How is AI influencing modern cybersecurity practices
AI is reshaping modern cybersecurity by enabling faster threat detection, predictive analysis, and automated response. From my industry experience and while working with training frameworks like those discussed at H2K Infosys, I’ve seen organizations use machine learning to analyze massive security logs, detect anomalies, and stop attacks in real time. AI helps identify zero-day threats, reduce false positives, and strengthen SOC efficiency. It also supports behavioral analytics to catch insider threats and phishing attempts. As attack surfaces grow, skills gained through Online classes cyber security increasingly focus on AI-driven tools such as SIEM, SOAR, and UEBA platforms, making security operations more proactive than reactive.
AI is transforming modern cybersecurity by enabling faster threat detection and response through automation. Machine learning models can identify patterns in network traffic and flag anomalies that may indicate cyber threats. This reduces reliance on manual monitoring and improves detection accuracy.
AI also supports predictive analytics, allowing organizations to anticipate and mitigate risks before they escalate. Additionally, AI tools help reduce false positives and enhance decision-making in real time. However, there are still challenges like algorithmic bias and adversarial attacks that need careful oversight.
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