Advanced Security Technologies protects governments, global enterprises, and mission-critical infrastructure — including the AI they now run — by preventing cyber attacks before they begin, and before a breach becomes a reportable one.
Indicators of Compromise are artefacts of an intrusion that has already happened, been documented, and been published. By construction, an IOC-based defence is behind the attacker.
AST generates Indicators of Future Attacks: original, customer-specific intelligence derived from watching adversaries operate live on our deception infrastructure — before disclosure, and before the technique is used anywhere else.
| Dimension | IOC (reactive) | IOFA (preemptive, AST) |
|---|---|---|
| Source | Attacks that already occurred elsewhere, later documented and published | Live attacker behaviour observed directly on your own deception infrastructure |
| Detection window | Available only after exploitation, confirmation, and publication | Typically 1–2 days ahead of vulnerability confirmation; documented cases 30–45 days ahead |
| Specificity | Generic, applied equally to every customer | Specific to the attackers, techniques, and infrastructure targeting you |
| False-positive rate | High; requires ongoing tuning and triage | Near zero — every interaction with our decoy is adversarial by definition |
Through autonomous deception, cyber-clones, and continuously adapting AI, we observe attacker behaviour in real environments – allowing us to prevent zero-day attacks days or weeks before public disclosure.
Our team observed active exploitation on June 5, 2025, 45 days before public disclosure on July 20, 2025.
AST detected real-world attack activity on October 6, 2025, 35 days before the vulnerability was publicly disclosed on November 10, 2025.
AST observed exploitation activity against its deception infrastructure on December 1, 2025, two days before the vulnerability was publicly disclosed and patched on December 3, 2025. Tracked as CVE-2025-55182 (CVSS 10.0), an unauthenticated remote code execution flaw in React Server Components.
We detected Log4Shell exploitation activity on December 9, 2021 — the same day it was publicly disclosed, at the very start of global mass exploitation. We list it as day-zero telemetry rather than pre-disclosure interdiction: it evidences sensor coverage at the onset of the largest internet-wide exploitation event in recent memory, not advance warning.
AST protects both sides of the autonomous threat: AI used against your infrastructure, and your own AI being manipulated against you.
Agents perform reconnaissance, discover credentials and sensitive resources, and interact with cloud, repositories, endpoints, APIs and data — deciding what to do next without human control. AST detects and observes autonomous reconnaissance, credential exploration, privilege-seeking behaviour and interaction with protected resources, and helps interrupt it before real assets are reached.
Agents consume documents, RAG corpora, repositories, tickets and API responses, and untrusted content can influence what they do next. AST monitors whether trusted agents retrieve unexpected information, invoke unexpected tools, or perform actions outside their intended security boundaries.
Neither problem required a new architecture. AST’s platform already turns adversary interaction into intelligence, and intelligence into enforcement. Autonomous adversaries enter that loop at the same point every other adversary does.
| Stage | Established platform | Extended for autonomous systems |
|---|---|---|
| 1 | Deception | Agent interaction |
| 2 | Unique telemetry | Behavioural telemetry |
| 3 | IOFA | Intent and TTP analysis |
| 4 | Prevention | Containment |
Innovative, AI-driven security solutions built on patented research and real-world threat intelligence to prevent attacks before they impact critical systems.
Deny — Automated Moving Target Defense
Self-learning prevention that runs where conventional agents cannot – IoT devices, routers and ARM-class hardware – using adaptive AI and moving-target defense, from a sub-2 MB model.
Disrupt — Predictive Threat Intelligence
Predictive intelligence from live attacker behaviour, pushed automatically to your NGFW, EDR, DNS and SIEM – documented 45 days ahead of disclosure on a SharePoint zero-day.
Investigate — Next-Generation SIEM
Deception-native next-generation SIEM. Enriches every event with predictive CATIS context before an analyst sees it, correlating at sub-10ms latency and 50,000 events per second. Now extended to AI prompt, response and agent telemetry, and to AI agent integrity monitoring.
Deceive — Advanced Cyber Deception
Patented, self-adapting cyber-clones that lure and profile attackers – collecting unique threat intelligence long before they reach your real infrastructure. Live in one business day, and now extended with AI agent-aware deception.
Defensive, adaptive and preemptive — engineered to safeguard critical infrastructure, corporate systems, and IIoT networks before threats strike.
Real-time monitoring and incident response ensuring continuous protection of your environment.
Advanced threat intelligence designed to preempt cyber risks targeting critical national infrastructure.
Tailored intelligence and threat detection aligned with your organisation’s specific attack surface.
Enterprise-grade security operations and protection delivered as a fully managed service.
If you are interested in our products, either as a customer or a partner, do not hesitate to get in touch.
