Critical data breaches are in the news on a regular basis these days. A single breach can result in massive losses, both in money and reputation. Stock prices drop, customers become angry and business goals are jeopardized.
Explore the latest: Gartner Top Security and Risk Trends for 2022
“ Security and risk management leaders have operated in the shadows for a long time. Now it’s their opportunity to shine”
Security — once merely a small part of enterprise IT — is now a significant function, crucial for organizational success. This has elevated the role of security and risk management (SRM) leaders, who are currently faced with the difficult task of protecting their organizations from harmful cyberattacks and tougher regulators with increased expectations.
“Security and risk management leaders have operated in the shadows for a long time. Now it’s their opportunity to shine,” said Peter Firstbrook, research vice president at Gartner. “If they exploit emerging trends and build a strong security program, they can keep their organization safe and significantly elevate their standing.”
Firstbrook identified the six major upcoming security and risk management trends, along with some of their key impacts.
Peter Firstbrook, research vice president at Gartner discusses security trends during the Gartner Security and Risk Management Summit 2018
Trend No. 1: The spotlight is on
Security breaches threaten C-level jobs and cost organizations millions of dollars, as proven by Equifax and Maersk. As a result, business leaders and senior stakeholders now focus much more on what is going on in the security department. SRM leaders should capitalize on this increased attention and work closely with business stakeholders to link security strategy with business initiatives. This is also a perfect opportunity to address skill shortages and increase professional development of the internal security workforce.
“When speaking with senior executives, an important but often neglected aspect is the language barrier,” said Firstbrook during the Gartner Security and Risk Management Summit 2018. “Speak the language of the business and don’t lose yourself in technical terms when you deal with the C-suite.”
Trend No. 2: Regulations enforce change
The rise of data breaches forces enterprises to comply with an increasingly complex legal and regulatory environment, including Europe’s General Data Protection Regulation (GDPR).
Data is both an asset and a potential liability. Digital business plans must weigh both and seek innovative solutions to lower costs and potential liabilities. “Leading organizations are focused on how a compliance program can act as a business enabler,” explained Firstbrook. “The message SRM leaders must communicate to CEOs is that data protection has both costs and risk but can also be used as a business differentiator.”
Trend No. 3: Security moves to the cloud
Enterprise security organizations are getting buried under the maintenance burden of legacy security solutions. Cloud-delivered security products are more agile and can implement new detection methods and services faster than on-site solutions.
But not all cloud security services are created equal. Exploiting the cloud is more than moving legacy management servers to the cloud. SRM leaders should look for solutions that take full advantage of cloud scale, increased data telemetry, staff augmentation, machine learning, API-based access, and other services and products that are disruptive to the status quo.
Trend No. 4: Machine learning becomes the watchdog
By 2025, machine learning (ML) will be a normal part of security practice and will offset some skills and staffing shortfalls. In its current state, ML is better at addressing narrow and well-defined problem sets, such as classifying executable files. We can’t escape the fact that humans and machines complement each other, and together they can outperform each alone. Machine learning reaches out to humans for assistance to address uncertainty and aids them by presenting relevant information.
“We cannot escape the immutable fact that humans and machines complement each other,” said Firstbrook. “Together they can outperform either alone.”
Today it is difficult to unpack the difference between marketing and good ML. SRM leaders should focus on how AI makes its product superior in terms of efficacy and administrative requirements. Keep in mind that ML requires human assistance, but the key question is where that assistance comes from.