Vulnerability Management
Code Security
Cloud Security
Threat Hunting

The agent harness for cybersecurity

Automate workflows, investigate vulnerabilities, track down owners, and remediate fast — at scale, with zero engineering friction.

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Adversaries are getting faster

AI turns a CVE into a working exploit in hours, and anyone can use it. Are you ready for the vulns of the future?

AnthropicSep 29, 2026

An open model wrote a Chrome exploit in 8 hours

An open-weight model turned a public Chrome patch into a working exploit in 8 hours, for $20.40.

Anthropic research

JFrog ArtifactoryAug 28, 2026

From fix to 400K attacks a day in 5 days

One request gave attackers admin on the server that ships your code. Two weeks on, half hadn't patched.

Fastly

2026 zero-days in production stacksPaused

Node.js BrotliCVE-2026-111497Oct 21
PHP2ShellCVE-2026-109618Oct 21
Next.jscritical fix withheldSep 30
AF_UNIX escapeCVE-2026-80521Sep 22
Next.js next/ogCVE-2026-94545Sep 22
Linux ebtablesCVE-2026-53266Sep 18
Windows UpdateCVE-2026-81963Sep 8
Windows ALPCCVE-2026-85880Sep 8
Adobe CommerceCVE-2026-75650Sep 7
Next.js on WindowsCVE-2026-75604Aug 25
libheif AVIFvia next/imageAug 25
MLflowCVE-2026-64849Aug 19
Windows AFDCVE-2026-68820Aug 11
LangflowCVE-2026-9198Aug 4
Apache TomcatCVE-2026-34486Aug 4
Fastjson 1.xCVE-2026-16723Jul 21

AnthropicSep 29, 2026
An open model wrote a Chrome exploit in 8 hours
An open-weight model turned a public Chrome patch into a working exploit in 8 hours, for $20.40.
Anthropic research
2026 zero-days in production stacksPaused
- Node.js BrotliCVE-2026-111497Oct 21
- PHP2ShellCVE-2026-109618Oct 21
- Next.jscritical fix withheldSep 30
- AF_UNIX escapeCVE-2026-80521Sep 22
- Next.js next/ogCVE-2026-94545Sep 22
- Linux ebtablesCVE-2026-53266Sep 18
- Windows UpdateCVE-2026-81963Sep 8
- Windows ALPCCVE-2026-85880Sep 8
- Adobe CommerceCVE-2026-75650Sep 7
- Next.js on WindowsCVE-2026-75604Aug 25
- libheif AVIFvia next/imageAug 25
- MLflowCVE-2026-64849Aug 19
- Windows AFDCVE-2026-68820Aug 11
- LangflowCVE-2026-9198Aug 4
- Apache TomcatCVE-2026-34486Aug 4
- Fastjson 1.xCVE-2026-16723Jul 21
JFrog ArtifactoryAug 28, 2026
From fix to 400K attacks a day in 5 days
One request gave attackers admin on the server that ships your code. Two weeks on, half hadn't patched.
Fastly

Solution

Solve the hardest problems in cybersecurity using frontier intelligence

Rival’s Agent Harness gives you the capabilities and context to run security agents at your scale and complexity.

SubagentsContext

Agent Harness

Subagents

Agent Harness

Context

Extend
Ready-made agents
- Proven agents live in minutes, and yours to customize and extend
Partner
We build, you run
- Hyper-tailored agents, custom built for your environment and stack by Rival engineers, at no additional cost
Grow
Build your own
- Easily build any agents and leverage Rival's capabilities to accelerate any workflow

Agentic Toolbox

Check out the arsenal

A few of the agentic super-powers Rival grants your team on day one.

Remediate
Autonomous Remediation
Generates and ships precise, tested fixes.
Investigate
Triage Exploitability
Proves what’s actually exploitable in your environment.
Route
Ownership Resolution
Maps every finding to the team that can fix it.
Track
0-day Fast Response
React to new threats blazingly fast - from triaging to remediation.
Enrich
Context Enrichment
Adds asset, runtime and business context, automatically.

See Rival in Action

We’re on

Meet the @rival harness

Build anything with Rival, or pick a built-in agent to start a workflow.

What should we secure today?

Built-in agents

Recent Work by

research

Mythos 'Discovered' a CVE Already in Its Training Data — and That's Still Worrying

Anthropic made headlines claiming Claude Mythos achieved the "first remote kernel exploit discovered and exploited by an AI." We went looking for how — and found a 20-year-old bug hiding in plain sight.

research

Taxi: Debugging Agent Trajectories at Scale

Behavioral bugs in agents fail silently and repeatedly, quietly burning tokens, time, and quality. Taxi is how we find them — clustering agent trajectories into a taxonomy we can query, browse, and act on.

research

ClosedCaption: Finding Interpretable Clusters with LLMs

We discuss use cases for LLM-cluster interpretability in agent analysis, experimental designs to test these pipelines, and how we use these techniques to analyze our own agents.

Show all posts

The agent harness for cybersecurity

Adversaries are getting faster

An open model wrote a Chrome exploit in 8 hours

From fix to 400K attacks a day in 5 days

An open model wrote a Chrome exploit in 8 hours

From fix to 400K attacks a day in 5 days

Solve the hardest problems in cybersecurity using frontier intelligence

Ready-made agents

We build, you run

Build your own

Check out the arsenal

Autonomous Remediation

Triage Exploitability

Ownership Resolution

0-day Fast Response

Context Enrichment

Meet the @rival harness

What should we secure today?

Recent Work by

Mythos 'Discovered' a CVE Already in Its Training Data — and That's Still Worrying

Taxi: Debugging Agent Trajectories at Scale

ClosedCaption: Finding Interpretable Clusters with LLMs

Every change needs a beginning.