Cutting Through the Noise: How SofectaLabs is Revolutionizing Cybersecurity with AI

Cybersecurity threats have never been more sophisticated or relentless. Even the most advanced security systems struggle to keep up with the overwhelming volume of alerts. At SofectaLabs, our internal dashboard lights up with over a thousand cybersecurity alarms daily, requiring swift and accurate triage. Shockingly, more than 90% of these alerts are false positives or benign activities, clogging up workflows and making it harder to detect real threats.

The challenge: Fighting through the noise

Security teams spend 32% of their day chasing false alarms, leading to analyst fatigue and delayed responses to real cyberattacks. The key question becomes: How do we cut through the noise and focus on genuine threats?

The solution: AI-powered triage and automation

At SofectaLabs, we've developed an AI-driven case analysis and triage system that acts as an intelligent filter. Using the latest LLM models, our AI:

• Distinguishes real threats from false positives
• Automates routine case analysis and triage
• Enables near real-time threat detection

By handling repetitive tasks, our AI allows security experts to focus on complex, high-risk threats. Studies show that AI-driven cybersecurity can reduce response times by 84% and improve threat detection accuracy by 60%, which is an advantage we bring directly to our clients.

AI automation flow: The ultimate force multiplier

At SofectaLabs, we already utilize top-tier security technologies like Elasticsearch for log analysis and SOAR for automation. To complement this, we engineered an AI-powered automation flow to:

1. Ingest new alerts from SOAR, along with linked cases (related suspicious activities happening around the same time).
2. Search historical cases to find three similar past incidents, using semantic search instead of basic keyword matching.
3. Analyze and triage the case, leveraging AI to determine severity and recommend next steps.
4. Inject AI-generated triage reports into SOAR, providing analysts with critical insights upfront.
5. Automatically close low and medium-risk cases when AI confidence is high.
6. Route high-risk cases to human analysts, allowing them to validate or refine AI-generated insights.

This human-in-the-loop approach creates a continuous feedback loop, making the AI smarter and more effective with every case it processes.

The tech powering our AI flow

Semantic search with Elasticsearch

Traditional keyword searches can miss crucial connections. Elasticsearch's vector database enables semantic search, which identifies conceptually similar cases—even if exact keywords differ. This improves threat detection by uncovering hidden attack patterns.

Flexible AI framework with LangGraph

Our AI flow is built on LangGraph (based on LangChain), a model-agnostic framework that allows us to integrate any leading LLM. This ensures we stay at the forefront of AI innovation while keeping our system adaptable.

Why this matters

By augmenting human expertise with AI-driven automation, SofectaLabs is setting a new standard for cybersecurity. Our intelligent triage engine accelerates response times, enhances accuracy, and frees analysts from chasing false alarms—so they can focus on what truly matters: stopping real cyber threats.

‍