Presented by Darktrace
AI has transformed cybersecurity. New proactive automation approaches, including attack path modeling and attack surface management, are taking human IT teams to the next level. Don’t miss this VB On-Demand event to discover why IT professionals and AI machine learning are a cybersecurity dream team†
In a post-pandemic world, the security risk landscape has become incredibly complex. We are digitally connected more than ever in our private and professional lives. 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 need to 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 magnitude of the cybersecurity threat
- the shortage of skilled cyber professionals.
That’s where intelligent technology comes in, says Mike Beck, Darktrace’s Global CISO. Machine-learning AI adapts to an organization’s digital ecosystem, leveraging the vast amounts of data that traverse the post-pandemic, decentralized workforce to make informed decisions. It can empower human teams, giving them a way to fight back against threats that have become much more sophisticated and increased to machine speed.
“In the coming years, machine learning AI will become ubiquitous to meet the sheer scale factor of enterprise digitization,” says Beck. “No one can solve this problem with people alone, not even the top banks and technology companies. Using machine learning AI alongside human security teams will give the industry a truly scalable partnership to meet today’s cybersecurity challenge.”
Why IT teams need machine learning now
Cybersecurity personnel working in the trenches today need support. Most of all, they need to be able to take vacations, take weekends and look up to playing endless whack-a-mole. But companies also need to stop wasting their cybersecurity on single tickets powered by a single alert. Instead, companies should leverage their in-depth knowledge and make sure they spend time doing what they do best.
With an AI-powered cybersecurity platform, IT professionals can overlap their cybersecurity knowledge with their business domain knowledge to make decisions that can have broader impact. Using machine learning AI to strengthen the human security team improves overall security operation and autonomously stops attackers.
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 warning teams to add controls or patches to the most likely paths of attack — or the paths of least resistance. If that is not possible, they can preemptively apply detection and autonomous response lenses to those vulnerable areas.
If processes or workloads undergo significant changes that amount to a security vulnerability, AI can intervene to restore the system so that it is back to a known good condition. All the outputs of each stage can improve the protection state, creating a continuous feedback loop.
“The future of intelligent security is a technology that can proactively strengthen and mature the operating environment to make it harder for an attacker to succeed if they gain a foothold on your digital domain. We are on track to make this future a reality,” says Beck.
Techniques such as attack surface management (looking at the business from the outside to spot digital vulnerabilities) and attack path modeling (looking at the business from the inside to see how an attack might traverse itself) repeatedly provide intelligence-based hardening capabilities for the IT team to stay one step ahead of what’s lurking around the corner.
“CISOs need to scale security operations in a repeatable, consistent manner that is impervious to digital changes in the business and impervious to attacker techniques,” says Beck. “Cybersecurity today is about AI that can collaborate with human security teams.”
You will learn about:
- How IT Professionals Can Use AI to Manage Risk and Prioritize Issues
- Protect and secure customers with autonomous decision-making
- Apply continuous AI feedback to improve results and strengthen security
- Merging the physical and digital worlds to create intelligent security for infrastructure
Presenters:
- Nicole EaganChief 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 Writer, VentureBeat