CyberTwist offers an AI‑first security platform that unifies real‑time threat detection, compliance automation, and DevSecOps safeguards within a cloud‑native architecture. Leveraging large‑language models and custom machine‑learning pipelines, it detects anomalies, phishing, and prompt‑injection attacks while continuously mapping data‑handling practices to regulations, delivering audit‑ready reports and integrations via REST and FHIR APIs.
Funding
Funding not disclosed
Founders
Product
Problem
Modern organizations confront a rapidly expanding attack surface, with sophisticated malware, phishing, and AI‑driven threats that outpace traditional signature‑based defenses. Simultaneously, regulatory regimes such as GDPR, CCPA, and state‑level privacy laws impose continuous compliance burdens that many security teams struggle to automate. The combination of advanced threats and complex compliance creates blind spots that can lead to data breaches and costly penalties.
Solution
CyberTwist delivers an AI‑first security platform that unifies threat detection, compliance automation, and DevSecOps safeguards under a single cloud‑native architecture. Its suite of products leverages large‑language models and custom machine‑learning pipelines to perform real‑time anomaly detection, phishing interception, and prompt‑injection defense across endpoints, code repositories, and AI applications. Continuous learning models ingest telemetry and threat‑intel feeds to adapt defenses without manual rule updates. Integrated compliance bots map data‑handling practices to jurisdiction‑specific requirements, generating audit‑ready reports and remediation recommendations. All components expose RESTful and FHIR‑compatible APIs for seamless integration with SIEMs, CI/CD pipelines, and security orchestration platforms, enabling enterprises to consolidate security operations and reduce tooling sprawl.
Target Audience
Primary customers are enterprise security operations centers, DevSecOps teams, compliance officers, and independent security researchers seeking AI‑enhanced detection, automated compliance, and extensible security tooling.
Features
- Sentinel AI assistant: real‑time port monitoring, machine‑learning‑based anomaly detection, and AI‑driven phishing mitigation across networked assets.
- PromptShield LLM defense toolkit: detects prompt injection attacks, enforces data‑leak prevention, and provides a runtime firewall for generative AI services.
- DeepProbe OSINT engine: automated collection and AI‑enhanced analysis of public‑source data with built‑in ethical compliance checks.
- DevSecOps Plugin: CI/CD integration that scans code for secrets, CVEs, and AI safety violations using static analysis and ML classifiers.
- Privacy Compliance Bot: continuous regulatory audit engine covering GDPR, CCPA, and Florida statutes, delivering actionable remediation guidance.
- Threat Intel Dashboard: AI‑curated aggregation of CVE feeds, cyber‑news, and threat digests with impact scoring and exportable reports.
- AI Agent Marketplace: catalog of pre‑built offensive and defensive agents with one‑click deployment and custom agent development support via open‑source SDKs.
- Unified API layer: REST and FHIR endpoints for data ingestion, alerting, and integration with existing SIEM, SOAR, and ticketing systems.