Tipping the Scales Back in Our Favor

The economics of cyberattacks heavily favor attackers. Malware kits and 0-day exploits now come with SLAs and support, mirroring legitimate software vendors. AI is accelerating this trend, making sophisticated attack techniques—once exclusive to nation-state actors—widely accessible.

Financial institutions were the first persistent targets due to the ease of monetizing stolen data. Retail followed with credit card fraud, and now healthcare is a prime target, as patient data is harder to alter and ideal for identity theft. AI further amplifies these threats, enhancing phishing campaigns, automating exploit development, and streamlining credential theft.

Traditional defenses struggle against polymorphic malware, kernel-level exploits, and AI-driven social engineering. Traditional single-threaded sandboxing can be evaded, and stolen credentials enable undetectable lateral movement. To counter this, AI-powered threat detection, rapid forensics, and proactive security operations are essential.
Offensive security remains the best method to validate defenses. This session explores how AI-driven hunting techniques, machine learning, and data science can help tip the scales in our favor.

Be sure to submit your questions for our presenter in the box when you register. Attendees are eligible to receive 1 CPE credit.