Agentic
Vulnerability Management

Mythos breaks patching. Agentify your vulnerability management processes and harden faster than the next zero-day. Better outcomes from the VM, CSPM, and ASM platforms you already have, with no rip-and-replace.

Pre-built micro agents for prioritization, ownership routing, hardening, and verification, or build your own.

Custom approval flows, web forms, and case management around any of it. Audit trail on every change.

A specialized micro agent for every VM, CSPM, and ASM platform.

BlinkOps ships a micro agent per platform, tailored to your risk model, assets, and exception handling. The output is exposure-based prioritization that reflects your real attack surface, not a re-skinned scanner output.


Vendor Agnostic

Tenable VPR, Qualys TruRisk, Wiz Issues, Axonius assets, Rapid7 findings. The agent works in each platform's native finding format and risk model.

Exposure-aware

Combines each platform's native risk signal with your asset criticality and exploitability data, so prioritization reflects real exposure, not raw CVSS

Asset-context aware

Mapped to your asset inventory, owners, and environment tags, so the right finding reaches the right team without manual triage.

Featuring the most commonly used agents for Vuln Mgmt

Each agent has a focused role, a knowledge base specific to your environment, and a tightly scoped set of abilities. They reason, they generate, they route through your approvals.

Risk Agent

+
Prioritizes what actually matters

Identifies affected assets, classifies exposure, and validates whether existing controls already mitigate the risk. Cuts 400 findings down to the 4 that need action.

Asset inventory queries

Exposure classification

Compensating control checks

Hardening Agent

+
Confirms the fix actually closed the exposure

When a patch is slow or unavailable, the agent generates the right mitigation. IaC guardrails in your repo conventions, SBOM-driven dependency bumps with explained risk, egress allowlists, WAF rules. Cloud-aware and code-aware in one agent.

IaC guardrails in your repo conventions

SBOM-driven dependency with attack-path explanation

Network and config mitigations when no patch exists

Verification Agent

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Confirms the fix actually closed the exposure

Triggers a rescan after the fix lands. Confirms the finding is closed across every platform that reported it. Reopens the case if the issue is still reachable. Audit-ready close, not a manual click.

Automated rescan after fix

Cross-platform close confirmation

Reopens cases that don't actually resolve

From 771 days to same-day exploitation in seven years.

The Zero-Day Clock tracks median time-to-exploit across 3,500+ confirmed exploited CVEs. The trend is not slowing. AI now reverse-engineers patches and produces working exploits in minutes. Defenders still need 20 days to test and deploy a new patch.

From zero-day signal to governed hardening PRs.

Agentic workflows that prioritize risk, generate safe changes, and route through the right approvals. From CVE to merged hardening PRs, in your team's DevOps conventions, with human approval where it matters.

Security signals

Signal in

• New CVE
• CISA KEV match
• EPSS score
• SBOM data
Agentic workflows

Reason and Generate

• Risk classification
• Asset correlation
• IaC generation
Validate and approve

Check before ship

• Terraform plan
• Policy checks
• Human-in-the-loop
Change request

Logged

• Jira / ServiceNow
• Auto-generated
• Linked to finding
 PRs to DevOps

Merge and deploy

• GitHub / GitLab PR
• Reviewer assigned
• Merged and deployed

Patch when you can. Harden while you wait.

Minutes, not days

CVE to drafted PR in minutes.

Reduce exploitability

Close the attack path, not just the ticket.

Governed and auditable

Every change reviewed and logged.

Scale with confidence

Same workflow across every team.

One platform. The building blocks behind every fix.

Agentic vulnerability management is not a single agent. It is dashboards, tables, case management, agents, workflows, and the channels your team already works in, packed into one end-to-end solution.

Dashboards

Live exposure by asset, owner, and SLA. See what is open, what is overdue, what is hardened.

Case Management

Every remediation tracked as a case, from finding to verified close, with full history.

Workflows

Deterministic execution. Pull data, enrich, open PRs, rescan, and verify.

IM and interactive agents

Agents reach owners in Slack or Teams with the finding and the fix, and answer follow-ups in thread.

