AI: The Double-Edged Sword in Cybersecurity
Artificial Intelligence (AI) is reshaping the cybersecurity landscape in ways we’ve never seen before. But there’s a paradox: the very technology that attackers use to launch sophisticated, adaptive, and automated campaigns is also the most powerful tool defenders have at their disposal.

Recent industry reports show that 85% of AI-generated threats bypass traditional tools, while false positives in legacy SIEMs remain as high as 80-90%. The result is that security teams face analyst fatigue, missed detections, and escalating breach costs.

The Cost of Falling Behind
Organizations that fail to adopt AI-driven defenses aren’t just risking data loss-they’re risking business resilience and customer trust. Average AI-assisted breaches now cost $5.2M to remediate, with longer dwell times and greater reputational fallout. Attackers are innovating in real time, and defenders cannot afford to stay reactive.

Seceon’s Take: Fighting Fire with Fire-Smarter
At Seceon, we view the AI security paradox as a turning point. Traditional, rule-based approaches are no match for adversaries that learn and adapt. That’s why we’ve built our AI-driven Open Threat Management (OTM) Platform to harness AI for proactive defense.

Our platform processes 150M+ events per second across networks, endpoints, clouds, and applications. It uses self-learning models, behavioral analytics, and dynamic threat modeling to detect threats that signatures and static rules miss. Beyond alerts, it enables automated or analyst-guided response workflows that neutralize risks before they escalate.

What CISOs and Security Leaders Can Do Now
CISOs must begin evaluating AI-driven platforms that provide proactive detection and response capabilities. Legacy tools no longer provide the speed or precision needed to counter AI-enabled threats. Continuous monitoring across networks, endpoints, identities, OT, and cloud environments is critical to detect attackers who exploit any weak link.

Self-learning models should be prioritized over static rules. These models evolve in real time to detect novel threats, making them far more effective than signature-based systems. Security teams also need to pair advanced detection with incident response playbooks that have been tested and practiced. This ensures that once a threat is identified, the organization can act quickly and decisively.

Looking Ahead
The AI paradox is not going away. In fact, it is accelerating. Organizations that embrace AI-first defense today will not only protect themselves from advanced threats but also build the resilience needed to innovate with confidence.

Seceon’s mission is simple: turn AI threats into defensive advantages. With predictive analytics, real-time adaptation, and automated response, we help enterprises stay ahead of attackers and focus on what matters most-growing their business securely.

Learn more about how Seceon is helping organizations leverage AI for smarter, proactive cyber defense.

The post The AI Security Paradox: Why 85% of AI-Driven Threats Demand AI-First Defense appeared first on Seceon Inc.

*** This is a Security Bloggers Network syndicated blog from Seceon Inc authored by Aditya Kumar. Read the original post at: https://seceon.com/the-ai-security-paradox-why-85-of-ai-driven-threats-demand-ai-first-defense/