cell size limit 8kb
The character limit for text in a single cell is 8,000 characters, not 8kb. Additionally, the size limit for a single cell in an action column is 200kb.
If you exceed these limits, you can split data into smaller chunks, summarize content, or use formulas to split content across multiple cells.
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[
{
"vendor": "AppOmni",
"update": "Summary\nAppOmni is an enterprise SaaS security platform that provides continuous visibility, configuration/posture management, threat detection, and automated compliance across critical SaaS applications such as Microsoft 365, Salesforce, and Google Workspace. The company emphasizes protecting data and securing AI features at scale—finding shadow SaaS, enforcing Zero Trust, detecting AI-specific threats, and offering an AI assistant (AskOmni)—and is presented as trusted by large enterprises and recognized by industry (Frost Radar). Why It Matters\n1) Operational Impact – We can centralize SaaS security operations across M365, Salesforce, Google Workspace, and others to continuously monitor posture, detect threats (including AI misuse), automate compliance evidence, and quickly remediate risky configs and shadow SaaS access—reducing manual checks and audit prep time.\n2) Strategic Implication – Standardizing on AppOmni strengthens our Zero Trust strategy for SaaS, closes the AI governance gap with lifecycle security and assistant-driven response, and consolidates tooling with a vendor validated by large enterprises and Frost Radar—lowering risk while aligning our roadmap to scalable, AI-aware SaaS security."
},
{
"vendor": "Arista Networks",
"update": "Summary\n\nArista Networks announced the R4 Series family of routers on October 29, 2025, targeting AI, data center, and routed backbone deployments and introducing a 3.2 Tbps "HyperPort" interconnect alongside dense 800 GbE platforms. The R4 line emphasizes high port density (the 7800R4 supports up to 576×800GbE), wirespeed TunnelSec encryption on every port, a full suite of EOS L3 features (EVPN, VXLAN, MPLS, SR/SRv6), and staged availability with several systems shipping now and HyperPort-equipped systems slated for Q1 2026. Why It Matters\n1) Operational Impact – We can consolidate AI spine, DCI, and backbone roles onto a single EOS-based platform with dense 800GbE and per-port wirespeed TunnelSec, simplifying buildouts and enabling encrypted-by-default interconnects without throughput penalties; HyperPort gives us a single 3.2 Tbps link option for cleaner scale-across and lower job completion times.\n2) Strategic Implication – Standardizing on R4 positions us for SR/SRv6, EVPN/VXLAN, and MPLS convergence across DC and WAN, reduces multi-vendor integration risk, and staggers spend with systems shipping now while planning for HyperPort-capable refreshes in Q1 2026 to support AI growth and encrypted DCI by design."
},
{
"vendor": "Bitsight",
"update": "Summary\nBitsight announced the launch of the Bitsight Cyber Risk Command Center on Oct. 30, 2025 — a dashboard that unifies external attack-surface insights across third- and fourth-party providers, threat intelligence, governance, and exposure into a single pane of glass to help CISOs and security teams act faster. The release states the capability is available now for all customers, highlights time savings and faster response (citing up to a 75% reduction in mean time to respond for customers), and notes future releases will add advanced reporting and CISO-level dashboards. Why It Matters\n1. Operational Impact – We can consolidate third- and fourth-party exposure, threat intel, and governance metrics into one dashboard, cutting swivel-chair analysis and accelerating triage; if the cited 75% MTTR reduction holds, we can reallocate analyst time to proactive remediation and tighten incident playbooks.\n2. Strategic Implication – A unified external attack-surface view strengthens vendor risk oversight and gives us an enterprise risk baseline to drive board reporting; adopting this now positions us for upcoming advanced reporting and CISO-level dashboards, reducing our need for multiple point tools and improving long-term risk posture and spend efficiency."
