Why cybersecurity must pair humans with self-learning AI (VB On-Demand)

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AI has transformed cybersecurity. Now, new proactive approaches to automation, including attack path modeling and attack surface management, are taking human IT teams to a new level. Don’t miss this VB On-Demand event to learn why IT professionals and self-learning AI make a cybersecurity dream team.

Watch for free on demand.

In a post-pandemic world, the security risk landscape has become incredibly complex. We are more digitally networked than ever, both privately and professionally. At the same time, companies are accelerating their digital transformation programs to find new business opportunities.

But risks are growing at the same pace, and businesses must keep their eyes peeled for the threats in this new economy – a thriving criminal ecosystem built on digital attacks, state-sponsored espionage and cyber warfare.

The real challenge in securing tomorrow’s digital world lies at a dangerous crossroads:

  • the explosion of digitization and cloud computing power
  • the scale of the cybersecurity threat
  • the lack of qualified cyber professionals.

That’s where smart technology comes in, says Mike Beck, Darktrace’s Global CISO. Self-learning AI adapts to an organization’s digital ecosystem, leveraging the vast amounts of data coursing through the decentralized post-pandemic workforce to make informed decisions. It can augment human teams and give them a way to defend themselves against threats that have become much more sophisticated and increased to machine speeds.

“In the next few years, self-learning AI will become ubiquitous in order to do justice to the pure scaling factor of digitization in companies,” says Beck. “No one can solve this problem with people alone, not even the leading banks and technology companies. The use of self-learning AI alongside human security teams will provide the industry with a true scalable partnership to meet today’s cybersecurity challenges.”

Why IT teams need self-learning AI now

Cybersecurity workers working in the trenches today need support. More than anything, they need to be able to take vacations, take weekends, and look up from endless whack-a-mole play. But organizations also need to stop wasting their cybersecurity on individual tickets triggered by a single alert. Instead, companies should leverage their in-depth knowledge and make sure they’re spending time on what they’re good at.

With an AI-powered cybersecurity platform, IT professionals can overlay their understanding of cybersecurity with their domain knowledge of the business to make decisions that can have wider implications. Using self-learning AI to augment the human security team improves overall security operations and stops attackers autonomously.

Machine learning algorithms learn to proactively strengthen defenses by enjoying a continuous cycle of mapping your organization’s attack surface and modeling potential attacks. That means alerting teams, adding controls or patches to the most likely attack paths – or the paths of least resistance. When this is not possible, they can pre-emptively place detection and autonomous response lenses over these vulnerable areas.

When processes or workloads experience significant changes that amount to a security issue, AI can intervene to repair the system and return it to a known good state. All outcomes from each phase can improve security posture and create a continuous feedback loop.

“The future of intelligent security is technology that can proactively harden and mature the control environment to make it harder for an attacker to succeed once they gain a foothold in your digital possessions. We are well on the way to realizing this future,” says Beck.

Techniques like attack surface management (looking at the organization from the outside to identify digital vulnerabilities) and attack path modeling (looking at the organization from the inside to see how an attack might go) consistently provide the IT team with insight-driven hardening opportunities to take them one step further to be ahead of what’s lurking around the corner.

“CISOs need to scale security operations in a repeatable, consistent manner that is independent of digital changes in the enterprise and independent of attacker techniques,” says Beck. “Cybersecurity today is about AI that can work alongside human security teams.”

Watch now, on demand.

You will learn the following:

  • How IT pros can use AI to manage risk and prioritize issues
  • Protect and secure customers with autonomous decision-making
  • Applying continuous AI feedback to improve results and increase security
  • Merging the physical and digital worlds to create intelligent infrastructure security


  • Nicole EganChief Strategy Officer and AI Officer, Darktrace
  • Norbert HankeExecutive Vice President, Hexagon
  • Mike Beck,Global CISO, Darktrace
  • Steve LorimerGroup Privacy & Information Security Officer, Hexagon
  • Chris PreimesbergerModerator, Contributing Author, VentureBeat Why cybersecurity must pair humans with self-learning AI (VB On-Demand)

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