Image Credit: Pexels
For users to be fully protected from online threats and breaches, security tools must be built into platforms and function proactively to prevent issues before they occur.
A tech company can talk a big game about security, but intent alone doesn’t safeguard users. As cloud systems and Web 3.0 platforms grow larger and more complex, potential security vulnerabilities become an increasing issue. And when systems handle high-value transactions, potential risks can cause even greater fallout.
Major security breaches aren’t usually dramatic, undercover operations. Instead, they arise from common practices such as poor password management, lax security credentials, and failure to enforce existing guidelines. That’s why security tools must be built into technology from the outset. Proactively identifying and repairing security lapses before problems occur saves time, money, and headaches.
Moving Beyond Static Security Rules and Declarations
Establishing a set of security rules for platforms and computing systems is a good start, but it isn’t the end of the process. Rules must also be enforced in real time to keep data fully secured and protected.
“Declared security is basically the transition from simply just defining security policies in a static configuration file to actively guaranteeing that these are essentially running in real time,” explained Srinivas Chippagiri, a senior member of the Salesforce technical staff.
Conversely, enforced security uses a proactive approach to maintain established security rules.
Chippagiri also noted that the most common security lapses involve basic security functions, such as improper encryption and failure to keep credentials confidential.
What would real-time enforcement of security rules look like in action? Consider a user who has access to some files but not others. If the user attempts to access a file without proper authorization, a robust security structure would have mechanisms in place to detect the violation and prevent access. However, when rules are merely declared but not enforced, the user would gain access, and the breach may only be discovered after it occurred.
AI agents are playing a role in security processes by enabling proactive measures to keep systems and data safe. Agentic systems work autonomously to detect threats and take appropriate steps to mitigate them, rather than issuing alerts when problems are detected.
Trust Building in the Age of Web 3.0
Web 3.0 promises to put power in the hands of individual users, but with that freedom comes significant risk. Namely, decentralized systems with little to no regulation can be risky from data and financial security perspectives, especially in the context of cryptocurrency and blockchain technology. In this case, “baked-in” security processes are crucial for platforms that handle crypto transactions and high-value data.
As the founder of Acquire.Fi, Harrison Frye is well aware of the importance of technological security.
“We do have certain due diligence and KYC [know your customer], both financial and smart contract analysis, and political and social exposure checks,” explained the executive. “We do those kinds of [checks] with our tech. So that helps make things safer.”
This multi-level vetting process offers assurance that data provided is accurate. Financial misrepresentation is unfortunately common in this space, and without proper security, it’s easy to be lured in by figures that aren’t exactly genuine.
Many companies also combine their technology with human reviewers, who can verify financial statements and flag any red flags using their extensive training and experience.
When It Comes to User Security, the Stakes Are High
Lax security practices will no longer be tolerated by users who demand more out of their computing systems and platforms. Simply setting security rules is no longer sufficient; online entities must anticipate threats before they materialize and act quickly to mitigate them.
