Treacle Technologies provides an AI‑driven deception platform that deploys dynamic, machine‑learning‑based honeypots and decoy environments to engage attackers during the reconnaissance phase. Real‑time analytics detect threats within seconds, delivering actionable alerts and threat intelligence to security operations centers while seamlessly integrating with existing firewalls, IDS/IPS, and SIEM solutions for proactive protection of IT and OT networks.
Funding
$510K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
AWFounders
Product
Problem
Organizations face increasing cyber threats from attackers who exploit unpatched vulnerabilities and lack of skilled personnel, leading to prolonged detection times and potential data loss. Traditional security tools often react only after an intrusion, leaving critical systems exposed during the reconnaissance phase.
Solution
Treacle Technologies offers an AI-driven deception platform that deploys dynamic, machine‑learning‑based honeypots and decoy environments to engage attackers early in their attack chain. By luring adversaries into simulated assets, the system gathers real‑time intelligence on tactics, techniques, and procedures while keeping the true network hidden. Integrated AI analytics detect malicious behavior within seconds and provide actionable alerts to security operations centers. The platform continuously adapts its decoys to evolving threats, ensuring sustained protection across IT and OT environments. Seamless integration with existing security stacks allows organizations to augment firewalls, IDS/IPS, and SIEM solutions with proactive, autonomous defense.
Target Audience
Primary customers are enterprise security teams, SOC operators, and OT managers in sectors such as finance, manufacturing, and critical infrastructure seeking proactive threat detection and deception capabilities.
Features
- Real‑time AI analytics that identify and classify threats within ~2.3 seconds
- Dynamic, adaptive honeypots that learn from attacker interactions and evolve automatically
- Automated decoy deployment across IT and OT networks to divert and contain attackers during reconnaissance
- Centralized dashboard delivering threat intelligence, behavior analytics, and integration hooks for SOC workflows
- API and SIEM connectors for seamless data export and incident response automation
- Scalable architecture supporting thousands of concurrent decoy instances and high‑volume attack diversion