Questions CISOs ask
in the first meeting.

Gradient is the AI factory for security teams. It offers secure, production-grade AI agents across SOC, GRC, vulnerability management, identity and more, that your team can plug in as-is, customize to your workflows, or use as a foundation to build your own. People set intent and approve; agents do the work - so your team can detect, decide, and respond at machine speed.

Point solutions give you one tool per problem and no view of your program as a whole. Gradient is one platform with many agents, all grounded in the same business context and customized to your needs - so you consolidate tools instead of adding another console.

Anyone can demo an agent - four things break the ones you build alone: quality, performance, scale, and security. Gradient's agents verify with deterministic checks where a raw LLM guesses, invoke the model only where judgment adds value, run across large environments without quietly breaking, and are sandboxed with least-privilege access. And if you do want to build, your team builds on the same secure harness our agents run on - you're just not building the infrastructure.

Services are slow, and their value caps at headcount. Gradient agents plug in and run at machine speed, at a fixed, predictable price - and while you own your agents, we own the platform and their upkeep, so nothing is orphaned when someone leaves.

No - agents run continuously in the background. Routine tasks run end-to-end; higher-stakes actions pause for your approval. You set the policy for when an agent acts on its own and when it checks back with you.

Four stages. Scoping: we pick the first use case, define success metrics, and match it to ready-made agents or scope a custom build. POV: about two weeks from access, the agent runs in your environment on live data, with humans in the loop, measured against the agreed metrics. Commercials: once you've seen it work. Scale: guardrails enforced, every action audited, and more ready-made agents added - or built by your team. The first agent builds the foundation; every one after it lands faster.

A proof of value runs in your environment about two weeks from access, on your live data.

Any LLM - open-source or frontier. The platform picks the right model for each task and uses the smallest model that fits, which keeps quality high and cost predictable. You can also bring your own models.

The LLM is never the security boundary. The boundary lives outside the model as deterministic controls it cannot bypass, regardless of what it decides: capability decomposition, deterministic playbooks, input sanitization and data masking, dual-LLM privilege separation, a policy-bound tool broker, egress control with ephemeral sandboxes, and continuous assurance. All seven must fail before an injection becomes a security event.

Agents are sandboxed and run with tightly scoped, least-privilege tool access - they can only touch the systems and actions you explicitly approved. The platform enforces hard limits at the connector level, so an agent cannot read or write outside its scope. Higher-stakes actions go to an approval queue, and every action is audited. When you trust an agent's judgment on a specific class of action, you opt it into auto-execute.

Gradient connects to the tools your team already uses - across endpoint, identity, SIEM, ticketing, code, cloud, vulnerability, and compliance evidence systems. No migration: if your team uses it, the agents connect to it.

Yes. SOC 2 by default. The platform is built for the same controls your auditors are already going to ask about - change management, access reviews, audit logging, encryption at rest and in transit.

We run evaluations on your data so each agent performs well in your environment - that stays private to you and is never shared. Training on your data is opt-in; if you'd rather we didn't, we won't. Anything that ever feeds shared model improvement is anonymized first - identities, asset names, and configurations stripped. You own your raw data and the agent configurations built for you, and you can request deletion at any time.

Our cloud or yours - on any LLM. Depending on what matters most to you, that can mean a dedicated isolated tenant in our cloud, bring-your-own-key encryption so your data stays under your control, or running inside your own cloud. No customer data leaves the perimeter you choose unless you explicitly allow it.

No lock-in - the Gradient platform supports exporting your agents, so they can be migrated to another orchestration platform or environment of your choice. What you built stays yours: your data, configurations, and agent workflows move with you. Gradient's platform and core technology remain ours.

Ready-made agents have a fixed, predictable price per agent - we absorb the tokens, so there are no runaway token bills. If your team builds its own agents on Gradient, you buy a bundle of Gradient tokens and spend them on whatever you build. For large enterprises that want agents built for them, we offer fixed-price custom build programs.

Yes. We scope the first use case together, deploy the agent in your environment, and run it on your live data with humans in the loop - measured against success metrics agreed up front. Commercials come after you've seen it work.