Patrick Orzechowski (also known as “PO”) is Torq’s Field CISO, bringing his years of experience and expertise as a SOC leader to our customers. PO is a seasoned security veteran with a deep understanding of the modern security landscape. You can find him talking to SOC leaders and CISOs from major brands at cybersecurity events around the world. Why AI-driven Hyperautomation is the answer to your SOC pain.

Torq took home the top prize at Check Point’s 2025 Innovation Sandbox Competition during their annual CPX conference in Las Vegas. Chris Coburn, Torq’s Sr. Director of Tech Alliances, faced off against 13 other companies to pitch Torq’s AI-native autonomous SOC to a panel of judges and voting audience.

Now that six in ten security leaders view AI as a “game changer” across all security functions and 85% of security professionals report increased AI investment and usage in the past year, it’s clear that AI is no longer a fringe technology in security operations. But the AI conversation has evolved recently as a new buzzword has taken over: agentic AI.

At Torq, our commitment to security has always been at the forefront of our mission to empower businesses through our SaaS platform. Today, we’re proud to announce a significant step forward in our security journey: Torq has signed the CISA Secure by Design Pledge. This pledge underscores our dedication to ensuring that our customers can trust our platform to uphold the highest security standards, enabling customers to focus on their goals without concerns about their security posture.

Data breaches continue to cost organizations millions of dollars each year, with costs rising steadily. According to IBM's 2024 Cost of a Data Breach Report, the average cost of a data breach has surged to $4.88 million globally, reflecting the increasing complexity and sophistication of cyberattacks.

For security teams, resolving a cloud incident takes an average of 10 days — time attackers can exploit to cause further damage. The problem? SOCs often lack the context and cloud security automation they need to respond faster. That’s where the partnership between Torq and Sweet Security changes the game.

Last year was an absolutely amazing year for Torq. The stats are just mind-blowing: 300% revenue growth and 200% employee growth. We also closed our $70M Series C round, bringing our total funding to $192M.

SOC teams often wrestle with clunky, siloed reporting tools that lack real-time, connected capabilities. Analysts end up buried under a mountain of fragmented xdata, forcing teams to spend valuable hours tracking down answers to their most pressing questions, rather than tackling threats head-on. At Torq, we feel SOC reporting should be your power move, not a painful process.

Case management for modern SOCs can be a maze of endless alerts, overwhelming data, and intense pressure. Legacy solutions often exacerbate these issues with rigid workflows, limited automation capabilities, and a lack of real-time adaptability, leaving teams ill-equipped to handle the growing complexity of threats. The volume of cases, manual workflows, and processes leave analysts overwhelmed, exhausted, and struggling to keep pace.

Gal Peretz is Head of AI & Data at Torq. Gal accelerates Torq’s AI and data initiatives, applying his deep learning and natural language processing expertise to advance AI-powered security automation. He also co-hosts the LangTalks podcast, which discusses the latest AI and LLM technologies. Our previous blog post explored how planning with AI systems can set the stage for smooth collaboration between humans and machines. However, a solid plan alone isn’t enough.