ThreatLocker is a Zero Trust Platform that prevents cyber threats by blocking unknown applications, enforcing least privilege, and controlling what can run across your environment. Using Allowlisting, Ringfencing, Network Control, and more, ThreatLocker stops ransomware, zero-day attacks, and unauthorized activity before execution, rather than relying on detection after the fact.
Built for modern IT and cybersecurity teams, the platform delivers centralized visibility and policy management across endpoints, users, and applications. ThreatLocker reduces attack surface, limits lateral movement, and supports compliance with detailed audit logs. With fast deployment, a large built-in application library, and streamlined approvals, organizations can strengthen security while minimizing operational overhead and maintaining business continuity.
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FinOpsly is an AI Cost Governance platform. It brings AI, cloud, data platform and SaaS spend into one attribution, policy and control layer, so enterprises can price a workload before building it, attribute every dollar to an owner, hold spend inside budget under policy, and prove what landed in run-rate.
Your AI invoice is not what your AI costs. One request draws on model tokens, retrieval, warehouse queries, GPU capacity and storage, and only the first shows up on the AI bill. FinOpsly resolves all of it, plus the seats in procurement and the compute in an untagged cloud account, to the same dimensions: owner, team, application, line of business, customer and tenant. An AI initiative's full cost becomes one figure, charged back through one hierarchy in one cycle.
Workforce AI is the tools employees use: seats and per-user token draw across GitHub Copilot, Cursor, ChatGPT Enterprise and Microsoft 365 Copilot. Application AI is the AI your product ships: tokens, compute and data joined into cost-to-serve across OpenAI, Anthropic, Bedrock, Azure OpenAI, Vertex AI, SageMaker and Databricks.
PLAN. Price a workload from its architecture before any resource exists, across model APIs, GPU capacity, data platform consumption and storage, with assumptions visible. Compare it across candidate models on your measured usage.
EXPLAIN. Attribute spend to owner, team, application, line of business and business unit across 9+ hierarchy levels. Unified tagging reconciles providers that tag inconsistently, and AI-driven bulk labeling closes large key estates. Unattributed spend is reported in dollars.
ACT. Budgets per project, team and API key, with daily burn-rate monitoring. Anomaly detection with root cause, routed to the owner. Waste detection using FinOpsly's own algorithms and ML models. Commitment planning across AWS, Azure and Google Cloud. Policy-driven parking of idle compute.
PROVE. Chargeback across AI, cloud, data and SaaS in one cycle. Realized savings tracked into run-rate against a no-action baseline. Cost per call, cost per active user, and cost-to-serve per customer and tenant.
proof: 100% attribution of AI spend; chargeback from 12.4 days to under one day across 9+ levels; 26% realized savings in AWS and 17%+ in Azure at a payments client.
Built for CIOs, CTOs and platform leaders accountable for technology spend, FinOps and finance teams running chargeback, and engineering teams who need cost signal before they decide
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AdLib DSP
AdLib is the premium DSP for everyone. Reach your audience on the world’s most popular sites, apps, and streaming platforms. No Contracts. No Minimums.
Most marketers struggle to access premium programmatic advertising platforms because of high barriers to entry and complexities that demand a lot of your time and resources.
AdLib removes those barriers and complexities allowing you to easily set up and launch successful programmatic campaigns at scale across all channels.
Why AdLib? Manage More Campaigns, Drive Better Outcomes, And Spend Less Time Doing It All!
- A Simple Self Service DSP That Anyone Can Use
- No Annual Contracts Or Commitments
- Magic Ad Builder For Clean, Modern, & Authentic Ads
- 24/7 Access To Transparent & Deep Insights
- Always-On Brand, Privacy, & Fraud Controls
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