Latest news with #Perforce
Techday NZ
23-05-2025
- Business
- Techday NZ
Perforce introduces AI features for DevOps, boosts efficiency & testing
Perforce Software has announced the launch of Perforce Intelligence, a new tool designed to integrate artificial intelligence across its DevOps product lines and bridge gaps between security, development, and operations teams. Perforce Intelligence is embedded within the company's continuous testing, infrastructure automation, and diagramming solutions, aiming to help customers save time and costs, expand test coverage, and address data silos that typically exist in technology teams. The integration of AI within existing Perforce products challenges the effectiveness of generic AI approaches. The company is also announcing enhancements to Puppet Enterprise Advanced, which are intended to help teams learn, optimise, and better understand their infrastructure changes without requiring specialist skills in the Puppet language. Jim Mercer, Program Vice President, Software Development, DevOps & DevSecOps at IDC, commented on the complexity of implementing AI successfully in technology teams. He said, "AI is not easy to implement among teams, and we've seen pockets of success but also still a ton of confusion and need for understanding of how and where to embed AI within the DevOps lifecycle. It will be important for companies and institutions to partner with organizations that provide them with high value and low risk when it comes to AI." Jake Hookom, Executive Vice President of Products at Perforce, outlined the company's aim to act as a multiplier for AI adoption in business. He said, "At Perforce, we understand that every organisation, regardless of size, has AI ambitions. Our approach to AI is to act as a strategic multiplier, helping businesses adopt AI in a way that delivers value and produces measurable outcomes from our products and within their larger DevOps ecosystem. With security and compliance top of mind for enterprises, those customers are affirming our approach to AI every week with stories on the positive impact we're having on their DevOps teams." Perforce Intelligence claims to differentiate from other testing tools by eliminating the need for scripts and frameworks, aiming to simplify the process for teams to deliver secure applications across various platforms or devices. The tool uses visual and contextual validation to ensure applications adapt dynamically without requiring human intervention, reportedly providing customers with 50% efficiency gains and a 20% increase in test coverage, according to the company. Byron Chan, Digital Delivery Quality Assurance Lead at Servus, commented on the product's potential: "We are excited about where this can go. I see tremendous potential because eventually you could come up with test cases in this prompt format before development even starts, and then once developed/deployed, you could potentially avoid manual testing and automation test development because it's already done." Puppet Enterprise Advanced, part of Perforce's infrastructure automation portfolio, will include a new feature in June 2025 called Puppet Infra Assistant. This is a chat interface that enables users to interact with their infrastructure in natural language, providing visibility into configuration, compliance, and operational status without needing specialist skills. Margaret Lee, Manager of Product Management for Perforce Puppet, highlighted the role of natural language AI: "Puppet has a trove of data to help customers make smarter decisions, but we haven't previously had the means to make it readily accessible for Puppet stakeholders or adjacent teams – like security and development teams - who would really benefit from it. Natural language AI unlocked this potential." "Teams can quickly and easily understand what's happening, make meaningful decisions, and take action to align with their desired business outcomes. Early customers have responded very positively, with one noting that a task that used to take three hours now takes seconds with Puppet Infra Assistant." Perforce Puppet is positioned as an infrastructure automation solution designed to streamline operations, improve security and compliance, and enhance visibility across varying infrastructure environments. For software diagramming, Gliffy, Perforce's diagramming platform for Confluence, now incorporates AI to accelerate the creation of sequence and class diagrams, with the company stating this makes the process three times faster and helps teams represent complex concepts more efficiently. Looking ahead, Perforce outlined several upgrades planned for 2025 as part of the broader Perforce Intelligence roadmap. These include advances for creative workflow acceleration, the provision of compliant and masked data for AI and machine learning projects, maintenance-free testing automation approaches that remove legacy scripting, and agent-to-agent orchestration for infrastructure change management and ongoing compliance.