},
{
"vendor": "Check Point",
"update": "Summary\nCheck Point reported strong third-quarter 2025 results, with calculated billings of $672 million (up 20% YoY), total revenues of $678 million (up 7% YoY), and security subscriptions revenue of $305 million (up 10% YoY). GAAP EPS was $3.28 and non-GAAP EPS was $3.94 (year-over-year increases of 79% and 75%, respectively); the company closed its acquisition of Lakera on October 22, 2025, held cash and equivalents of $2.817 billion, and repurchased approximately 1.6 million shares for about $325 million. Management attributed the performance to increased demand for offerings including Hybrid-Mesh-Network, Workspace, and External Risk Management (ERM). Why It Matters\n1. Operational Impact – With subscriptions and billings accelerating, Check Point is likely to invest more in Hybrid-Mesh, Workspace, and ERM capabilities we already use; we should plan for feature rollouts, tighter integrations, and potential policy updates to leverage new prevention and AI controls from the Lakera acquisition while ensuring change windows and regression testing are in place.\n2. Strategic Implication – The strong profitability, cash position, and continued buybacks suggest vendor stability; we can justify consolidating overlapping point tools into Check Point's portfolio to reduce management overhead and third-party attack surface, while negotiating multi-year pricing and roadmap commitments around AI-driven detection, SASE/mesh expansion, and external risk visibility."
},
{
"vendor": "Cloudflare",
"update": "Summary\nCloudflare's press releases index lists a sequence of 2025 announcements covering product launches (including Cloudflare for AI and developer/agent tooling), strategic partnerships and expansions, financial results and capital markets activity, and initiatives around privacy, security, and AI governance. The page aggregates short titles and dates for each release and links to full press release pages for details. Why It Matters\n1. Operational Impact – We should plan for tighter integration of Zero Trust, WAF, threat intel, and new AI controls (crawler governance, content credentials, and "Cloudflare for AI") into our edge and developer workflows; network and app teams will need to update policies for AI agents, cross-cloud connectivity (Workers VPC/Private Link), and enhanced logging/forensics.\n2. Strategic Implication – Cloudflare's 2025 roadmap signals a consolidated platform for AI-era security and networking, plus expanding channel and hyperscaler ties (Oracle, MTN, TD SYNNEX, Rakuten) that could reduce vendor sprawl; we should reassess our vendor strategy, budget for potential cost/contract shifts (convertible notes, new business models like "NET Dollar"), and align governance to privacy and public-sector certifications to lower risk and accelerate compliant AI adoption."
},
{
"vendor": "Cribl",
"update": "Summary\nAt CriblCon 2025, Cribl positioned its Data Engine as foundational infrastructure for an \"agentic AI\" era and announced new capabilities—most notably Cribl Guard (real-time sensitive-data detection and masking), Notebooks (a collaborative investigation workspace), Cribl as Code (APIs and a Terraform provider), and a FinOps Center—while noting FedRAMP In Process status. The analyst frames Cribl's vendor-neutral, customer-first strategy as a strong differentiator for organizations seeking choice and cost control, but cautions that maintaining customer satisfaction and balancing investment between its flagship Stream product and new analytics offerings will be critical as the company scales. Why It Matters\n1. Operational Impact – We can tighten data governance and incident response by routing telemetry through Cribl Guard to auto-detect/mask sensitive data in real time, use Notebooks as a shared investigation workspace to speed triage, and standardize deployments via Cribl as Code for repeatable, auditable changes—while the FinOps Center gives us granular spend controls to prevent ingest/query overruns.\n2. Strategic Implication – Cribl's vendor-neutral data engine lets us decouple data collection from downstream analytics/SIEM choices, preserving leverage and cost control as we pilot agentic AI use cases; FedRAMP In Process signals a viable path for regulated workloads, but we must monitor execution risk as Cribl balances investment between Stream and newer analytics features to ensure stability and sustained customer satisfaction at scale."
