Industries
Cybersecurity
Deploying advanced AI models to safeguard digital assets and ensure compliance with security standards
Growing threats, evolving regulations, and legacy systems make it hard to protect your data and operations? As businesses scale and digitize, so do risks. From ransomware to data leaks, securing your digital assets has never been more complex
We help you stay ahead by combining AI, automation, and best-in-class governance practices to strengthen your defenses and meet global compliance standards
From real-time threat detection to privacy audits, we offer pragmatic, tailored solutions that grow with your business
Future trends
organizations increasing AI security budgets
Cybersecurity InsidersDedicated AI security budgets unlock faster product launches
Over the next two years, AI security will move into dedicated budget cycles as production deployments require enforceable governance. Organizations funding controls separately can accelerate AI product launches without holding back new revenue.
52% of organizations are increasing dedicated AI security budgets.
Cybersecurity Insiders
enterprises using AI-amplified cybersecurity for most use cases
GartnerAI-amplified security becomes the majority-use-case norm by 2028
By 2028, AI-amplified products will become the default architecture choice across most enterprise security use cases. Buyers delaying platform integration risk slower deployment of AI-enabled business services.
Over 75% of enterprises are projected to use AI-amplified cybersecurity products for most use cases by 2028, up from less than 25% in 2025.
Gartner
breach cost savings
IBMAI security creates a $1.9M breach-cost divide
Over the next two years, AI-enabled detection, investigation, and response will reshape breach economics across security operations. Security leaders can protect their cost base by scaling automated workflows before incidents test them.
Security teams that fully leverage AI and automation lower breach costs by $1.9 million compared with teams that do not.
IBM
false positive reduction
UnderDefenseAI Triage Cuts False Positives by 90%
AI triage in SOCs slashes false positives by up to 90%, enabling analysts to prioritize real threats and speed detection.
AI triage can reduce false positive rates by up to 90%.
UnderDefense
Our use cases
We can deploy custom models to detect anomalies in system behavior, flagging risks before they escalate and adapting to new threats over time
We provide tools that streamline audits, automate consent tracking, and ensure your data handling aligns with global privacy regulations
We can build AI agents that monitor logs, summarize incidents, and guide teams through security protocols, reducing response time and human error
We know how to secure and optimize cloud infrastructure across AWS, Google Cloud, and Aliyun, ensuring uptime, redundancy, and fast recovery
We offer dashboards that centralize risk data, provide real-time oversight, and support faster decision-making around security posture
We ensure your AI systems follow safe deployment practices—protecting sensitive data and aligning model behavior with internal compliance rules
