Author: Guadalupe Boll
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How to Secure Your Data Part 3: Sensitive Data Control
This is Part 3 in our series on how to secure your data (read Part 2: Database Session Control). Defending sensitive data is the core of database security. This chapter ignores upstream attack vectors and focuses exclusively on securing the data itself. Data defense comes down to a single operational reality: every data breach must…
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Discover Sensitive Data: Using AI Analysis of Runtime SQL Activity
Sensitive data discovery is essential to any security initiative, and this new application of AI technology quickly narrows the focus to your critical columns. By analyzing runtime SQL activity with AI, security teams can eliminate 95% of the noise and map active sensitive data in minutes. The Unspoken Roadblock Killing Database Security Data masking, compliance…
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Architecting Security Against Real-World Attack Vectors
Perimeter defenses fail to deliver protection because adversaries leverage attack vectors that bypass them. For example, by using valid credentials, exploiting software vulnerabilities, or attacks by internal users already inside the perimeter. Every major attack path – from application-tier exploits to host-level compromises – ultimately targets enterprise data stores for exfiltration, alteration, or ransomware extortion.…
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Automated Sensitive Data Discovery: Mapping Database Schemas
Every organization sits on a ticking data time bomb. This risk does not stem from a breakthrough in sophisticated hacking techniques. It exists because companies do not know what sensitive data they store or where it resides. As infrastructure scales and databases grow, organizations completely lose track of their assets. This challenge spans two independent…
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How to Secure Your Data Part 2: Database Session Control
This is Part 2 in our series on how to secure your data. In Part 1, we established the theoretical foundation and the necessity of balancing and prioritizing detection over prevention. In this installment, we move into practical implementation, starting with database session control. Session control is generally easier, but you have to learn to…
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DIY: Auditing Oracle for FREE
Auditing an Oracle database may not be a trivial exercise, but it’s not that difficult either. Oracle includes everything you need out of the box for free. You just need to know how to put the pieces together, and this guide will show you the roadmap, explaining everything you need to know. The Four Pillars…
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Poll: Security Product Selection Criteria
A recent industry poll regarding security product procurement reveals a stark divergence in buyer psychology: 75% of respondents cite vendor reputation and market recognition as their primary deciding factor, while only 25% prioritize product quality. Price and purchasing friction received almost no votes. Deciding Factor Percentage of Respondents Core Buyer Motivation Vendor Reputation or Recognition…
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How to Secure Your Data – Part 1
The cybersecurity industry is built on a collective of lies. Every year, enterprise security teams pour millions into next-generation firewalls, zero-trust network access, and edge protection vendors who promise to turn their infrastructure into an unbreachable fortress. Every year, there’s a new promise of the next revelation. And every year, those same enterprises end up…
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Vendor Preference Poll: The Ideal Vendor
We recently polled a group of cybersecurity and IT leaders about their ideal type of vendor for high-end security solutions. The results were overwhelming: On paper, this makes perfect sense. Security leaders are smart and know that smaller, specialized vendors are agile, stay ahead of the technology curve, and offer deep, expert support. They also…
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A Database is Not a Network: The Fallacy of Packet Inspection
The security industry has a habit of trying to fit square pegs into round holes. One of the most persistent examples is the attempt to secure databases using network-centric technology. They are called “Database Firewalls” or “Database Activity Monitoring (DAM)” systems based on packet inspection, but these labels hide a fundamental misunderstanding: a database is…