This year, attackers began using AI in a much more aggressive and systematic way. The threat is real and will continue to grow in 2026. We have already seen real breaches where attackers use advanced AI models to automate most of their steps. Moreover, we are seeing malware that can rewrite itself in real time to avoid detection.
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Category Tags
- Blog
- How are collaborative AI agents (Agentic AI) reshaping offensive security?
- How can AI-driven validation drastically reduce the time between detection and remediation?
- How can you prove that a vulnerability represents a real breach risk?
- What do recent CVEs reveal about the most common mistakes in vulnerability management?
- What lessons can we learn from recent cases like the Salesforce token abuse or Fortra GoAnywhere CVEs?
- What makes Continuous Threat Exposure Management (CTEM) different from traditional penetration testing?
- What role does automation play in solving the “vulnerability overload” challenge?
- Why are API attacks still rising, and how can organizations prevent OAuth token abuse?
- Why do so many security teams prioritize irrelevant vulnerabilities while overlooking exploitable ones?