Transforming security capabilitieswith Gen AI
Turn threat intelligence data into actionable insights
Up-to-date, actionable threat intelligence is vital for cybersecurity professionals to make informed decisions about an organization’s security posture and formulate effective mitigation and response strategies. But, with so much internal and external data to analyze, it can be difficult to deliver useful insights at the speed decision-makers need.
Gen AI’s biggest strengths are synthesizing and summarizing vast quantities of data from numerous sources and identifying patterns and anomalies in that data. This makes it ideal for providing fast, meaningful insights into emerging threats and trends in the cybersecurity landscape.
Gen AI can also tailor intelligence reports for different audiences, providing detailed tactical intelligence for security practitioners and easily digestible summaries highlighting items of interest for CIOs and CISOs.
To take advantage of this actionable intelligence, security leaders must find Gen AI tools that align with their teams’ objectives. Then they need to modify processes and upskill staff to incorporate these reports into security workflows, and create a feedback mechanism to enable continuous improvement.
Understand risk and prepare for attacks
Gen AI tools can help accelerate an accurate understanding of an organization’s threat landscape and risk exposure. For example, Capgemini has integrated the usage of a large language model (LLM) in security operations that – using a single prompt – can analyze code behavior and third-party threat intelligence data to produce contextualized risk assessments.
Gen AI also offers significant advantages in threat hunting and attack simulation. For instance, models can identify hidden vulnerabilities, predict future attack paths, and create synthetic data to simulate novel attack patterns and potential threat scenarios. Gen AI can also simulate known attack scenarios in a controlled environment, helping improve security teams’ training and preparedness.
Security leaders should make it a priority to evaluate how Gen AI can provide a better understanding of their environment. As part of that evaluation, it’s important to consider how Gen AI tools will support agent-based and agentless data gathering to ensure full coverage for large, complex environments.
Automate security policies, documentation, and routine tasks
By adopting Gen AI to deliver an appropriate level of automation, organizations can streamline many of the processes that divert security teams’ precious attention from higher-value tasks.
Gen AI can automatically generate draft security policies tailored to the unique characteristics and context of the organization. Generative models can create policy documentation and automatically update it as policies evolve. They can also automate script development for routine operational processes such as firewall configuration changes, vulnerability scanning, and patch management.
Gen AI tools can accelerate security solution design and implementation by generating contextualized architectures, integration scripts, implementation documentation, and more. For example, Gen AI could produce accurate diagrams of complex network configurations or alert teams to anomalies such as abnormal connections between devices.
To realize the potential for automation in cybersecurity, leaders should begin by evaluating the capabilities of their current vendors and tools. Then, they need to determine whether new Gen AI-powered capabilities should be part of their budgeting, license renewal, and vendor selection activities.
Empower users to make better security decisions
Security is everyone’s responsibility – but not every user has security expertise. Gen AI can give users real-time guidance to make the right security decisions, whatever their level of security knowledge. It can help developers and users make the right choice for what they’re trying to achieve while also making the right security choice.
For example, Gen AI can empower developers to follow secure coding practices by recommending validated, secure code snippets from approved code repositories. This allows organizations to eliminate future vulnerabilities in their software before they appear.
Gen AI can also empower customers to protect themselves. For instance, the chatbot that customers engage with to make purchases or access support could also alert them to potential fraudulent activity on their account, helping increase trust and strengthen customer relationships.
Accelerate threat detection and incident response
With powerful anomaly detection and behavior analysis capacities, Gen AI models can rapidly detect unusual network traffic or code behavior and other deviations that may indicate a security incident. And because it continuously improves its understanding of security threats, Gen AI can enhance threat detection capabilities by helping identify new and evolving threats.
When security incidents do occur, Gen AI can accelerate response and recovery by suggesting actions or generating scripts based on the nature and context of the incident and past runbooks on similar events. Gen AI helps security teams to automate the initial stages of incident response for common threats and simulate different response strategies to determine the most effective approach for complex incidents. After a security incident, Gen AI also helps accelerate forensic analysis, reporting, and improvement recommendations.
Capgemini experienced Gen AI’s ability to accelerate incident management during our collaboration with Microsoft in the creation of Copilot for Security. Our evaluation found that Copilot users were 19% faster at analyzing incident reports, and 14% faster and 12% more accurate when analyzing scripts.
