Solar

Solar Unveils AI Firewall to Protect Against Dangerous Actions by AI Agents

At SOC Forum 2026, Russian cybersecurity firm Solar presented its new Solar AI Firewall solution designed to filter requests to external AI models and block prompt injections. The product sits between users and AI systems, applying multi-layer protection that responds in milliseconds and counters 200 types of attacks. Special emphasis is placed on autonomous AI agents capable of performing actions in corporate systems, where the firewall inspects operations and blocks potentially harmful ones. Integrations with DLP, SIEM, and IDM tools are supported, and the solution is available both as a cloud service and for on-premises deployment. Solar has been testing the product internally and observed significant shadow AI usage outside corporate controls. The company plans further development of comprehensive AI risk management capabilities.

Solar to Showcase Solar AI Firewall for Business Protection Against AI Risks at SOC Forum 2026

GK Solar will present its new Solar AI Firewall solution at SOC Forum 2026 to help organizations control interactions with AI services and prevent confidential data leaks through employee prompts. The product addresses growing risks from staff sending corporate data to neural networks and AI agents gaining access to internal systems. The forum takes place on 27-28 October in Moscow's Lomonosov cluster, with the official launch of Solar AI Firewall scheduled during the event. Solar will also highlight practical risks of AI adoption, including data transmission to external services, use of public models by employees, and new attack surfaces in corporate infrastructure. The solution will be demonstrated as part of an integrated ecosystem for access, network, and data protection. In addition, the company plans to introduce JSOC ONE, a new line of Solar JSOC services tailored for mid-sized businesses that require 24/7 monitoring without building their own SOC.

Registration Opens for SOC Forum 2026 with Focus on GenAI and Cybersecurity Risks

GC Solar has opened registration for SOC Forum 2026, the central event of the Russian Week of Cybersecurity. The two-day conference will take place on 27-28 October at the Lomonosov cluster in Moscow and will examine both the economic benefits and the security challenges of generative AI. Day one covers business impact, regulatory questions, data control, liability for AI errors, and new threat vectors. Day two shifts to hands-on technical tracks covering attack detection, defensive infrastructure development, and the use of AI by both attackers and defenders. The program includes dedicated tracks such as AI & Cybersecurity, Offence, Defence, and SOC-practicum. Organizers emphasize practical discussions over marketing presentations about neural-network images.

True Crime from Investigators: Solar Group to Premiere Real Cyber Investigation Series at Russian Cybersecurity Week 2026

The Solar Group has announced that its Cyberculture project will shift from poster exhibitions to a short true-crime series titled True Cyber Crime. The series draws directly from real investigation cases handled by the company's security practitioners. Episodes will air on Cyberbez TV during the SOC Forum, which forms the centerpiece of Russian Cybersecurity Week running from 26 to 30 October 2026. In parallel, the Cyberbez-Likbez track will deliver lectures and meetings across more than twenty universities between 5 and 26 October, targeting both specialized and non-specialized audiences. The main SOC Forum itself is scheduled for 27-28 October at the Lomonosov cluster in Moscow. Organizers state that the narrative format is intended to hold viewer attention longer than static posters while explaining concrete digital threats and recommended protective behaviors.

Digitizing Cyber Risks: How to Communicate Cyber Threats to Boards in the Language of Money

The article from Solar details a hybrid methodology for quantifying cyber risks by converting technical threats into financial metrics such as probability and expected losses. It explains that cyber risks represent a specialized form of operational risk characterized by rapid propagation, scalability across IT infrastructure, and heavy dependence on third-party vendors and cloud providers. The process involves four stages: asset and threat identification, incident and vulnerability analysis, translation into monetary values using formulas like ALE, and ongoing monitoring with updates. Qualitative expert assessments are combined with quantitative techniques including Monte Carlo simulations and statistical modeling when data is available. The resulting metrics support investment prioritization through ROSI calculations, integration of cyber risks into enterprise risk management frameworks, and clear communication with directors and investors using business language. Regulatory pressure and the direct impact of incidents on revenue, costs, and business continuity make this approach increasingly essential.