Getting Started With AI Cybersecurity
AI is transforming cybersecurity by enabling new capabilities for detecting, analyzing and responding to threats. Whether used to improve threat detection and response, enhance risk prioritization or reduce vulnerability exposures, AI can deliver significant value by filling in—or augmenting—the gaps left by increasingly sophisticated cyberattackers and an ever-expanding attack surface.
Despite its potential to make cyber defenses more effective, AI must be carefully deployed and woven into an organization’s security architecture to ensure success. This is because it can also present some unique cyber risks, such as bias and adversarial attacks. While these risks may be more challenging for cybersecurity teams to overcome, they can be mitigated by taking a holistic approach to ensuring secure AI.
The fastest and most cost-effective way to get started with AI cybersecurity is through a purpose-built solution, such as IBM Security AI or Palo Alto Networks PAWS. These solutions work with your existing tools and workflows to optimize analysts’ time, accelerate detection of threats, minimize damage and enhance security posture.
Regardless of the type of AI cybersecurity tool chosen, its effectiveness can be limited by the quality of the data it has to work with. This is why it’s important to choose a solution that can enrich data with contextual intelligence and enhance analytics for improved decision-making. This will allow the tool to provide improved context for alerts, accelerate incident response, and surface root causes so organizations can better understand their vulnerabilities and prevent future breaches.