Trellix and the Public Sector Network recently collaborated to deliver the Q1 AU Cyber Security and Risk Management National Insights on 02nd February 2022, Online.
After the event, we were grateful to have had the opportunity to interview Trellix in an intimate conversation on their perspectives with technology trends and barriers faced in their community.
What overall trends are you seeing in terms of technology in your industry?
The emergence of the age of digitization and cybersecurity super cycles brings about whole new trends, activities, opportunities and challenges. This results in a world full of dynamic threats and ever-growing and expanding threat surfaces and with that, we see a major challenge for organisations.
Compliance driven, static and siloed approaches to cybersecurity challenges lead us to an unsustainable situation to combat cybercrime.
Organisations find themselves unable to handle the dynamic and ever-changing threats. To keep pace with these dynamic attacks and to ensure greater visibility, control and ultimate peace of mind, organisations are on the lookout for more centralised visibility and quick resolution of their security issues.
What is the next big thing in terms of technology and where do you see it in the next 2 to 5 years?
We must unleash smart and adaptive capabilities inherited from artificial intelligence and machine learning. New capabilities must touch all aspects of our architecture, process and skills. With the growing sophistication of threats, it’s easy to see why so many businesses are vulnerable to attacks and also why we have to shift our thinking, our approach and solution development.
But the reality is that most companies remain at risk because their existing security solutions fail to meet their needs or perhaps they are too focused on solving the last security threat rather than building safeguards against the next one! We must reduce and ultimately remove our dependencies on error-prone manual processes, this means the next big thing in cybersecurity is automation and orchestration will play a key role, now and in the future.
Aside from the pandemic, what have been some of the technology challenges or barriers experienced in the last 12 months?
Several moving pieces. A typical cybersecurity architecture leverages 50+ technologies these days. This has resulted in fatigue and taxes, being human fatigue a major challenge for us. Managing several point products has become too taxing.
COVID forced a super cycle upon us and that creates a massive challenge to allow corporate users to conduct and carry work from home, as they used to from office locations. Digitization and transition to Cloud Native environment brought this challenge to a new height. Foreseeing tomorrow’s threats must be our focus. However, and unfortunately, too many businesses lack the expertise and staff they need to monitor incoming attacks and solve threats. More importantly, they lack the forward-looking tools required to keep future attacks under control.
With machine learning and artificial intelligence, we can gain the insight needed to identify priority attacks, improve decision-making, and resolve these issues. Our continued challenge, and perhaps our opportunity, is to change our mindset and look at the way we have developed and build our cybersecurity architecture.
So, I hear you ask what the solution is?
At Trellix, we believe a single living security solution that is open and expandable plays a central role. At the heart of this, we need an extended detection and response, or XDR Ecosystem, that empowers us to instantly analyze data and predict and prevent attacks with a solution that’s always learning and adapting. That enable us to create open partnerships and native connections to automate security policy orchestration, support us with embedded tools and expert insights to reduce complexities and increase efficiencies.
What has been your best performing technology in the last 12 months and why?
Proactivity is a keyword here. A number of our solutions and capabilities, such as Trellix Insights, have been embraced widely and appreciated by our customers. With real-time intelligence taking actions proactively, leveraging comprehensive artificial intelligence and humans to provide prioritisation into which threats and campaigns are most likely to target any specific organisation, well before it arrives at your doorsteps.
At the end of the day, intelligence and actionable insights give us the best possible cybersecurity stance against the most likely threats and boost confidence in our defences. We do this by automatically identifying global threats you had been blind to, leveraging a massive reservoir of security intelligence from more than one billion sensors with optimised threat analysis with human-machine teaming. Machine learning detects never before seen threats that human analysts would unlikely to discover due to lack of visualising and processing. The human interface match and outmatch the wits and ingenuity of the human attackers on the other side of that code with intuition and expertise, increasing situational awareness and focusing on what matters: you know precisely how your defences stack up before threats hit.
Trellix Insights proactively tracks and prioritises local and global threats that are predicted to hit enterprises. Through machine learning analysis, this capability allows businesses to determine how their specific comprehensive security posture derived from endpoint and cloud vantage points would perform and then provides pre-emptive prescribed protection actions that can be implemented quickly and easily to block those attacks.