. June 18, 2026 UltraViolet Cyber (UltraViolet) announced the launch of UltraViolet Solstice, its proprietary AI platform for application penetration testing. June 18, 2026 Infragistics launched three integrated AI development tools that make up its new Ignite UI Enterprise MCP toolchain. June 17, 2026 Check Point(R) Software Technologies Ltd.(link is external) and Illumio announced an expanded strategic partnership(link is external) to help organizations defend against a new category of threat: frontier AI models capable of autonomously executing full-scale attacks at machine speed. June 17, 2026 At the AWS Summit, Amazon announced a series of innovations focused on giving AI agents the governed context they need to deliver trusted decisions, including a new service called AWS Context, business context and semantic search for AWS Glue Data Catalog (preview), and the general availability of Amazon S3 annotations. June 17, 2026 Postman has achieved the Amazon Web Services (AWS) AI Competency in the Agentic AI Tools category. June 17, 2026 Azul launched a free JVM vulnerability risk assessment to address the blind spot that autonomous AI exploitation tools are increasingly able to find. June 17, 2026 Prismatic has open-sourced its entire library of pre-built Application Connector and Data Platform components under the Apache-2.0 license, making the code freely available for developers to read, fork and extend. June 16, 2026 Check Point(R) Software Technologies Ltd.(link is external) announced a major expansion of its Managed Service Provider (MSP) platform.

Secure Code Warrior signs strategic collaboration agreement with AWS. May 13, 2026 Secure Code Warrior signed a strategic collaboration agreement (SCA) with Amazon Web Services (AWS), and has launched new interactive, hands-on training modules now available within the Secure Code Warrior platform. The new modules enable developers and engineers to build Secure by Design habits, maintain continuous risk awareness, and adopt secure operational practices for Amazon Bedrock, the platform for building generative AI applications and agents at production scale. Secure Code Warrior has developed immersive, hands-on activities focused on securing infrastructure as code for Amazon Bedrock using Terraform. These Bedrock-specific secure coding modules help developers understand and mitigate risks unique to AI and LLM-based applications - including prompt injection, excessive agency, insufficient logging, and information exposure. The new content includes 4 Coding Labs, 4 AI Challenges, and 1 Walkthrough Mission, providing developers with controlled, direct exposure to these risks in interactive environments. "Software development is being augmented by generative and agentic AI technology on an unprecedented scale, and this strategic collaboration could not come at a more mission-critical moment for both security leaders and future-focused developers," said Pieter Danhieux, CEO and Co-Founder of Secure Code Warrior. "As organizations continue to adopt generative AI applications and tools, an inherent level of risk is introduced - but this risk dramatically increases when developers are not properly educated on the tools and platforms they are leveraging. Developers need more than theoretical guidance; they require practical experience in identifying and mitigating real-world threats. By entering into this SCA with AWS to deliver hands-on training for Amazon Bedrock, we're helping enterprise teams learn to confidently address AI vulnerabilities and red flags so that they can build AI applications that are secure by default," Danhieux said. Together, Amazon Bedrock and Secure Code Warrior enable teams to build AI applications that are both powerful and secure. Developers gain confidence and practical skills to use Bedrock safely, while organizations reduce security risk, prevent costly vulnerabilities, accelerate secure AI adoption, and demonstrate strong governance and compliance - turning AI innovation into a competitive advantage rather than a risk. Industry news. May 14, 2026 F5 announced significant milestones in its ongoing collaboration with Red Hat, unveiling a suite of innovative solutions designed to address the critical needs of Kubernetes-native application protection, AI-powered application security, and IT modernization. May 13, 2026 Red Hat announced the general availability of Red Hat Hardened Images. May 13, 2026 Platform Engineering Labs launched a significant update to its open-source Infrastructure-as-Code (IaC) platform, formae, to streamline the management of complex ecosystems operating on top of Kubernetes and multi-cloud. May 13, 2026 Secure Code Warrior signed a strategic collaboration agreement (SCA) with Amazon Web Services (AWS), and has launched new interactive, hands-on training modules now available within the Secure Code Warrior platform. May 12, 2026 Glean introduced its enterprise Agent Development Lifecycle (ADLC), a new framework and set of platform capabilities designed to help enterprises systematically deploy AI agents and maximize business impact. May 12, 2026 UiPath announced UiPath for Coding Agents, platform wide integration enabling every coding agent to become enterprise deployable. May 12, 2026 KnowBe4 announced a new partnership with Secure Code Warrior to deliver a specialized suite of secure coding content to the KnowBe4 attack simulation and training library, designed to provide foundational security awareness for organizations with technical roles. May 12, 2026 Cycode announced the general availability of its Agentic Development Lifecycle (ADLC) Security product offering to secure AI-driven software development from prompt to runtime. May 11, 2026 CNCF announced the release of Kyverno 1.18, the first release since graduating within the Cloud Native Computing Foundation. May 11, 2026 F5 announced significant milestones in its ongoing collaboration with Red Hat, unveiling a suite of solutions designed to address the critical needs of Kubernetes-native application protection, AI-powered application security, and IT modernization. May 07, 2026 The CNCF Technical Oversight Committee (TOC) has voted to accept Microcks as a CNCF incubating project. May 07, 2026 Opsera and Cursor announced a new partnership to bridge the gap between developer velocity and enterprise-grade security, compliance and architectural guardrails. May 06, 2026 Sonatype announced its participation as a founding member of the newly-formed Sustaining Package Registries Working Group. May 06, 2026 Coder announced the beta release of Coder Agents. May 06, 2026 Moderne announced C# language support across its platform, extending deterministic, large-scale code transformation to .NET codebases.