Hacktron registra 125.526 visitas mensais com crescimento de -40,9% mês a mês e preços Freemium, Pago, Preço sob consulta. nOps registra 97.959 visitas mensais com crescimento de +13,8% e preços Usage-based.
Segurança ofensiva nativa de IA: red teaming contínuo, pentests white-box e revisão de PR
nOps is an automated cloud cost optimization platform that combines AI-powered cost visibility with autonomous commitment management. It continuously purchases and rebalances AWS, Azure, and GCP savings commitments to raise your effective savings rate, while giving FinOps, engineering, and finance teams hourly visibility into multicloud, Kubernetes, SaaS, and AI costs.
| Dimensão / Métrica | | |
|---|---|---|
| Domínio oficial | hacktron.ai | nops.io |
| Modelo de preços | Freemium, Pago, Preço sob consulta | Usage-based |
| Visitas mensais | 125,53 mil (125.526) | 97,96 mil (97.959) |
| Variação de tráfego mensal | -86,97 mil (-40,9%) | +11,9 mil (+13,8%) |
| Mercado principal e participação | 🇮🇳 Índia (22,8%) | 🇺🇸 Estados Unidos (52,2%) |
| Visitas diretas / mês | 34,81 mil | 32,03 mil |
| Avaliação dos usuários | 4,4 | 4,4 |
| Plataformas suportadas | Site | Site |
Segurança ofensiva nativa de IA: red teaming contínuo, pentests white-box e revisão de PR
O Hacktron Red ataca sua organização continuamente como um adversário real e mostra o caminho da invasão e como fechá-lo.
O Hacktron Whitebox lê seu código-fonte, comprova cada achado em sandbox ou na aplicação em produção e gera um relatório pronto para auditoria SOC 2 ou ISO 27001.
Cada pull request é analisado com toda a sua base de código como contexto, para detectar problemas antes do merge.
Somente achados com exploração comprovável são reportados, verificados em vez de presumidos.
nOps is an automated cloud cost optimization platform that combines AI-powered cost visibility with autonomous commitment management. It continuously purchases and rebalances AWS, Azure, and GCP savings commitments to raise your effective savings rate, while giving FinOps, engineering, and finance teams hourly visibility into multicloud, Kubernetes, SaaS, and AI costs.
An autonomous engine maps your usage patterns hourly, buys the optimal mix of Reserved Instances, Savings Plans, and committed use discounts, and rebalances continuously to keep discounts high without locking you into long commitments.
See multicloud, Kubernetes, SaaS, and AI spend at hourly granularity, with business context, forecasting, anomaly detection, and unit economics that show what actually drives cost.
Allocate hourly AI spend to the model, account, team, customer, and feature behind it, covering providers such as Amazon Bedrock, OpenAI, Claude, and Cursor, with recommendations for token efficiency, model choice, and caching.
Track Effective Savings Rate, commitment coverage, and realized savings in real time, and route alerts and tasks into tools like Slack, Jira, Datadog, and Snowflake.
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ProjectDiscovery Neo is an AI-driven offensive security platform that continuously maps your external, internal, cloud and code attack surface, replays every finding against the live target to prove exploitability, then opens fix pull requests and regression tests. It is built by the team behind nuclei, subfinder and httpx.
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