},
{
"vendor": "CrowdStrike",
"update": "Summary\nCrowdStrike announced on October 28, 2025 a collaboration with NVIDIA to deliver always-on, continuously learning AI cybersecurity agents built with CrowdStrike's Charlotte AI AgentWorks and NVIDIA technologies (Nemotron, NeMo Data Designer, NeMo Agent Toolkit, and NIM microservices) to provide real-time detection and response across cloud, data-center, and edge environments. The partnership integrates CrowdStrike's Agentic Security Platform (including Falcon LogScale, Onum, and Pangea) with NVIDIA accelerated computing and reference designs to enable local inference, continuous learning, edge-first defenses, and governance aimed at critical infrastructure and regulated/high-assurance organizations. Why It Matters\n1. Operational Impact – We can deploy edge-first, always-on AI agents that run inference locally on NVIDIA-accelerated infrastructure, cutting dwell time with real-time detection/response and reducing reliance on sending sensitive telemetry to the cloud; teams will integrate Falcon LogScale/Onum/Pangea pipelines to continuously train and govern agents within enterprise guardrails.\n2. Strategic Implication – This positions us to standardize on an agentic security architecture using CrowdStrike + NVIDIA reference designs, improving resilience for regulated and critical environments while de-risking sovereignty and data residency; it also shapes our vendor roadmap toward GPU-enabled SOC modernization and continuous-learning defenses that lower total risk over time."
},
{
"vendor": "CyberArk",
"update": "Summary\nCyberArk appointed Omer Grossman as Chief Trust Officer and Head of the CYBR Unit and named Ariel Pisetzky as Chief Information Officer. Grossman's new role — after joining CyberArk as CIO in 2022 — will focus on fostering trust among customers, partners and CISO/CIO communities and overseeing the CYBR Unit's advisory, adversary simulation, incident response and cybersecurity research activities. Pisetzky, a veteran IT leader most recently VP of IT & Cyber at Taboola, will lead IT engineering, operations, business applications, data & AI and security, and CEO Matt Cohen said the appointments will drive innovation, trust and operational excellence. Why It Matters\n1. Operational Impact – With a dedicated Chief Trust Officer overseeing advisory, adversary simulation, IR, and research, we can expect tighter alignment between CyberArk's product guidance and hands-on defensive practices, improving how we implement and validate privileged access controls. The new CIO's remit across IT, data/AI, and security suggests smoother integrations, faster fixes, and clearer runbooks for identity security deployments across hybrid environments.\n\n2. Strategic Implication – CyberArk's elevation of trust and the CYBR Unit signals a shift toward outcome-driven identity security services, which can reduce deployment risk and accelerate our roadmap for PAM, secrets, and identity threat detection. Consolidated leadership implies steadier product direction and service maturity—useful for multi-year vendor strategy, board-level assurance, and measurable reductions in identity-related breach exposure."
}
]this array will be longer than this so I need to figure out how to infuse it in a table such that the Claygent can read through the array above... right now this has 8 vendor entries. We are working towards having 40 vendor entries.
Use our "write to table" feature to convert your array into individual rows. First, add a column containing your vendor array. Then use Write to Other Table to map each vendor object to separate rows in a new table. [1]
Steps:
Select your Clay account
Choose destination table (create new or existing)
Select the column with your vendor array
Map vendor properties (vendor, update) to table columns
Configure auto-update if needed [2]
This splits each of the 40 vendor entries into individual rows, making them easily readable by Claygent for processing. You can also parse arrays into existing tables and specify which objects to write while mapping them to appropriate columns. [3]
Did that answer your question?
No, because the reason that wouldn't work is that the Claygent won't be able to loop through all 40 vendors if I do a write to table.
I understand your concern and will connect you with a human agent who can assist further. Thank you for your patience.
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Hey Willy - I understand you are reaching the cell size data limit currently - What action are you pulling these in from?
Haha it’s a bit complicated
I was using sculptor to create the array
then copy and pasting