Dashboards

Live exposure by asset, owner, and SLA. See what is open, what is overdue, what is hardened.

Case Management

Every remediation tracked as a case, from finding to verified close, with full history.

Workflows

Deterministic execution. Pull data, enrich, open PRs, rescan, and verify.

IM and interactive agents

Agents reach owners in Slack or Teams with the finding and the fix, and answer follow-ups in thread.

Tables

Asset inventory, ownership, exceptions, and every scanner finding in one place the agents query.

Agents

Reason over findings, prioritize by real exposure, and draft the fix in your conventions.

Self-service
forms

Owners request exceptions and submit context without leaving their tools.

Integrations

Scanners, cloud, ticketing, code hosts, and SIEM connected through one engine.

Tables

Asset inventory, ownership, exceptions, and every scanner finding in one place the agents query.

Agents

Reason over findings, prioritize by real exposure, and draft the fix in your conventions.

Self-service
forms

Owners request exceptions and submit context without leaving their tools.

Integrations

Scanners, cloud, ticketing, code hosts, and SIEM connected through one engine.

Dashboards

Live exposure by asset, owner, and SLA. See what is open, what is overdue, what is hardened.

Tables

Asset inventory, ownership, exceptions, and every scanner finding in one place the agents query.

Case Management

Every remediation tracked as a case, from finding to verified close, with full history.

Agents

Reason over findings, prioritize by real exposure, and draft the fix in your conventions.

Workflows

Deterministic execution. Pull data, enrich, open PRs, rescan, and verify.

Self-service
forms

Owners request exceptions and submit context without leaving their tools.

IM and interactive agents

Agents reach owners in Slack or Teams with the finding and the fix, and answer follow-ups in thread.

Integrations

Scanners, cloud, ticketing, code hosts, and SIEM connected through one engine.

20 days vs 15 minutes.

Same CVE. Two response models. The difference is who closes the exploitation window first.

Traditional patching

CVE → Patch → Test → Deploy

Wait for the vendor. Wait for the maintenance window. Wait for QA. Hope no one weaponizes the patch faster than you can slot it in.

~20 days on average

Agentic hunting with Blink

CVE → Guardrail PR → Merge

The agent identifies affected assets, generates IaC and dependency PRs in your conventions, validates against team conventions, and routes to DevOps with full context.

Minutes to hours. Attack path closed first.

vs

The era of "we alert you" is over.

Every security tool on the market promises to find the problem. That bar is no longer enough. The vendors that stand out from here are the ones that deploy fixes, safe mitigations, or containment in real time. Not just tell you that you have a problem. Show that you solved it, or at least bought the team time.

The Old Bar

"We alert you."

Severity: critical. Patch ASAP. The alert lands in a Slack channel. Someone triages it. Someone opens a ticket. Someone routes it. Someone waits for a maintenance window. Meanwhile the exploitation window has already closed.

Findings without action

Tickets piling up in backlog

Patch windows measured in weeks

Defenders always one step behind

The New Bar

"We fixed it. Or bought you time."

412 services affected. 4 critical. Two hardening PRs generated, one merged, three pending DevOps review. The alert and the response arrive together, drafted in your conventions. Even when the patch does not exist, the exploitation path is already gone.

Fixes shipped, not just findings reported

Safe mitigations when no patch exists

Containment in minutes, not weeks

Audit trail for every change

Why Mythos is good news for BlinkOps customers.

Most teams read the Mythos announcement and feel the wrong kind of urgency. Defenders get the same tools. The platform that lets you ship them first wins.

1
Model-agnostic by design
The BlinkOps Agent Builder does not lock you to one LLM. Choose Anthropic, OpenAI, Gemini, or self-hosted open weight models. Swap the model in a single field.
2
Every model upgrade strengthens you
Better reasoning means better triage, better fix drafts, better risk analysis. Same workflows. Same knowledge bases. Better output, automatically.
3
When Mythos lands for defenders, you're ready
No re-architecture, no platform migration. Change the model field. The workflows that already protect your environment just get Mythos-class reasoning.