Your RSA-2048 keys break in 2030. Find every one of them before attackers do.
Develop›Coding Agents

Your AI agents write code. O3 makes sure it's secure.

Claude Code, Copilot, Cursor, Devin — they're fast. But they don't know your org's security rules, your forbidden dependencies, or what a taint sink looks like in your codebase. O3 does.

Start FreeSee it in action
Policy Guardrails

Your Security Policies, Always Enforced.

O3 evaluates every agent output against your org's defined security rules. No exception, no bypass, no "the agent didn't know."

Policy Engine RulesActive
rule-01: block_insecure_serialization
Enforced
rule-02: prevent_sql_string_concat
Enforced
rule-03: require_auth_header
Enforced
Dependency Protection

Banned Packages Never Touch Your Code.

Agents pull in whatever looks right to them. O3 checks every dependency against your org's banned list before it lands.

package.json
Dependency Guard · O3
11 "dependencies": {
12 "express": "^4.18.2",
13 "axios": "^1.6.0",
14− "node-serialize": "^0.0.3",Vulnerable
15+ "node-serialize": "^1.0.1",Safe
16 "lodash": "^4.17.21",
17 }
node-serialize 0.0.3 is vulnerable (CVE-2017-5941 · RCE) — auto-upgraded to 1.0.1
Static Analysis

Every Data Flow, Traced in Real Time.

O3 runs interprocedural taint analysis on agent-generated code as it's written. Unsafe paths from input to sink are caught before they reach your editor.

req.bodySourceuser_dataVariabletransform()Processhandler()Pass-thrubuildQuery()Builderdb.execute()SQL Sink
Context Injection

Agents Write to Your Standards, Not Theirs.

AI agents are trained on public code — not your internal patterns, your approved libraries, or your data handling requirements. O3 injects that context before the prompt fires.

Create a database call to lookup user profile
+/
Running agent…
+
#o3-context.md
##O3 Injected Context — Rules & approved APIs
-Must use client: `postgres-pool`
-Enforce parameterized query structure
-Limit columns returned to approved schema
Auto-Remediation

Violations Rewritten Before They Land.

O3 doesn't stop at detection. When a policy violation is found in agent output, O3 rewrites the affected code and delivers the corrected version.

Auto-Remediation EngineRewritten (38ms)
Original Agent Output
const query = "SELECT * FROM users WHERE id = '" + req.query.id + "'";
O3 Autonomously Rewritten Output
const query = "SELECT * FROM users WHERE id = $1";
const result = await db.query(query, [req.query.id]);
Remediation runs under 50ms • Developer context preserved
Audit Telemetry

Every Agent Action Is Logged.

Every prompt, every generated block, every violation blocked or rewritten — captured with timestamps and policy references, automatically.

Agent Security AuditsReal-Time telemetry
Claude Code • dependency-scanBlocked

Blocked import of banned npm package 'request'

Cursor • taint-flow-analysisRewritten

Remediated SQL Injection risk at auth.ts:54

Devin • policy-checkApproved

All code patterns align with security rules

Logs stream to compliance dashboards in real time
Universal Integration

One Layer Across Your Agent Stack.

O3 sits between your agents and your codebase regardless of which tools your team uses. No lock-in, no migration, no per-agent configuration.

Policy Engine IntegrationUniversal Gateway
Cursor
Copilot
Claude
O3
Policy Layer
Your RepoAlways Secure
Sits inline • Standard enforcement across all development agents

Secure every line your agents write.

Connect O3 to your agent setup in minutes. Security policies enforced automatically — no prompt engineering required.

Book a Demo →
FAQ

Questions,
answered.

Everything teams ask before rolling this out. Still stuck? Reach our team.

  • AI coding agents are trained on public code repositories, which means they've learned from years of insecure patterns, deprecated APIs, and abandoned packages. They have no awareness of your organization's specific security policies, your internal banned-dependency list, or how your authentication middleware is supposed to work. Without a guardrail, they'll generate code that follows generic best practices, which may be completely wrong for your environment.
  • O3 sits between your coding agent and your codebase as a transparent policy layer. Before an agent prompt fires, O3 injects your org's security context, approved libraries, forbidden functions, required patterns, so the agent writes with those constraints. After the agent generates output, O3 runs taint analysis and policy checks on the code, rewriting any violations before they land in your editor. The entire cycle adds less than 50ms of latency.
  • O3 works with any coding agent, including Claude Code, GitHub Copilot, Cursor, Devin, Codeium, and Amazon Q. Because O3 operates as a policy enforcement layer rather than an agent-specific plugin, it doesn't require the agent to support any particular API or extension. If your agent writes code that touches your codebase, O3 can evaluate it.
  • O3 rewrites the violating portion of the generated code before it reaches your editor or codebase. The violation is logged with a reference to the policy rule it breached, the original insecure pattern, and the corrected output. Your security team gets a full audit trail without having to manually review every agent-generated PR. The developer sees clean, compliant code, the agent keeps running without interruption.
  • No. O3 runs policy checks in parallel with agent output generation and caches common policy evaluations. The average overhead per code block is under 50ms, which is well below the threshold of anything a developer would notice. Context injection into agent prompts happens before the agent fires, so there's no sequential wait added to the agent's response time.