Your SOC team drowns in 10,000 alerts a day. 95% are false positives. AI can change that — if you deploy it correctly. Alert Fatigue is the real security threat: your analysts can't investigate everything, so they investigate nothing carefully. Meanwhile, AI-generated code floods your repos with vulnerabilities no traditional scanner catches, and autonomous agents make decisions without oversight. I provide the strategy, vendor-agnostic assessment, and proven MDR partner connections that turn alert noise into actionable intelligence.
Alert Fatigue is real. Your team ignores 90% of alerts because they can't investigate them all. The real attack hides in the 5% they skip because the last 500 alerts were false positives.
AI security tools promise miracles. Most create more noise than signal. You've added 3 tools in 2 years. Alert volume went up 40%. Detection accuracy didn't improve.
You can't build 24/7 SOC coverage in-house. The math doesn't work — 5 analysts at 3 shifts means 15 FTEs, plus training, retention, and tooling. The MDR market exists for a reason.
Your current SIEM is a money pit. Logs go in, insights don't come out. You're paying €200K/year for a log aggregator that your analysts don't trust.
Developers are shipping AI-generated code faster than security can review it. Traditional SAST tools miss AI-specific vulnerability patterns — hallucinated APIs, insecure defaults, hardcoded secrets in prompt templates.
Autonomous AI agents are calling APIs, accessing data, and taking actions — with zero visibility into what's normal and what's compromise. You need agent-specific monitoring, not traditional endpoint detection.
Strategic advisory and partner delivery for security operations transformation. I help you navigate the vendor landscape and connect you with proven MDR partners.
Current state analysis. Detection coverage gaps, analyst efficiency, tool sprawl, budget reality.
Target architecture for AI-augmented security ops. What to build, what to buy, what to outsource.
Vendor evaluation. I know the MDR market—who delivers, who overpromises. Introductions to proven partners.
Deploy AI code review pipelines in your CI/CD. Custom rulesets on Semgrep and CodeQL tuned for AI-generated code patterns—catching vulnerabilities that traditional scanners miss in vibe-coded software.
Extend your SIEM to detect AI agent anomalies. Configure detection rules for unusual tool calls, data exfiltration patterns, prompt injection attempts, and unauthorized autonomous agent actions in production.
Oversee implementation. Ensure integration works, playbooks transfer, value materializes.
A structured approach to security operations transformation that integrates AI capabilities without ripping out existing investments. Advisory-led with partner delivery for sustained operations.
You're overwhelmed by security alerts and vendor pitches. You need strategic guidance, not another tool. You want proven MDR partners, not sales demos. You value independent advice over vendor relationships.
Not necessarily. Many AI security tools integrate with existing SIEMs. The goal is augmentation, not replacement. We evaluate what you have, identify gaps, and recommend solutions that maximize your existing investments.
I help you assess coverage (24/7?), response times, technology stack, integration capabilities, analyst expertise, and pricing models. More importantly, I've seen which providers deliver and which oversell. I provide introductions based on fit, not partnerships.
They'll change what analysts do, not eliminate them. AI handles alert triage, pattern detection, and initial investigation—reducing the 90% of alerts that are noise. Your analysts focus on real threats and complex investigations where human judgment matters.
Most clients see measurable improvements within 3-6 months: reduced mean-time-to-detect, fewer false positives escalated, and better analyst utilization. The exact timeline depends on your current maturity and the scope of transformation.
Traditional SAST tools were designed for human-written code patterns. AI-generated code introduces different vulnerability signatures—over-reliance on deprecated APIs, hallucinated library calls, insecure default configurations that look syntactically correct, and subtle logic flaws that pass standard linting. We deploy custom Semgrep and CodeQL rulesets specifically tuned for AI-code patterns, integrated directly into your CI/CD pipeline so every AI-generated commit is scanned before merge.
Our Agent Monitoring Playbook covers the full spectrum of autonomous AI agent risks: unusual tool call sequences, unexpected data access or exfiltration patterns, prompt injection attempts in production inputs, privilege escalation by agents exceeding their authorized scope, and lateral movement between systems. We configure detection rules in your existing SIEM and provide response playbooks so your SOC team knows exactly how to investigate and contain agent-related incidents.
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