Genla · Lab

GenSec

Next-generation cybersecurity systems. AI against AI

GenSec
About the lab

GenSec

In the era of pervasive AI integration, the threat landscape has changed: cybersecurity has turned into a technological confrontation between attacking and defending algorithms. The GenSec lab designs and deploys comprehensive, enterprise-level intelligent security ecosystems (Enterprise Security). We automate threat-detection processes, provide sovereign protection of AI models from destructive manipulation, prevent leaks of confidential information through external neural networks, and build a proactive, layered defence of the IT landscape that is ready for the challenges of the post-quantum era.

Capabilities

What's inside

01

Automated MDR (Detection & Response)

Intelligent analysis of network traffic and entity behaviour in real time. Autonomous detection and blocking of malicious activity at the early stages of an attack.

02

Security of corporate AI models

Protection of proprietary LLMs and ML algorithms from adversarial attacks, prompt-command injections and targeted training-data poisoning (Data Poisoning).

03

Confidentiality control and flow isolation

Preventing leaks of trade secrets and source code into external public chatbots. Designing protected LLM gateways in conjunction with GenBox and GenEtics.

04

Predictive vulnerability management

Automatic infrastructure scanning, forecasting of potential attack vectors and intelligent prioritisation of critical patches for the IT department.

05

Countering hyper-adaptive threats

Recognising and neutralising next-generation targeted phishing and the compromise of digital identities (deepfakes) generated by hostile AI.

06

Adoption of post-quantum cryptography

Integration of advanced encryption algorithms and protocols resistant to decryption by the computing power of future quantum computers.

Advantages

Why it works

A proactive defence model

A shift from reactive incident resolution to continuous predictive threat scanning based on an AI-powered SOC.

Fewer false positives

Filtering out parasitic IT noise and false alarms by an average of up to 90%*, which lets security officers focus on real incidents.

Minimal response time

Reduction of key metrics: the mean time to detect (MTTD) drops to seconds, and the mean time to respond and contain a threat (MTTR) — to minutes.

Use cases

How it is used

Autonomous 24/7 SOC

Round-the-clock infrastructure monitoring, incident orchestration, regular penetration testing and a comprehensive information-security audit. A fixed response SLA.

A secure generative-AI loop

Deployment of a regulated environment for staff to work with large language models without the risk of compromising intellectual property and personal data.

FAQ

Frequently asked questions

What methodologies and standards are GenSec solutions based on?
The systems’ architecture relies on international practices for countering AI threats: MITRE ATLAS, OWASP Top 10 for LLM, NIST AI Risk Management Framework, as well as the classic standards ISO/IEC 42001, SOC 2 Type II and the requirements of national legislation (152-FZ).
How is the reduction in false positives achieved?
GenSec’s behavioural AI models continuously analyse the context of the client’s infrastructure, adapting to the legitimate actions of users and administrators, which makes it possible to reduce the volume of false incidents by an average of up to 90%.
How is readiness for post-quantum challenges achieved?
We carry out mathematical modelling of the resilience of current cipher signals and proactively integrate certified next-generation cryptographic algorithms into the client’s data-transmission architecture.

* Information disclaimer: all efficiency metrics shown, including the false-positive reduction figures of up to 90%, the MTTD/MTTR timing parameters and the SLA terms of the GenSec lab, are calculated individually following a pre-project information-security audit, depend on the current state of the client’s IT loop, do not constitute a public offer (Art. 437 of the Civil Code of the Russian Federation) and are fixed solely in bilateral agreements and service agreements.

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The information on this website is for informational purposes only, reflects the results of specific integration projects and does not constitute a public offer as defined by Article 437 of the Civil Code of the Russian Federation. All calculations, partner-program terms and economic indicators are individual for each project and are fixed solely in bilateral agreements.