Cap 1
Agent run with approval gate
Watch the agent plan, research, validate and propose a fix. Nothing executes until an operator approves.
UI · agent plan
Product
Agentic Remediation
Closed-loop agents that research each CVE, validate exploitability in your environment, eliminate false positives and generate the fix, with a human approving every action.
UI · agent run
What it is
Autonomous workflows, not another chatbot
Agentic Remediation takes the manual research, validation and scripting out of vulnerability response. Agents work the queue continuously, show their evidence, and pause for approval before anything changes in your environment.
- Agents research CVEs and vendor advisories, then validate exploitability against your runtime and reachability data
- False positives are closed with evidence; confirmed exposures get a generated remediation script or control change
- Every action waits on human approval and is logged end to end for audit
Capabilities
What Agentic Remediation does
Each tile is a stylized callout of the product UI. Final capability names and screens to come from product.
Cap 2
Research and validation log
Every source consulted and every check run, in plain language.
UI · evidence log
Cap 3
Closed-loop workflow
Detect, validate, fix, verify: one workflow from finding to confirmed closure.
UI · workflow steps
Cap 4
False positives eliminated
Track the share of findings closed as not exploitable, and the hours handed back to the team.
UI · agent outcomes
Works with
Part of one platform
Every product runs on the same exposure graph, so findings, context and actions carry across SKUs.
Also on the platform
Exposure Assessment & Remediation
Unify findings, assess real risk, mitigate and remediate on one exposure graph.
Also on the platform
RemOps
Remediation Operations: de-duplicate, route and track fixes across Security and IT.
Outcomes
What customers measure
Illustrative metrics for layout only. Replace with validated customer outcomes before build.
80%
of validation work handled by agents before a human looks (illustrative)
-70%
mean time to remediate exploitable findings (illustrative)
100%
of changes approved by a human before execution
Customers
Trusted by security teams that ship fixes
“Zafran is tackling vulnerabilities from a hacker's perspective, adding a true layer of risk mitigation through compensating controls.”
Ricardo Lafosse
CISO, Kraft Heinz
“Zafran lets us evaluate the effectiveness and ROI of our security stack against what is actually exploitable.”
Dave Estlick
CISO, Chipotle
FAQ
Agentic Remediation FAQ
What is Agentic Remediation?
A Zafran product in which AI agents autonomously research vulnerabilities, validate whether they are exploitable in your environment, dismiss false positives with evidence and generate remediation scripts, all under human approval.
Do the agents change production systems on their own?
No. Agents propose actions and wait for approval. Guardrails define what may be automated, and every step is logged.
How do agents validate exploitability?
They combine CVE research with Zafran's runtime presence, reachability, threat intelligence and control coverage data to prove or disprove an attack path for each asset.
What does the agent produce for a confirmed exposure?
A remediation script or configuration change, the evidence behind it, and a ticket routed to the owning team through your ITSM.
Is this a chatbot?
No. Agentic Remediation runs workflows continuously across the queue; it is designed as an autonomous teammate with oversight, not a question-and-answer interface.
See Zafran in Action
Prioritize and fix what is truly exploitable using risk context from your existing security tools.