Automation is your cloud protection keystone
8 MINS READ
Organizations that take the easy route of cloud adoption by lifting and shifting apps and data frequently use manually configured security policies.
The sheer complexity and heterogeneous nature of multi-cloud make it challenging to avoid inadvertent human errors in configuring security policies. Downsides to such glitches are aplenty—security blind spots, risk of data theft, ransomware attacks, and the need to pay hefty compliance penalties.
AUTOMATE TO SECURE
Automating cloud security configurations and policies helps your security team focus its time on proactive security rather than reacting to an incident.
Automation can be task-based, policy-driven, or cognitive. Task-based automation eliminates the need for manual security assessment and reporting. Organizations can create data classification policies without errors and in quick turnaround times.
Policy-driven automation helps organizations define, share, and enforce enterprise-wide security policies. This allows enterprises to overcome human errors in granting access and ensures proper reporting of incidents.
Cognitive threat management helps enterprises leverage machine learning algorithms to flag anomalies, detect risky user behavior, classify potential security incidents, and perform remediation automatically.
ACCELERATE QUICK WINS
Here are eight actionable insights to simplify and secure your cloud automation journey.
ROADMAP FOR CLOUD SAFETY
For cloud automation to be effective, you must give equal weight to process, policy, and technology. Otherwise, you could run the risk of building an unmanageable technology stack.
It’s crucial to maintain proper cyber hygiene by performing thorough cleanup before automating. Additionally, the cloud, infrastructure, and security teams should work together to eliminate information silos and stay focused on a common goal.
Lastly, it would help to establish processes for continuous governance of their automation efforts. Such methods ensure that your IT teams catch any discrepancies or redundant technologies early in the cycle, thereby keeping the automation efforts effective, seamless, and practical.