Next-generation cybersecurity (AI-Security)

AI Security 2026: Predictive attack analytics, data leak filters, and 24/7 auto-vulnerability scanners to defend against neuro-hackers.

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Key features

Predictive threat analytics and early warning
AI-powered data leak prevention and DLP for GenAI
Automated vulnerability scanners and secure code review 24/7
Integrations with SIEM/SOC and existing security processes
On-premise / closed loop, private deployment
Logging, auditing, and security compliance reporting

Description

What it is AI-Security is next-generation defense: AI acts as both shield and sword. We predict attacks, prevent data leaks, and continuously check code and infrastructure for vulnerabilities. Products Platforms for predictive analytics: predict attacks before they happen. AI-powered leak filters: monitor what employees are feeding into public neural networks. Automated vulnerability scanners: audit code with neural networks 24/7. For the Russian market We support on-premise deployments, segmentation, security logs, and access control. Can be integrated into existing SOCs and security processes.

Key scenarios

Infrastructure Attack Prediction and Prevention
Leakage Control When Working with Public Neural Networks
Continuous Code and Dependency Auditing
Incident Analysis and Remediation Recommendations

Integrations

We connect to your systems and data via APIs and connectors.

SIEM / SOC Data Loss Prevention (DLP) systems GitLab / GitHub / Bitbucket CI/CD pipelines API / Webhook

Security

Role-based access and authorization
Segmentation and isolation of networks
Security logs and auditing
On-premise and private cloud

How we implement

Audit

Analysis of current IT architecture and risks

Pilot

Deployment of predictive analytics and DLP filters

Prod

Integrations with SOC, monitoring, and SLA

Outcome / impact

-50%

снижение времени обнаружения угроз

+30%

рост эффективности реагирования на инциденты

24/7

непрерывный аудит и мониторинг

2–6 недель

пилот до измеримых метрик

These metrics are approximate and depend on the maturity of your cybersecurity processes and infrastructure.

Mini‑FAQ

Можно ли развернуть в закрытом контуре?

Да, доступен on‑premise и изоляция данных.

Как это связано с DLP?

ИИ‑фильтры дополняют DLP и предотвращают утечки в GenAI‑сервисы.

Какие системы можно подключить?

SIEM/SOC, DLP, Git‑репозитории, CI/CD и API.

Заменяет ли это существующий SOC?

Нет, это усиливает SOC и автоматизирует часть задач.

Сколько занимает пилот?

Обычно 2–6 недель в зависимости от масштаба.

Next-generation cybersecurity (AI-Security)

Description

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