SAN FRANCISCO & BOSTON--(BUSINESS WIRE)--Mar 20, 2026--
Coralogix and Skyflow are launching a strategic partnership designed to help organizations safeguard sensitive customer data within logs. This collaboration ensures robust data protection without compromising the ability to perform searches, investigations, or leverage AI-driven operations.
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Logs and telemetry play a critical role in debugging, incident response, security analysis, and AI workflows. However, they often contain sensitive customer data, embedded both in structured fields and unstructured text. While many observability tools mitigate this risk through redaction, this approach comes at a cost—eliminating exposure but also stripping away context. The result? Logs become more difficult to query, correlate, and operationalize effectively.
Coralogix and Skyflow take a fundamentally different approach: protect sensitive customer data by default while preserving the usability of observability data across humans and AI systems.
“The traditional approach of redaction creates a false trade-off between safety and usefulness,” said Anshu Sharma, CEO of Skyflow. “Once sensitive data is stripped out, teams lose the ability to search effectively, investigate incidents, or let AI agents reason over what actually happened. As a Runtime AI Data Control Platform, Skyflow ensures sensitive customer data stays governed and isolated, while observability data remains fully usable.”
Ariel Assaraf, Coralogix CEO, said: “Coralogix customers rely on observability data as a trusted system of record—supporting engineers, security teams, and the growing demands of AI-driven automation. They shouldn’t have to choose between safeguarding sensitive customer data and maintaining operational efficiency. By partnering with Skyflow, we ensure they can achieve both seamlessly.”
Why Traditional Approach Falls Short
In conventional observability pipelines, sensitive customer data is simply masked or completely removed breaking functionality:
Instead of permanently removing sensitive values, Skyflow replaces them with consistent, privacy-preserving tokens, allowing logs to remain searchable and analyzable while the underlying data is centrally controlled, access-governed, and auditable.
Data Residency and Sovereignty by Design
Coralogix already enables customers to deploy observability workloads in specific geographic regions to meet data residency requirements. By combining this with Skyflow’s runtime data control capabilities, organizations can continue to meet strict data sovereignty obligations —ensuring sensitive customer data is governed, isolated, and accessed only under policy, while observability data remains local, usable, and compliant across regions. This approach helps organizations operating in regulated or multi-region environments reduce cross-border data exposure while maintaining full visibility and operational effectiveness.
Built for AI-Driven Observability
The joint approach enables organizations to:
The result is observability that is privacy-safe by design, operationally effective, and ready for AI-native workflows.
About Coralogix
Coralogix is a leading observability platform that helps organizations understand, visualize, and act on their logs, metrics, and traces in real time. By uniting high-performance analytics with AI-driven intelligence through its multi-agent assistant Olly, Coralogix enables customers to achieve operational excellence, strengthen data and cloud observability, enhance digital experiences, and reduce observability costs at scale.
Thousands of teams worldwide—including leaders in fintech, e-commerce, gaming, and SaaS —trust Coralogix to power their cloud-native observability. www.coralogix.com
About Skyflow
Skyflow secures the flow of data across datastores, models, and agents. The company is trusted by Fortune 500 and growth startups across financial services, healthcare, travel & hospitality, and retail. www.skyflow.com
Protect sensitive customer data by default while preserving the usability of observability data across humans and AI systems.
WASHINGTON (AP) — The White House said on Friday that Congress should “preempt state AI laws” that it views as too burdensome, laying out a broad framework for how it wants Congress to address concerns about artificial intelligence without curbing growth or innovation in the sector.
The legislative blueprint outlines a half-dozen guiding principles for lawmakers, focusing on protecting children, preventing electricity costs from surging, respecting intellectual property rights, preventing censorship and educating Americans on using the technology.
House Republican leaders swiftly endorsed the framework and said they're ready to work “across the aisle” to pass legislation, but doing so would be heavy lift, requiring agreement with Democrats in the Senate as public divisions over AI run deep.
The announcement comes as state governments have forged ahead on their own regulations for AI while civil liberties and consumer rights groups lobby for more regulations on the powerful technology. The industry and the White House have pushed back, arguing that a patchwork of rules would hurt growth. Trump signed an executive order in December to block states from crafting their own regulations.
“This was in response to a growing patchwork of 50 different state regulatory regimes that threaten to stifle innovation and jeopardize America’s lead in the AI race,” said White House AI czar David Sacks in a social media post Wednesday.
Sacks said the next step is to work with Congress to turn the administration's principles into federal legislation.
While passing sweeping AI legislation will be difficult, especially in a midterm election year, the framework appeared to seek common ground between AI-wary Republicans and Democrats with a focus on widespread and bipartisan concerns, such as the harms that AI chatbot companionship can pose to children and the electricity costs of AI infrastructure.
“It covers basically all the key sticking points I think that might stop an AI bill from moving through Congress,” said Neil Chilson, a Republican former chief technologist for the Federal Trade Commission who now leads AI policy at the Abundance Institute. “It reads to me as an attempt to build a larger tent, even if it doesn’t give everybody everything that they want.”
Four states — Colorado, California, Utah and Texas — have already passed laws that set some rules for AI across the private sector, but the White House is calling for “strong federal leadership” to make sure the public can trust how artificial intelligence is being used in their lives. The state-level laws include limiting collection of certain personal information and requiring more transparency from companies.
As backlash against data centers has increased along with rising power prices, the White House had previously stepped up pressure on AI companies and the power sector to do more to address the issue -- including having AI companies sign voluntary pledges earlier this month to build their own power generation plants.
The Trump administration says it doesn't think Congress should preempt all state regulatory powers over AI, including enforcement of general laws against AI developers, “to protect children, prevent fraud, and protect consumers.” It also says Congress shouldn't interfere with local authorities in deciding where to place data centers and other AI infrastructure, or how states procure their own AI tools for law enforcement or education.
However, it says states “should not be permitted to regulate AI development,” shouldn't penalize AI developers for a third party's unlawful conduct using their product, and “should not unduly burden Americans’ use of AI for activity that would be lawful if performed without AI.”
The framework recommends against wading into the legal fights between artists and creators and the technology companies that have ingested huge amounts of copyrighted works to build AI systems that can generate new text, images and sound.
The Trump administration “believes that training of AI models on copyrighted material does not violate copyright laws,” according to the document, but acknowledges “arguments to the contrary exist and therefore supports allowing the Courts to resolve this issue.”
There are dozens of lawsuits pending from writers and publishers, visual artists, music record labels and others. Judges have largely sided with AI developers in allowing for the “fair use” of copyrighted works to create something new, but some have questioned how the materials were obtained. A federal judge in September approved a $1.5 billion settlement between artificial intelligence company Anthropic and authors who allege nearly half a million books had been illegally pirated to train its chatbot.
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O'Brien reported from Providence, Rhode Island.
President Donald Trump speaks at a dinner with Japan's Prime Minister Sanae Takaichi in the State Dining Room of the White House, Thursday, March 19, 2026, in Washington. (AP Photo/Julia Demaree Nikhinson)
