Security
Security teams need more than reactive alerts and generic anomaly detection. They need models that understand context, respond in real time, and operate within strict policy boundaries. All without compromising on speed.
CTGT powers AI that adapts fast and explains its decisions, improving itself without micromanagement.
One deployment, full-spectrum protection
A public cybersecurity firm came to CTGT with a clear problem: their models were missing what human analysts could catch.
They were using a general purpose LLM to flag potential threats, but it often overcorrected or underfired. This was especially true with new forms of fraud.
With CTGT, they were able to:
Integrate their own internal playbooks and threat detection heuristics directly into model behavior.
Automatically adjust the model in production as new attack patterns emerged. No retraining required.
Instead of building a new model every time the threat landscape changed, the security team used CTGT to dynamically guide the same model to handle evolving behaviors. That meant faster detection, lower latency, and far fewer false positives.
Built-in policy enforcement
Our platform allows security teams to embed custom rules, playbooks, and behavioral thresholds directly in the model’s concept space, so neither prompt scripting nor retraining is needed.
When a prompt injection or jailbreak attempt occurs, the model adjusts its own behavior in real time and neutralizes the threat while remaining online. Continuous adaptation keeps the defense layer ahead of attackers and lets engineers concentrate on strategic improvements rather than emergency patching.
Interpretability without overhead
Most interpretability tools are added after the fact. CTGT’s approach builds interpretability into the core of each system. Decisions made by a model : why a login attempt was flagged, what triggered a fraud alert, and other comparable events, can be surfaced through a lightweight UI and traced to specific learned features.
This transparency is critical in high-stakes environments. Not just for audits or compliance, but for everyday operations. Security teams can now understand why a model did what it did to change the behavior in real time.
From POC to production, fast
Many security AI projects stall at the pilot stage. CTGT accelerates the entire deployment pipeline. One public cybersecurity company reduced time-to-market for new AI features by 30%, while improving accuracy and drastically reducing false positives.
Security models don’t need to be bigger. They need to be smarter, faster, and under your control.
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