Latest news with #Cycode


Techday NZ
23-06-2025
- Business
- Techday NZ
Agentic AI transforms business operations with enhanced oversight
The integration of agentic artificial intelligence (AI) into business operations is gaining significant momentum across industries, with new research, commentary, and product announcements underscoring both the promise and complexities of these advanced technologies. Matt Johnson, Managing Director for AI & Data at Temus, outlined the evolving landscape of AI agents, noting an industry-wide shift from rudimentary AI interactions towards more advanced, contextually aware systems. "We're witnessing a significant shift in how AI agents are being deployed across industries. The most successful implementations go far beyond basic prompting," Johnson observed. He highlighted the application of sophisticated techniques such as automated reprompting, parameter-efficient fine-tuning, and reinforcement learning, which allow agents to learn from their environments and incorporate expert knowledge. Johnson emphasised that data remains the critical foundation for agentic AI. He noted, "Companies are now realising they need deliberate strategies to acquire and structure this expert knowledge – it's become a competitive differentiator." In sectors such as healthcare and financial services, he asserted, the inclusion of human-in-the-loop workflows is not optional but essential, with the best AI systems augmenting human expertise rather than replacing it. The software development sector, according to Johnson, has provided one of the most compelling success stories, with AI tools such as Claude Code assisting developers by providing contextual suggestions and even autonomously generating code, all while preserving human oversight. This reflects a broader trend, with organisations increasingly viewing AI agents not as autonomous replacements for professionals, but as tools to enhance productivity and decision-making. In the domain of cybersecurity, a new study from Cycode, presented at the RSA Conference 2025, illuminated how agentic AI is reshaping application security practices. The survey found that while 60% of cybersecurity professionals remain in early stages of adoption, those organisations that have embraced agentic AI report notable productivity gains and reduced risks in development and security workflows. Amir Kazemi, Director of Product Marketing at Cycode, observed, "Many interpretations and modalities of 'agent' exist, from simple chatbots to complex workflow automations to true autonomous agents. Our data underscores that educating the market on what agentic AI truly is, why it matters for AppSec, and its tangible value is paramount right now." The Cycode research illustrated growing interest, with almost 50% of surveyed professionals planning to adopt agentic AI in the coming year. Yet, concerns remain about granting AI systems autonomy, with businesses taking a measured approach to integrating these tools. The study identified key opportunities: 44% of professionals believe agentic AI will improve vulnerability management, while 52% see significant value in using AI-driven security checks at the code commit stage. The perceived widening gap between application security and development resources, with some teams managing ratios as high as one security specialist per 1,000 developers, exemplifies the mounting pressure on teams that agentic AI could help alleviate. Financial services are also experiencing AI-driven transformation, as demonstrated by the launch of GTreasury's GSmart AI platform, designed specifically for treasury and finance operations. The platform aims to deliver efficiencies and transparent insights for CFOs and treasury professionals facing complex market and regulatory conditions. GTreasury CEO Renaat Ver Eecke stressed the necessity for AI in finance to prioritise security, compliance, and rapid problem-solving. "GSmart AI... empowers CFOs and treasury teams to confidently take advantage of powerful insights and value without sacrificing compliance or oversight," Ver Eecke stated. The platform provides automated analysis, risk identification, and strategic recommendations, all while ensuring auditability and governance. Mark Johnson, Chief Product Officer at GTreasury, added that GSmart AI is distinguished by its transparency and data sovereignty features, supporting rigorous standards and regulatory requirements. These developments signal that agentic AI, when combined with robust data strategies and clear boundaries for human oversight, is rapidly becoming integral to modern workflows. Whether in software development, cybersecurity, or treasury operations, organisations are increasingly seeking to leverage the unique capabilities of these AI agents to enhance human judgement, streamline complex tasks, and maintain compliance in a rapidly evolving technological landscape.


Techday NZ
18-06-2025
- Business
- Techday NZ
Agentic AI adoption in application security sees cautious growth
A new study conducted by Cycode has revealed changing attitudes towards the use of agentic artificial intelligence (AI) within application security, indicating both cautious uptake and notable benefits among early adopters. The survey, compiled from respondents at RSA Conference 2025, found that 60% of cybersecurity professionals are still at the early stages of adopting agentic AI, while those who have begun implementation are already reporting tangible improvements in productivity and risk mitigation. Adoption and anticipated growth The study highlights a considerable proportion of the market preparing for broader adoption, with nearly 50% of respondents planning to integrate agentic AI tools within the next year. The incremental approach taken by organisations reflects a degree of caution, particularly around the concept of granting AI systems the autonomy to make decisions independently. This hesitancy is attributed to organisations seeking to adapt their security practices to rapidly evolving development requirements while weighing the associated risks and benefits of such technology. The research points out that as awareness of agentic AI's capability within application security grows, the focus on educating the market about both its advantages and potential risks becomes more pronounced. The report suggests that clear communication around these factors may help overcome reservations among organisations still in the initial phase of AI adoption. Impact on workflows and team dynamics The survey results illustrate the impact agentic AI could have on software development pipelines. Thirty percent of respondents believe integrating agentic AI into continuous integration and continuous deployment (CI/CD) pipelines would significantly enhance the process. The increased speed and frequency of code deployment-termed "vibe coding" in industry parlance-has led to faster development cycles. This acceleration does not necessarily alter the ratio of application security personnel to developers, but it can create the impression of a widening gap, with security teams struggling to keep up. The data indicates that whilst 45% of respondents maintain a 1:50 to 1:100 application security-to-developer ratio, 26% report a much wider 1:500 to 1:1000 ratio. This imbalance places considerable strain on security professionals who are responsible for oversight, with survey findings indicating that agentic AI solutions have the potential to alleviate these pressures. Agentic AI capabilities in practice Key findings from the survey reveal varied perceptions on the utility of agentic AI for security teams. Forty-four percent of those surveyed believe agentic AI's greatest benefit lies in supporting the identification, prioritisation, and remediation of vulnerabilities. Another 38% believe these systems will enhance application security testing (AST), highlighting the perceived value of collaboration between AI and human teams to streamline key security operations. More than half (52%) of respondents agreed that, when integrated with AST tools, agentic AI's use of pre-commit hooks effectively sustains security checks during code commits, transforming what were previously overwhelming manual tasks into manageable automated processes. In addition, 44% of cybersecurity professionals highlighted the value of agentic AI in streamlining and enhancing secrets detection to help prevent data leaks, with many pointing to the importance of context-aware decision-making capabilities for the effectiveness of such solutions. Industry commentary Amir Kazemi, Director of Product Marketing at Cycode, commented on the findings: "It's fascinating to follow the industry's measured, yet rapid adoption to Agentic AI. Many interpretations and modalities of 'agent' exist, from simple chatbots to complex workflow automations to true autonomous agents. Our data underscores that educating the market on what agentic AI truly is, why it matters for AppSec, and its tangible value is paramount right now. Cycode is committed to leading this charge, empowering security teams and developers the ability to sense, reason, and act with context through agentic AI solutions." Cycode's latest research also notes the company's continued work in this area, including its agentic AI framework, which aims to support developers and security staff through autonomous AI teammates and context-aware remediation capabilities.