AI That Secures Your Software
We deploy AI agents that automate vulnerability triage, accelerate threat detection, and augment your security team — turning hours of manual work into minutes.
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AI is transforming security operations — not by replacing security engineers, but by amplifying them. We deploy AI agents that handle the repetitive, high-volume work so your team can focus on what matters: architecture decisions, threat modeling, and strategic security improvements.
Our AI security agents integrate directly into your existing workflows — CI/CD pipelines, ticketing systems, Slack channels, and SIEM platforms. They triage vulnerabilities with context-aware prioritization, review code changes for security patterns, and correlate threat intelligence across your environment.
The result: faster response times, fewer missed issues, and a security team that operates at the speed of your engineering organization.
Engagement Phases
Assessment & Use Case Selection
Audit current security workflows, identify highest-impact AI automation opportunities, select models and tooling.
Agent Development
Build AI agents for vulnerability triage, code review assistance, threat detection, and security operations automation.
Integration & Testing
Integrate agents into CI/CD pipelines, SIEM, and ticketing systems. Validate accuracy, tune for false positive reduction.
Deployment & Optimization
Production deployment, feedback loops, model fine-tuning, team training, performance monitoring.
Deliverables
Before & After
| Metric | Before | After |
|---|---|---|
| Vulnerability Triage Time | Hours-days | <15 min |
| False Positive Rate | >50% | <10% |
| Code Review Coverage | <30% | 100% |
| Threat Detection | Reactive | Real-time |
Tools We Use
Frequently Asked Questions
How do AI security agents work alongside our existing security team?
AI agents handle the repetitive, high-volume work — vulnerability triage, alert deduplication, and code review scanning — so your security engineers can focus on architecture decisions, threat modeling, and strategic improvements. The agents augment your team, they do not replace it.
How long does it take to deploy AI-powered security?
Typical engagements run 4-8 weeks. Weeks 1-2 cover assessment and use case selection, weeks 3-5 focus on agent development, weeks 5-7 handle integration and accuracy testing, and weeks 7-8 complete production deployment and team training.
Which AI models do you use for security analysis?
We use Claude Code, OpenAI, and Gemini depending on the specific use case. For vulnerability triage and code review, we select models based on accuracy benchmarks against your codebase. All models are evaluated for false positive rates before production deployment.
How do you reduce false positives?
Our AI agents use context-aware prioritization that considers your application architecture, technology stack, and business context. We tune the agents during integration testing to achieve under 10% false positive rates, compared to the 50%+ rates typical of traditional rule-based scanning.
Can the AI agents integrate with our existing SIEM and ticketing systems?
Yes. We integrate AI security agents directly into your CI/CD pipelines, SIEM platforms, Slack channels, and ticketing systems like Jira. The agents fit into your existing workflows rather than requiring you to adopt new tools or processes.
Get Started for Free
We would be happy to speak with you and arrange a free consultation with our DevOps Expert in Dubai, UAE. 30-minute call, actionable results in days.
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