HR TECH 2026

WITH DANNY KIM

Danny Kim's full presentation — delivered live in Kuala Lumpur, 2026

covers the complete threat landscape and response framework. Key in your details in the form, and instantly get the presentation slides.


Danny is a leader in business and education and applies his entrepreneurial skills to transform both areas. As the founder and CTO of FullArmor Corp. founded in 1987 and the CEO of CyberArmour Asia, Danny has worked with more than 30 Fortune 500 companies including Walmart, Boeing, and Bank of America and has done OEM and partnerships with large enterprise vendors and government agencies such as Microsoft, NetIQ, Citrix, Dell, MicroFocus, The White House, CIA, FBI and the Department of Defense (US) and others. 
As an educator, Danny headed the STEM and Research programs at Valley Christian Schools in San Jose, CA, a K-12 school with over 2800 students. In addition, Danny served as CEO of Quest Institute for Quality Education, which provides a unique educational program that allows students to create science experiments that run on board the International Space Station and a program to perform underwater research in the world’s only underwater research facility dedicated to education. He also serves a special liaison to NASA.
Danny holds several patents around enterprise security and cloud computing and has led a team of high school students to become the youngest team in XPRIZE history to win the million-dollar international competition to innovate in the oceans. He also holds a B.Sc.. in Computer Science from Cornell University. He is currently running an XPRIZE team incubator where he develops and manages school teams for various XPRIZES categories across the world.

When Both Sides Get AI, Who Wins?

Attackers and defenders are now scaling at machine speed. For the first time, defense holds the better weapon — but the window to use it is closing in 12 to 24 months

Cybersecurity now ranks ahead of inflation, geopolitical instability, and trade disruption as a business risk. That's not an overstatement — it's where the numbers point.

Here's why: AI didn't just make attacks faster. It made them different. In one benchmark test, a frontier AI model produced a working exploit for every vulnerability it was given — including flaws it had never seen before. What used to take a skilled attacker days now takes a machine minutes.

For now, though, defenders have the advantage. The most capable AI models are only available to vetted security teams — attackers are stuck using older, publicly available versions a generation behind. That gap is real, but it's temporary. Most estimates give it 12 to 24 months before attackers catch up.


That means the advantage only counts if you use it now, while it's still yours. Three things determine whether you do:

1. Continuous AI Red Team — instead of testing your defenses once a year, AI agents can probe your own systems around the clock, flagging weaknesses before an attacker finds them first.

2. Agent Governance — if you're using AI systems internally, each one needs the same accountability a human employee would: an identity, limited access, and a record of what it did.

3. Remove Attack Surface — the fastest way to blunt a machine-speed attacker is to leave it nothing to attack. Closing exposed ports and unnecessary access points means there's simply less for even the fastest AI to find.

Every one of these buys you time inside the window. Skip them, and the window closes at the same pace either way — you just won't be ready when it does.


That third pillar — removing the attack surface itself — is exactly what SSHepherd was built for. Closed ports. No listening services for attackers to find. Full access for your team, invisible to everyone else.