-
Post-election pressures complicate US and Israeli decisions on Iran
-
South African voters report smoother local election but declining IEC trust
-
UN members approve talks on treaty protocol against environmental crime
-
Dolly Parton museum and Nashville hotel open after singer’s death
-
Family-run West Sussex beach café prepares for first winter season
-
George and Amal Clooney attend New York political-comedy reading
-
CT scans reveal health and burial clues from Egypt’s Braided Lady mummy
-
British buyers pay substantial premiums for period-home appearance
-
Oxford faces complaints over lecturer’s classroom attire
-
Thomas Markle released to house arrest after child-abuse-image charge
-
Kyren Wilson and John Higgins reach International Championship snooker final
-
Dawn of War 4 developers chose Adeptus Mechanicus for tactical variety
-
New Zealand and Tonga meet for place in Rugby League World Cup final
-
Italy face unbeaten South Africa in Turin Nations Championship match
-
Reports of unsafe AI-toy responses renew calls for child-safety rules
-
ChatGPT interactive interface feature tested across six custom tools
-
Juneau food network combines difficult supply routes with deep sharing traditions
-
Freshways milk-price cut deepens pressure on UK dairy farms
-
India climbs green-transition ranking after first emissions decline in 25 years
-
Labour and National remain virtually tied as New Zealand vote count advances
-
Trump names Stephen Miller as White House chief of staff after midterm losses
-
The Good Daughter adapts Karin Slaughter thriller with Rose Byrne and Meghann Fahy
-
Restored Albanian tower houses anchor new rural tourism trail
-
Heavy-lift drone evacuates wounded Ukrainian soldier from frontline kill zone
-
Sonia Gandhi reflects on family tragedy and reluctant political career
-
Morrison says West Brom recovered after pressure from successive derby losses
-
Pope Leo begins three-country South American tour in Uruguay
-
Britain considers 2027 state visit for Ukraine’s Zelensky
-
Khawaja says entire Australia camp knew of 2018 ball-tampering plan
-
Anna Miltina Confronted with Racism Allegations on ProSieben Show
-
November Foraging Guide: Edible Mushrooms and Critical Safety Protocols
-
German Auto Giants Face Existential Crisis as China Sales Plummet
-
Microsoft Updates Xbox PC App with 60% Faster Startup and Redesigned Interface
-
Cause of Death Revealed for 'Ellen' Producer Matthew Wright
-
Early Polar Vortex Disruption Creates Uncertain Winter Outlook for Pennsylvania
-
Fusion Power, Global Capital, Branded Streaming and Neurology Breakthroughs: New to The Street Show #779 Premieres Tonight on Bloomberg Television
-
DEA Marijuana Rescheduling Hearing Closes With Government Not Meeting Its Burden Of Proof?
-
How to Enjoy Luxury Experiences on a Budget
Matters.AI Announces $6.25 Million Funding to Launch the First AI Security Engineer That Keeps Enterprise Data Security on Autopilot
Matter.AI's autonomous system functions like an AI security engineer, understanding context, monitoring behavior, and protecting sensitive data
SAN FRANCISCO, CA / ACCESS Newswire / October 15, 2025 / Matters.AI, an AI-native data security company, today announced $6.25 million in funding to pioneer a new class of data protection system, the AI Security Engineer. Funding consists of a $4.75 million Seed Round, co-led by Kalaari Capital and Endiya Partners, with participation from Better Capital, Carya Venture Partners, and leading cybersecurity angels, and an earlier $1.5 million pre-Seed Round led by Better Capital and Carya Venture Partners. The raise will fuel research and development in predictive defense, a US expansion, and scaling engineering to meet enterprise demand.

Matters.AI is designed to function like an AI security engineer, giving enterprises one autonomous system that can see, understand, and protect data everywhere, before any damage is done. Matters.AI fuses semantic graph intelligence with predictive reasoning into existing systems, not as an AI layer on top. It understands context, monitors behavior, and protects sensitive data autonomously across cloud, SaaS, and endpoints.
"The market doesn't need another tool or alert. Matters.AI instead provides an intelligent AI interface that understands context and acts before misuse occurs," said Keshava Murthy, CEO and Co-Founder of Matters.AI. "The future of security is AI-native. That's why we built the AI Security Engineer to keep data protection always-on and self-learning."
The most important part of protecting sensitive data is finding where it is, knowing how it's being used, and understanding if it's leaving the environment. Rising data security needs and the explosion of data across hybrid clouds, endpoints, microservices, and AI pipelines, requires a strategic approach that is accessible, intelligent, and always on. Security leaders understand that it only takes one breach to lose what took a company years to build.
In response to these issues, Matters.AI was built by security engineers, for security teams. The AI native data security platform was built to protect sensitive data wherever it lives and however it moves; fitting into enterprise architecture without needing to rip and replace.
"Security teams tell us their biggest gap is between visibility and enforcement. Matters unifies discovery, lineage, and intent-aware controls into a single policy plane so organizations can prevent data exfiltration across cloud, SaaS, endpoints, and AI tools - while cutting alert noise," said Sateesh Andra, Managing Director, Endiya Partners. "We're delighted to co-lead this round with Kalaari Capital, and back Keshav, Harsh, and Dhiraj as they execute on this AI-native architecture."
A single data breach costs an average of $8.97M, but over 90% of sensitive data still remains invisible to security teams across enterprises, meaning that it can't be protected. Every day, analysts chase thousands of alerts, yet most real data threats slip through unnoticed. Legacy Data Loss Prevention (DLP) and Data Security Posture Management (DSPM) tools flood teams with noise, missing the signals that truly matter.
Designed to enable CISOs with the clarity they deserve, the AI-native security engineer sees, understands, and protects sensitive data in real time. Matters.AI unifies fragmented tools with context-driven insights, empowering enterprises to safeguard what truly matters. The system works through:
Endpoint visibility through eBPF tracing to see data creation and movement.
Data lineage & fingerprinting to connect content and context.
On-prem + SaaS deployments for hybrid and regulated enterprises.
GenAI governance across ChatGPT, Copilot, and similar tools.
"Our system operates like an autonomous cockpit," said Harsh Sahu, CTO & Co-Founder of Matters.AI. "It learns continuously, correlating telemetry from endpoints, SaaS, and cloud to predict and contain data misuse in real time."
"As privacy regulations tighten worldwide and AI adoption accelerates, enterprises face an urgent need for intelligent, autonomous data protection," said Sampath P, Partner, Kalaari Capital. "Matters.AI is building the control layer for this new reality, a system that learns, adapts, and secures data while ensuring continuous compliance in an AI-driven world."
About Matters.AI
Matters.AI is the AI-native data security platform that unifies DSPM, Insider Risk, DDR, Exfiltration Defense, and DLP into one intelligent layer. It understands what data means, who's interacting with it, and why stopping threats before they become incidents. Backed by Kalaari Capital, Endiya Partners, Better Capital, and Carya Venture Partners, Matters.AI protects enterprises across global markets. Learn more at www.matters.ai.
Media Contact:
Escalate PR for Matters.AI
[email protected]
SOURCE: Matters.AI
View the original press release on ACCESS Newswire
Y.Nakamura--AMWN