Agentic Runtime Rules: The First Self-Writing Security System for Runtime

The End of Manual Security Management Is Here

Say goodbye to regex repositories and ticket fatigue—Impart delivers instant detections and autonomous investigations for security teams.

For years, security teams have been trapped in reactive mode. Every investigation, detection rule update, or WAF configuration change required painstaking manual effort: digging through tickets, exporting data, crafting custom regex patterns, and waiting on slow deployment cycles.

Today, we're breaking that cycle.

We're proud to introduce Agentic Runtime Protection Rules, the first LLM-powered detection system that autonomously writes, tests, and deploys itself. This isn't merely another "smart security" solution—it's a fundamental reimagining of how runtime protections should work.

"The biggest thing Impart does for us is free up our analysts. We don't need to write or maintain complex detections—it's already handled. That's a game-changer."
— Head of Threat Response, Mid-Market Fintech

Why This Matters Now

Security teams are overwhelmed—and recent industry data confirms the severity of the situation:

• 95% of organizations report that stress among cybersecurity professionals impacts staff retention, with 34% stating it has a significant impact (Senseon SOC Survey, 2024)
• API-targeted attacks are surging, with business logic attacks growing 10% year-over-year to constitute 27% of all API attacks (Imperva Research, 2024)
• 83% of security professionals believe AI-powered automation is the most promising approach to reducing stress in their teams (Senseon, 2024)

Meanwhile, the complexity of protecting modern applications continues to increase. According to Imperva's research, the average organization now maintains over 600 APIs, creating an unprecedented attack surface for security teams to defend.

The Problem with Traditional Runtime Protection

Legacy WAFs and API security tools are built on static, proprietary detection systems that can't adapt to evolving threats. This outdated approach forces security teams into:

• Manual ticket-by-ticket investigations
• Brittle regex-based rule configuration
• Time-consuming reporting through spreadsheets and CSV exports
• Constant maintenance and tuning cycles

Even the most skilled security teams find themselves constantly playing catch-up.

Introducing Agentic Runtime Protection

Powered by Impart's MCP Server, our new approach transforms security operations by delivering:

✅ Code-Based Detection Rules – Detections built with real programming language syntax that LLMs can reason about, generate, and adapt in real-time using public training data (and not obscure regex)

✅ Autonomous Investigation – Self-driving workflows that handle rule testing, tuning, and regression testing without manual tests

✅ Zero-Touch Deployment – New protections move from concept to production automatically, eliminating staging bottlenecks

✅ Instant Integration – Seamless export of detections and findings to your existing security stack within your existing AI tools like Cursor

In essence, we've created a system that thinks and acts like your best security analyst—without the fatigue, and without the regex.

Why We Call It "Security That Writes Itself"

Security tools shouldn't need constant babysitting. They should keep pace with emerging threats, adapt in real-time, and eliminate friction between detection and protection.

With Agentic Runtime Protection Rules, that's precisely what you get:

• No more regex
• No more tickets
• No more waiting

Just secure APIs, secure applications, and a more productive security team.

See It in Action

Impart transforms hours of manual effort into seconds of automated protection. Let us show you how.

Request a Demo

Sources:

• Senseon SOC Survey, 2024
• Imperva Research Labs, State of API Security Report, 2024

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