Today’s security teams face many challenges—sophisticated cyberattackers, an expanding attack surface, an explosion of data and growing infrastructure complexity—that hinder their ability to safeguard data, manage user access, and quickly detect and respond to security threats.
IBM Security® provides transformative, AI-powered solutions that optimize analysts’ time—by accelerating threat detection, expediting responses, and protecting user identity and datasets—while keeping cybersecurity teams in the loop and in charge.
Gain valuable insights into the future of AI in cybersecurity and learn how to stay ahead of evolving threats.
AI solutions can identify shadow data, monitor for abnormalities in data access and alert cybersecurity professionals about potential threats by anyone accessing the data or sensitive information—saving valuable time in detecting and remediating issues in real time.
AI-powered risk analysis can produce incident summaries for high-fidelity alerts and automate incident responses, accelerating alert investigations and triage by an average of 55%.1 The AI technology also helps identify vulnerabilities and defend against cybercriminals and cyber crime.
AI models can help balance security with user experience by analyzing the risk of each login attempt and verifying users through behavioral data, simplifying access for verified users and reducing the cost of fraud by up to 90%.2 Also, AI systems helps prevent phishing, malware and other malicious activities, ensuring a high security posture.
IBM Security QRadar Suite spans threat detection, investigation and response technologies and is built on an open foundation that can meet the demands of hybrid cloud. It features advanced AI threat intelligence and automation designed to empower security analysts to work with greater speed, efficiency and precision across their core toolsets.
IBM Security Guardium is a data security platform that provides complete visibility throughout the data lifecycle and helps address data compliance needs. It features built-in AI outlier detection based on multiple risk factors, with functionality that provides organizations with superior data monitoring and quicker identification of data threats.
The IBM Security Verify solution provides deep, AI-powered context for both consumer and workforce identity access management (IAM). It protects your users and apps, inside and outside the enterprise, with a low-friction, cloud-native, software-as-a-service (SaaS) approach.
IBM Security Managed Detection and Response (MDR) Services use automated and human-initiated actions to provide visibility and stop threats across networks and endpoints. With a unified, AI-powered approach, threat hunters can take decisive actions and respond to threats faster.
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Sutherland delivers great customer experiences for its clients through a combination of consulting, services, implementation of proprietary and third-party software solutions, and SaaS and PaaS offerings, including implementing AI to enhance data security.
After seeing a rise in cybersecurity incidents in its IT environment, global industrial supplier ANDRITZ AG deployed an integrated set of managed security services on a virtual platform that provides 100% visibility, decision making support and the ability to process millions of events per day.
Credico, a professional services firm, enabled 100% tablet policy compliance and enhanced endpoint security with IBM Security MaaS360 – an AI-powered UEM solution, allowing them to manage 2,000 – 3,000 tablets for a diverse set of independent sales offices (ISOs) spread out across the US, Canada and beyond.
To better protect its patient data and applications and to comply with regulations, United Family Healthcare deployed an AI-enabled security operations platform that increased visibility and sped up its time to detect, contain and respond to ransomware attacks through the use of AI.
Be better prepared for breaches by understanding their causes and the factors that increase or reduce costs. Hint: AI and automation are playing transformative roles.
More than 80% of SOC practitioners say that manual investigation of threats slows down their overall threat response times.
Research shows that organizations with fully deployed security AI and automation have experienced an average reduction of USD 3 million in data breach costs.
Learn about the elements of enterprise AI including trust, transparency and governance.
Footnotes
1. Global Security Operations Center Study Results, administered by Morning Consult and commissioned by IBM, March 2023. Based on responses from 1,000 surveyed security operation center professionals from 10 countries.
2. Charles, B. S. (2016, October 16). Forrester Study Highlights a Company’s 90 Percent Reduction in Fraud Costs Using IBM Trusteer Solutions.