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ANCILE Project

Advancing Next-Generation Cybersecurity Intelligence

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ANCILE

AutoNoMic Cybersecurity with Adversarial Learning and Explanations

Despite widespread deployment of encryption, firewalls, advanced authentication, and systematic patching, today’s digital infrastructures remain highly vulnerable to sophisticated cyberattacks.

Zero-day vulnerabilities, interoperability constraints that delay patching, phishing and social engineering techniques, and long-running Advanced Persistent Threats (APTs) enable skilled attackers to bypass standard defenses and remain undetected for extended periods.

The frequency and sophistication of such attacks continue to increase, driven by strong economic and geopolitical incentives.

Key Capabilities

Runtime Zero-Day Detection

Detecting zero-day and APT attacks at runtime.

Goal & Plan Inference

Inferring attackers’ goals and plans from evolving anomalies.

Proactive Mitigation

Neutralising threats before critical damage occurs.

Adversarial Co-Learning

Continuously improving defence strategies.

Funded byANRFNR