Quality
Proven security tools and expert-built evals at every step - our agents verify, where a raw LLM guesses.
AI Transformation for Security Teams
The best in the world at building agents for security.
We build tailor-made AI agents for your security team - deployed and operated by us. Attackers are already using AI; defense needs an AI transformation of its own. We are your partners for the process.
THE MODEL
Your team owns the security program.
We deliver the agents that run it.
Most AI security tools push you a platform and a workflow they wrote. We do the opposite. We sit with your team, characterize the workflows, gaps, and manual work that actually eat your week - and build agents that do that exact work against your stack. Then we keep them running.
You bring
the problem and the systems.
We bring
the agents, the platform under them, and the forward-deployed engineers who keep them running.
HOW IT COMPOUNDS
Every new agent makes the platform stronger.
Each agent inherits the context built by the ones before it - your stack, your data, the patterns your operators trust. The platform compounds. It doesn't start over.
- 01 Phase 1
Prove value
One use case, live in two weeks.
Whatever is most painful - alert triage, vulnerability management, access reviews. We pick it together and ship it together: try before you buy, at a fixed price per use case.
- 02 Phase 2
Scale
Every new agent ships faster than the last.
The second agent inherits what the first one learned about your stack. The third inherits a richer foundation. By your fifth, what used to take weeks takes days.
- 03 Phase 3
Transform
Replace the tools, the manual work, the services.
When the agents are doing the work, the dashboards you bought to look at the work - plus the manual hours, the outsourced services, the offshore queues - all become a budget you redeploy.
Run your security program at the speed of agents.
USE CASES
The work CISOs name in the first meeting.
We ship agents for the workflows your team actually talks about - not for the categories an analyst report draws around them.
Example use cases
Vulnerability exploitation
Validates which CVEs are actually exploitable in your environment - reachability and exploit path analysis on your production code and configuration.
- Proves exploitability against your real code paths, not just the CVSS score.
- Cuts the queue to the fires that matter - the reachable sinks, not every CVE that scrolled by.
- Routes survivors to owners with the context they need to fix them.
FIRES
47 → 5
after reachability analysis
Detection engineering
Tunes detections against your real ticket history, surfaces noisy rules, proposes refinements.
- Translates threat intel into production-ready detection logic.
- Tunes live rules against your data, not generic test sets.
- Tracks the cost and yield of every detection over time.
FALSE-POSITIVE RATE
38% → 6%
rolling 30-day
Alert triage
Enriches every alert with full context before it hits the analyst - verdicts the human, not the queue.
- Same rubric on every alert - tier-1 volume, senior-analyst rigor.
- MITRE-grounded verdicts with falsifiable hypotheses, not vibes.
- Recommended actions tuned to tier-1, VIP, and high-value assets.
VERDICT
MALICIOUS
T1059.001 · T1027
Identity hygiene
Continuous user access reviews, role-mismatch detection, joiner / mover / leaver enforcement across your IdP.
- Continuous access reviews instead of quarterly fire-drills.
- Detects role mismatch the moment someone moves teams.
- Right-sizes entitlements against the access actually used.
OVER-PRIVILEGED
92%
right-sized in pilot
GRC & evidence
Auto-collects evidence for SOC 2 / ISO / FedRAMP. Fills questionnaires from your real controls, not from templates.
- Auto-drafts questionnaire answers from your live posture.
- Continuously collects and timestamps evidence as your environment changes.
- Maps controls across frameworks without rewriting the same answer four times.
CONTROLS COVERED
147 / 147
evidence current
Endpoint lifecycle
Tracks fleet patching over time, prioritizes oldest-stuck devices, nudges users, retires stale machines.
- Patches the long tail your dashboards say is fine but isn't.
- Owns the user-nudge loop so security stops doing IT's email work.
- Retires stale and orphaned devices before audit catches them.
OLDEST UNPATCHED
104d → 6d
after week 2 of the agent
Example use cases
Vulnerability exploitation
FIRES
47 → 5
after reachability analysis
Validates which CVEs are actually exploitable in your environment - reachability and exploit path analysis on your production code and configuration.
- Proves exploitability against your real code paths, not just the CVSS score.
- Cuts the queue to the fires that matter - the reachable sinks, not every CVE that scrolled by.
- Routes survivors to owners with the context they need to fix them.
Detection engineering
FALSE-POSITIVE RATE
38% → 6%
rolling 30-day
Tunes detections against your real ticket history, surfaces noisy rules, proposes refinements.
- Translates threat intel into production-ready detection logic.
- Tunes live rules against your data, not generic test sets.
- Tracks the cost and yield of every detection over time.
Alert triage
VERDICT
MALICIOUS
T1059.001 · T1027
Enriches every alert with full context before it hits the analyst - verdicts the human, not the queue.
- Same rubric on every alert - tier-1 volume, senior-analyst rigor.
- MITRE-grounded verdicts with falsifiable hypotheses, not vibes.
- Recommended actions tuned to tier-1, VIP, and high-value assets.
Identity hygiene
OVER-PRIVILEGED
92%
right-sized in pilot
Continuous user access reviews, role-mismatch detection, joiner / mover / leaver enforcement across your IdP.
- Continuous access reviews instead of quarterly fire-drills.
- Detects role mismatch the moment someone moves teams.
- Right-sizes entitlements against the access actually used.
GRC & evidence
CONTROLS COVERED
147 / 147
evidence current
Auto-collects evidence for SOC 2 / ISO / FedRAMP. Fills questionnaires from your real controls, not from templates.
- Auto-drafts questionnaire answers from your live posture.
- Continuously collects and timestamps evidence as your environment changes.
- Maps controls across frameworks without rewriting the same answer four times.
Endpoint lifecycle
OLDEST UNPATCHED
104d → 6d
after week 2 of the agent
Tracks fleet patching over time, prioritizes oldest-stuck devices, nudges users, retires stale machines.
- Patches the long tail your dashboards say is fine but isn't.
- Owns the user-nudge loop so security stops doing IT's email work.
- Retires stale and orphaned devices before audit catches them.
THE PLATFORM
One agent platform. Four layers. Built for the security stack.
- 01
Building Blocks
The foundation every agent is assembled from.
Deterministic security tools, skills, evals, guardrails, and one integration layer to your stack.
- 02
Knowledge Fabric
Organizational context every agent builds on.
Knowledge graph, RAG, and organizational context that every agent builds on - and contributes back to.
- 03
Learning & Intelligence
Agents that improve from feedback and outcomes.
Each agent improves itself, agents learn from each other, and the platform improves as a whole. Customer data never flows between organizations.
- 04
Experience
Your team directs the fleet.
Collaboration with agents embedded directly in your existing workflows - your team decides what runs autonomously and steers agents in natural language.
WHY GRADIENT
Why Gradient beats DIY agents.
Performance
Pre-defined logic wherever possible, the smallest model that fits - faster runs at a fraction of the cost.
Scale
Enterprise-grade agents that run across large environments and handle the edge cases - where an agent built on a laptop quietly breaks.
Security
Sandboxed agents with least-privilege tools, guarded against prompt injection - humans approve, policy enforces.
Have more questions? The full FAQ →
Reliable agents are a craft. Not a feature flag.
Tell us your most painful security workflow.
Book a 30-minute scoping call - and have a working agent live in your environment in two weeks.