Agent Environment Security
AI agents run with real permissions. XOR verifies tool configurations, sandbox boundaries, and credential exposure.
Agent environment isolation and supply chain verification
OutcomeBlock compromised tools and unsafe patches before they reach your codebase.
MechanismXOR verifies agent tool configurations, sandbox boundaries, and credential exposure before the agent runs.
Proof36.82% of agent skills in public marketplaces contain security vulnerabilities (Snyk ToxicSkills).
Agent tools run autonomously
Agents use third-party tools and plugins with real permissions. If a tool is compromised, the agent inherits that exposure. XOR checks tool configurations before the agent runs.
Supply chain risks
36.82% of agent skills in public marketplaces contain security vulnerabilities (Snyk ToxicSkills). Unsigned traces are spoofable. Supply chain transparency standards provide non-repudiation.
Three ways agents can be compromised
AI coding agents have three risk areas that traditional security tools do not cover:
The agent itself
Can it be tricked into writing malicious code? Does it follow instructions hidden in untrusted repository files?
The tools it calls
The plugins, tools, and servers the agent connects to. 36.82% of published agent tools contain known vulnerabilities. A compromised tool compromises the agent.
The output it produces
Does the generated fix introduce new issues? Does it actually resolve the original bug? XOR checks both.
How XOR protects each layer
Layer 1: Agent isolation
Each agent runs in an isolated container with strict security restrictions. No access to the host filesystem, network, or other containers.
$ xor run --isolated agent-config.json
agent attempting system access...
SANDBOX: access denied — security violation
container terminated (exit 137)
Layer 2: Tool scanning
Before an agent runs, XOR scans the tools and plugins it uses against known vulnerability databases and only allows trusted tools.
$ xor scan --tools agent-config.json
Scanning 12 tool configurations...
⚠ filesystem-tool: known vulnerability (path traversal)
⚠ network-tool: known vulnerability (server-side request forgery)
✓ 10 tools clean
Action: block vulnerable tools, enforce approved list
Layer 3: Output verification
After the agent produces a fix, XOR writes a verifier for the vulnerability and runs safety checks. This catches both failed fixes and newly introduced issues.
See
how verification works
for the full pipeline.
The 36.82% finding
A Snyk audit of 3,984 agent skills found 36.82% contain at least one security flaw and 13.4% have critical issues including credential theft and data exfiltration (source: Snyk ToxicSkills, Feb 2026). This includes tools for file access, network requests, and code execution. An agent using a vulnerable tool can be exploited by a malicious repository — the repository doesn't need to attack the agent directly.
This is why XOR checks every agent's tools before any PR ships.
Threat model
Malicious instructions hidden in repository files
Sandboxed execution, no access to sensitive files
Compromised tools stealing data
Scoped permissions, network isolation, approved tool lists
Agent escaping its sandbox
Multiple security layers + read-only filesystem
Tampered or unsigned agent tools
Signature verification, dependency scanning
Agent introducing backdoors in fixes
Safety checks, bug re-run, manual audit flag
Poisoned training data affecting agent behavior
Independent benchmark with known-good fixes
[NEXT STEPS]
Secure your agent deployment
FAQ
What is agent environment isolation?
AI agents run with real permissions. Isolation checks confirm agent tool configurations, sandbox boundaries, and credential exposure before the agent runs.
What does XOR verify in agent environments?
XOR verifies agent tool configurations, sandbox boundaries, credential exposure, and supply-chain integrity for skills and plugins.
Why is agent safety different from application security?
Agents have autonomous execution. A vulnerable agent tool or misconfigured sandbox gives an agent access it should not have. This requires isolation verification, not just code scanning.
How vulnerable are agent environments today?
36.82% of agent skills in public marketplaces contain security vulnerabilities (Snyk ToxicSkills). Unsigned traces are spoofable. Supply chain transparency standards (IETF SCITT and RATS) provide non-repudiation and provenance.
Patch verification
XOR writes a verifier for each vulnerability, then tests agent-generated patches against it. If the fix passes, it ships. If not, the failure feeds back into the agent harness.
Automated vulnerability patching
AI agents generate fixes for known CVEs. XOR verifies each fix and feeds outcomes back into the agent harness so future patches improve.
Benchmark Results
50.7% pass rate. $4.16 per fix. Real data from 1,224 evaluations.
Benchmark Results
50.7% pass rate. $4.16 per fix. Real data from 1,224 evaluations.
Agent Cost Economics
Fix vulnerabilities for $4.16–$87 with agents. 100x cheaper than incident response. Real cost data.
Agent Configurations
9 agent-model configurations evaluated on real CVEs. Compare Claude Code, Codex, Gemini CLI, Cursor, and OpenCode.
Benchmark Methodology
How CVE-Agent-Bench evaluates 9 coding agents on 136 real vulnerabilities. Deterministic, reproducible, open methodology.
Security Economics for Agentic Patching
Security economics for agentic patching. ROI models backed by verified pass/fail data and business-impact triage.
Automated Vulnerability Patching and PR Review
Automated code review, fix generation, GitHub Actions hardening, safety checks, and learning feedback. One-click install on any GitHub repository.
Continuous Learning from Verified Agent Runs
A signed record of every agent run. See what the agent did, verify it independently, and feed the data back so agents improve.
Signed Compliance Evidence for AI Agents
A tamper-proof record of every AI agent action. Produces evidence for SOC 2, EU AI Act, PCI DSS, and more. Built on open standards so auditors verify independently.
Compliance Evidence and Standards Alignment
How XOR signed audit trails produce evidence for SOC 2, EU AI Act, PCI DSS, NIST, and other compliance frameworks.
See which agents produce fixes that work
136 CVEs. 9 agents. 1,224 evaluations. Agents learn from every run.