Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Brand impersonation detection is the process of identifying fake domains, cloned brand experiences, and exposure signals that show attackers are using a trusted brand to deceive customers, employees, or partners. For security teams, the harder problem is not finding every impersonation asset. It is knowing which signals indicate live user exposure and which ones should change the response.

We’re excited to announce Workflow for KeeperPAM — a new capability that eliminates standing privilege by ensuring every access request is explicitly made, approved and time-bound. This capability ensures that access to PAM resources is time-bound, eliminating standing privilege, mitigating unnecessary risk and simplifying least-privilege compliance.

For years, Managed Service Providers (MSPs) built their businesses around infrastructure management, endpoint support and network reliability. But cyber threats have evolved significantly, and with them, the role of the modern MSP. Today’s cyber threats rarely begin with sophisticated malware or brute-force attacks against firewalls. Instead, cybercriminals target the easiest and most effective entry point into any organization: identities.

Regulators and auditors now demand immutable proof of every privileged action, attributed to an identity, across Secure Shell (SSH), Kubernetes, databases, and Remote Desktop Protocol (RDP).

Originally published in Vancouver Tech Journal, June 2, 2026. Bijan Sanii is CEO and founder at INETCO It may seem reassuring that JPMorganChase, the largest U.S. bank, is among the 12 launch partners involved in Anthropic’s Project Glasswing. But given the stark cybersecurity warning the initiative represents, including a single financial institution is nowhere near enough.

Long gone are the days where usernames were all you needed to secure a network. The same is true for your Security Operations Center (SOC) analysts trying to investigate a threat. "Who is jdoe05 and why are they logging into this server?" is a critical question to answer during an investigation, one that neither NDR (Network Detection and Response) nor EDR (Endpoint Detection and Response) can answer directly. Enter the Identity Provider (IdP).

The conversation around AI in cybersecurity is changing. The first question was whether AI could help security teams move faster. It can. AI-led security operations can accelerate investigations, correlate signals, reduce manual work, and help defenders respond at the speed modern threats demand. But as AI moves from experimentation into production, the next question becomes harder: can organizations operate it at scale without creating a new cost problem?

Autonomous pentesting platforms are sitting at the top of HackerOne’s US leaderboard, surfacing zero-days in systems that had passed traditional audits for years. The capability is real, it is here, and it is only getting faster. But CISOs and procurement teams are not rushing to deploy it.

A supply chain attack is actively spreading through the npm registry by abusing a file most security tooling never looks at: binding.gyp. Instead of relying on the well-monitored preinstall or postinstall lifecycle scripts, the malware ships a weaponized binding.gyp that triggers node-gyp to execute attacker-controlled code automatically during npm install.

With code being written (& generated) faster than ever before, there is the unfortunate side effect that security vulnerabilities are also coming faster than ever before. Asking your LLM not to include security vulnerabilities in its code doesn't always work. It is becoming clear that the way software is built today, manually or with assistance, is insufficient when it comes to reliably, consistently, and provably writing secure code.