Technical deep-dives, product updates, and perspectives on the future of security operations.
The storm has already made landfall. Industrialized AI in the hands of adversaries has broken the traditional SOC. Legacy SIEMs charge you for every GB ingested and every compute unit used. When your AI analysts increase investigative depth by 50x, your SIEM bill goes vertical.
We built Vigilense AI because traditional SIEMs force you to trade control for capability. The Sovereign SOC gives you both: BYODb architecture that queries your data in place, and an AI analyst that never sleeps.
You're paying $0.88 for every gigabyte your SIEM looks at. Not analyzes. Not protects. Just indexes. 500GB/day? That's $160K/year to build a search engine over your own data.
Why the industry's gold standard for alert management is creating the blind spots attackers exploit, and how AI-native threat fusion eliminates them without dropping a single alert.
Legacy SIEM vendors hide behind custom quotes and opaque pricing. We built a public savings calculator anyone can use, no sales call required. Here is why transparency matters and what the numbers reveal.
Traditional SIEMs require you to ship all your security data to their infrastructure. Our BYODb architecture flips this model -- your data stays where it is, and we bring the intelligence to you.
What used to take your team 4 hours to triage, investigate, and resolve now happens in seconds. Here's how our autonomous AI SOC analyst works 24/7/365 without alert fatigue.
Your security should never be someone else's leverage. We built Vigilense AI so you never have to trade control for capability. Here's why sovereignty matters.
Most SOCs generate 4,000+ alerts per day. Analysts ignore over 70% of them. The usual fix is hiring more analysts. We think the fix is killing the noise at the detection layer. Here is how our scoring engine separates signal from garbage before a human ever sees it.
We talked to 40+ CISOs in the last six months. The pattern is clear: they are done with per-GB pricing, proprietary data formats, and multi-year contracts that punish growth. The next generation of security buyers wants modular, data-sovereign platforms. Here is what that means for the market.
Splunk SPL does not translate to Snowflake SQL. Elastic KQL is not BigQuery. When your detection engine has to query eight different backends, you need an abstraction layer that does not lose fidelity. We built one. This post walks through the design tradeoffs.
Enterprise security sales with no brand, no case studies, and no SOC 2 badge. We closed our first three pilots by leading with a guarantee: if we do not cut your MTTR, you pay nothing. That bet changed everything. Here is what we learned about building trust from zero.
BYODb means every customer has a different database, different schema, different access pattern. Keeping tenant data completely isolated while running a shared control plane is a hard problem. This post covers our approach to credential vaults, query sandboxing, and network segmentation.
IBM puts the average breach cost at $4.88M. But most companies are already spending $500K+ per year on SIEM infrastructure that failed to prevent it. We broke down the real cost stack: ingestion, storage, analyst salaries, and the opportunity cost of a team stuck triaging noise instead of hunting threats.