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  • Tech Launch Perspective

    Sep. 25, 2025
    Zoho’s July 2025 product announcements signal a decisive move toward becoming an AI-first enterprise platform, with a particular focus on agentic AI. This report evaluates how Zoho’s ecosystem, including Zia Agents, Zia Agent Studio, and Zia LLM, addresses key enterprise priorities such as workflow orchestration, data governance, low-code adoption, and personalized engagement. The analysis highlights Zoho’s strong alignment with internal interoperability and privacy-first infrastructure, making it relevant for organizations pursuing embedded automation across business functions. While Zoho delivers a tightly integrated experience within its platform, broader enterprise adoption may be limited by ecosystem depth, scalability challenges, and early-stage multilingual capabilities. Everest Group’s analysis underscores Zoho’s differentiation in end-to-end AI infrastructure while also flagging potential areas for improvement. Enterprises evaluating AI-native platforms will benefit from this review’s insights into usability, extensibility, and real-world readiness of Zoho’s agentic AI offerings.
  • Tech Launch Perspective

    Aug. 08, 2025
    Palo Alto Networks’ announcements at the RSA Conference (RSAC) 2025 reflect a strong commitment to AI-driven security and platform unification, offering enterprises enhanced threat detection and posture management. Key updates and launches fall into three strategic pillars: Prisma Access Web Browser 2.0 introduces a SASE-native browser that ensures consistent, policy-based secure access across all devices. It offers real-time gen AI controls and AI-powered protection against phishing, cloaking, and script-based threats. It also includes a built-in password manager for enhanced credential security and ease of use. Prisma AIRS secures the entire AI life cycle by scanning models for vulnerabilities and preventing risks such as tampering. It provides posture management to identify excessive permissions and data exposure across the AI ecosystem. Built-in AI red teaming enables automated testing to uncover potential weaknesses. Additionally, it offers runtime and AI agent security against adversarial threats such as prompt injection, identity impersonation, and memory poisoning. Cortex XSIAM 3.0 unifies proactive and reactive security operations to prevent breaches and enable rapid incident response. It leverages AI for smart exposure management, automatically remediating high-risk vulnerabilities across cloud, network, and endpoints. The platform enhances email security using LLMs to detect and block phishing threats. A centralized data engine powers real-time analytics and automation for faster, more accurate threat handling. These capabilities strengthen Palo Alto Networks’ position as a comprehensive cybersecurity provider. However, clearer guidance on interoperability, scalability, and operationalization will be important for enterprises to fully realize the value of these innovations in diverse environments.
  • Tech Launch Perspective

    June 30, 2025
    In this report, we assess SentinelOne’s evolving cybersecurity portfolio, emphasizing the strategic innovations showcased at the RSA Conference (RSAC) 2025. SentinelOne introduced Purple AI Athena, an agentic AI that autonomously triages, investigates, and remediates security incidents. It also enhanced Singularity Hyperautomation, a no‑code workflow engine that converts analyst actions into reusable playbooks and integrates with third‑party Security Information and Event Management  (SIEMs) and data lakes for a unified security‑operations view. These enhancements aim to tackle persistent Security Operations Center (SOC) challenges by filtering alert noise, expediting investigations, and orchestrating cross‑tool responses at machine speed. SentinelOne also strengthened its multi‑cloud workload‑protection capabilities and highlighted interoperability across containerized and serverless environments. However, the expanded automation features may overlap with established Security Orchestration, Automation, and Response (SOAR) platforms, and large enterprises will scrutinize Purple AI’s explainability and guardrails before adopting autonomous response at scale. SentinelOne’s future roadmaps must clarify integration depth with legacy security stacks and outline a robust AI governance framework.