Explore the latest advancements and trends in information security automation. Stay ahead with cutting-edge cybersecurity automation news and insights.
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Automation in information security uses software to perform tasks like scanning for vulnerabilities, detecting threats, and enforcing policies without constant human intervention. It enables faster, consistent actions such as blocking malicious IPs or deploying patches based on predefined rules or machine learning models. This reduces manual effort and helps maintain security hygiene at scale.
However, automation can introduce risks if workflows are misconfigured or manipulated. Attackers may exploit automated responses to trigger false positives or disable protections, while errors in automation can propagate rapidly across systems. Security teams must carefully validate and monitor automated processes, balancing efficiency with oversight to prevent unintended consequences and maintain control over security operations.
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Automated Frequency Coordination systems by default trust client-side data, which could lead to location spoofing and other attacks that disrupt traffic.
Teams are dealing with a truly dangerous problem — automation that works, but that no one understands.
Companies are still experimenting with automated AI systems to find security weaknesses, but fewer are relying on the technology.
Researchers discover an exploit chain combining over-permissioned roles, secrets discovery, and non-human identities that could have compromised a popular automation service.
The disguised apps use WebView automation, JavaScript injection, and OTP interception to avoid detection and complete fraudulent subscriptions.
In the latest evolution of automated cyberattacks, threat actors heavily leveraged AI agents to support campaigns against entities in Mexico and Brazil.
Cyber adversaries have long used AI, but now attackers are using large language models to develop exploits and orchestrate complex attacks.
While drivers race to shave off seconds on the track, the team's IT and engineering staff are speeding up how they deliver security.
Discovery used to be the bottleneck for open source bugs, but with automated discovery, remediation's the bottleneck, which bounties don't fund.
PRT-scan is the second campaign in recent months where a threat actor appears to have leveraged AI for automated targeting of a widespread GitHub misconfiguration.
An emerging threat cluster tracked as UAT-10608 is exploiting vulnerable Web-exposed Next.js apps and using an automated tool to exfiltrate credentials, secrets, and other system data.
As AI took center stage at this year's conference, experts debated automation, oversight and the evolving role of human intelligence in cybersecurity — despite the US government's notable absence.
A new service on the cybercrime market provides automated capabilities to create persistent information-stealing social engineering attacks.
With the rapid innovations in AI, we are entering an exciting era of automated risk remediation. Learn about security team readiness to leverage agentic AI for threat and exposure management.
Speed and security are historically clashing priorities, but with AI and automation, it's increasingly important that application developers and security teams get on the same page.
Discover a strategic approach to govern scraping risks, balance security with business growth, and safeguard intellectual capital from automated data harvesting.
The threat actor has been compromising cloud environments at scale with automated worm-like attacks on exposed services and interfaces.
Investors poured $140 million into Torq's Series D Round, bringing the startup's valuation to $1.2 billion, to bring AI-based "hyper automation" to SOCs.
A new around of vulnerabilities in the popular AI automation platform could let attackers hijack servers and steal credentials.
Automated infections of potentially fully patched FortiGate devices are allowing threat actors to steal firewall configuration files.