2025數位應用週 AI臺灣 創新無限

XecGuard is a plug-and-play Guardrail security module. Without modifying the architecture, it instantly equips existing AI applications with robust malicious context defense capabilities, enhancing their instruction-following ability, blocking threats such as Prompt Injection, Prompt Extraction, and Jailbreak attacks.

1. Defending Prompt Attacks
Enhances LLM instruction-following accuracy, detects malicious contexts, counters Prompt Injection and Extraction, preventing model misuse or exploitation.

2. Plug-and-Protect
Advanced Inference Guardrail architecture to extend enhancement on existing LLMs, supporting mainstream models with one-click security upgrades.

3. Small Models Gain Enterprise-Level Defenses
Despite small model, once equip with XecGuard, the security resilience is comparable to large commercial-grade performance, delivering cost-effective AI protection.

Automatically discover potential external attack surfaces and provide a comprehensive view of digital assets from the hacker’s perspective. Proactively identify potential vulnerabilities through in-depth identification and analysis of the entire structure and respective components, correlating the attack surface of accounts, endpoints, and services.

1. AI-generated Compliance Assessment
An exclusively trained AI model offers practical audit recommendations and risk control measures, tailored to various cybersecurity management systems and regulatory requirements.

2. Early Warnings and Leakage Tracing
Leverage AI to inventory legitimate corporate credentials on the surface web, dark web, or public marketplaces, offering real-time alerts and mitigating attacks beforehand.

3. Continuous Exposure Management
Provide enterprises with intelligence of external assets, manage critical risks through case management, and continuously keep track of diachronic improvement performance.

Visualize Attack Paths, Identify Potential Privileged Accounts, and Manage the Enterprise’s Threat Attack Surface.

1. Account Impact Analysis
Use AI to simulate account impact analysis, anticipate hackers’ attack paths, and discern the enterprise’s privilege perimeters.

2. Monitor for Warning Signs
Monitor abnormal privileged account activity, detect common AD account attack methods in real time, and identify any signs of an attack.

3. Quantitative Identity Management
Stay in control of identity attack surfaces, quantify the enterprise’s identity security indicators, and obtain an overall security posture.

Monitor endpoint threats and AD privileged account activity, detect prevalent hacker attack techniques in real time, and identify any signs of an attack.

1. Autonomous Cybersecurity Response
Analysis based on the context of the case and autonomous case management increases the productivity of your cybersecurity team and enhances cyber resilience.

2. Enhanced Team Efficiency
Innovative AI language model trained for use in cybersecurity scenarios that can automatically summarize attack incidents and collaborate closely with the team, thereby solving workforce shortages.

3. Quantitative Endpoint Management
24/7 threat hunting with opened ticket within 3 minutes and investigation within 15 minutes, all with MTTI (Mean Time To Investigate) and MTTD (Mean Time To Detect) data provided.