Techday NZ
24-04-2025
- Business
- Techday NZ
Perforce launches upgraded Puppet to cut cyber risk downtime
Perforce Software has released an updated version of its Puppet Enterprise Advanced platform, targeting faster vulnerability remediation and improved collaboration between infrastructure and security teams. The platform update arrives amid growing concerns over rapidly evolving cyber threats, attributed in part to the increased use of artificial intelligence in attack methodologies. Recent figures from Statista indicate that vulnerabilities in software systems now persist for an average of 229 days before remediation, heightening the risk to organisations and their customers. This delay has been exacerbated by challenges such as rapid infrastructural scaling, inefficient operations, and a global shortage of skilled cyber professionals. Perforce states that the new features in Puppet Enterprise Advanced will help businesses address security risks more swiftly by embedding remediation processes directly within infrastructure automation workflows. This approach is intended to break down silos between operations and security, allowing for a more integrated understanding of organisations' overall security posture while reducing manual cross-team handoff delays. "Vulnerabilities continue to increase, with around 40,000 known vulnerabilities in 2024. Because of this explosion in vulnerabilities, the mean time to remediate continues to increase, leaving companies extremely vulnerable to attacks. Enterprises must combat this by integrating security with infrastructure automation to shorten the vulnerability remediation cycle," said Tzvika Shahaf, Vice President of Product Management at Perforce. "Our new release empowers organizations to unlock a collaborative DevSecOps environment by shrinking the opportunity window for attackers. In future Puppet releases, the pace will quicken further with human-in-the-loop, AI-driven automation." The updated platform features several enhancements designed to streamline responses to identified security threats. Integration with security scanners, with Tenable Nessus included by default, enables automated identification and remediation of vulnerabilities. The platform's open API framework and extensible architecture allow additional scanners to be incorporated, increasing flexibility for organisations with diverse environments. Users of Puppet Enterprise Advanced can now manage patching workflows from within the tool's graphical user interface. Additional support for maintenance and blackout scheduling is included, aimed at minimising disruption to normal business operations. Enhanced dynamic patching group capabilities are designed to improve efficiency in managing hybrid infrastructures commonly found in enterprise settings. The platform enforces continuous alignment of system configurations with established security policies through its desired state enforcement feature. Any deviation from policy triggers an automatic remediation process and generates necessary documentation for audit purposes, a capability expected to assist organisations in maintaining regulatory compliance. Another enhancement is the pre-built, reusable policy as code (PaC) modules, which ensure systems automatically remain in line with industry-standard security baselines. These modules can be updated as best practices evolve, reducing the manual effort required from in-house teams. Self-service workflows and increased cross-functional visibility are intended to improve collaboration between traditionally siloed operations and security teams. These features are designed to help decrease the mean time to remediate vulnerabilities, decrease operational risk, and improve cost efficiency for organisations seeking to manage increasingly complex technology estates. Perforce reports that its approach allows platform teams to better support security teams, thereby boosting resiliency and reducing the mean time to remediate vulnerabilities. According to the company, these capabilities enable risk reduction, process efficiency gains, and savings on operational costs through automation and improved collaboration.
Associated Press
11-03-2025
- Automotive
- Associated Press
Perforce's 2025 Automotive Report: Code Quality and Safety Drive AI Vehicle Development
Survey of 650 automotive development professionals finds quality and compliance are key to developing safe and secure autonomous vehicles with AI-driven design. MINNEAPOLIS, March 11, 2025 /PRNewswire/ -- Perforce Software, the DevOps company for global teams requiring speed, quality, security, and governance at scale along the development lifecycle, announces the release of the 2025 State of Automotive Software Development Report. This year's findings highlighted an uptick in the use of AI, continued challenges around code complexity, and a larger emphasis on safety than security. Safety was the top concern in AI vehicle development for 49% of respondents, so teams who are guided by functional safety standards need to employ additional considerations when using AI, as the algorithms tend to be non-deterministic. 'Automotive software development is becoming more dependent on AI systems, but the software must still be developed, deployed, and maintained with safety in mind,' said Perforce Director of Compliance Jill Britton. 'AI systems bring additional challenges to achieving functional safety and to provide guidance, new and updated standards are emerging for their use in safety-critical applications.' AI is driving autonomous vehicle design for 42% of automotive professionals (up 9% from last year) and is affecting at least some components in connected vehicles (41%). Advanced Driver Assistance Systems (ADAS) were the leading components with AI/ML applications, alongside In-Vehicle Infotainment (IVI) systems and Light Detection and Ranging (LiDAR) components. In the previous report, security rose as a concern over safety, but with the rapid introduction of AI/ML in connected and autonomous vehicle development and design, safety is once again of higher concern in 2025. Automotive software professionals are increasingly aware that maintaining high-quality code contributes to both the safety and security of the software system. But the complexity of the code base can make producing quality code challenging, especially for engineers with less than three years of experience: 57% of respondents with less than one year and 45% with one to three years expressed code complexity as their top concern; as opposed to those with more than five years (37%) who cited testing resources as their top quality concern. While wider market conditions and challenges like the global economy and remaining competitive are driving most organizations, a consistent trend throughout the report showed an emphasis on maximizing existing resources (49%) and educating existing talent (42%). Developers are turning to static analysis tools to manage complex code bases, ensuring compliance with industry standards like MISRA and ISO 21434. The report found that 30% of teams prioritize software quality improvements through static analysis, version control, and continuous testing tools. Other notable findings include: 86% are using at least one coding standard, which is important for code quality. 53% use static analysis/SAST tools, with 30% citing the primary reason as improving software quality. 89% are required to track code quality metrics to reduce errors — an increase of 12%. EV software development is stabilizing, with 47% working extensively on EV systems. AI-driven development is growing, with 71% adopting ISO/DPAS 8800 for AI functional safety assurance. As regulations evolve, proving compliance with functional safety and security standards is more critical than ever. The anticipated release of MISRA C:2025 will impact 53% of automotive developers, highlighting the need for robust software quality and compliance tools. The annual study, conducted in collaboration with Automotive IQ and the Eclipse Foundation, delivers exclusive research on the current challenges of developing safe and secure automotive software in increasingly connected and autonomous vehicle systems. . About Perforce The best run DevOps teams in the world choose Perforce. Perforce's suite of products are purpose-built to develop, build and maintain high-stakes applications. Companies can finally manage complexity, achieve speed without compromise, and run their DevOps toolchains with full integrity. With a global footprint spanning more than 80 countries and including over 75% of the Fortune 100, Perforce is trusted by the world's leading brands to deliver solutions to even the toughest challenges. Accelerate technology delivery, with no shortcuts. Power Innovation with Perforce. Media Contact Ph: +44 118 328 0180
