Meet GregAI: Intruder’s Embedded AI Analyst Is Reinventing How Security Teams Handle Vulnerabilities

For overworked security teams buried under never-ending vulnerability alerts, Intruder has just unleashed a powerful new ally: GregAI.

Launched in beta this week, GregAI is not just another chatbot bolted onto a cybersecurity platform. Instead, it’s a context-aware AI analyst purpose-built for the trenches of vulnerability management. By embedding itself directly within Intruder’s attack surface management platform, GregAI has real-time access to the exact security posture of an organization — from recent scan data to infrastructure configuration and business-critical exposures.

Security Context Meets AI Efficiency

Traditional AI assistants like ChatGPT operate in a vacuum, offering generic responses to complex security problems. GregAI, on the other hand, is hardwired into live security telemetry. This tight integration allows it to surface vulnerabilities, assess their exploitability, and recommend remediation steps based on a company’s actual environment — not theoretical playbooks.

“Every minute you spend wrestling with cumbersome tools is a minute you’re not patched,” said Intruder CEO and founder Chris Wallis. “GregAI represents our commitment to making cybersecurity accessible and efficient for companies of all sizes.”

Security teams can now use plain English to get complex insights — a potentially game-changing productivity boost. Ask GregAI to “list critical vulnerabilities in our customer-facing applications” or “rank these issues by exploitability and business impact,” and it responds with contextual, actionable guidance. This isn’t just faster — it’s smarter.

Turning Manual Choke Points into Automated Wins

GregAI focuses on four of the most resource-draining tasks in cybersecurity operations:

1. Issue Prioritization – GregAI sorts vulnerabilities not just by CVSS score, but by business impact, exploit maturity, and asset criticality.

2. Vulnerability Validation – It walks users through reproducing issues like SQL injections, using step-by-step instructions tailored to their tech stack.

3. Remediation Guidance – Security engineers can request platform-specific remediation advice, not boilerplate checklists.

4. Executive Reporting – GregAI auto-generates summaries and three-month security posture snapshots for leadership — a blessing for CISOs tired of making slides at 10 p.m.

   
   

“We’re seeing this eliminate major bottlenecks,” said one early access user, a cybersecurity lead at a mid-sized SaaS firm. “I asked it to summarize our last quarter’s vulnerability trends and had a polished executive brief in under a minute.”

Laying the Groundwork for AI-Driven Security Automation

The GregAI beta is just the first leg of Intruder’s broader AI roadmap. Upcoming features include voice-enabled commands, autonomous false positive validation, and even the ability for GregAI to take action inside the platform — launching scans, onboarding new assets, and updating risk thresholds — all via natural language input.

“Our vision for AI at Intruder is to empower lean security teams with a fully-fledged virtual security analyst,” said Andy Hornegold, Intruder’s VP of Product. “GregAI’s skillset is developing rapidly, and we’ve started work on automated false positive validation and other AI-driven functionality that frees up even more time for security teams.”

The Bigger Picture

As enterprises continue to contend with sprawling attack surfaces and a chronic shortage of cybersecurity talent, GregAI might signal a turning point in how security is managed day-to-day. Rather than just alerting on problems, security platforms are starting to think — and act — like teammates.

In a cybersecurity landscape that punishes lag time and resource constraints, Intruder’s AI-native approach could be a glimpse into the future: a world where security platforms aren’t just tools — they’re colleagues.