Safe Code Warrior collaborating with AWS, launches Amazon Bedrock AI Studying Modules
Safe Code Warrior introduced it has signed a collaboration settlement with Amazon Net Companies (AWS), and has launched new interactive, hands-on coaching modules now accessible throughout the Safe Code Warrior platform.
The brand new modules allow builders and engineers to construct Safe by Design habits, keep steady danger consciousness, and undertake safe operational practices for Amazon Bedrock, a platform for constructing generative AI purposes and brokers at manufacturing scale.
Safe Code Warrior’s modules and actions deal with securing infrastructure as code for Amazon Bedrock utilizing Terraform. These Bedrock-specific safe coding modules assist builders perceive and mitigate dangers distinctive to AI and LLM-based purposes — together with immediate injection, extreme company, inadequate logging, and knowledge publicity. The brand new content material consists of 4 Coding Labs, 4 AI Challenges, and 1 Walkthrough Mission, offering builders with managed, direct publicity to those dangers in interactive environments.
“Software program improvement is being augmented by generative and agentic AI expertise on an unprecedented scale, and this strategic collaboration couldn’t come at a extra mission-critical second for each safety leaders and future-focused builders,” mentioned Pieter Danhieux, CEO and co-Founding father of Safe Code Warrior. “As organizations proceed to undertake generative AI purposes and instruments, an inherent degree of danger is launched – however this danger dramatically will increase when builders aren’t correctly educated on the instruments and platforms they’re leveraging. Builders want greater than theoretical steering; they require sensible expertise in figuring out and mitigating real-world threats. By coming into into this SCA with AWS to ship hands-on coaching for Amazon Bedrock, we’re serving to enterprise groups be taught to confidently handle AI vulnerabilities and crimson flags in order that they will construct AI purposes which can be safe by default.”
NetSPI launches AI-powered Steady Pentesting to assist organizations validate and scale back danger as assault surfaces quickly evolve
Penetration testing supplier NetSPI introduced the launch of its AI-powered Steady Pentesting choices, designed to assist organizations repeatedly determine, validate and scale back danger.
Organizations are managing an increasing variety of potential entry factors as new internet-facing assets, together with cloud belongings, purposes, APIs, and AI-centric belongings, are launched. Every deployment can create new danger, making it tougher for safety groups to take care of a transparent view of publicity with out steady, validated perception.
NetSPI’s Steady Pentesting choices embrace Steady Exterior Penetration Testing, Steady Cloud Penetration Testing, agentic Mannequin Context Protocol (MCP) Integrations, and NetSPI’s AI-accelerated platform to assist groups discover, prioritize and remediate actual danger as environments change.
“The quickly evolving risk panorama requires safety testing that gives real-time scale and accuracy, with out the noise of hundreds of false positives,” mentioned Nabil Hannan, Subject CISO at NetSPI. “NetSPI’s AI-powered steady penetration testing helps groups determine and validate important dangers shortly, permitting them to reply with confidence whereas specializing in cost-effective and related vulnerability detection.”
With NetSPI’s Steady Pentesting choices, clients can:
- Repeatedly uncover, determine, and check exposures throughout exterior environments with Steady Exterior Penetration Testing
- Determine cloud misconfigurations, extreme permissions, and uncovered companies as they emerge with Steady Cloud Penetration Testing
- Validate actual danger by ongoing testing that simulates attacker conduct
- Use NetSPI’s MCP integrations to automate risk-based workflows and selections utilizing engagement and vulnerability information.
- Entry findings by NetSPI’s trendy, centralized platform with clear, actionable suggestions for remediation
Claude Platform now accessible on AWS
The Claude Platform on AWS is now typically accessible, providing a brand new manner for AWS clients to entry the complete set of Claude Platform options with AWS authentication, billing, and dedication retirement. Claude additionally stays accessible on Amazon Bedrock, the place AWS is the information processor.
Beginning at present, Claude Platform on AWS clients can deploy brokers at scale with Claude Managed Brokers, at the moment in beta. Different platform options embrace an advisor technique, additionally in beta, that assist brokers seek the advice of an advisor mannequin; net search and net fetch; and the flexibility to run Python code, create visualizations and analyze information instantly inside API calls. The platform additionally comes with a Information API for doc referencing and Abilities that train Claude finest practices for constant outcomes, amongst different options.
Authentication runs by AWS IAM, audit logging by CloudTrail, and billing by a single AWS bill that totally retires towards current commitments. Prospects use their current AWS credentials and IAM insurance policies, so groups keep throughout the instruments and permissions they already handle.
Claude Platform on AWS can be accessible in most AWS business areas and assist international and U.S. inference geographies. Claude Platform on AWS clients additionally get entry to the Claude Console, Anthropic’s improvement surroundings for constructing and testing with Claude. The Console features a immediate improver, immediate generator, and analysis instruments.
Claude Opus 4.7, Sonnet 4.6, and Haiku 4.5 can be found, with new fashions delivery on the Claude Platform on AWS as they launch.
The Claude Platform on AWS is out there at present. To get began, go to the Claude Platform on AWS or discover the documentation.
Sembi publishes inaugural Software program High quality Pulse Report
Sembi at present launched its first-ever Software program High quality Pulse Report, a worldwide research inspecting how organizations are managing software program high quality, testing, and safety within the age of AI. The report is an expanded continuation of TestRail’s earlier 4 Software program Testing and High quality Experiences.
