Zafran is an exposure management company that helps security and IT teams work out which of their many vulnerability findings attackers can actually exploit, and then fix those first.
Its Threat Exposure Management Platform pulls scanner findings from cloud, on-premises and application security tools into one view, adds exploitability context, checks which exposures existing security controls already mitigate and drives remediation through to closure.
At A Glance
| Vendor | Zafran Security |
|---|---|
| Category | Vulnerability management, threat exposure management |
| Deployment | Agentless, API-based |
| Agentic AI | Agentic Exposure Management, Agentic Remediation, RemOps |
| Customers | Kraft Heinz, Chipotle, Netskope, Ashland, Sallie Mae |
| Funding | Series C led by Menlo Ventures |
| Market classification | Vulnerability Management |
What Zafran Does
Large organisations run several scanners and receive far more findings than they can patch. Most of those findings are never exploitable in practice, because the vulnerable code is not running, the asset is not reachable from the internet, or a firewall or endpoint control already blocks the attack. Zafran applies that context so teams can concentrate on the exposures that matter to the business.
The approach adds context rather than another scanner. Zafran takes the findings a customer already has, works out which are exploitable and which existing controls already block, and sends what is left to the people who fix it, with AI agents doing much of that work under human oversight.
Products
Unify Findings
Unify Findings is for teams drowning in duplicate results from different tools. It brings findings from existing scanners across cloud, on-premises and AppSec into one view, then normalises and de-duplicates them into a single source of truth. Zafran’s own continuous detection can also take the place of a legacy scanner without deploying new agents.
Assess Risk
Assess Risk answers which findings are really exploitable. It weighs runtime presence, internet reachability, exploitation in the wild, asset criticality and whether existing controls already mitigate the issue.
Mitigate
Patch cycles can take weeks. Mitigate maps each exposure to the compensating controls already in place, so teams can reduce risk now, for example by tightening a control, while the fix waits for a maintenance window.
Remediate And RemOps
Remediate turns this analysis into focused fix work for Security and IT. RemOps uses generative AI to combine overlapping vulnerability findings into a single remediation item and to produce a simplified get-well plan. Tasks are routed to the right owners, tickets are assigned automatically and progress is tracked across platforms such as Jira.
Proactive Exposure Hunting
When a new CVE, zero-day or threat actor makes the news, security leaders need to know quickly whether they are exposed. Exposure hunting searches the environment for exposures tied to new threats and gaps in controls.
Zafran AIR
Zafran AIR is a rapid-response offering for teams that need to stand up AI resilience within days. It combines continuous vulnerability detection, runtime analysis and exploitability context with a Project Glasswing Exposure Tracker, and uses a fast-track deployment model.
Agentic Exposure Management And Agentic Remediation
Agentic Exposure Management runs autonomous agents across the vulnerability management lifecycle, with human-in-the-loop guardrails, using the Exposure Graph’s view of which controls already cover an exposure to decide what needs action. Agentic Remediation applies the same agents to the fix itself: they investigate, assess and remediate enterprise vulnerabilities in a closed loop, with a person overseeing each step.
How It Works
Zafran is agentless and connects through APIs, layering onto the security stack a customer already runs.
- Exposure Graph. The Exposure Graph is the data model underneath: it links each exposure to the security controls that could block it, and the agentic features run on top of it.
- Data sources. Findings come from native and third-party scanners and from Zafran continuous detection.
- Control configurations. The platform reads the configurations of security controls to build that mapping.
Company Background
| Founded | 2022 |
|---|---|
| Headquarters | New York City, United States |
| Leadership | Sanaz Yashar (Co-founder and CEO), Ben Seri (Co-founder and CTO) |
| Funding | The $60 million Series C was led by Menlo Ventures, with Sequoia Capital, Cyberstarts, PSP Growth and Vintage Investment Partners, bringing the reported total to $130 million; Amex Ventures later made a strategic investment |
Note: This overview is compiled from Zafran’s publicly available information as of 3 November 2026. It is provided for information only. NHI Mgmt Group does not endorse any vendor, and nothing on this page represents the opinions of NHI Mgmt Group.