CyberArk vs Modal
Side-by-side comparison of AI visibility scores, market position, and capabilities
$1.001B revenue 2024 (record); Q2 2025 $328M (+46% YoY); $1.274B ARR Q2 2025 (+47% YoY); 10,000+ clients; $221M free cash flow 2024 (22% margin); acquired Zilla adding 125 customers; IAM market $15.93B 2022 to $41.52B 2030
About
CyberArk is a cybersecurity company founded in 1999 and headquartered in Newton, Massachusetts, with R&D operations in Petah Tikva, Israel, that created the privileged access management (PAM) category and remains its global leader. The company was founded by Udi Mokady and Alon Cohen on the insight that attackers who compromise privileged credentials — the administrative accounts that control infrastructure, databases, and applications — can cause catastrophic damage that perimeter security alone cannot prevent. CyberArk's mission is to secure the identities most at risk: the privileged human accounts and machine identities that represent the highest-value targets in any enterprise environment. The company trades on Nasdaq under the ticker CYBR.\n\nCyberArk's Identity Security Platform encompasses privileged access management, secrets management, endpoint privilege security, identity governance, and workforce and customer identity access management. Its PAM portfolio includes the CyberArk Privileged Access Manager (vault-based credential management), Conjur (secrets management for DevOps and cloud-native environments), Endpoint Privilege Manager, and the CyberArk Identity platform for workforce SSO and MFA. Following the 2024 acquisition of Venafi, CyberArk added machine identity management to its portfolio, extending its coverage to TLS certificates, code signing, and workload identities — the fastest-growing attack surface in modern enterprise environments.\n\nCyberArk reported $1.001 billion in revenue for 2024, becoming the first pure-play identity security company to cross the billion-dollar revenue threshold. In Q2 2025, the company reported $328 million in revenue (+46% YoY) and $1.274 billion in annual recurring revenue (+47% YoY), with 10,000+ clients globally. Its privileged access heritage, expanding identity security platform, and the Venafi machine identity acquisition position CyberArk as the broadest and fastest-growing platform in the identity security market — a category that has become central to enterprise cybersecurity strategy following high-profile credential-based breaches.
Serverless GPU cloud platform for AI/ML with Python-native deployment and per-second billing; developer-favorite scaling from zero competing with Replicate and Beam for AI compute.
About
Modal is a serverless cloud computing platform purpose-built for AI and machine learning workloads — providing on-demand GPU compute that scales instantly from zero with per-second billing, container management, distributed training support, and a Python-native developer experience that makes running ML workloads in the cloud feel as simple as running code locally. Founded in 2021 in New York City and backed by Redpoint Ventures and other investors, Modal has grown rapidly as AI development has accelerated demand for flexible, developer-friendly GPU infrastructure.\n\nModal's developer experience is its primary differentiator — engineers write Python functions decorated with @modal.function() and deploy them to the cloud with a single command, with Modal handling container building, GPU provisioning, auto-scaling, and execution. The platform supports training jobs that need distributed compute across multiple GPUs, model serving endpoints that scale to zero when unused (eliminating idle GPU costs), and batch inference jobs that process large datasets. The per-second billing model means developers pay only for actual compute time, not provisioned instances.\n\nIn 2025, Modal competes in the AI infrastructure market with Replicate, Beam, Banana, and major cloud providers' managed ML services (AWS SageMaker, Google Vertex AI, Azure ML) for serverless GPU compute. The market for AI-specific cloud infrastructure has grown dramatically as the number of ML engineers deploying models to production has expanded — traditional cloud providers require significant DevOps expertise to use GPU instances effectively, while Modal's Python-native approach reduces the barrier to entry. Modal has attracted a strong developer following among AI researchers and ML engineers building production AI applications. The 2025 strategy focuses on growing the developer community, adding enterprise features (dedicated GPU capacity, private networking, compliance), and expanding the hardware options available (H100 GPUs, custom accelerators).
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